# OpenObserve > Open source observability platform for logs, metrics, traces, and real user monitoring. Built in Rust. SQL and PromQL. Deploy in 2 minutes. OpenObserve (O2) unifies observability into a single binary. 140x lower storage costs than Elasticsearch via Apache Parquet columnar storage. 8 to 10x lower cost than Datadog with flat per GB ingestion and unlimited users. OpenTelemetry native. SOC 2 Type II certified. 19,000+ GitHub stars. Used by over 6,000 organizations including Fortune 100 companies. ## Key Facts - **Language:** Rust (backend), Vue.js (frontend) - **Storage:** Apache Parquet on object storage (S3, GCS, Azure Blob, MinIO) - **Query:** SQL (logs and traces), PromQL (metrics) - **License:** AGPL-3.0 (OSS), commercial (Enterprise) - **Deployment:** Single binary, Helm chart on Kubernetes, or fully managed Cloud - **Cloud Regions:** US West 2, US East 2, EU Central 1 - **Compliance:** SOC 2 Type II, ISO 27001 aligned, HIPAA Security Rule aligned - **Funding:** $10M Series A (April 2026) led by Nexus Venture Partners and Dell Technologies Capital - **GitHub:** [github.com/openobserve/openobserve](https://github.com/openobserve/openobserve) - **Community:** [Slack](https://short.openobserve.ai/community) ## Quick Links - [Try Cloud Free for 14 Days](https://cloud.openobserve.ai/web/login) - [Download Self Hosted](https://openobserve.ai/downloads/) - [Pricing](https://openobserve.ai/pricing/) - [Pricing (machine-readable)](https://openobserve.ai/pricing.md) - [Documentation](https://openobserve.ai/docs) - [Security and Compliance](https://openobserve.ai/security-compliance/) ## Platform - [Logs](https://openobserve.ai/logs/) - [Metrics](https://openobserve.ai/metrics/) - [Traces](https://openobserve.ai/traces/) - [Frontend Monitoring, RUM and Session Replay](https://openobserve.ai/frontend-monitoring/) - [Dashboards and Visualization](https://openobserve.ai/visualization-and-dashboards/) - [Alerts](https://openobserve.ai/alerts/) - [Incidents](https://openobserve.ai/incidents/) - [Pipelines](https://openobserve.ai/pipelines/) - [LLM Observability](https://openobserve.ai/llm-observability/) - [AI Assistant](https://openobserve.ai/ai-assistant/) - [AI SRE Agent](https://openobserve.ai/ai-sre/) - [Integrations](https://openobserve.ai/integrations/) ## Solutions - [Kubernetes Monitoring](https://openobserve.ai/kubernetes-monitoring/) - [AWS Monitoring](https://openobserve.ai/aws-monitoring/) - [Azure Monitoring](https://openobserve.ai/azure-monitoring/) - [GCP Monitoring](https://openobserve.ai/gcp-monitoring/) - [Database Monitoring](https://openobserve.ai/database-monitoring/) - [OpenTelemetry](https://openobserve.ai/opentelemetry/) ## Comparisons - [OpenObserve vs Datadog](https://openobserve.ai/datadog-alternative/) - [OpenObserve vs Splunk](https://openobserve.ai/splunk-alternative/) - [OpenObserve vs New Relic](https://openobserve.ai/newrelic-alternative/) - [OpenObserve vs Langfuse](https://openobserve.ai/blog/langfuse-alternatives/): Seven Langfuse alternatives for LLM observability compared on license, self-hosting, and OpenTelemetry support — including what the ClickHouse acquisition changed. - [OpenObserve vs LangSmith](https://openobserve.ai/blog/langsmith-alternatives/): Seven open-source LangSmith alternatives compared on audited licenses and real self-hosting limits. - [OpenObserve vs Prometheus](https://openobserve.ai/blog/prometheus-alternatives/): Prometheus alternatives for metrics at scale — OpenObserve, VictoriaMetrics, Thanos, Mimir, and Cortex on high cardinality, long-term retention, and cost. ## Customer Stories - [How DevZero Migrated from Datadog in Under an Hour and Cut Observability Costs by 4x with OpenObserve](https://openobserve.ai/customer-stories/devzero-customer-story/) - [How Stonal Accelerated Issue Diagnosis and Met European Compliance Standards while Decreasing Observability Costs with OpenObserve](https://openobserve.ai/customer-stories/stonal-customer-story/) - [How Evereve Eliminated Monitoring Constraints, Reduced Costs by > 90%, and Unified Observability Across Teams with OpenObserve](https://openobserve.ai/customer-stories/evereve-customer-story/) - [How Avatar Achieved SOC 2 Compliance, Improved Uptime, and Saved Costs with OpenObserve](https://openobserve.ai/customer-stories/avatar-customer-story/) - [How Decklar Improved IoT Log Management with OpenObserve](https://openobserve.ai/customer-stories/decklar-case-study/) - [How Jidu Scaled Smart Car Tracing with OpenObserve](https://openobserve.ai/customer-stories/jidu-case-study/) - [How ONEngine Reduced Data Monitoring Costs with OpenObserve](https://openobserve.ai/customer-stories/onengine-case-study/) ## Company - [About](https://openobserve.ai/about/) - [Blog](https://openobserve.ai/blog/) - [Partners](https://openobserve.ai/partners/) - [Careers](https://openobserve.ai/careers/) - [Contact](https://openobserve.ai/contact/) ## Frequently Asked Questions ### 1. What is OpenObserve and who is it for? OpenObserve (O2) is an open source observability platform that unifies logs, metrics, traces, and real user monitoring into a single tool. It deploys as one binary or Helm chart, stores data on low cost object storage, and uses SQL and PromQL — no proprietary query language to learn. It is built for DevOps and platform engineering teams that want full stack observability without stitching together multiple tools, managing unpredictable SaaS bills, or paying for indexed storage they do not need. Over 6,000 organizations use it, from startups monitoring a single cluster to Fortune 100 companies ingesting more than 2 PB/day. What sets it apart: up to 140x lower storage costs than Elasticsearch via Apache Parquet columnar storage, 8 to 10x lower total cost than Datadog with flat per GB ingestion pricing and unlimited users, native OpenTelemetry support with no vendor lock in, and a built in AI SRE Agent for automated root cause analysis and natural language querying. ### 2. How does OpenObserve compare to legacy observability solutions? Most observability stacks fall into two camps. Expensive SaaS platforms like Datadog, Splunk, and New Relic charge per host, per metric, and per user, leading to unpredictable bills. Self managed open source stacks like Grafana LGTM or the ELK stack require maintaining three to five separate components, each with its own query language and operational overhead. OpenObserve takes a third approach: a single unified platform that is open source, OpenTelemetry native, and runs as one binary. Logs, metrics, traces, dashboards, alerts, RUM, and session replay live in one place with one query language and one storage layer. This removes the multi tool fragmentation of the Grafana stack while avoiding the vendor lock in and per seat pricing of Datadog and Splunk. The Self Hosted Enterprise plan is free up to 50 GB/day and includes SSO, RBAC, and audit trail — features that are paid add ons or absent in competing free tiers. ### 3. What does OpenObserve cost at my scale? OpenObserve pricing is ingestion based. You pay per GB ingested, not per host, per user, per metric, or per span. The OSS plan is completely free for self hosting with no usage limits. The Self Hosted Enterprise plan is free up to 50 GB/day ingestion and includes SSO, RBAC, audit trail, and federated search. Cloud plans start with a 14 day free trial, include a 30% discount for annual commitment, and offer high volume discounts for Enterprise. See the [Pricing](https://openobserve.ai/pricing) page for current rates and the pricing calculator. ### 4. Can OpenObserve separate data between customers or teams? Yes. OpenObserve supports multi organization isolation. Each customer or team gets their own organization with separate data, users, streams, dashboards, and alerts. This is available in the Self Hosted Enterprise plan and Cloud Enterprise. For Kubernetes environments, you can route data per namespace or per cluster using the OpenTelemetry Collector with organization level routing. ### 5. What SSO providers does OpenObserve support? The Self Hosted Enterprise and Cloud Enterprise plans support SAML, OIDC, and OAuth, covering Active Directory, Microsoft Entra ID, Keycloak, Okta, Google Workspace, and other identity providers. RBAC is included for granular role based access control within each organization. SSO is available free up to 50 GB/day ingestion. ### 6. How do I migrate from Grafana or Datadog to OpenObserve? From Grafana: OpenObserve supports PromQL, so metric queries and alert rules translate directly. Dashboards can be recreated using the same SQL or PromQL queries across 19+ chart types. From Datadog: if you are already on OpenTelemetry, repoint your OTel Collector to OpenObserve. If using the Datadog agent, route through the OTel Collector StatsD receiver. Run both platforms in parallel for one to two months before cutover. ### 7. How does OpenObserve deploy in Kubernetes? Three paths. The Helm chart deploys the full stack in HA mode in under five minutes and is the recommended approach. A single binary container works for small environments and POCs. Or use OpenObserve Cloud for a fully managed, zero infrastructure option. For log shipping, deploy the OpenTelemetry Collector as a DaemonSet or sidecar — no changes to your application Docker images needed. See the [Downloads](https://openobserve.ai/downloads/) page for the Helm chart and configuration guides. ### 8. Does OpenObserve have an AI assistant for observability? Yes. The O2 AI Assistant converts natural language to SQL and PromQL, summarizes log patterns and anomalies, generates dashboards and alerts from plain English descriptions, and compares log behavior across deployments to surface regressions. The AI SRE Agent correlates alerts into incidents and identifies root causes automatically. OpenObserve also supports MCP so external AI agents can query your observability data directly. Both are included in Self Hosted Enterprise and Cloud Enterprise plans. ### 9. Does OpenObserve integrate with AWS, CloudWatch, and other tools? OpenObserve pulls metrics directly from the CloudWatch API — no intermediate collector required. Fluent Bit and Vector are supported with ready made configurations for log shipping. Any OpenTelemetry compatible source works out of the box, plus Auth0, Cloudflare, N8N, and tools that speak the Elasticsearch bulk API. MCP support allows AI coding assistants to query logs, metrics, and traces during development and debugging. ### 10. Does OpenObserve include alerting and incident management? Yes. Built in alerting supports threshold, anomaly, and composite alert types. Alerts trigger notifications to Slack, Microsoft Teams, email, PagerDuty, and webhooks. The AI SRE Agent correlates related alerts into a single incident and identifies the likely root cause, reducing alert fatigue and replacing the need for separate tools like OpsGenie for observability alerts. ## Frontend & RUM - [Real User Monitoring (RUM)](https://openobserve.ai/blog/real-user-monitoring-and-frontend-performance/): Monitor real user interactions and performance in real time. ## AI Integrations ### LLM Providers - [Amazon Bedrock](https://openobserve.ai/docs/integration/ai/providers/amazon-bedrock/): Trace foundation-model invocations. - [Anthropic (JS/TS)](https://openobserve.ai/docs/integration/ai/providers/anthropic-js/): TypeScript-first Claude tracing via OTel. - [Anthropic (Python)](https://openobserve.ai/docs/integration/ai/providers/anthropic/): Trace Claude calls with full token accounting. - [BytePlus](https://openobserve.ai/docs/integration/ai/providers/byteplus/): Trace BytePlus model inferences end to end. - [Cerebras](https://openobserve.ai/docs/integration/ai/providers/cerebras/): Ultra-fast inference, fully traced. - [Cohere](https://openobserve.ai/docs/integration/ai/providers/cohere/): Token cost and latency per generation. - [CometAPI](https://openobserve.ai/docs/integration/ai/providers/cometapi/): Track experiment metrics and LLM calls. - [DeepSeek](https://openobserve.ai/docs/integration/ai/providers/deepseek/): Prompt, completion, and cost telemetry. - [Fireworks AI](https://openobserve.ai/docs/integration/ai/providers/fireworks/): Fast inference with full trace context. - [Groq](https://openobserve.ai/docs/integration/ai/providers/groq/): Sub-second inference, fully traced. - [Hugging Face](https://openobserve.ai/docs/integration/ai/providers/huggingface/): Trace inference endpoints and pipelines. - [Mistral](https://openobserve.ai/docs/integration/ai/providers/mistral/): Span-level traces for every completion. - [Novita](https://openobserve.ai/docs/integration/ai/providers/novita/): Trace Novita-hosted model completions. - [Ollama](https://openobserve.ai/docs/integration/ai/providers/ollama/): Local model traces — nothing leaves the host. - [OpenAI (JS/TS)](https://openobserve.ai/docs/integration/ai/providers/openai-js/): JavaScript SDK calls, fully instrumented. - [OpenAI (Python)](https://openobserve.ai/docs/integration/ai/providers/openai/): Token usage, latency, and cost per call. - [OpenAI Assistants](https://openobserve.ai/docs/integration/ai/providers/openai-assistants/): Trace assistant runs and tool calls. - [Together AI](https://openobserve.ai/docs/integration/ai/providers/together-ai/): Token and latency metrics per call. - [vLLM](https://openobserve.ai/docs/integration/ai/providers/vllm/): Self-hosted serving, span by span. - [xAI Grok](https://openobserve.ai/docs/integration/ai/providers/xai-grok/): Capture every Grok completion. ### AI Frameworks & Agent SDKs - [Agno](https://openobserve.ai/docs/integration/ai/frameworks/agno/): Lightweight agent framework, traced end to end. - [Amazon Bedrock AgentCore](https://openobserve.ai/docs/integration/ai/frameworks/amazon-bedrock-agentcore/): Trace Bedrock agent orchestration. - [Amazon Bedrock Agents](https://openobserve.ai/docs/integration/ai/frameworks/amazon-bedrock-agents/): Multi-agent Bedrock traces per action group. - [AutoGen](https://openobserve.ai/docs/integration/ai/frameworks/autogen/): Capture agent conversations end to end. - [BeeAI](https://openobserve.ai/docs/integration/ai/frameworks/beeai/): Trace BeeAI agent workflows step by step. - [Claude Agent SDK](https://openobserve.ai/docs/integration/ai/frameworks/claude-agent-sdk/): Trace Claude-powered autonomous agents. - [Claude Code](https://openobserve.ai/docs/integration/ai/claude-code-tracing/): Trace agentic coding sessions. - [CrewAI](https://openobserve.ai/docs/integration/ai/frameworks/crewai/): Multi-agent traces, agent by agent. - [DSPy](https://openobserve.ai/docs/integration/ai/frameworks/dspy/): Trace compiled prompts and modules. - [DeepAgents](https://openobserve.ai/docs/integration/ai/frameworks/deepagents/): Observe deep reasoning agents end to end. - [GitHub Copilot](https://openobserve.ai/docs/integration/ai/github-copilot-tracing/): Agent traces from VS Code and Copilot CLI. - [Google ADK](https://openobserve.ai/docs/integration/ai/frameworks/google-adk/): Agent Development Kit traces. - [Google Gemini](https://openobserve.ai/docs/integration/ai/providers/google-gemini/): Prompts, completions, and latency. - [Haystack](https://openobserve.ai/docs/integration/ai/frameworks/haystack/): Trace pipelines from query to answer. - [Instructor](https://openobserve.ai/docs/integration/ai/frameworks/instructor/): Structured output extraction, fully traced. - [Koog](https://openobserve.ai/docs/integration/ai/frameworks/koog/): Trace Koog agent decision loops. - [LangChain](https://openobserve.ai/docs/integration/ai/frameworks/langchain/): Trace every chain, tool, and LLM step. - [LangGraph](https://openobserve.ai/docs/integration/ai/frameworks/langgraph/): Visualize graph state across nodes. - [LangServe](https://openobserve.ai/docs/integration/ai/frameworks/langserve/): Deployed LangChain chains, fully traced. - [LiteLLM](https://openobserve.ai/docs/integration/ai/frameworks/litellm/): Call any LLM with a single API, traced. - [LiveKit](https://openobserve.ai/docs/integration/ai/frameworks/livekit/): Real-time voice and video agents, traced live. - [LlamaIndex](https://openobserve.ai/docs/integration/ai/frameworks/llamaindex/): Trace retrieval and synthesis steps. - [LlamaIndex Workflows](https://openobserve.ai/docs/integration/ai/frameworks/llamaindex-workflows/): Trace multi-step RAG workflows end to end. - [Mastra](https://openobserve.ai/docs/integration/ai/frameworks/mastra/): TypeScript agent traces. - [Microsoft Agent Framework](https://openobserve.ai/docs/integration/ai/frameworks/microsoft-agent-framework/): Trace .NET agent orchestration. - [Mirascope](https://openobserve.ai/docs/integration/ai/frameworks/mirascope/): Pythonic LLM calls, automatically traced. - [OpenAI Agents](https://openobserve.ai/docs/integration/ai/frameworks/openai-agents/): Trace tool calls and handoffs. - [Pipecat](https://openobserve.ai/docs/integration/ai/frameworks/pipecat/): Voice-agent pipelines, traced live. - [Pydantic AI](https://openobserve.ai/docs/integration/ai/frameworks/pydantic-ai/): Typed agent runs, fully instrumented. - [Quarkus LangChain4j](https://openobserve.ai/docs/integration/ai/frameworks/quarkus-langchain4j/): JVM-native LLM tracing for Quarkus apps. - [Ragas](https://openobserve.ai/docs/integration/ai/frameworks/ragas/): RAG evaluation runs, fully traced. - [Restate](https://openobserve.ai/docs/integration/ai/frameworks/restate/): Durable async workflows, traced end to end. - [Semantic Kernel](https://openobserve.ai/docs/integration/ai/frameworks/semantic-kernel/): Trace plugins and planner steps. - [Smolagents](https://openobserve.ai/docs/integration/ai/frameworks/smolagents/): Lightweight Hugging Face agents, traced. - [Spring AI](https://openobserve.ai/docs/integration/ai/frameworks/spring-ai/): JVM-native LLM tracing. - [Strands Agents](https://openobserve.ai/docs/integration/ai/frameworks/strands-agents/): Span-level agent observability. - [Swiftide](https://openobserve.ai/docs/integration/ai/frameworks/swiftide/): Rust-native RAG pipelines, fully traced. - [Temporal](https://openobserve.ai/docs/integration/ai/frameworks/temporal/): Durable workflow execution traces. - [Vercel AI SDK](https://openobserve.ai/docs/integration/ai/frameworks/vercel-ai-sdk/): Trace streamed responses and tools. - [Voltagent](https://openobserve.ai/docs/integration/ai/frameworks/voltagent/): Trace Volt agent interactions end to end. ### AI Gateways & Routers - [Anannas](https://openobserve.ai/docs/integration/ai/gateways/anannas/): AI gateway routing, fully traced. - [Kong Gateway](https://openobserve.ai/docs/integration/ai/gateways/kong-gateway/): AI traffic, traced at the gateway. - [LiteLLM Proxy](https://openobserve.ai/docs/integration/ai/gateways/litellm-proxy/): Unify and trace 100+ model APIs. - [OpenRouter](https://openobserve.ai/docs/integration/ai/gateways/openrouter/): Route and trace across providers. - [Portkey](https://openobserve.ai/docs/integration/ai/gateways/portkey/): Gateway-level traces and cost control. - [Vercel AI Gateway](https://openobserve.ai/docs/integration/ai/gateways/vercel-ai-gateway/): Edge routing with full traces. ### No-Code AI Builders - [Codename Goose](https://openobserve.ai/docs/integration/ai/no-code/codename-goose/): No-code AI builder, fully instrumented. - [Flowise](https://openobserve.ai/docs/integration/ai/no-code/flowise/): Visual LLM flows, fully instrumented. - [Langflow](https://openobserve.ai/docs/integration/ai/no-code/langflow/): Trace drag-and-drop LLM flows. - [LobeChat](https://openobserve.ai/docs/integration/ai/no-code/lobechat/): Self-hosted chat platform, fully traced. - [Open WebUI](https://openobserve.ai/docs/integration/ai/no-code/openwebui/): Self-hosted chat, fully traced. - [Vapi](https://openobserve.ai/docs/integration/ai/no-code/vapi/): Voice AI agent calls, traced end to end. - [n8n](https://openobserve.ai/docs/integration/ai/no-code/n8n/): Trace AI workflows step by step. ### AI Dev Tools - [Cognee](https://openobserve.ai/docs/integration/ai/tools/cognee/): Memory layer for agents, fully traced. - [Exa](https://openobserve.ai/docs/integration/ai/tools/exa/): AI search API calls, fully traced. - [Firecrawl](https://openobserve.ai/docs/integration/ai/tools/firecrawl/): Web scraping pipelines, fully traced. - [Gradio](https://openobserve.ai/docs/integration/ai/tools/gradio/): ML demo apps, fully instrumented. - [LLM Applications](https://openobserve.ai/docs/integration/ai/llm-applications/): End-to-end LLM app observability guide. - [LibreChat](https://openobserve.ai/docs/integration/ai/tools/librechat/): Open-source chat UI, fully traced. - [MCP Claude](https://openobserve.ai/docs/integration/ai/mcp/claude/): Claude MCP server interactions, traced. - [MCP Server](https://openobserve.ai/docs/integration/ai/mcp/): Query observability from any AI agent. - [MCP Use](https://openobserve.ai/docs/integration/ai/tools/mcp-use/): MCP client-server interactions, traced. - [Milvus](https://openobserve.ai/docs/integration/ai/tools/milvus/): Vector-search latency and recall. - [Mixpanel](https://openobserve.ai/docs/integration/ai/tools/mixpanel/): Product analytics events, fully traced. - [Parallel](https://openobserve.ai/docs/integration/ai/tools/parallel/): Parallel LLM execution, traced end to end. - [PostHog](https://openobserve.ai/docs/integration/ai/tools/posthog/): Product analytics joined to traces. - [Promptfoo](https://openobserve.ai/docs/integration/ai/tools/promptfoo/): Eval runs with full trace context. - [Trubrics](https://openobserve.ai/docs/integration/ai/tools/trubrics/): LLM evaluation and user feedback, traced. - [Zapier](https://openobserve.ai/docs/integration/ai/tools/zapier/): Trace automated AI actions. ## Ingestion, APIs & Cloud Platforms ### AWS - [AWS](https://openobserve.ai/docs/integration/cloud/aws/quick-setup/): Logs and metrics from 15+ AWS services. - [AWS API Gateway](https://openobserve.ai/docs/integration/cloud/aws/api-gateway/): Request logs and latency per route. - [AWS CloudWatch Logs](https://openobserve.ai/docs/integration/cloud/aws/cloudwatch-logs/): Stream CloudWatch logs in — no agent. - [AWS CloudWatch Metrics](https://openobserve.ai/docs/integration/cloud/aws/cloudwatch-metrics/): Pull metrics straight from the API. - [AWS Lambda](https://openobserve.ai/docs/integration/cloud/aws/lambda/): Cold starts, duration, and error rates. - [AWS Network Firewall](https://openobserve.ai/docs/integration/cloud/aws/network-firewall/): Allow/deny traffic, fully logged. - [AWS Route 53](https://openobserve.ai/docs/integration/cloud/aws/route-53/): DNS query logging and health. - [AWS WAF](https://openobserve.ai/docs/integration/cloud/aws/waf/): Inspect blocked and allowed requests. - [Amazon CloudFront](https://openobserve.ai/docs/integration/cloud/aws/cdn/): Edge access logs at global scale. - [Amazon Cognito](https://openobserve.ai/docs/integration/cloud/aws/cognito/): Auth events and sign-in logs. - [Amazon EC2](https://openobserve.ai/docs/integration/cloud/aws/ec2/): Instance logs and host-level metrics. - [Amazon ECS](https://openobserve.ai/docs/integration/cloud/aws/ecs/): Container task logs and metrics. - [Amazon EventBridge](https://openobserve.ai/docs/integration/cloud/aws/eventbridge/): Capture and route event-bus traffic. - [Amazon RDS](https://openobserve.ai/docs/integration/cloud/aws/rds/): Slow queries and engine metrics. - [Amazon VPC Flow Logs](https://openobserve.ai/docs/integration/cloud/aws/vpc-flow/): Network flows for cost and forensics. - [Application Load Balancer](https://openobserve.ai/docs/integration/cloud/aws/alb/): Ingest ALB access logs for HTTP traffic observability. ### Microsoft Azure - [Azure Activity Logs](https://openobserve.ai/docs/integration/cloud/azure/activity-logs/): Subscription-level audit events. - [Microsoft Azure](https://openobserve.ai/docs/integration/cloud/azure/): Resource and platform logs from Azure. ### Edge / PaaS - [Cloudflare](https://openobserve.ai/docs/integration/cloud/cloudflare/): Edge and WAF logs via Logpush. - [Heroku](https://openobserve.ai/docs/integration/cloud/heroku/): Dyno logs via native log drains. - [Vercel](https://openobserve.ai/docs/integration/cloud/vercel/): Build and runtime logs, streamed live. ### Google Cloud - [GCP Logs](https://openobserve.ai/docs/integration/cloud/gcp/gcp-logs/): Logs and metrics across GCP. - [Google Cloud Run](https://openobserve.ai/docs/integration/cloud/gcp/cloud-run/): Request logs and container metrics. ### Log Shippers & Agents - [Curl](https://openobserve.ai/docs/ingestion/logs/curl/): Push log lines straight in with a single HTTP call. - [Filebeat](https://openobserve.ai/docs/ingestion/logs/filebeat/): Ship logs from existing Elastic agents. - [Fluent Bit](https://openobserve.ai/docs/ingestion/logs/fluent-bit/): Lightweight log forwarding for any host. - [Fluentd](https://openobserve.ai/docs/ingestion/logs/fluentd/): Unified logging layer with 1000+ plugins. - [Kinesis Firehose](https://openobserve.ai/docs/ingestion/logs/kinesis-firehose/): Stream AWS data directly, no buffer hops. - [ElasticSearch](https://openobserve.ai/blog/from-elasticsearch-to-openobserve-streaming-log-management/): Ship logs from your existing ElasticSearch pipelines. - [Syslog](https://openobserve.ai/docs/ingestion/logs/syslog/): Ingest classic syslog over TCP/UDP. - [Vector](https://openobserve.ai/docs/ingestion/logs/vector/): High-throughput log and metric pipeline. ### Traces - [OpenTelemetry](https://openobserve.ai/docs/ingestion/logs/otlp/): The native path. Any signal, any language. ## Application, Messaging & Languages ### Language SDKs - [.NET Logs](https://openobserve.ai/blog/opentelemetry-logging-in-dotnet-applications/): OpenTelemetry logging in .NET applications. - [.NET Tracing](https://openobserve.ai/blog/distributed-tracing-in-dotnet-application/): Distributed tracing in .NET applications. - [Go](https://openobserve.ai/blog/monitoring-go-with-opentelemetry/): OpenTelemetry tracing for Go services. - [Node.js](https://openobserve.ai/blog/how-to-send-pino-logs-to-openobserve/): Send Pino logs to OpenObserve. - [Python](https://openobserve.ai/blog/handling-errors-with-opentelemetry-python/): OpenTelemetry tracing for Python apps. ### Messaging, Queues & Data Pipelines - [Apache Airflow](https://openobserve.ai/docs/integration/data-pipeline/airflow/): DAG runs and task durations. - [Apache Kafka](https://openobserve.ai/docs/integration/message-brokers/kafka/): Broker lag, throughput, and offsets. - [Cribl](https://openobserve.ai/docs/integration/data-pipeline/cribl/): Route and reshape telemetry in flight. - [MuleSoft](https://openobserve.ai/docs/integration/data-pipeline/mulesoft/): AMC logs from your integration flows. - [NATS](https://openobserve.ai/docs/integration/message-brokers/nats/): Subject throughput and latency. - [RabbitMQ](https://openobserve.ai/docs/integration/message-brokers/rabbitmq/): Queue depth and consumer rates. ### Metrics - [Prometheus](https://openobserve.ai/docs/ingestion/metrics/prometheus/): Scrape or remote-write metrics straight in. - [Telegraf](https://openobserve.ai/docs/ingestion/metrics/telegraf/): Plugin-driven metrics from anywhere. ### Identity & Security - [Falco](https://openobserve.ai/blog/how-to-setup-falco-on-kubernetes/): Runtime security alerts via Falcosidekick. - [Google Workspace](https://openobserve.ai/blog/how-to-analyze-google-workspaces-audit-logs/): Audit logs for users, apps, and mail. - [Jumpcloud](https://openobserve.ai/blog/what-is-jumpcloud-and-how-to-monitor-with-openobserve/): Directory events and user activity logs. - [Microsoft 365](https://openobserve.ai/docs/integration/security/microsoft365/): Audit logs for users, apps, and mail. - [OSQuery](https://openobserve.ai/blog/osquery-daemon-and-shell/): Query hosts like a database; ship results as logs. - [Okta](https://openobserve.ai/blog/analyze-okta-events-for-better-security-and-observability/): Authentication and security event logs. - [OpenVPN](https://openobserve.ai/blog/openvpn-connect-logs-monitoring/): Connection and authentication logs. ## Infrastructure, Servers & DevOps ### CI/CD - [Ansible](https://openobserve.ai/docs/integration/devops/ansible/): Playbook runs and task results. - [GitHub Actions](https://openobserve.ai/docs/integration/devops/github-actions/): Workflow runs and per-job timing. - [Jenkins](https://openobserve.ai/docs/integration/devops/jenkins/): Build logs and pipeline duration. - [Terraform](https://openobserve.ai/docs/integration/devops/terraform/): Capture plan and apply output. ### Containers & Orchestration - [Kubernetes](https://openobserve.ai/docs/integration/system/k8s/): Cluster, node, and pod telemetry via OTel. ### Operating Systems - [Linux](https://openobserve.ai/docs/integration/system/linux/): System logs and host performance metrics. - [Windows](https://openobserve.ai/docs/integration/system/windows/): Event logs and performance counters. ### Web & App Servers - [IIS](https://openobserve.ai/blog/mastering-windows-iis-logging-a-comprehensive-beginners-guide/): Access logs, errors, and throughput. - [NGINX](https://openobserve.ai/docs/integration/servers/nginx/): Access logs, errors, and throughput. - [Oracle WebLogic](https://openobserve.ai/docs/integration/servers/weblogic/): JVM and application-server metrics. ## Databases ### Cloud Data Warehouses - [Snowflake](https://openobserve.ai/docs/integration/database/snowflake/): Warehouse cost and query history. ### Coordination & Analytics Engines - [Apache ZooKeeper](https://openobserve.ai/docs/integration/database/zookeeper/): Ensemble health and request latency. - [Databricks](https://openobserve.ai/blog/monitor-databricks/): Cluster, job, and Spark metrics. ### In-Memory Stores - [Redis](https://openobserve.ai/docs/integration/database/redis/): Hit rate, command latency, and memory. ### NoSQL Databases - [Aerospike](https://openobserve.ai/docs/integration/database/aerospike/): Namespace, node, and storage metrics. - [Amazon DynamoDB](https://openobserve.ai/blog/how-to-monitor-dynamodb-table/): Throttles, capacity, and latency. - [Cassandra](https://openobserve.ai/docs/integration/database/cassandra/): Read/write latency per node. - [MongoDB](https://openobserve.ai/docs/integration/database/mongodb/): Op counters, slow ops, and replica health. ### Relational Databases - [MySQL](https://openobserve.ai/docs/integration/database/mysql/): Query throughput and replication lag. - [Oracle Database](https://openobserve.ai/docs/integration/database/oracle/): Wait events and session metrics. - [PostgreSQL](https://openobserve.ai/docs/integration/database/postgresql/): Slow queries and connection-pool metrics. - [SQL Server](https://openobserve.ai/blog/monitor-sql-server-with-otel/): Query performance and wait statistics. ## Network - [Netflow](https://openobserve.ai/blog/analyzing-network-traffic-using-netflow/): Analyze network traffic using Netflow. - [SNMP](https://openobserve.ai/blog/snmp-monitoring-opentelemetry/): Modern observability for SNMP network monitoring. ## Guides - [Head-Based vs Tail-Based Sampling](https://openobserve.ai/blog/head-and-tail-based-sampling/): Head-based vs tail-based trace sampling — how each decides what to keep, and how to build a hybrid OpenTelemetry sampling strategy. - [Fixing Alert Fatigue](https://openobserve.ai/blog/alert-fatigue/): Reduce alert fatigue with SLO-based alerting — define SLIs, set error budgets, and configure burn-rate alerts that cut noise without missing real incidents. - [Migrate Dashboards to OpenObserve](https://openobserve.ai/blog/migrate-dashboards-datadog-grafana-kibana-cloudwatch-openobserve/): Free tool that converts Datadog, Grafana, Kibana, and CloudWatch dashboards — queries translated, layouts preserved, no signup. ## Complete Content Index Generated from the site sources at build time, so it stays complete as pages are added. Entries above may repeat here — this section is the exhaustive list. ### Blog Posts (299) #### Engineering (175) - [How Many Nines Do You Actually Need?](https://openobserve.ai/blog/how-many-nines-do-you-actually-need/): The cost curve of availability: what each nine allows in downtime, what it costs to build, and why most services should target fewer nines. - [ClickHouse vs OpenObserve for Logs, Metrics & Traces (2026)](https://openobserve.ai/blog/clickhouse-vs-openobserve/): ClickHouse and OpenObserve compared for observability: architecture, ingestion, RBAC and SSO, high availability, and cost at scale, for teams choosing what to… - [The Real Cost of Self-Hosting Observability on ClickHouse](https://openobserve.ai/blog/cost-of-self-hosting-observability-on-clickhouse/): ClickHouse's storage economics are genuinely excellent. Self-hosting a production observability platform on top of it isn't free, it's an engineering build… - [Grafana vs Datadog (2026): Features, Pricing & Which to Choose](https://openobserve.ai/blog/grafana-vs-datadog/): A side-by-side comparison of Grafana and Datadog on pricing and features, and where OpenObserve fits as a unified alternative to both. - [Kubernetes Troubleshooting: Why Incidents Still Take Too Long to Resolve](https://openobserve.ai/blog/kubernetes-troubleshooting-incidents-too-long/): Learn why Kubernetes incidents take too long to resolve and how to reduce MTTR through temporal and dimensional correlation of logs, metrics, traces, and… - [OpenTelemetry Context Propagation Explained: A W3C Trace Context Deep-Dive](https://openobserve.ai/blog/opentelemetry-context-propagation/): A practical deep-dive into OpenTelemetry context propagation: the W3C Trace Context spec, traceparent and tracestate header anatomy, baggage, propagators, and… - [OpenTelemetry GenAI Semantic Conventions: A Practical Guide](https://openobserve.ai/blog/opentelemetry-genai-semantic-conventions/): A practical, attribute-by-attribute guide to OpenTelemetry's GenAI semantic conventions: the gen_ai.* namespace for spans, metrics, and events, stability… - [What Is Observability? The Complete 2026 Guide](https://openobserve.ai/blog/what-is-observability/): What is observability, and how is it different from monitoring? A complete guide covering the three pillars (logs, metrics, traces), the properties that make a… - [Best Synthetic Monitoring Tools in 2026: Top 9 Compared](https://openobserve.ai/blog/best-synthetic-monitoring-tools/): A complete comparison of the best synthetic monitoring tools in 2026: HTTP, TCP, TLS, SSH, and browser checks, private location support, alerting, and pricing… - [Top 10 LLM Observability Tools in 2026: Complete Comparison](https://openobserve.ai/blog/top-10-llm-observability-tools/): A complete comparison of the top LLM observability tools in 2026, open source and commercial, covering tracing, evaluation, cost tracking, and unified… - [Synthetic Monitoring vs. RUM: What Is Synthetic Monitoring?](https://openobserve.ai/blog/synthetic-monitoring-vs-rum/): Synthetic monitoring runs scheduled checks from outside your systems; RUM captures what real visitors experience. Learn what synthetic monitoring is, how it… - [OpenTelemetry Semantic Conventions Explained: A Beginner's Guide](https://openobserve.ai/blog/opentelemetry-semantic-conventions/): What are OpenTelemetry semantic conventions, why do they exist, and how do you use them correctly? A beginner's guide to resource attributes, span attributes… - [Error Budgets Explained: When to Stop Shipping Features](https://openobserve.ai/blog/error-budgets-explained/): Error budgets explained: how they work, how to write an error budget policy, and what actually happens when the budget runs out. - [Langfuse vs LangSmith vs OpenObserve: LLM Observability Compared (2026)](https://openobserve.ai/blog/langfuse-vs-langsmith/): Langfuse vs LangSmith vs OpenObserve compared: tracing, evals, self-hosting, and pricing, plus when a unified platform beats a point tool. - [Top 10 Open Source APM Tools in 2026: Complete Comparison Guide](https://openobserve.ai/blog/opensource-apm-tools/): A comprehensive comparison of the top 10 open source APM tools in 2026: OpenObserve, Uptrace, Jaeger, Grafana Tempo, and Zipkin. Covers unified observability… - [How to Actually Set Meaningful SLOs (Most Teams Are Doing It Wrong)](https://openobserve.ai/blog/set-meaningful-slos/): Struggling with SLOs? Learn how to set meaningful Service Level Objectives that reflect real user impact. Avoid common mistakes, define better SLIs, and build… - [Top 10 APM Tools in 2026: Complete Comparison Guide](https://openobserve.ai/blog/top-10-apm-tools/): Compare the top 10 APM tools in 2026 — features, pricing, and use cases. OpenObserve delivers 60-90% cost savings with unified observability for logs, metrics… - [Top 10 Log Monitoring & Management Tools in 2026](https://openobserve.ai/blog/top-10-log-monitoring-tools-2025/): Best log monitoring and management tools for 2026, open source and commercial - plus when you need a SIEM and when log management is enough. - [Top 10 Open Source Observability Tools in 2026](https://openobserve.ai/blog/top-10-open-source-observability-tools/): Compare the top 10 open source observability tools in 2026: OpenObserve, Prometheus, Grafana, Jaeger, and Loki. Covers logs, metrics, traces, deployment… - [LLM Evals vs Observability: Why You Need Both](https://openobserve.ai/blog/llm-evals-vs-observability/): LLM evals score output quality; observability records system behavior. What each catches, what each misses alone, and how to score production traffic. - [OpenObserve vs SigNoz: Which Open Source Observability Platform Should You Choose? (2026)](https://openobserve.ai/blog/openobserve-vs-signoz/): OpenObserve vs SigNoz compared in detail: architecture (object storage vs ClickHouse), pricing, self-hosting overhead, RUM and session replay, query language… - [Prometheus vs OpenTelemetry: Which Do You Need?](https://openobserve.ai/blog/prometheus-vs-opentelemetry/): Prometheus vs OpenTelemetry: do they compete or complement? What each does, how they work together, and which your team needs. - [10 Best Datadog Competitors & Alternatives in 2026](https://openobserve.ai/blog/datadog-competitors/): Compare the top 10 Datadog competitors and alternatives in 2026: OpenObserve, Grafana, New Relic, Dynatrace, and Splunk. Pricing breakdowns, feature tables… - [Datadog Pricing in 2026: What It Really Costs (With Examples)](https://openobserve.ai/blog/datadog-pricing/): Datadog pricing explained: hosts, custom metrics, logs and the hidden costs. Real 2026 bill examples plus a free calculator to estimate yours. - [Observability vs. Monitoring: What's the Difference?](https://openobserve.ai/blog/observability-vs-monitoring/): Observability vs monitoring explained. Learn how they differ, what each costs, and why modern teams layer observability on top of monitoring. - [Tracing Made Easy: A Beginner's Guide to Jaeger v2](https://openobserve.ai/blog/tracing-made-easy-a-beginners-guide-to-jaeger-and-distributed-systems/): Jaeger v1 reached end-of-life on December 31, 2025, and Jaeger v2 rebuilt the project on the OpenTelemetry Collector: no more agent, no more Jaeger clients… - [What Is LLM Observability? The Complete 2026 Guide](https://openobserve.ai/blog/what-is-llm-observability/): LLM observability explained for engineers: what it is, why traditional APM misses LLM failures, the three layers (computational, semantic, agentic), the core… - [Our Alerts Are Noise: How Do We Actually Fix Alert Fatigue?](https://openobserve.ai/blog/alert-fatigue/): Struggling with alert fatigue? Learn how to reduce noisy alerts, improve signal quality, and build effective alerting strategies that actually help teams… - [7 Langfuse Alternatives for LLM Observability (2026)](https://openobserve.ai/blog/langfuse-alternatives/): Seven Langfuse alternatives compared for 2026: OpenObserve, LangSmith, Arize Phoenix, Comet Opik, Laminar, Braintrust, and Traceloop. Real licenses… - [LangSmith Alternatives: The Best Open Source Options (2026)](https://openobserve.ai/blog/langsmith-alternatives/): Seven LangSmith alternatives compared for 2026: OpenObserve, Langfuse, Comet Opik, Arize Phoenix, Laminar, MLflow, and Traceloop. Licenses audited from source… - [What is OpenTelemetry? A Complete Guide to the Observability Standard](https://openobserve.ai/blog/what-is-opentelemetry/): A complete OpenTelemetry overview: architecture, components, OTLP, and the Collector, plus what its 2026 CNCF graduation means. - [Head-Based vs. Tail-Based Sampling: Which Should You Use and When?](https://openobserve.ai/blog/head-and-tail-based-sampling/): Learn the difference between head-based and tail-based sampling in observability. Compare pros, cons, and use cases to choose the right strategy for tracing. - [OpenObserve vs ClickHouse: Which Is Better for Logs?](https://openobserve.ai/blog/openobserve-vs-clickhouse-benchmark/): OpenObserve returned a pod-level log search in 71 ms against ClickHouse's 989 ms on 1 billion rows, and 141 ms against 14.2 seconds when the cache was cold on… - [Prometheus Alternatives for Metrics at Scale (2026)](https://openobserve.ai/blog/prometheus-alternatives/): Compare the best Prometheus alternatives in 2026 for metrics at scale. See how OpenObserve, VictoriaMetrics, Thanos, Mimir, Cortex, and more handle high… - [We Built OpenObserve for Speed. Then We Fixed the UX.](https://openobserve.ai/blog/how-we-fixed-openobserve-ux/): We optimized OpenObserve for speed and cost and let the UI take a backseat. You told us. Here is what we changed, and why we are not done. - [Tracing a Runaway LLM Token Spike From Session to Trace to RUM](https://openobserve.ai/blog/tracing-a-runaway-llm-token-spike-from-session-to-trace-to-rum/): How an AI-governance engineer walks one anomalous LLM turn across three signals in OpenObserve — session, distributed trace, and RUM replay — to pin down cost… - [Observability Cost Optimization: 12 Tactics That Actually Work](https://openobserve.ai/blog/observability-cost-optimization-tactics/): Twelve config-level tactics for observability cost optimization, sampling, pipeline filtering, retention tiers, and cardinality control, with before/after… - [OpenObserve vs Langfuse: Unified Observability vs LLM-Specific Platform (2026)](https://openobserve.ai/blog/openobserve-vs-langfuse/): OpenObserve vs Langfuse in 2026: unified infra+LLM observability vs a dedicated LLM platform. Feature matrix, pricing, and when to use each (or both). - [Best Log Visualization Tools in 2026](https://openobserve.ai/blog/best-log-visualization-tools/): Compare the best log visualization tools in 2026: OpenObserve, Kibana, Grafana Loki, Datadog, and Splunk. Covers AI-assisted analysis, dashboard quality, and… - [Best Distributed Tracing Tools in 2026: A Complete Guide](https://openobserve.ai/blog/distributed-tracing-tool/): A practical guide to the best distributed tracing tools in 2026: OpenObserve, Jaeger, Grafana Tempo, Zipkin, and Honeycomb. Covers OTel compatibility… - [Top 10 Elasticsearch Alternatives in 2026: Complete Comparison Guide](https://openobserve.ai/blog/elasticsearch-alternatives/): Discover the best Elasticsearch alternatives in 2026. Compare OpenObserve, OpenSearch, ClickHouse, Grafana Loki, and Solr on cost, search performance, and… - [Best Open Source LLM Observability Tools in 2026: Complete Guide](https://openobserve.ai/blog/llm-observability-tools/): A comprehensive comparison of open source LLM observability tools in 2026: OpenObserve, Langfuse, Helicone, and Arize Phoenix. Covers prompt tracing, cost… - [Top Log Management Tools in 2026 (Compared & Reviewed)](https://openobserve.ai/blog/log-management-tools/): A practical comparison of the top log management tools in 2026: OpenObserve, Splunk, Datadog, Grafana Loki, and Elastic. Covers collection, indexing… - [Top 10 Microservices Monitoring Tools in 2026](https://openobserve.ai/blog/microservices-monitoring-tools/): A practical guide to the top 10 microservices monitoring tools in 2026: OpenObserve, Grafana LGTM, Datadog, Dynatrace, and Prometheus. Covers unified… - [Top 11 Splunk Alternatives in 2026: Complete Comparison Guide](https://openobserve.ai/blog/splunk-alternatives/): Discover the best Splunk alternatives in 2026. Compare open-source and enterprise tools for log management, SIEM, and observability. Find cost-effective… - [15 Essential SRE Tools in 2026: Monitoring, Alerting, Tracing & Incident Response](https://openobserve.ai/blog/sre-tools/): A practical guide to 15 essential SRE tools in 2026: OpenObserve, Datadog, PagerDuty, Prometheus, Jaeger, and LitmusChaos. Covers unified observability… - [Top 10 Lightstep Alternatives in 2026: Complete Comparison Guide](https://openobserve.ai/blog/top-10-lightstep-alternatives/): Compare the best Lightstep alternatives following the March 2026 EOL. Covers OpenObserve, Jaeger, Grafana Tempo, Honeycomb, and Datadog APM with OpenTelemetry… - [Top 10 Observability Platforms in 2026: A Practical Comparison for Modern Teams](https://openobserve.ai/blog/top-10-observability-platforms/): A comprehensive comparison of the top 10 observability platforms in 2026 highlighting their strengths, trade-offs, and use-cases. - [Top Observability Tools & Platforms in 2026: The Complete Guide](https://openobserve.ai/blog/top-10-observability-tools/): Explore the top observability tools and platforms in 2026. Compare features, use cases, and alternatives to Datadog for logs, metrics, and traces in this… - [Top 10 Open Source Monitoring Tools in 2026: Why They Matter + What to Choose](https://openobserve.ai/blog/top-10-open-source-monitoring-tools/): Top 10 open source monitoring tools explained. Learn what they are, why they matter, and how to choose to get the most from your observability strategy. - [Top 10 AIOps Platforms in 2026: AI-Powered Observability Tools Compared](https://openobserve.ai/blog/top-10-aiops-platforms/): Compare the top 10 AIOps platforms in 2026 — features, pricing, and use cases for autonomous operations, alert correlation, root cause analysis, and… - [Top 10 Datadog Alternatives in 2026: Complete Comparison Guide](https://openobserve.ai/blog/top-10-datadog-alternative-tools/): Compare the best Datadog alternatives in 2026 with real cost data, technical analysis, and migration guides. OpenObserve delivers 60-90% cost savings with… - [Top 10 Dynatrace Alternatives in 2026: Complete Comparison Guide](https://openobserve.ai/blog/top-10-dynatrace-alternatives/): Looking for a Dynatrace alternative? Whether you're frustrated by DDU pricing complexity, vendor lock-in, or the steep learning curve, this guide covers the 10… - [Top 10 Grafana Alternatives in 2026: Complete Comparison Guide](https://openobserve.ai/blog/top-10-grafana-alternatives/): Discover the top open-source Grafana alternatives in 2026. Compare features like dashboards, alerting, metrics, logs, traces, scalability, and ease of use for… - [Top 10 Kubernetes Monitoring Tools in 2026: Complete Guide](https://openobserve.ai/blog/top-10-k8s-monitoring-tools/): Compare the top 10 Kubernetes monitoring tools in 2026, including OpenObserve, Prometheus, Datadog, and more. Features, cost, and use cases for DevOps and SRE… - [Top 10 New Relic Alternatives in 2026: Complete Comparison Guide](https://openobserve.ai/blog/top-10-new-relic-alternatives/): Explore top New Relic alternatives that offer better pricing, open-source flexibility, and full-stack observability for modern DevOps and SRE teams. - [AI-First, For Real: How We Turned Engineering Bottlenecks Into Agents at OpenObserve](https://openobserve.ai/blog/ai-first-at-openobserve/): "AI-first" is easy to say and hard to prove. At OpenObserve we ship two AI features to users - O2 Assistant and the AI SRE - and run our own engineering shop… - [Best Log Analysis Tools in 2026: Complete Guide](https://openobserve.ai/blog/best-log-analysis-tools/): A comprehensive comparison of the best log analysis tools in 2026, covering search, pattern detection, anomaly detection, and pipeline capabilities for… - [MCP Server Observability: How to Trace, Monitor, and Debug Model Context Protocol Servers](https://openobserve.ai/blog/mcp-server-observability/): A producer-side guide to instrumenting your own MCP server with OpenTelemetry: tracing tools/call, propagating context via _meta, and deriving RED metrics. - [Microservices Monitoring: The Complete Guide to Why OpenObserve Is the Best Tool in 2026](https://openobserve.ai/blog/microservices-monitoring/): Learn what microservices monitoring is, the 3 pillars of observability, and why OpenObserve is the best open-source tool for monitoring microservices in 2026… - [OpenObserve vs Elasticsearch: Performance Benchmarking at 1.1 TB Scale](https://openobserve.ai/blog/elasticsearch-openobserve-benchmarking/): We streamed 1.1 TB of Kubernetes-format log data to both Elasticsearch and OpenObserve simultaneously on identical AWS hardware. A detailed performance… - [How We Cut a Query From 49 Seconds to 2 Seconds in OpenObserve — A 25× Win From Two Config Changes](https://openobserve.ai/blog/openobserve-tantivy-49s-to-2s/): Same ~2TB of data, same count query, same querier config — two parameter changes took a Tantivy query from 49 seconds to 2 seconds. Learn how raising compact… - [Why My 3AM Debug Session Takes 2 Hours: Fixing the Logs-Traces-Metrics Correlation Gap](https://openobserve.ai/blog/logs-traces-metrics-correlation/): Stop tab-switching at 3AM. Wire trace_id into logs and exemplars into metrics so you can pivot from alert to root cause in seconds, not hours. - [How to Monitor Kubernetes Logs at Scale](https://openobserve.ai/blog/monitor-kubernetes-logs-at-scale/): A working pipeline for monitoring Kubernetes logs at scale: the openobserve-collector Helm chart for the fast path, or Fluent Bit + OpenTelemetry Collector for… - [How to Replace Elasticsearch for Log Management](https://openobserve.ai/blog/replace-elasticsearch-log-management/): Elasticsearch was built for search, not logs. Learn how to migrate your ELK log pipeline to OpenObserve using OTel Collector or Fluent Bit. - [The On-Call Runbook Template That Actually Helps at 3AM](https://openobserve.ai/blog/on-call-runbook-template-sre/): A practical on-call runbook template built for SREs and on-call engineers. Includes a 5-phase response framework, first-5-minutes checklist, and AI-assisted… - [How to Monitor AI Agents in Production](https://openobserve.ai/blog/monitor-ai-agents-production/): How to make AI agents observable in production: OTel instrumentation, telemetry backends, cost tracking, and trace analysis. - [n8n Monitoring with OpenTelemetry and OpenObserve](https://openobserve.ai/blog/n8n-monitoring-opentelemetry/): How to monitor n8n workflows with Prometheus metrics and OpenTelemetry tracing using OpenObserve. Covers self-hosted n8n and instrumenting services that call… - [What Backends Support OpenTelemetry (OTLP)? A Complete Guide](https://openobserve.ai/blog/opentelemetry-backends-otlp-support/): A comprehensive list and comparison of observability backends that support OpenTelemetry and OTLP, covering open-source, commercial, and cloud-native options. - [MCP Servers for Observability: Connect AI Assistants to Logs, Metrics, and Traces](https://openobserve.ai/blog/mcp-servers-observability-guide/): Learn what MCP servers are available for observability and how to connect AI assistants to logs, metrics, and traces. Includes platform comparison, real use… - [OpenObserve: The Best Open Source Datadog Alternative in 2026](https://openobserve.ai/blog/opensource-datadog-alternative/): Datadog bills surprising you? OpenObserve is a free, open source observability platform replacing Datadog for logs, metrics, traces, dashboards, alerts, and… - [I Set Up OpenTelemetry. Now My Bill Is 10x Higher. What Happened?](https://openobserve.ai/blog/opentelemetry-cost-reduction/): OpenTelemetry is free, but your observability backend is not. Learn practical strategies for observability cost reduction using sampling, filtering, retention… - [OpenTelemetry for LLMs: What It Is and Why Your SRE Team Needs It Now](https://openobserve.ai/blog/opentelemetry-for-llms/): Learn how OpenTelemetry's GenAI Semantic Conventions bring production-grade observability to LLM workloads. A complete guide for DevOps and SRE teams covering… - [LLM Monitoring Best Practices: The Complete Guide for 2026](https://openobserve.ai/blog/llm-monitoring-best-practices/): Discover the essential LLM monitoring best practices to ensure reliability, safety, and performance in production. Learn how to track hallucinations, latency… - [MCP Gateway: What It Is, Top Options, and How OpenObserve Fits Into Your MCP Stack](https://openobserve.ai/blog/mcp-gateway-guide/): What is an MCP gateway? Compare top options and learn how OpenObserve's native MCP server plugs into your AI agent stack for live observability data access. - [AI Anomaly Detection: Catch Issues Traditional Alerts Miss](https://openobserve.ai/blog/ai-anomaly-detection-guide/): Complete guide to AI anomaly detection in observability. Discover how machine learning algorithms detect unusual patterns, handle seasonality, and catch issues… - [Catch Anomalies Before They Become Incidents: Inside OpenObserve's Built-In Detection Engine](https://openobserve.ai/blog/anomaly-detection/): Explore how OpenObserve detects anomalies in logs, metrics, and traces to help SREs identify issues early and take action before incidents escalate. - [Structured Logging in Production: The Field Guide Nobody Gave You](https://openobserve.ai/blog/structured-logging-best-practices/): Learn how to implement structured logging in production. Improve debugging, searchability, and observability with best practices and real-world examples. - [AI Incident Management: How AI Reduces MTTR and Automates Root Cause Analysis](https://openobserve.ai/blog/ai-incident-management-reduce-mttr/): Discover how AI incident management transforms production operations by reducing MTTR by 90%, automating root cause analysis, and cutting alert noise by 80%… - [Mean Time to Resolution (MTTR): How to Measure It and Cut It with AI-Powered Observability](https://openobserve.ai/blog/mean-time-to-resolution-mttr-guide/): Learn how to measure and dramatically reduce Mean Time to Resolution (MTTR) using AI-powered observability. Discover the four phases that inflate MTTR and how… - [What Is AIOps? The Complete Guide to AI-Powered IT Operations in 2026](https://openobserve.ai/blog/what-is-aiops-complete-guide/): Discover how AIOps transforms IT operations with AI-powered anomaly detection, event correlation, and automated remediation. Learn the core capabilities, use… - [How We Built XDrain in Rust and Why It Made Log Pattern Detection Actually Fast](https://openobserve.ai/blog/log-patttern-xdrain-rust/): We rewrote the XDrain log pattern extraction algorithm in Rust, achieving 40x performance improvements over Python. Learn how we used prefix trees, systematic… - [The Prometheus Cardinality Bomb: How to Prevent It Before It Blows Up](https://openobserve.ai/blog/prometheus-data-cardinality/): Learn what the Prometheus cardinality bomb is, why high-cardinality metrics break your monitoring, and how to detect, prevent, and fix it effectively. - [Full Stack Observability: The Complete Guide](https://openobserve.ai/blog/full-stack-observability/): A complete guide to full stack observability - covering frontend, backend, infrastructure, traces, logs, metrics, and OpenTelemetry for DevOps and SRE teams. - [DataDog vs OpenObserve Part 6: Real User Monitoring - Session Replay, SQL Analytics, Core Web Vitals](https://openobserve.ai/blog/datadog-vs-openobserve-rum/): Looking for a DataDog alternative for Real User Monitoring? Compare OpenObserve vs DataDog for RUM capabilities: session replay with privacy masking, Core Web… - [Incident Correlation: The Complete Guide to Faster Root Cause Analysis](https://openobserve.ai/blog/incident-correlation/): Learn how incident correlation transforms observability by connecting logs, metrics, traces, and alerts into actionable insights. Discover why modern… - [From 380 to 700+ Tests: How We Built an Autonomous QA Team with Claude Code](https://openobserve.ai/blog/autonomous-qa-testing-ai-agents-claude-code/): Discover how OpenObserve built the "Council of Sub Agents" - eight specialized AI agents powered by Claude Code that automate end-to-end testing. Learn how we… - [DataDog vs OpenObserve Part 7: Pipelines - Datadog Alternative in 2026](https://openobserve.ai/blog/datadog-vs-openobserve-part-7-pipelines/): Hands-on comparison of DataDog vs OpenObserve pipelines. Explore real-time vs scheduled processing, VRL-based transformations, multi-destination routing, and… - [DataDog vs OpenObserve Part 9: Cost - Datadog Alternative in 2026](https://openobserve.ai/blog/datadog-vs-openobserve-part-9-cost/): Does cheaper observability mean worse capabilities? We tested this assumption by sending identical telemetry from a 16-service OpenTelemetry demo to both… - [DataDog vs OpenObserve Part 8: IAM, Multi-Tenancy, and Team Collaboration](https://openobserve.ai/blog/datadog-vs-openobserve-iam-rbac/): Open source DataDog alternative IAM: SSO, RBAC, multi-tenancy included. Action-based permissions across 28+ modules. Compare $0.50/GB vs per-host pricing. - [DataDog vs OpenObserve: Part 5 - Alerts, Monitors, and Destinations](https://openobserve.ai/blog/datadog-vs-openobserve-part-5-alerts/): Hands-on comparison of DataDog and OpenObserve for alerting and monitoring. DataDog's proprietary monitor syntax and per-custom-metric charges vs OpenObserve's… - [DataDog vs OpenObserve Part 4: Dashboards - Prebuilt, Drag & Drop, Custom Visualizations, Up to 98% Cost Savings](https://openobserve.ai/blog/datadog-vs-openobserve-part-4-dashboards/): Hands-on comparison of DataDog and OpenObserve for dashboard visualizations. DataDog's proprietary query syntax and premium tiers vs OpenObserve's SQL/PromQL… - [Introducing the OpenObserve Kubernetes Operator: Observability as Code](https://openobserve.ai/blog/openobserve-kubernetes-operator-observability-as-code/): OpenObserve Kubernetes Operator brings observability as code to platform teams. Manage alerts, pipelines, and functions as Kubernetes resources with GitOps… - [Introducing Log Patterns in OpenObserve: Automatic Pattern Extraction for Faster Log Analysis](https://openobserve.ai/blog/log-patterns-automatic-pattern-extraction-faster-analysis/): Automatically extract patterns from millions of logs in seconds. Learn how OpenObserve's log pattern analysis helps SREs reduce incident investigation time… - [DataDog vs OpenObserve Part 3: Traces & APM Comparison](https://openobserve.ai/blog/datadog-vs-openobserve-part-3-traces-apm/): DataDog vs OpenObserve APM comparison: $120/day LLM charge, SQL trace dashboards, OTel native, service dependency mapping, and 60-90% cost savings with real… - [DataDog vs OpenObserve Part 2: Metrics Comparison](https://openobserve.ai/blog/datadog-vs-openobserve-part-2-metrics/): DataDog vs OpenObserve metrics comparison: PromQL support, high-cardinality handling, custom metrics auto-generation, and 60-90% cost savings with real data. - [DataDog vs OpenObserve Part 1: Logs Comparison](https://openobserve.ai/blog/datadog-vs-openobserve-log-management/): Real-world comparison of DataDog and OpenObserve for log management. SQL queries, automatic field discovery, and 90% cost savings. Tested with OpenTelemetry. - [RED Metrics: Monitoring Requests, Errors, and Latency for Microservices](https://openobserve.ai/blog/red-metrics-monitoring/): Learn how to use RED Metrics: Requests, Errors, Duration to monitor microservices effectively. Explore dashboards, SLOs, alerts, and OpenObserve examples for… - [Building Modern Observability: Why Rust Powers the Next Generation of Monitoring Platforms](https://openobserve.ai/blog/rust-observability-platform/): Traditional monitoring tools fail when you need them most. Learn how Rust-powered observability platforms solve memory safety issues and deliver reliable… - [Prometheus Alertmanager VS OpenObserve’s In-Built Alerting : Unified Alerting and Observability](https://openobserve.ai/blog/prometheus-alertmanager-vs-openobserve/): Simplify Prometheus Alertmanager setups with OpenObserve -unified alerts for metrics, logs, and traces, no YAML required. - [Faster MTTD and MTTR with OpenObserve: From Alert Fatigue to Intelligent Incidents](https://openobserve.ai/blog/reduce-mttd-mttr-openobserve-alert-correlation/): Learn how OpenObserve reduces Mean Time to Detect and Mean Time to Resolve through intelligent alert correlation, deduplication, and automated incident… - [Prometheus Metric Types (Counters, Gauges, Histograms, Summaries)](https://openobserve.ai/blog/prometheus-metrics-types/): A clear, developer-focused guide to Prometheus metric types, when to use each one, and how OpenObserve enhances Prometheus by solving retention, scalability… - [Full-Stack Observability: How Logs, Metrics, and Traces Work Better Together](https://openobserve.ai/blog/full-stack-observability-logs-metrics-traces/): Discover how full-stack observability helps teams correlate telemetry across systems to cut MTTR, reduce data costs, and improve performance. - [Cloud Monitoring for AWS, Azure, and GCP with OpenObserve](https://openobserve.ai/blog/cloud-monitoring-aws-azure-gcp/): Discover how to monitor cloud resources effectively. Use OpenObserve to analyze logs, metrics, and traces for better visibility, alerts, and performance. - [Scaling Observability for Peak Traffic: A Practical Guide to Building Resilient Observability Systems](https://openobserve.ai/blog/scaling-observability-peak-traffic/): Learn how to scale observability systems to handle Black Friday-level traffic without losing visibility. Discover best practices for ingestion tuning, query… - [NVIDIA GPU Monitoring with DCGM Exporter and OpenObserve: Complete Setup Guide](https://openobserve.ai/blog/how-to-monitor-nvidia-gpu/): Monitor NVIDIA H100, H200, and A100 GPUs with DCGM Exporter and OpenObserve. Complete setup guide with dashboards, alerts, and 89% cost savings vs traditional… - [Auto-Instrumenting Microservices: A Practical Demo with OpenTelemetry and OpenObserve](https://openobserve.ai/blog/how-to-auto-instrument-distributed-services/): Learn how to add complete observability to your microservices for distributed tracing without changing a single line of code. This hands-on demo shows… - [OpenTelemetry Astronomy Shop Demo App with OpenObserve Integration](https://openobserve.ai/blog/opentelemetry-astronomy-shop-demo/): Deploy the OpenTelemetry Astronomy Shop demo and stream traces, metrics, and logs to OpenObserve with Helm. Easily configure OTLP and visualize everything in… - [How to Build Metrics Dashboards for SRE & DevOps Teams](https://openobserve.ai/blog/metrics-dashboards-for-sre-devops/): Build SRE/DevOps metrics dashboards fast. Docker, Jenkins, Kubernetes, GitHub, Argo CD, Prometheus, Hosts: what to track, why, and importable JSON. - [Prometheus Metrics Count Basics: A Beginner's Complete Guide](https://openobserve.ai/blog/prometheus-metrics-count-basics/): Learn how Prometheus metrics counts unique label values using basic queries and methods like `count(count by (label) (metric))`. - [Observability Dashboards: What to Show and How to Build Them](https://openobserve.ai/blog/observability-dashboards/): A practical guide to observability dashboards: what to track, how to design panels, and how to build them with examples for logs, metrics, and traces. - [Enterprise Observability Strategy: Scale, Cost & Reliability](https://openobserve.ai/blog/enterprise-observability-strategy-insights/): Learn how to design an enterprise observability strategy built on efficient logging, cost control, and unified insights to scale with complex systems. - [Frontend Monitoring Basics: How to Track Performance, Errors, and User Experience](https://openobserve.ai/blog/frontend-monitoring-basics/): Learn frontend monitoring basics: RUM, performance metrics, error logging, and SEO impact. See how OpenObserve unifies monitoring in one platform. - [Complete Guide to Retool Enterprise Error Monitoring and Observability](https://openobserve.ai/blog/monitoring-retool-errors/): Learn how to implement enterprise-grade error monitoring and observability for Retool applications. Compare native monitoring vs OpenObserve, setup workflows… - [Introduction: The Critical Need for Fortinet Monitoring](https://openobserve.ai/blog/monitoring-fortinet-with-openobserve/): Learn how to monitor Fortinet firewalls using OpenObserve. Step-by-step guide for syslog setup, log transformation, and creating dashboards for real-time… - [Token Exchange & OpenObserve Service accounts](https://openobserve.ai/blog/token-exchange-and-service-accounts/): Discover OpenObserve’s Service Accounts feature, designed for secure programmatic access to APIs. Learn how token exchange enhances security and simplifies… - [Monitoring Java GC Logs: Enhance Application Performance with OpenObserve](https://openobserve.ai/blog/java-gc-logs-monitoring-with-openobserve/): Learn how to leverage Java GC logs to diagnose memory issues, optimize application performance, and prevent production outages. This guide explains how to… - [What is SNMP Monitoring? OpenTelemetry and OpenObserve Guide](https://openobserve.ai/blog/snmp-monitoring-opentelemetry/): Learn how to implement effective SNMP monitoring using OpenTelemetry and OpenObserve. Monitor network devices, servers, and infrastructure with real-time… - [Complete Linux Monitoring with OpenObserve: Event Logs, Host Metrics, and More](https://openobserve.ai/blog/linux-monitoring-openobserve/): Monitor Linux systems with OpenObserve. Learn how to collect and analyze system logs, metrics, and security events for improved system visibility… - [Complete Windows Monitoring with OpenObserve: Event Logs, Metrics and More](https://openobserve.ai/blog/windows-monitoring-openobserve/): Set up comprehensive Windows monitoring with OpenObserve. Collect, analyze, and visualize event logs, performance metrics, and security events for enhanced… - [Monitoring GitHub Metrics in Real-Time with OpenTelemetry and OpenObserve](https://openobserve.ai/blog/github-monitoring-with-otel/): Learn how to set up real-time GitHub metrics monitoring using OpenTelemetry Collector and OpenObserve. This step-by-step guide covers installation… - [Docker Container Monitoring with OpenTelemetry and OpenObserve](https://openobserve.ai/blog/monitor-docker-metrics-otel/): Learn how to monitor Docker container metrics using OpenTelemetry and OpenObserve. Collect CPU, memory, network, and disk metrics without modifying your… - [Understanding OpenObserve Pipelines: Real-Time Processing, Routing, and Pre-Aggregation](https://openobserve.ai/blog/how-to-setup-pipelines-in-openobserve/): Discover how OpenObserve Pipelines enable real-time log processing, dynamic data routing, and pre-aggregation for optimized observability. Learn to transform… - [Distributed Tracing in .NET Applications using OpenTelemetry](https://openobserve.ai/blog/distributed-tracing-in-dotnet-application/): Learn how to implement distributed tracing in your .NET applications using OpenTelemetry. This guide covers the benefits of distributed tracing, how to get… - [Implementing OpenTelemetry Logging in .NET Applications with OpenObserve](https://openobserve.ai/blog/opentelemetry-logging-in-dotnet-applications/): Learn how to implement OpenTelemetry logging in .NET applications using OpenObserve. Step-by-step guide to configure, collect, and analyze logs. - [Distributed Tracing in Go Applications with OpenTelemetry and OpenObserve](https://openobserve.ai/blog/monitoring-go-with-opentelemetry/): Learn how to implement distributed tracing in Go applications using OpenTelemetry. This comprehensive guide covers auto and manual instrumentation, correlating… - [Distributed Tracing in Node.js Applications with OpenTelemetry](https://openobserve.ai/blog/distributed-tracing-in-nodejs-with-opentelemetry/): Learn how to implement distributed tracing in your Node.js applications using OpenTelemetry. Complete guide covering auto & manual instrumentation, trace… - [LLM Observability for AI Applications with OpenObserve and OpenLIT](https://openobserve.ai/blog/observability-for-ai-applications-using-openobserve-and-openlit/): Discover how to integrate OpenObserve and OpenLIT for comprehensive LLM observability, enabling real-time monitoring, tracing, and optimization of AI… - [AWS Cost and Usage Reports (CUR): A Complete Guide to Cloud Cost Visibility and Optimization](https://openobserve.ai/blog/aws-cost-usage-report-analysis-optimization/): Learn how to generate AWS Cost and Usage Reports (CUR), store them in S3, configure event-driven processing with Lambda, and analyze cost data efficiently… - [Monitoring AWS Cognito Logs with OpenObserve: From Raw Data to Real Insights](https://openobserve.ai/blog/monitor-aws-cognito-logs-firehose-eventbridge-lambda/): Monitor AWS Cognito authentication events in real-time using OpenObserve. Learn to capture, enrich, and visualize raw logs for actionable security insights… - [AWS Network Firewall Explained: Setup and Log Analysis Made Easy](https://openobserve.ai/blog/how-to-analyze-aws-network-firewall-logs/): Learn how to secure your AWS environment with AWS Network Firewall. This comprehensive guide covers setup, configuring rules, controlling traffic, and log… - [Simplifying Kubernetes Monitoring with OpenTelemetry and OpenObserve](https://openobserve.ai/blog/monitoring-kubernetes-with-opentelemetry/): Discover how Opentelemetry & OpenObserve simplifies Kubernetes monitoring. Enhance visibility, performance, and troubleshooting for your Kubernetes Enviornment. - [Falco Security: Your Ultimate Tool for Securing Kubernetes Clusters](https://openobserve.ai/blog/how-to-setup-falco-on-kubernetes/): Discover how Falco Container Security enhances Kubernetes cluster protection by detecting threats in real time. Learn its features, setup process, and how to… - [Uptime Monitoring Made Easy: SSL and URL Checks with OpenTelemetry](https://openobserve.ai/blog/how-to-monitor-uptiming-of-urls/): Learn how to ensure reliable uptime monitoring with SSL and URL checks. Discover the importance of proactive monitoring, set up OpenTelemetry Collector's HTTP… - [Monitor Your PostgreSQL Performance via OpenTelemetry Collector](https://openobserve.ai/blog/how-to-monitor-postgresql-performance/): Monitor PostgreSQL like a pro! Use OpenTelemetry and Openobserve for clear insights into performance metrics. Begin your journey to better monitoring today! - [Unlocking Insights from AWS Route 53 Logs: A Complete Guide](https://openobserve.ai/blog/configure-route53-query-logging/): Learn how to enable AWS Route 53 query logging, transform logs with VRL, and build dashboards for actionable insights. Unlock DNS traffic analysis and optimize… - [Unveiling Microsoft 365 Insights: From Diagnostics to Actionable Observability](https://openobserve.ai/blog/how-to-monitor-o365-logs/): Discover how to effectively monitor Microsoft 365 logs, including AuditLogs, SignInLogs, Non-Interactive User SignInLogs, RiskyUsers, UserRiskEvents… - [OpenVPN Connect Logs: Streamlining Ingestion with AWS and Building Security Dashboards](https://openobserve.ai/blog/openvpn-connect-logs-monitoring/): Learn how to automate OpenVPN Connect or OpenVPN Client log ingestion into OpenObserve using AWS services like S3, SNS, and Lambda. Build scalable pipelines… - [Exploring osquery Daemon and Shell on Linux for Logging and Observability](https://openobserve.ai/blog/osquery-daemon-and-shell/): Learn how to use osquery daemon and shell on Linux for logging and observability. Discover how osquery works, its configuration, and how to analyze logs for… - [A Complete Guide on How to Stream and Analyze AWS CloudWatch Logs Using Amazon Kinesis Firehose](https://openobserve.ai/blog/how-to-send-aws-cloudwatch-logs-to-kinesis-firehose/): Learn how to send AWS CloudWatch Logs to Amazon Kinesis Firehose with this step-by-step guide. Discover real-time log streaming, analysis techniques, and… - [Beginner’s Guide: How to Send AWS CloudWatch Logs to S3 via Kinesis Firehose](https://openobserve.ai/blog/how-to-send-aws-cloudwatch-logs-to-s3-using-kinesis-data-firehose/): Learn how to send AWS CloudWatch logs to S3 using Kinesis Firehose in this beginner-friendly guide. Step-by-step instructions for seamless log streaming and… - [Understanding JSON Logging and Analysis](https://openobserve.ai/blog/json-logging-guide-examples/): Explore JSON logging, a structured, searchable log format that offers machine and human readability, and fosters true observability. - [What is JumpCloud and How JumpCloud Directory Insights Help Customize Security Reports for Advanced Monitoring](https://openobserve.ai/blog/what-is-jumpcloud-and-how-to-monitor-with-openobserve/): Learn what JumpCloud is and how JumpCloud Directory Insights helps customize security reports. Discover how to forward JumpCloud logs to AWS S3 and use AWS… - [Monitor AWS EC2 Logs and Metrics with OpenTelemetry](https://openobserve.ai/blog/monitor-aws-ec2-logs-metrics-opentelemetry/): Learn how to monitor AWS EC2 logs and metrics using OpenTelemetry. Set up real-time and continuous monitoring for performance, security, and compliance. - [A Comprehensive Guide to Distributed Tracing: From Basics to Beyond](https://openobserve.ai/blog/distributed-tracing-basics-to-beyond-guide/): Discover the essentials of distributed tracing, from core concepts to implementation. Learn how to visualize and analyze trace data, pinpoint bottlenecks, and… - [Error Handling With Opentelemetry Python SDK: A Step-by-Step Guide](https://openobserve.ai/blog/handling-errors-with-opentelemetry-python/): Enhance your understanding of error handling in Python with OpenTelemetry. This detailed guide offers step-by-step instructions to use Global Error Handler in… - [Enhancing Kubernetes Metrics Collection With Opentelemetry and Prometheus](https://openobserve.ai/blog/kubernetes-monitoring-with-opentelemetry-prometheus/): Enhance your Kubernetes observability using OpenTelemetry and Prometheus. TargetAllocator optimizes target discovery, ensuring reliable monitoring in dynamic… - [Mastering Windows IIS Logging: A Comprehensive Beginner's Guide](https://openobserve.ai/blog/mastering-windows-iis-logging-a-comprehensive-beginners-guide/): Learn everything about Windows IIS logging, from setup and configuration to log collection and parsing. Enhance your understanding and improve your IIS log… - [What You Need to Know About Prometheus Metrics: Architecture, Collection, and Optimization for Scalable Observability](https://openobserve.ai/blog/what-you-need-to-know-about-prometheus-architecture/): Discover everything you need to know about Prometheus metrics, from its architecture and setting up efficient metrics collection to optimizing and visualizing… - [Efficient Kubernetes Log Streaming: Real-time Insights for DevOps](https://openobserve.ai/blog/efficient-kubernetes-log-streaming/): Unlock real-time insights for DevOps with efficient Kubernetes log streaming. Discover how to streamline logging and enhance observability for optimized… - [Supercharge Your User Experience: Real User Monitoring (RUM) and Frontend Performance Metrics](https://openobserve.ai/blog/real-user-monitoring-and-frontend-performance/): Explore the importance of Real User Monitoring (RUM) and learn how OpenObserve enhances RUM with powerful observability features. This guide walks you through… - [Microservices Observability: Leveraging Logs, Metrics, and Traces for Enhanced System Performance](https://openobserve.ai/blog/microservices-observability-logs-metrics-traces/): Discover how to implement effective microservices observability using logs, metrics, and traces. Learn key strategies to improve system performance… - [Nginx Log Management: From Data Collection to Insightful Analysis](https://openobserve.ai/blog/nginx-log-management-from-data-collection-to-insightful-analysis/): This blog guides you through effective Nginx log management and analysis using OpenObserve and Vector, providing insights on enhancing observability and… - [Choosing the Right SaaS Monitoring Solution: Features, Best Practices, and ROI](https://openobserve.ai/blog/saas-monitoring-tools-features-best-practices-roi/): Discover how to choose the best SaaS monitoring solution for your organization. Learn key features, best practices, and ROI considerations in this… - [Building Monitoring Dashboards with OpenObserve [Tutorial]](https://openobserve.ai/blog/monitoring-dashboards-with-openobserve/): Learn how to create effective monitoring dashboards with OpenObserve. This guide covers installation, sample data setup, and dashboard creation, highlighting… - [From Elasticsearch (ELK) to OpenObserve Streamlining Log Management](https://openobserve.ai/blog/from-elasticsearch-to-openobserve-streaming-log-management/): This blog helps you in getting started with understanding migration from ELK to OpenObserve Streamlining Log Management for Better Insights. - [Journald.conf configuration](https://openobserve.ai/blog/journald-conf/): How to configure journald.conf to customize journald logging in Linux - [Journald vs Syslog](https://openobserve.ai/blog/journald-vs-syslog/): journald and syslog are two popular logging systems used in Linux environments. While they share some similarities, they have distinct differences in their… - [What is Journald and how to do centralized journald logging](https://openobserve.ai/blog/what-is-journald-and-how-to-do-centralized-journald-logging/): What is Journald, what is it's log file location, how to do log rotation for it. Also learn how OpenObserve uses otel-collector to provide centralized logging… - [Understanding OpenTelemetry Logging](https://openobserve.ai/blog/understanding-opentelemetry-logs/): This blog explores how OpenTelemetry streamlines log collection and management for modern applications. Learn how to integrate OpenTelemetry, auto-instrument… - [Monitoring Your FastAPI Application with OpenTelemetry and OpenObserve](https://openobserve.ai/blog/monitoring-fastapi-application-using-opentelemetry-and-openobserve/): This blog helps you in getting started with monitoring FastAPI python application with OpenTelemetry and OpenObserve. - [The SSO (Single Sign On) Tax - Understanding the Controversy](https://openobserve.ai/blog/sso-tax/): The SSO (Single Sign On) Tax - What it is, why it is controversial - [OpenObserve Vs Grafana](https://openobserve.ai/blog/openobserve-vs-grafana/): What are the differences between OpenObserve and grafana - [Sending Pino Logs to OpenObserve: A Step-by-Step Guide](https://openobserve.ai/blog/sending-pino-logs-to-openobserve/): Learn how to send Pino logs to OpenObserve using the @openobserve/pino-openobserve npm library. This comprehensive guide provides step-by-step instructions… - [What is netflow and how to use it to analyze network traffic](https://openobserve.ai/blog/analyzing-network-traffic-using-netflow/): Netflow is a network protocol that allows you to analyze network traffic. Learn how to use it to analyze network traffic. - [What are Apache, GPL and AGPL licenses and why OpenObserve moved from Apache to AGPL](https://openobserve.ai/blog/what-are-apache-gpl-and-agpl-licenses-and-why-openobserve-moved-from-apache-to-agpl/): What are Apache, GPL and AGPL licenses and why OpenObserve moved from Apache to AGPL - [Why Apache ECharts Won Over Plotly in Our Tech Stack](https://openobserve.ai/blog/why-apache-echarts-won-over-plotly-in-our-tech-stack/): We delves into our strategic shift from using Plotly to adopting Apache ECharts for our data visualization needs. It explores the reasons behind this decision… - [OpenObserve deployment on Kubernetes](https://openobserve.ai/blog/openobserve-on-azure-aks/): Standup AI team describes how to setup OpenObserve on Azure AKS with postgres as metastore. - [Jidu's Journey to 100% Tracing Fidelity with OpenObserve. A Case Study](https://openobserve.ai/blog/jidu-journey-to-100-tracing-fidelity/): Jidu acheived 100% tracing fidelity with OpenObserve by migrating from Elasticsearch to OpenObserve. Read this case study to learn how they did it. - [Filter logs at source in otel collector](https://openobserve.ai/blog/filter-logs-at-source-in-otel-collector/): There are times when you would like to filter logs at source. This blog post shows how to do that when capturing logs using otel-collector. - [Send Kubernetes Metrics Using Prometheus to OpenObserve](https://openobserve.ai/blog/send-metrics-using-kube-prometheus-stack-to-openobserve/): Send metrics using kube-prometheus-stack to OpenObserve - [Capturing the Pulse of Your GitHub Actions with OpenObserve](https://openobserve.ai/blog/capturing-pulse-of-your-github-actions/): Explore how OpenObserve, an open-source observability tool, collaborates seamlessly with GitHub Actions through the 'openobserve_github_action_logs' repository… - [Serilog Sink for OpenObserve](https://openobserve.ai/blog/serilog-sink-for-openobserve/): Serilog Sink for OpenObserve is an extension that integrates Serilog, a favored logging library for .NET applications, with OpenObserve. Crafted by Konrad… - [Understanding Rust and Kubernetes Resource Management](https://openobserve.ai/blog/understanding-kubernetes-resource-management-using-rust-in-containers/): Understanding Kubernetes and container resource management using rust - [Revolutionizing Observability - Unveiling OpenObserve, the High-Performance, Cloud-Native Platform](https://openobserve.ai/blog/launching-openobserve/): OpenObserve is an open source, cloud native open source observability platform that provides ~140x (YMMV. Could be higher or lower based on data entropy) lower… #### How To (110) - [OpenTelemetry Collector Configuration: The Complete Guide](https://openobserve.ai/blog/opentelemetry-collector-configuration-guide/): A complete, practical guide to OpenTelemetry Collector configuration: YAML file structure, receivers, processors, exporters, pipelines, environment variables… - [Instrumenting CrewAI Multi-Agent Workflows with OpenTelemetry](https://openobserve.ai/blog/instrument-crewai-opentelemetry/): Add real observability to CrewAI: map Crew, Agent, and Task objects to OpenTelemetry spans, tell CrewAI's own anonymous telemetry apart from your own tracing… - [How to Migrate from Helicone to OpenObserve](https://openobserve.ai/blog/migrate-from-helicone-to-openobserve/): Helicone entered maintenance mode after Mintlify's March 2026 acquisition, with new signups closed and the roadmap frozen. Here's how to move LLM observability… - [Pin a Dashboard to Your OpenObserve Home Page (Org-Wide)](https://openobserve.ai/blog/pin-a-dashboard-to-your-openobserve-home-page/): You asked, we shipped: make one dashboard the org-wide landing view in OpenObserve. Pin it from the dashboard list or the dashboard header, and everyone on the… - [Instrumenting the OpenAI Agents SDK with OpenTelemetry](https://openobserve.ai/blog/instrument-openai-agents-sdk-opentelemetry/): Trace the OpenAI Agents SDK with OpenTelemetry: map handoffs, guardrails, and agent spans to OTLP and send the full trace to OpenObserve, not OpenAI's backend. - [Optimizing OpenObserve RUM: The Complete Guide to Cost, Performance, Privacy, and Data Quality](https://openobserve.ai/blog/optimize-rum-browser-monitoring/): A practical engineering runbook for getting the most out of OpenObserve Real User Monitoring control ingestion volume and cost, protect the page load, mask… - [Monitoring Claude Code Usage with OpenObserve and Querying via MCP](https://openobserve.ai/blog/monitor-claude-code-usage-openobserve-mcp/): Instrument Claude Code with OpenTelemetry, ship usage and cost data to OpenObserve, then query it back from Claude Code via the OpenObserve MCP server. - [How to Redact PII from LLM Telemetry Without Losing Debuggability](https://openobserve.ai/blog/redact-pii-llm-telemetry/): Learn how to redact PII from LLM telemetry using OpenObserve's SDR, VRL pipelines, and OTel Collector — keeping traces debuggable while staying GDPR, HIPAA… - [Observability for the Claude Agent SDK: Tracing Tool Use and Extended Thinking with OpenTelemetry](https://openobserve.ai/blog/claude-agent-sdk-observability-opentelemetry/): Trace, meter, and log Claude Agent SDK agents with OpenTelemetry: tool calls, MCP servers, extended thinking, and cost, all correlated in OpenObserve. - [Instrumenting Amazon Bedrock, Bedrock Agents, and AgentCore with OpenTelemetry](https://openobserve.ai/blog/instrument-amazon-bedrock-opentelemetry/): Trace Amazon Bedrock model calls, Bedrock Agents, and AgentCore with OpenTelemetry's gen_ai.* conventions (v1.41), then track token cost in dollars in… - [RUM Source Maps: Debug Minified Production Errors with Original Source Code](https://openobserve.ai/blog/rum-source-map/): Learn how to use OpenObserve's RUM source map feature to transform cryptic minified stack traces into readable, debuggable code with original filenames, line… - [How to Monitor OpenAI API Costs and Token Usage with OpenTelemetry](https://openobserve.ai/blog/monitor-openai-api-costs-opentelemetry/): A practical, code-first guide to instrumenting OpenAI with OpenTelemetry. Capture token usage, attribute costs by user and feature, build a cost dashboard, and… - [LLM Cost Monitoring with OpenObserve: Track Token Usage, Control AI Spend, and Visualize Every Dollar Across Your LLM Pipelines](https://openobserve.ai/blog/llm-cost-monitoring/): Learn how to implement LLM cost monitoring with OpenObserve. This hands-on guide covers token-level tracing, cost dashboards, per-user and per-model spend… - [How to Trace LangChain and LlamaIndex Applications with OpenObserve](https://openobserve.ai/blog/langchain-llamaindex-openobserve/): Learn how to add distributed tracing to LangChain and LlamaIndex apps using OpenLLMetry and the OpenTelemetry SDK, with traces flowing into OpenObserve. - [Add Full Observability to a New Microservice in Under 30 Minutes](https://openobserve.ai/blog/full-observability-to-microservice/): Learn how to set up logs, metrics, and traces for a new microservice in under 30 minutes. A step-by-step guide to achieving full observability quickly and… - [Detecting Frustrated Users Before They Churn: A Deep Dive into OpenObserve's Frustration Signals](https://openobserve.ai/blog/rum-frustration-signals/): Learn how OpenObserve's RUM module automatically detects rage clicks, dead clicks, and error clicks turning invisible UX pain into actionable signals you can… - [AI Agent Monitoring: How to Observe Autonomous AI Agents in Production](https://openobserve.ai/blog/ai-agent-monitoring/): Learn how to monitor autonomous AI agents in production using observability best practices. Track agent behavior, logs, traces, and performance with tools like… - [Implementing Distributed Tracing in a Java Application with OpenObserve](https://openobserve.ai/blog/distributed-tracing-java/): Learn how to implement distributed tracing in a Java Spring Boot microservices application using the OpenTelemetry Java Agent and OpenObserve. Covers zero-code… - [AI-Assisted Monitoring via MCP](https://openobserve.ai/blog/mcp-monitoring/): Learn how AI-assisted monitoring using MCP enhances observability with intelligent alerts, anomaly detection, and automated insights for faster incident… - [OpenTelemetry Collector Contrib: A Comprehensive Guide](https://openobserve.ai/blog/opentelemetry-collector-contrib/): Learn how to use the OpenTelemetry Collector Contrib distribution to collect, process, and export telemetry data. This guide covers architecture, key… - [From Symptoms to Quick Insights: Accelerate Troubleshooting with OpenObserve's Insights Feature](https://openobserve.ai/blog/observability-insights-troubleshooting-guide/): Learn how to use OpenObserve Insights for interactive log and trace analysis. Identify root causes in 60 seconds with dimension analysis. Real examples… - [Monitoring Caddy, MinIO, NATS, and ScyllaDB with OpenObserve Dashboards](https://openobserve.ai/blog/monitoring-caddy-minio-nats-scallydb-with-openobserve/): A walkthrough of dashboard JSON structure, query patterns, and integration architecture for Caddy, MinIO, NATS, and ScyllaDB. - [Convert Raw Logs into Metrics with OpenObserve Pipelines](https://openobserve.ai/blog/logs-to-metrics/): Learn how to convert raw logs into metrics using OpenObserve pipelines. Step-by-step guide to extract time-series metrics for faster dashboards and reliable… - [How to Debug a Real-Time Pipeline in OpenObserve: Complete Guide](https://openobserve.ai/blog/debug-realtime-pipeline/): A step-by-step guide to debugging real-time observability pipelines in OpenObserve, covering log ingestion, pipeline errors, and troubleshooting. - [Payment Monitoring with Stripe in OpenObserve](https://openobserve.ai/blog/payment-monitoring-stripe/): Enable end-to-end payment monitoring by sending Stripe events to OpenObserve and analyzing success/failure rates using dashboards, SQL queries, and alerts. - [Monitoring AWS Bedrock: Collecting Logs & Metrics in OpenObserve](https://openobserve.ai/blog/monitoring-aws-bedrock/): Learn how to monitor AWS Bedrock with CloudWatch, Kinesis Firehose, and OpenObserve. Track latency, errors, token usage, and model performance in real-time. - [How to Monitor Azure Kubernetes Service (AKS) with OpenObserve: End-to-End Setup](https://openobserve.ai/blog/monitor-azure-kubernetes-aks-openobserve-setup/): Learn how to set up comprehensive AKS monitoring with OpenObserve. Deploy the OpenObserve Collector to capture logs, metrics, and traces from your Azure… - [How to Export Azure Monitor Metrics using OpenTelemetry to OpenObserve](https://openobserve.ai/blog/azure-monitor-metrics/): Collect and export Azure Monitor metrics to OpenObserve using the OpenTelemetry Collector. Build real-time dashboards, query metrics, and set up SQL-based… - [Azure Monitoring with Otel Collector and OpenObserve: Collect Logs & Metrics from Any Resource](https://openobserve.ai/blog/monitor-azure-resources-eventhubreceiver/): Monitor Azure VMs, databases, storage, and networking with a single pipeline using Event Hub → OTel Collector → OpenObserve. Simplify logging & metrics. - [How to Send AWS Lambda Traces to OpenObserve Using ADOT (AWS Distro for OpenTelemetry)](https://openobserve.ai/blog/aws-lambda-traces-adot-openobserve/): Learn how to implement distributed tracing for AWS Lambda using the AWS Distro for OpenTelemetry (ADOT) layer. This step-by-step guide shows you how to… - [ServiceNow Integration with OpenObserve: Automate Incident Creation from Alerts](https://openobserve.ai/blog/servicenow-openobserve-integration/): Learn how to integrate ServiceNow with OpenObserve to automatically create incidents from alerts. Step-by-step guide covering webhook integration and… - [Sensitive Data Redaction in OpenObserve: How to Redact, Hash, and Drop PII Data Effectively](https://openobserve.ai/blog/sensitive-data-redaction-openobserve/): Explore how OpenObserve’s Sensitive Data Redaction protects PII in observability pipelines. Configure regex-based rules to redact, hash, or drop sensitive data… - [How to Deploy OpenObserve on DigitalOcean: A Complete Guide](https://openobserve.ai/blog/how-to-deploy-openobserve-on-digitalocean/): Learn how to deploy OpenObserve on DigitalOcean with Kubernetes, Spaces, and managed PostgreSQL. Complete production-ready setup guide with Helm configuration. - [Log Searching and Filtering](https://openobserve.ai/blog/log-searching-and-filtering/): Search, filter, and analyze logs efficiently to uncover insights faster. Explore advanced log search techniques, query filters, and best practices for managing… - [Monitoring OpenObserve: From Infrastructure Health to Internal Metrics](https://openobserve.ai/blog/monitoring-openobserve-internal-metrics-prometheus-opentelemetry/): Learn how to effectively monitor your OpenObserve deployment, starting from system health metrics like CPU, memory, and network usage, to OpenObserve’s own… - [How to Import Prebuilt Kubernetes (K8s) Dashboards in OpenObserve](https://openobserve.ai/blog/import-prebuilt-k8s-dashboards/): Import OpenObserve’s prebuilt Kubernetes dashboards for end-to-end visibility, trend analysis, and proactive alerts across clusters. - [How to Ingest Multi-Line Events in OpenObserve Using OpenObserve Collector](https://openobserve.ai/blog/ingest-multi-line-events-openobserve-collector/): Discover how to effectively handle multi-line log events, such as application stack traces, using OpenObserve Collector. This comprehensive guide covers… - [OpenObserve Usage Reporting](https://openobserve.ai/blog/usage-reporting/): Turn on usage reporting in OpenObserve to see ingest volume, API activity, and errors captured in the _meta org for auditing and oversight. - [Alerting 101: From Concept to Demo](https://openobserve.ai/blog/alerting-101-from-concept-to-demo/): Alerting fundamentals with a live demo: set triggers, format messages, and route alerts, both real-time and scheduled, in OpenObserve. - [OpenObserve Report Server Setup: Generate and Email Dashboards](https://openobserve.ai/blog/openobserve-report-server-set-up/): Set up OpenObserve Report Server to turn dashboards into scheduled PDF emails. Learn env vars, SMTP (Gmail/SES), and Docker run. - [How to Set Up Telegraf with OpenObserve for Easy Metrics Collection](https://openobserve.ai/blog/how-to-set-up-telegraf-for-http-metrics-collection/): Learn how to collect HTTP metrics with Telegraf and send them to OpenObserve: copy‑paste configs, verification steps, and production best practices. - [A Beginner’s Guide to OpenTelemetry OTLP Exporters](https://openobserve.ai/blog/otel-exporters-introduction/): This guide explains OpenTelemery OTLP Exporters, provides an overview and setup with simple step-by-step instructions. - [Send Syslog logs to OpenObserve via syslog-ng](https://openobserve.ai/blog/syslog-ng-log-forwarding/): Learn how to forward syslog-ng logs to OpenObserve using the openobserve-log() HTTP destination, test your pipeline, and tune batching, workers, and ports for… - [Stream AWS Lambda Logs to OpenObserve with OpenObserve Lambda Extension](https://openobserve.ai/blog/stream-aws-lambda-logs/): Stream AWS Lambda logs to OpenObserve without CloudWatch. See setup, env vars, ARNs for x86/arm64, SQL queries, and troubleshooting for real-time observability. - [Top 6 Best Practices for Web Application Monitoring with OpenObserve](https://openobserve.ai/blog/web-application-monitoring-tools-best-practices/): Improve reliability and UX: 6 best practices for web app monitoring with OpenObserve: RED KPIs, RUM/API/infra, SQL alerts, continuous monitoring, DevOps. - [Oracle Database Performance Monitoring with OpenTelemetry and OpenObserve](https://openobserve.ai/blog/oracle-db-performance-monitoring/): Monitor Oracle Database performance with OpenTelemetry and OpenObserve. Collect metrics, logs, and build dashboards for real-time insights. - [SLO-Based Alerting in OpenObserve](https://openobserve.ai/blog/slo-based-alerting/): Master SLO-based alerting in OpenObserve. Easily set reliability targets, track error budgets, and cut alert noise with SQL-driven monitoring. - [Navigating Observability: Logs, Metrics, and Traces Explained](https://openobserve.ai/blog/observability-logs-metrics-traces-explained/): Learn how metrics, logs & traces work together to troubleshoot faster, reduce downtime and improve reliability in modern cloud-native apps. - [Sending Logs from Oracle WebLogic to OpenObserve](https://openobserve.ai/blog/how-to-send-weblogic-logs-to-openobserve-using-fluent-bit/): Send logs from Oracle WebLogic to OpenObserve for fast search, longer retention, and cost efficiency with minimal setup using Fluent Bit. - [How to Monitor AWS API Gateway Access Logs via Kinesis Data Firehose and Openobserve](https://openobserve.ai/blog/how-to-monitor-api-access-logs/): Discover the importance of log monitoring for API performance, step-by-step instructions on setting up a Lambda function, creating a REST API, and configuring… - [Sending Logs from Google Cloud Run to OpenObserve](https://openobserve.ai/blog/sending-logs-from-google-cloud-run-to-openobserve/): Send logs from Google Cloud Run to OpenObserve for fast search, longer retention, and lower costs, and using just a few lines of code. - [How Log Parsing Works in OpenObserve](https://openobserve.ai/blog/how-log-parsing-works-in-openobserve/): Efficient log parsing with OpenObserve unlocks real-time analytics, troubleshooting, and alerting through VRL, flexible pipelines, and seamless ingestion. - [Sending Data from OpenObserve Pipelines to Splunk Using Splunk HTTP Event Collector (HEC)](https://openobserve.ai/blog/sending-data-from-openobserve-pipelines-to-splunk-using-splunk-http-event-collector/): How to send data from OpenObserve Pipelines to Splunk using the Splunk HTTP Event Collector (HEC) in 5 easy steps. - [How to Monitor Amazon DynamoDB Table via Kinesis Data Streams and Firehose Stream](https://openobserve.ai/blog/how-to-monitor-dynamodb-table/): Learn effective ways to monitor DynamoDB tables using AWS Kinesis Data Streams and Firehose. Enhance your data management strategies today! - [Implementing Real-Time Anomaly Detection with OpenObserve and Random Cut Forest](https://openobserve.ai/blog/real-time-anomaly-detection-openobserve-random-cut-forest/): This comprehensive guide explains how to implement real-time anomaly detection using OpenObserve and the Random Cut Forest algorithm for time series data… - [How to Deploy OpenObserve on Heroku: A Complete Guide](https://openobserve.ai/blog/deploy-openobserve-on-heroku/): Deploy OpenObserve on Heroku without DevOps complexity. Get logs, metrics, and traces monitoring running in minutes with our comprehensive deployment guide. - [How to Configure Microsoft ADDS LDAP with OpenObserve and Dex: Complete Integration Guide](https://openobserve.ai/blog/microsoft-adds-ldap-openobserve-dex-integration/): Learn how to securely integrate Microsoft Active Directory Domain Services (ADDS) LDAP with OpenObserve and Dex. This step-by-step guide covers authentication… - [Monitoring ArgoCD Deployments with Prometheus and OpenObserve](https://openobserve.ai/blog/monitor-argo-cd-with-openobserve/): Unlock the full potential of your ArgoCD deployments with Prometheus and OpenObserve monitoring. Get real-time insights into application health, sync status… - [Monitoring EKS Fargate Logs with Fluent Bit and OpenObserve](https://openobserve.ai/blog/eks-fargate-logging-with-openobserve/): Learn how to capture and analyze Amazon EKS Fargate logs using AWS's built-in Fluent Bit log router, Kinesis Firehose, and OpenObserve for comprehensive… - [How to Set Up AWS RDS Oracle SE2 with OpenObserve: Complete Monitoring Guide](https://openobserve.ai/blog/rds-oracle-monitoring/): Learn how to deploy AWS RDS Oracle SE2 and monitor it with OpenObserve for superior performance visibility. Step-by-step guide with CloudFormation templates… - [How to Send Java Application Logs to OpenObserve Using Log4j2](https://openobserve.ai/blog/integrating-log4j2-with-openobserve/): A comprehensive guide to configuring Log4j2 to send structured logs to OpenObserve for centralized logging and analysis of Java applications. - [Why Monitoring Databricks Logs Matters](https://openobserve.ai/blog/monitor-databricks/): This guide explains how to monitor Databricks logs in real time using OpenObserve. - [PHP Logging: Ingesting Monolog Data into OpenObserve for Better Monitoring](https://openobserve.ai/blog/php-monolog/): Learn how to boost PHP application observability by integrating Monolog with OpenObserve for powerful log management. This step-by-step guide shows developers… - [Why Stream Cloudflare Logs?](https://openobserve.ai/blog/cloudflare-monitoring/): This guide demonstrates how to stream Cloudflare HTTP request logs to OpenObserve using GraphQL API polling or Logpush HTTP push. - [How to Configure PagerDuty with OpenObserve Alerts: A Step-by-Step Guide](https://openobserve.ai/blog/configure-pagerduty-with-openobserve-alerts/): This comprehensive guide walks you through the process of integrating PagerDuty with OpenObserve for effective incident management. You'll learn how to set up… - [Why Use OpenObserve for Heroku Log Monitoring?](https://openobserve.ai/blog/monitor-heroku-logs-developer-guide/): Learn how to set up Heroku Log Drains to seamlessly send logs to OpenObserve using a forwarding app. - [How to migrate from Datadog to OpenObserve](https://openobserve.ai/blog/migrate-datadog-metrics-openobserve-opentelemetry/): Learn how to configure Datadog Agent to send metrics to OpenObserve using OpenTelemetry Collector. Complete guide with setup, troubleshooting & best practices. - [How to Ingest and Analyze NATS Logs and Metrics for Better Observability](https://openobserve.ai/blog/how-to-monitor-nats/): Boost your NATS infrastructure reliability with comprehensive observability. This guide covers log collection, metric analysis, visualization tools, and best… - [Why OpenObserve for Vercel Log Monitoring?](https://openobserve.ai/blog/monitor-vercel-application-logs-guide/): Learn how to set up Vercel Log Drains to seamlessly send logs to OpenObserve using a serverless function. - [Comprehensive Guide to Monitoring Kafka Metrics with OpenTelemetry Collector](https://openobserve.ai/blog/how-to-monitor-kafka-with-otel/): Learn how to monitor Apache Kafka metrics effectively using OpenTelemetry Collector Contrib and OpenObserve. This detailed guide covers Kafka installation… - [How to deploy OpenObserve on Amazon EKS with ALB ingress](https://openobserve.ai/blog/how-to-deploy-openobserve-on-eks-with-alb-ingress/): Learn How to deploy OpenObserve on Amazon EKS with ALB ingress. Step-by-step guide on setup, for better security, performance, and compliance. - [Ingesting Data from Cribl to OpenObserve: A Complete Guide](https://openobserve.ai/blog/cribl-to-openobserve-integration/): Learn how to integrate Cribl, a powerful data engine, with OpenObserve for efficient log and trace ingestion. Step-by-step setup, webhook configuration, and… - [Configuring Okta SSO with OpenObserve and Dex](https://openobserve.ai/blog/how-to-configure-sso-using-okta-oauth/): Learn how to configure Okta SSO with OpenObserve Dex using OAUTH for seamless authentication. Discover why Dex simplifies identity management, and follow a… - [Monitor Your RabbitMQ Metrics with OpenTelemetry and OpenObserve](https://openobserve.ai/blog/monitor-rabbitmq-metrics-otel/): Learn how to effectively monitor RabbitMQ performance metrics using OpenTelemetry Collector. Master message queue monitoring, track broker health, and optimize… - [AWS ALB Logs Monitoring: Complete Setup and Real-Time Insights](https://openobserve.ai/blog/how-to-monitor-aws-alb-logs/): Learn how to monitor AWS ALB logs efficiently with OpenObserve. Step-by-step guide on setup, ingestion, parsing, and visualization for better security… - [How to Monitor Apache Airflow Logs and Metrics Using OpenTelemetry](https://openobserve.ai/blog/how-to-monitor-airflow-with-otel/): Learn how to monitor Apache Airflow logs, metrics, and traces using OpenTelemetry and OpenObserve. Set up Airflow logging, configure OpenTelemetry, and… - [Configuring Azure SSO with OpenObserve and Dex](https://openobserve.ai/blog/how-to-configure-sso-using-azure-oidc/): Learn how to configure Azure SSO with OpenObserve Dex using OpenID Connect (OIDC) for seamless authentication. Discover why Dex simplifies identity management… - [Monitoring Apache Cassandra with OpenTelemetry: Metrics, Logs, and Dashboards](https://openobserve.ai/blog/how-to-monitor-cassandra/): Learn how to monitor Apache Cassandra using OpenTelemetry for collecting metrics and logs. This step-by-step guide covers JMX-based metrics collection, log… - [Monitor Your MongoDB Metrics with OpenTelemetry and OpenObserve](https://openobserve.ai/blog/monitor-mongodb-metrics-otel/): Discover how to effectively monitor MongoDB Metrics using the OpenTelemetry Collector. Enhance performance and reliability with our comprehensive guide. - [Monitor Your MySQL Database Metrics with OpenTelemetry and OpenObserve](https://openobserve.ai/blog/monitor-mysql-metrics-otel/): Discover how to effectively monitor MySQL Metrics using the OpenTelemetry Collector. Enhance performance and reliability with our comprehensive guide. - [Effortlessly Visualize and Manage All Your AWS Metrics in One Place](https://openobserve.ai/blog/how-to-monitor-all-aws-metrics-in-one-place/): Learn how to effortlessly bring together and visualize all your AWS metrics in one place. Step-by-step guide to creating unified dashboards for AWS monitoring. - [Monitoring Snowflake with OpenTelemetry Receiver: An End-to-End Guide](https://openobserve.ai/blog/how-to-monitor-snowflake-with-opentelemetry-receiver/): Discover the ultimate guide to monitoring Snowflake with OpenTelemetry. Learn how to set up seamless telemetry for Snowflake, track performance metrics… - [End-to-End Guide: Configuring and Monitoring Aerospike with OpenTelemetry Receiver](https://openobserve.ai/blog/how-to-monitor-aerospike-database/): Learn how to set up and monitor Aerospike using the OpenTelemetry receiver in this comprehensive guide. Includes step-by-step instructions for installation… - [End-to-End Guide: Configuring and Monitoring Zookeeper with OpenTelemetry Receiver](https://openobserve.ai/blog/how-to-monitor-zookeeper-with-openteletemtry/): Learn how to set up and monitor ZooKeeper using the OpenTelemetry receiver in this comprehensive guide. Includes step-by-step instructions for installation… - [Monitor Your SQL Server Performance with OpenTelemetry and OpenObserve](https://openobserve.ai/blog/monitor-sql-server-with-otel/): Boost SQL Server performance with OpenTelemetry! Discover top monitoring techniques for seamless database management and enhanced efficiency today - [How to monitor AWS RDS Logs and events with AWS Cloudwatch and Kinesis Data Firehose](https://openobserve.ai/blog/monitor-aws-rds-cloudwatch-logs/): Learn how to set up AWS RDS log ingestion for detailed monitoring and observability. Compare centralized log analysis with OpenObserve vs. traditional methods… - [Comprehensive Guide to Monitoring AWS RDS via CloudWatch Metrics and OpenTelemetry](https://openobserve.ai/blog/monitor-aws-rds-with-cloudwatch-metrics/): Learn how to monitor AWS RDS metrics efficiently using AWS CloudWatch and OpenTelemetry. This guide covers end-to-end steps, including creating a CloudWatch… - [Monitor Your Redis Metrics with Opentelemetry and OpenObserve](https://openobserve.ai/blog/monitor-redis-metrics-otel/): Discover how to effectively monitor Redis Metrics using the OpenTelemetry Collector. Enhance performance and reliability with our comprehensive guide. - [How to redact sensitive / PII data in your logs](https://openobserve.ai/blog/redact-sensitive-data-in-logs/): There are times when you would like to filter logs at source. This blog post shows how to do that when capturing logs using otel-collector. - [Monitoring CloudFront Access Logs with Kinesis Streams & Amazon Data Firehose: A Step-by-Step Guide](https://openobserve.ai/blog/monitor-cloudfront-access-logs-kinesis-streams-amazon-data-firehose-guide/): Learn how to set up real-time monitoring for CloudFront access logs using AWS Kinesis Streams and Firehose. This guide walks you through configuring CloudFront… - [Comprehensive Guide to AWS WAF: Logging, Monitoring, and Visualization](https://openobserve.ai/blog/how-to-monitor-aws-waf-logs/): Learn how to set up and monitor AWS WAF logs for enhanced security. This comprehensive guide covers AWS WAF configuration, waf logs, automated ingestion… - [How to Configure Email Alerts in OpenObserve: A Step-by-Step Guide](https://openobserve.ai/blog/how-to-configure-email-alerts-in-openobserve/): Learn how to configure email alerts in OpenObserve with this step-by-step guide. Set up Gmail SMTP, create alert templates, and ensure instant notifications… - [What is AWS CloudTrail? How to Monitor CloudTrail Logs and Data Events for Real-Time Insights](https://openobserve.ai/blog/what-is-aws-cloudtrail-and-how-to-monitor-cloudtrail-logs/): Learn what AWS CloudTrail is and how to monitor CloudTrail logs and data events in real-time. Using a CloudFormation stack, deploy roles for Lambda functions… - [How to Monitor AWS Events Using Amazon EventBridge (CloudWatch Events)](https://openobserve.ai/blog/monitor-aws-events-using-amazon-eventbridge-cloudwatch-events/): Discover how to monitor AWS events using Amazon EventBridge and OpenObserve. Learn to set up a real-time event pipeline, simulate events, and create powerful… - [How to Monitor AWS Lambda Logs Using CloudWatch & Kinesis Firehose](https://openobserve.ai/blog/monitor-aws-lambda-logs-cloudwatch-kinesis-firehose/): Learn how to monitor AWS Lambda logs using CloudWatch, Kinesis Firehose, and OpenObserve for performance tracking and error detection. - [Comprehensive Guide to Integrating AWS CloudWatch Logs with Amazon Kinesis Firehose](https://openobserve.ai/blog/how-to-stream-aws-cloudwatch-logs-to-amazon-kinesis-firehose/): Learn how to integrate AWS CloudWatch Logs with Amazon Kinesis Firehose for seamless, real-time log streaming and management. This step-by-step guide covers… - [How to Monitor Nginx in Real-Time: Step-by-Step Guide for Tracking Logs, Metrics, and Performance Insights](https://openobserve.ai/blog/how-to-monitor-nginx-with-fluentbit-and-o2/): Learn how to monitor Nginx logs in real-time with this step-by-step guide, covering essential techniques for tracking logs, metrics, and performance insights… - [How to Monitor Jenkins Pipelines with OpenTelemetry and OpenObserve](https://openobserve.ai/blog/monitor-jenkins-with-opentelemetry-and-openobserve/): Learn how to monitor Jenkins pipelines effectively with this comprehensive guide on integrating OpenTelemetry and OpenObserve. Discover step-by-step… - [How Can You Store and Monitor Ansible Logs Effortlessly?](https://openobserve.ai/blog/how-can-you-store-and-monitor-ansible-logs/): Learn how to store and monitor Ansible logs effortlessly with this step-by-step guide. Discover best practices for Ansible log management, setup instructions… - [How to Generate and Ingest Terraform Logs for Observability and Analysis](https://openobserve.ai/blog/how-to-generate-and-ingest-terraform-logs/): Learn how to generate, configure, and ingest Terraform logs with Fluent Bit to OpenObserve. This step-by-step guide covers essential logging for auditing… - [How to Enhance AWS VPC Flow Logs with Reverse DNS Resolution Using VRL](https://openobserve.ai/blog/how-to-enhance-vpc-flow-logs-with-reverse-dns-lookup-in-vrls/): Learn how to enhance AWS VPC Flow Logs by adding reverse DNS resolution using Vector Remap Language (VRL). This guide provides a step-by-step approach to… - [How to analyze Google Workspaces audit logs](https://openobserve.ai/blog/how-to-analyze-google-workspaces-audit-logs/): Understanding how to analyze Google Workspaces audit logs using Google Cloud Pub/Sub and OpenObserve. - [Analyze Okta events for better security and observability](https://openobserve.ai/blog/analyze-okta-events-for-better-security-and-observability/): Understanding how to send Okta logs to OpenObserve for better security and observability. - [How to send GCP logs to OpenObserve](https://openobserve.ai/blog/send-gcp-logs-to-openobserve/): Understanding how to send GCP logs to OpenObserve using pub sub and OpenObserve builtin support - [How to capture AWS VPC Flow Logs and analyze them](https://openobserve.ai/blog/how-to-capture-aws-vpc-flow-logs-and-analyze-them/): Amazon Web Services (AWS) provides a wealth of data about the traffic that flows through your Virtual Private Cloud (VPC). By capturing this data, you can gain… - [Parsing Syslog Messages](https://openobserve.ai/blog/parsing-syslog-messages/): VRL provides a powerful way to parse syslog messages,using the built-in `parse_syslog` . Some syslog messages may not be parsed effectively using the built-in… - [Parsing windows IIS logs](https://openobserve.ai/blog/parsing-windows-iis-logs/): Internet Information Services (IIS) is a flexible, secure and manageable Web server for hosting anything on the Web. Monitoring and analyzing IIS logs can… - [How to stream NodeJS application logs to OpenObserve!](https://openobserve.ai/blog/how-to-send-pino-logs-to-openobserve/): Sending logs from NodeJS application to OpenObserve using Pino is easy. This blog is a step by step guide to do that. - [How to setup fluentbit on Ubuntu](https://openobserve.ai/blog/setup-fluent-bit-on-ubuntu-for-efficient-log-forwarding/): Setup Fluent Bit on Ubuntu for Efficient Log Forwarding - [Harnessing the Power of FluentBit to Stream Kubernetes Logs to OpenObserve!](https://openobserve.ai/blog/how-to-send-kubernetes-logs-using-fluent-bit/): Sending logs from Kubernetes to OpenObserve using FluentBit is easy. This blog is a step by step guide to do that. #### Announcement (12) - [Let's Get Proactive! Synthetic Monitoring Is Here](https://openobserve.ai/blog/synthetic-monitoring-release/): Synthetic Monitoring is now in beta in OpenObserve Cloud: HTTP, TCP, TLS, and SSH checks with per-type assertions, full Playwright browser checks from a… - [Your Dashboards Are No Longer a Reason to Stay](https://openobserve.ai/blog/migrate-dashboards-datadog-grafana-kibana-cloudwatch-openobserve/): Free tool that converts Datadog, Grafana, Kibana, and CloudWatch dashboards to OpenObserve. Queries translated, layouts preserved, no signup required. - [What's New in OpenObserve: Terraform Support, Bring Your Own Bucket, and UX Updates](https://openobserve.ai/blog/openobserve-terraform-byob-updates/): OpenObserve now supports Terraform for infrastructure-as-code deployments, Bring Your Own Bucket for full control over your data storage, and ships targeted UX… - [We Just Raised $10M and Launched a Set of New AI Capabilities. Here's What We're Building Toward.](https://openobserve.ai/blog/series-a-announcement/): OpenObserve raises $10M Series A to launch Observability 3.0. Discover our AI-native platform featuring an autonomous AI SRE, LLM observability, and anomaly… - [OpenChoreo Chooses OpenObserve for Cloud-Native Logging and Tracing](https://openobserve.ai/blog/openchoreo-and-openobserve/): When the OpenChoreo team needed an observability backend for their CNCF sandbox Internal Developer Platform, they chose OpenObserve. Here's why and what it… - [Major Product Update: AI Assistant, LLM Observability & v0.70.0 ( March 2026)](https://openobserve.ai/blog/product-update-march-2026/): AI Assistant and LLM Observability are now live on OpenObserve Cloud. v0.70.0 brings a rebuilt Service Graph, visual query builder, Incident Timeline, and more. - [Why I’m Joining OpenObserve as CRO: It’s Time to Fix Observability](https://openobserve.ai/blog/shani-shoham-joined-openobserve-cro/): Cloud native was promised to be simple, yet observability has become a massive tax on both budgets and engineering time. Our new CRO, Shani Shoham, shares why… - [Major Product Update! OpenObserve v0.40.0](https://openobserve.ai/blog/openobserve-release-0-40-0/): OpenObserve v0.40.0 comes just in time for the new year, a milestone release that brings major architectural improvements, powerful new alerting capabilities… - [The OpenObserve Dashboard Contest: Show Us What You’ve Built](https://openobserve.ai/blog/openobserve-dashboard-contest-2025/): Join the OpenObserve Dashboard Contest and show off your best dashboards. Share your build on LinkedIn with #BuiltWithOpenObserve and #DashboardDrop for a… - [OpenObserve is Now Available on the AWS Marketplace](https://openobserve.ai/blog/openobserve-on-the-aws-marketplace/): OpenObserve is now available on AWS Marketplace! Discover how teams can streamline observability with faster deployment, simplified billing, and seamless… - [Pricing Policy Update for OpenObserve Cloud](https://openobserve.ai/blog/june-25-pricing-policy-updates/): OpenObserve is transitioning to a fully usage-based pricing model effective June 2nd, 2025, eliminating minimum fees and the free tier. The new pay-as-you-go… - [OpenObserve Reaches 15,000 GitHub Stars: A Journey to Provide Simple, Efficient, and Performant Observability for All](https://openobserve.ai/blog/openobserve-reaches-15000-github-stars/): OpenObserve has just surpassed 15,000 stars on GitHub, a milestone that fills me with both pride and gratitude. When we started this project three years ago… #### Release (2) - [Major Product Update! OpenObserve v0.16.1](https://openobserve.ai/blog/openobserve-release-0-16-1/): OpenObserve v0.16.1 delivers meaningful new features including Alert History for debugging monitoring reliability, Pipeline History for execution tracking, and… - [What's New in OpenObserve v0.13.1-rc1](https://openobserve.ai/blog/whats-new-in-openobserve-v0-13-1-rc1/): Discover the latest release of OpenObserve, version 0.13.1-rc1! Enjoy faster search speeds, advanced dashboard features, enhanced alerting with multiple time… ### Customer Stories (7) - [How DevZero Migrated from Datadog in Under an Hour and Cut Observability Costs by 4x with OpenObserve](https://openobserve.ai/customer-stories/devzero-customer-story/): DevZero cut observability spend 4x after migrating from Datadog to OpenObserve in under an hour. See how predictable pricing replaced 15-20% bill swings. - [How Stonal Accelerated Issue Diagnosis and Met European Compliance Standards while Decreasing Observability Costs with OpenObserve](https://openobserve.ai/customer-stories/stonal-customer-story/): How Stonal's team went from observability budget headaches to full-stack observability with predictable costs and European data residency using OpenObserve. - [How Evereve Eliminated Monitoring Constraints, Reduced Costs by > 90%, and Unified Observability Across Teams with OpenObserve](https://openobserve.ai/customer-stories/evereve-customer-story/): An observability customer story showcasing how a brick-and-mortar and e-commerce fashion brand consolidated observability tools while drastically reducing… - [How Avatar Achieved SOC 2 Compliance, Improved Uptime, and Saved Costs with OpenObserve](https://openobserve.ai/customer-stories/avatar-customer-story/): Avatar achieved SOC 2 compliance, improved uptime to 99.99%, and saved 60% on observability costs with OpenObserve's unified monitoring platform. - [How Decklar Improved IoT Log Management with OpenObserve](https://openobserve.ai/customer-stories/decklar-case-study/): An observability case study showcasing how a leading IoT-based supply chain visibility platform revolutionized its monitoring infrastructure. - [How Jidu Scaled Smart Car Tracing with OpenObserve](https://openobserve.ai/customer-stories/jidu-case-study/): An observability case study for companies managing high-throughput data in industries like autonomous vehicles, IoT, and robotics. - [How ONEngine Reduced Data Monitoring Costs with OpenObserve](https://openobserve.ai/customer-stories/onengine-case-study/): An observability case study demonstrating how a leading no-code automation platform revolutionized its monitoring infrastructure ### Comparison Pages (25) - [OpenObserve vs AppDynamics](https://openobserve.ai/appdynamics-alternative/): Tired of AppDynamics' per-CPU-core licensing and proprietary agents? Get OTel-native APM, logs, and metrics in one open platform. - [OpenObserve vs Axiom](https://openobserve.ai/axiom-alternative/): Like Axiom's object-storage economics? Get the same cost story: open source, self-hostable, and with full observability including metrics, traces, and RUM. - [OpenObserve vs Chronosphere](https://openobserve.ai/chronosphere-alternative/): Enterprise SaaS pricing and a control plane to shrink your own data? Get cost control by architecture instead: open source, object storage, self-hostable. - [OpenObserve vs ClickHouse](https://openobserve.ai/clickhouse-alternative/): Building observability on ClickHouse means owning schemas, pipelines, and UI glue. OpenObserve gives you the full platform out of the box. - [OpenObserve vs Coralogix](https://openobserve.ai/coralogix-alternative/): Tired of TCO Optimizer policies and data-tier gymnastics? Get one simple price, open source, and the freedom to self-host or run in the cloud. - [OpenObserve vs Cribl](https://openobserve.ai/cribl-alternative/): Why pay a pipeline to shrink data for an expensive backend? OpenObserve has built-in pipelines plus a low-cost backend, so you can store everything. - [OpenObserve vs Dash0](https://openobserve.ai/dash0-alternative/): Both are OpenTelemetry-native. Only one is open source, self-hostable, and priced by volume instead of per signal. - [OpenObserve vs Datadog](https://openobserve.ai/datadog-alternative/): Escape unpredictable pricing. Get the same visibility without per-host fees eating your budget. - [OpenObserve vs Dynatrace](https://openobserve.ai/dynatrace-alternative/): Escape complex DPU billing, proprietary lock-in, and heavyweight OneAgent overhead. Full-stack observability at a fraction of the cost. - [OpenObserve vs Elasticsearch](https://openobserve.ai/elasticsearch-alternative/): The ELK stack without the babysitting. ~140x lower storage cost, no shard management, no JVM tuning. - [OpenObserve vs Grafana](https://openobserve.ai/grafana-alternative/): Stop paying per seat and learning multiple query languages. One platform, one price, zero lock-in. - [OpenObserve vs Honeycomb](https://openobserve.ai/honeycomb-alternative/): Love Honeycomb's tracing but not the per-event bill? Get full-stack observability, logs, metrics, and traces, on low-cost object storage. - [OpenObserve vs LogicMonitor](https://openobserve.ai/logicmonitor-alternative/): Outgrowing per-resource pricing and metrics-first monitoring? Get unified logs, metrics, and traces without per-device licensing. - [OpenObserve vs Logz.io](https://openobserve.ai/logz-io-alternative/): Love open standards but not volume-and-retention pricing? Get the same OpenTelemetry-native observability, open source and self-hostable. - [OpenObserve vs Nagios](https://openobserve.ai/nagios-alternative/): Outgrown Nagios host checks and config files? Get logs, metrics, and traces in one modern, open-source observability platform. - [OpenObserve vs Netdata](https://openobserve.ai/netdata-alternative/): Netdata is great at per-node real-time metrics. When you need centralized logs, traces, and long retention across your whole fleet, teams switch to OpenObserve. - [OpenObserve vs New Relic](https://openobserve.ai/newrelic-alternative/): Escape rigid per-user pricing. Get the same observability without platform seats driving up costs. - [OpenObserve vs Papertrail](https://openobserve.ai/papertrail-alternative/): Love Papertrail's simplicity but outgrowing 7-day retention and logs-only limits? Get the same ease with open source, S3-backed unlimited retention, and full… - [OpenObserve vs Sentry](https://openobserve.ai/sentry-alternative/): Sentry is great at error tracking, but stops there. Get logs, metrics, traces, and RUM in one open-source platform without per-event quotas. - [OpenObserve vs SigNoz](https://openobserve.ai/signoz-alternative/): Like SigNoz's OTel-native approach but not running ClickHouse? Get open-source observability on object storage: lower cost, simpler ops. - [OpenObserve vs SolarWinds](https://openobserve.ai/solarwinds-alternative/): Outgrowing SolarWinds' node-based licensing and legacy agents? Get modern, OTel-native observability without the module sprawl. - [OpenObserve vs Splunk Observability Cloud](https://openobserve.ai/splunk-observability-cloud-alternative/): Per-host pricing, MTS limits, and a separate product for logs? Get unified logs, metrics, and traces with usage-based pricing instead. - [OpenObserve vs Splunk](https://openobserve.ai/splunk-alternative/): Tired of Splunk's complexity and cost? Escape vendor lock-in and deployment complexity. - [OpenObserve vs Sumo Logic](https://openobserve.ai/sumologic-alternative/): Tired of credit-based pricing and data tiers? Get predictable observability costs on object storage: open source, OTel-native, self-host or cloud. - [OpenObserve vs Zabbix](https://openobserve.ai/zabbix-alternative/): Zabbix watches hosts. OpenObserve observes everything: logs, metrics, traces, and RUM in one open-source platform. ### Glossary (20) - [APM (Application Performance Monitoring)](https://openobserve.ai/glossary/what-is-apm/): APM is the practice and tooling for monitoring application performance and availability — response times, error rates, throughput, and transaction traces — to… - [Distributed Tracing](https://openobserve.ai/glossary/what-is-distributed-tracing/): Distributed tracing tracks a single request as it travels through the services of a distributed system, recording timing and context at every hop so you can… - [DORA Metrics](https://openobserve.ai/glossary/what-is-dora-metrics/): DORA metrics are four research-backed measures of software delivery performance — deployment frequency, lead time for changes, change failure rate, and failed… - [Error Budget](https://openobserve.ai/glossary/what-is-error-budget/): An error budget is the amount of unreliability an SLO permits — if your target is 99.9%, the 0.1% is budget you can spend on releases, experiments, and… - [Four Golden Signals](https://openobserve.ai/glossary/four-golden-signals/): The four golden signals — latency, traffic, errors, and saturation — are Google SRE's recommended minimum set of metrics for monitoring any user-facing system. - [High Cardinality](https://openobserve.ai/glossary/what-is-high-cardinality/): High cardinality means a field or metric label has a very large number of unique values — user IDs, container IDs, request IDs — which can explode storage and… - [LLM Observability](https://openobserve.ai/glossary/what-is-llm-observability/): LLM observability is the practice of monitoring LLM-powered applications — tracing prompts and responses, tracking token costs and latency, and evaluating… - [Log Aggregation](https://openobserve.ai/glossary/what-is-log-aggregation/): Log aggregation is the process of collecting logs from many distributed sources into one centralized system where they can be searched, correlated, and… - [Log Management](https://openobserve.ai/glossary/what-is-log-management/): Log management is the practice of collecting, parsing, storing, searching, and retaining log data from applications and infrastructure — at a cost and scale… - [MTTR vs MTTD](https://openobserve.ai/glossary/mttr-vs-mttd/): MTTD (mean time to detect) measures how quickly you notice an incident; MTTR (mean time to resolve) measures how quickly you fix it. Together they define how… - [Observability](https://openobserve.ai/glossary/what-is-observability/): Observability is the ability to understand a system's internal state from the telemetry it emits — logs, metrics, and traces — so you can debug problems you… - [OpenTelemetry Collector](https://openobserve.ai/glossary/what-is-opentelemetry-collector/): The OpenTelemetry Collector is a vendor-neutral agent that receives, processes, and exports telemetry — a configurable pipeline of receivers, processors, and… - [OTLP (OpenTelemetry Protocol)](https://openobserve.ai/glossary/what-is-otlp/): OTLP is OpenTelemetry's vendor-neutral wire protocol for transmitting traces, metrics, and logs from applications and collectors to any compatible… - [Real User Monitoring (RUM)](https://openobserve.ai/glossary/what-is-real-user-monitoring/): Real User Monitoring (RUM) captures performance, errors, and behavior from actual users' browsers and mobile devices — page loads, web vitals, session replays… - [SIEM](https://openobserve.ai/glossary/what-is-siem/): SIEM is a security platform that aggregates logs and events across an organization, correlates them to detect threats, and supports investigation, alerting… - [SLO vs SLA vs SLI](https://openobserve.ai/glossary/slo-sla-sli/): An SLI is what you measure (e.g., percent of successful requests), an SLO is the internal target you set for it (99.9%), and an SLA is the external contract… - [Span](https://openobserve.ai/glossary/what-is-a-span/): A span is the basic unit of a distributed trace — one named, timed operation with attributes, events, and a parent — and a trace is the tree of spans a single… - [Telemetry](https://openobserve.ai/glossary/what-is-telemetry/): Telemetry is data emitted by software systems about their own behavior — logs, metrics, traces, and events — collected remotely to monitor, debug, and optimize… - [Telemetry Pipeline](https://openobserve.ai/glossary/what-is-telemetry-pipeline/): A telemetry pipeline (or observability pipeline) collects, transforms, filters, enriches, and routes logs, metrics, and traces between sources and destinations… - [Three Pillars of Observability](https://openobserve.ai/glossary/three-pillars-of-observability/): The three pillars of observability are logs, metrics, and traces — the core telemetry signals used to understand, debug, and operate modern software systems. ### OpenTelemetry Guides (14) - [OpenTelemetry for Java: Traces, Metrics & Logs with OpenObserve](https://openobserve.ai/opentelemetry/java/): Instrument Java with OpenTelemetry — zero-code javaagent and manual SDK setup — and ship traces, metrics, and logs to OpenObserve via OTLP. - [OpenTelemetry for Python: Traces, Metrics & Logs with OpenObserve](https://openobserve.ai/opentelemetry/python/): Instrument Python apps with OpenTelemetry — zero-code and manual SDK setup for traces, metrics, and logs, exported to OpenObserve via OTLP. - [OpenTelemetry for Node.js: Traces, Metrics & Logs with OpenObserve](https://openobserve.ai/opentelemetry/nodejs/): Instrument Node.js with OpenTelemetry: auto-instrumentation, manual traces, metrics, and logs, then ship everything to OpenObserve over OTLP. - [OpenTelemetry for .NET: Traces, Metrics & Logs Guide](https://openobserve.ai/opentelemetry/dotnet/): Instrument .NET apps with OpenTelemetry — ActivitySource traces, Meter metrics, ILogger logs — and ship everything to OpenObserve over OTLP. - [OpenTelemetry for Go: Traces, Metrics & Logs with OpenObserve](https://openobserve.ai/opentelemetry/go/): Instrument Go apps with the OpenTelemetry SDK — traces, metrics, and logs via OTLP to OpenObserve. Complete setup, code examples, and troubleshooting. - [OpenTelemetry for PHP: Traces, Metrics & Logs with OpenObserve](https://openobserve.ai/opentelemetry/php/): Instrument PHP with OpenTelemetry: SDK setup, the C extension for auto-instrumentation, FPM batching realities, and OTLP export to OpenObserve. - [OpenTelemetry Collector: Setup, Config & Best Practices](https://openobserve.ai/opentelemetry/collector/): Install and configure the OpenTelemetry Collector — receivers, processors, exporters, deployment patterns, and shipping OTLP data to OpenObserve. - [OpenTelemetry for Rust: Traces, Metrics & Logs with OpenObserve](https://openobserve.ai/opentelemetry/rust/): Instrument Rust apps with the OpenTelemetry SDK and tracing crate — traces, metrics, and logs via OTLP to OpenObserve. Setup, code, and troubleshooting. - [OpenTelemetry for Kotlin: Traces, Metrics & Logs with OpenObserve](https://openobserve.ai/opentelemetry/kotlin/): Instrument Kotlin/JVM apps with the OpenTelemetry Java SDK and coroutine-safe context propagation — traces, metrics, and logs via OTLP to OpenObserve. - [OpenTelemetry for Ruby: Traces, Metrics & Logs with OpenObserve](https://openobserve.ai/opentelemetry/ruby/): Instrument Ruby apps with the OpenTelemetry SDK — traces, metrics, and logs via OTLP to OpenObserve. Gem setup, working code, and troubleshooting. - [OpenTelemetry for C++: Traces, Metrics & Logs with OpenObserve](https://openobserve.ai/opentelemetry/cpp/): Instrument C++ apps with opentelemetry-cpp — traces, metrics, and logs via OTLP HTTP to OpenObserve. CMake, vcpkg, Conan setup, code, and troubleshooting. - [OpenTelemetry for Swift: iOS & Server Tracing with OpenObserve](https://openobserve.ai/opentelemetry/swift/): Instrument iOS, macOS, and server-side Swift with opentelemetry-swift — traces, metrics, and logs over OTLP to OpenObserve. Setup, code, troubleshooting. - [OpenTelemetry for Elixir: Tracing with the Erlang SDK & OpenObserve](https://openobserve.ai/opentelemetry/elixir/): Instrument Elixir apps with the OpenTelemetry Erlang SDK — stable traces over OTLP to OpenObserve, honest metrics/logs status, mix setup, and troubleshooting. - [OpenTelemetry for Erlang: Instrument OTP Apps with OpenObserve](https://openobserve.ai/opentelemetry/erlang/): Instrument Erlang/OTP apps with the OpenTelemetry Erlang SDK — rebar3 deps, sys.config, ?with_span tracing, and OTLP export to OpenObserve. ### Product Updates (10) - [OpenObserve Introduces Synthetic Monitoring (2026-08-06)](https://openobserve.ai/whats-new/2026-08-06-synthetics/): Run scripted browser journeys and HTTP, TCP, TLS, and SSH checks on a schedule from public and private locations, and catch outages before users do. - [OpenObserve crosses 20,000 GitHub stars (2026-07-16)](https://openobserve.ai/whats-new/2026-07-16-20000-github-stars/): OpenObserve has passed 20,000 stars on GitHub — a milestone we owe entirely to our community. Thank you to everyone who has starred, contributed, filed issues… - [Major Product Release v0.91.0 (2026-06-23)](https://openobserve.ai/whats-new/2026-06-23-v0910-release/): OpenObserve v0.91.0 ships a redesigned UI and introduces AI agent observability with MCP protocol support, agent tracing, and AI assistance built into the… - [OpenObserve Launches Asia Pacific South-1 (Mumbai) Region on AWS (2026-06-02)](https://openobserve.ai/whats-new/2026-06-02-asia-pacific-region/): OpenObserve is now available in the Asia Pacific South-1 (Mumbai, India) region on AWS, helping APAC customers reduce ingestion latency and meet local data… - [OpenObserve Ships Terraform Provider and Kubernetes Module (2026-05-14)](https://openobserve.ai/whats-new/2026-05-14-terraform-support/): Manage OpenObserve resources as code with the new Terraform provider, and deploy OpenObserve on Kubernetes with the official Terraform module — from… - [OpenObserve Introduces Bring Your Own Bucket (BYOB) (2026-05-12)](https://openobserve.ai/whats-new/2026-05-12-bring-your-own-bucket/): Connect your own S3 bucket or Azure Blob container to OpenObserve Cloud. Your data stays in your account, under your security policies, while OpenObserve… - [OpenObserve Raises $10M Series A and Launches Observability 3.0 (2026-04-28)](https://openobserve.ai/whats-new/2026-04-28-series-a-announcement/): OpenObserve secures $10M in Series A funding led by Nexus Venture Partners and Dell Technologies Capital, alongside the launch of AI SRE, anomaly detection… - [OpenObserve Launches EU-Central 1 (Frankfurt) Region on AWS (2026-03-16)](https://openobserve.ai/whats-new/2026-03-16-eu-central-region/): OpenObserve is now available in the EU-Central 1 (Frankfurt) region on AWS, enabling European customers to meet GDPR compliance, data sovereignty, and… - [OpenObserve introduces the Datadog Bill Analyzer (2026-03-15)](https://openobserve.ai/whats-new/2026-03-15-datadog-bill-analyzer/): Upload your Datadog bill to receive an instant, line-by-line estimate of your potential savings with OpenObserve. - [OpenObserve Announces New US West 2 (California) Region on Microsoft Azure (2026-03-15)](https://openobserve.ai/whats-new/2026-03-15-us-west-region/): OpenObserve is now available in the US West 2 region hosted on Microsoft Azure, featuring simplified procurement and unified billing through the Azure… ## Optional - [Full site content for LLMs](https://openobserve.ai/llms-full.txt): Same index with untruncated page descriptions and complete pricing inline. - [Documentation index for LLMs](https://openobserve.ai/docs/llms.txt): All documentation pages with descriptions, grouped by section. Generated from the docs sources. - [Full documentation text for LLMs](https://openobserve.ai/docs/llms-full.txt): Complete text of all documentation pages in one file, for retrieval without crawling each page. - [OpenObserve Docs Home](https://openobserve.ai/docs/): Full documentation index, covering self-hosting, RBAC, alerting, dashboards, and SQL/PromQL query reference. - [OpenObserve Blog](https://openobserve.ai/blog/): All 306 posts, browsable by category, tag, and author. - [Glossary](https://openobserve.ai/glossary/): 20 observability terms defined in plain language. ## Per-Page Markdown Every page below is also available as plain markdown by appending `.md` to its path — fetch a single page's full text without parsing HTML. - `https://openobserve.ai/blog/.md` - `https://openobserve.ai/customer-stories/.md` - `https://openobserve.ai/glossary/.md` - `https://openobserve.ai/opentelemetry/.md` - `https://openobserve.ai/whats-new/.md` - [Pricing](https://openobserve.ai/pricing.md)