# OpenObserve Blog

> All 303 posts on observability, OpenTelemetry, cost optimization, and platform engineering - every entry also available as markdown by appending .md to its URL.

Source: https://openobserve.ai/blog/

---

## Engineering (178)

- [Best Telemetry Agents in 2026: OpenTelemetry, Fluent Bit & More Compared](https://openobserve.ai/blog/best-telemetry-agents/): Compare the best telemetry collection agents in 2026 for logs, metrics, and traces on performance, footprint, and OTel compatibility.
- [Datadog Synthetic Monitoring Pricing: The Per-Test Trap](https://openobserve.ai/blog/datadog-synthetic-monitoring-pricing/): Datadog Synthetic Monitoring bills per API and browser test run. Here's what that actually costs once you factor in check frequency, multiple locations, and journey count, with worked math and what a flat, usage-based alternative looks like.
- [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.
- [OpenObserve vs ClickHouse: One Billion Log Records](https://openobserve.ai/blog/openobserve-vs-clickhouse-one-billion-logs-benchmark/): We generated one billion log records, 2 TiB of NDJSON, and wrote the identical bytes into ClickHouse and two OpenObserve instances at the same time, each on its own dedicated node. Across 19 queries with a full-text index on both sides, OpenObserve finished 3.4x to 4.6x faster on a third less disk. One compaction setting was worth more than the file format.
- [OpenObserve vs Prometheus & Mimir: Metrics Benchmark](https://openobserve.ai/blog/openobserve-vs-prometheus-mimir-metrics-benchmark/): We pushed the same ~2.2 billion samples through one OTel Collector into Prometheus, Grafana Mimir, and OpenObserve (Parquet and Vortex) simultaneously, then ran identical PromQL over a frozen 1.09-million-series dataset. OpenObserve answered irate queries ~15x faster, the million-series histogram ~6x faster, and held ingestion to half of Prometheus's memory.
- [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 build logs, metrics, and traces on.
- [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. Here's what that build actually costs.
- [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 Kubernetes Events.
- [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 why distributed traces break across services.
- [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 levels, a worked instrumentation example, and common migration mistakes.
- [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 system observable, maturity stages, and how to get started.
- [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, for engineering, SRE, and platform teams.
- [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 infrastructure monitoring for AI engineering teams.
- [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 differs from RUM, and when to use each.
- [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, naming rules, stability levels, and the HTTP, database, and Gen AI conventions you'll hit first.
- [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, OpenTelemetry support, storage efficiency, and self-hosted deployment options.
- [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 effective SLO-based alerting.
- [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, traces, and APM.
- [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 options, and cost trade-offs.
- [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, and migration. A full feature-by-feature breakdown for teams choosing an open-source, OpenTelemetry-native observability platform.
- [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, and migration guidance for DevOps and SRE teams.
- [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, native OTLP everywhere. This hands-on guide explains distributed tracing, walks through what changed in v2, deploys Jaeger v2.20 and the HotROD demo with Docker, and shows how the same OTLP traces flow into OpenObserve unchanged.
- [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 signals to track in production, and how OpenTelemetry GenAI semantic conventions standardize instrumentation.
- [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 respond faster.
- [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, self-hosting limits, OpenTelemetry support, and what the ClickHouse acquisition actually changed.
- [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, real self-hosting limits, and which tools survived a year of acquisitions.
- [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.
- [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 cardinality, long-term storage, and cost.
- [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, cause, and the human action behind a token spike.
- [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 numbers and real config examples for logs, metrics, and traces.
- [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 cost.
- [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, high-cardinality support, and deployment trade-offs.
- [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 deployment options.
- [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 tracking, evaluation frameworks, and unified infrastructure monitoring.
- [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, retention, and cost for modern DevOps and SRE teams.
- [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 telemetry, cardinality handling, and cost trade-offs.
- [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 solutions with our comprehensive guide.
- [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, alerting, incident management, SLO tracking, and chaos engineering.
- [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 migration guides, cost comparisons, and high-cardinality tracing analysis.
- [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 complete guide.
- [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 intelligent incident response.
- [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 unified observability for logs, metrics, and traces.
- [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 best Dynatrace alternatives in 2026 from open-source platforms to enterprise SaaS tools.
- [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 modern DevOps teams.
- [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 teams.
- [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 the same way, with DocGen writing our docs and the Council of Agents writing and healing our end-to-end tests. This is the story of moving both out of "a human runs this locally" and into CI, where they now fire on their own: giving agents a browser, an ingestion API, and a real running instance so they can build, seed, click, and verify the tedious work instead of asking a person to grind through it.
- [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 engineering and SRE teams.
- [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. 140x lower storage costs, unified logs, metrics, and traces.
- [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 benchmarking and comparison of storage, CPU, RAM, and query 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 file size and enabling footer cache drove a 25× speedup by slashing S3 requests from 10,000+ to ~600.
- [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 full control. Helm configs, multi-cluster routing, retention math.
- [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 debugging with OpenObserve MCP.
- [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 n8n webhooks.
- [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 cases, and a 2-minute setup guide.
- [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 RUM with 60–98% lower costs.
- [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, and backend architecture choices.
- [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 traces, metrics, logs, and a hands-on RAG instrumentation walkthrough.
- [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, costs, and more.
- [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 traditional thresholds miss.
- [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%. Learn how log clustering, trace correlation, and LLM-powered RCA work
- [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 modern teams achieve faster incident resolution with intelligent detection, triage, diagnosis, and remediation
- [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 cases, and how observability data drives intelligent operations.
- [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 sampling, and memory-bounded LRU caches to process 361,000 logs/sec in real-time.
- [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 Vitals tracking (LCP, INP, CLS), error detection, and SQL-based user analytics.
- [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 engineering teams rely on correlated telemetry to reduce MTTR and eliminate blind spots in distributed systems.
- [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 reduced feature analysis time from 60 minutes to 5 minutes, eliminated 85% of flaky tests, grew test coverage from 380 to 700+ tests, and caught a production bug before customers reported it. This deep dive reveals the architecture, real-world impact, and lessons learned from building an autonomous QA team that doesn't just automate testing - it amplifies quality.
- [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 cost-efficient, unified observability pipelines without extra infrastructure.
- [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 and OpenObserve simultaneously. The results: DataDog costs $174/day vs OpenObserve's $3/day-98% cost savings without sacrificing visibility. Evereve achieved similar results: 90% cost reduction, platform consolidation, and unlimited instrumentation after migrating from DataDog.
- [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 SQL-based unified alerts, composite conditions with joins, and Jinja2-templated notifications. Real test data shows custom metric pricing impact on alert coverage versus flat-rate pricing with comprehensive alerting capabilities.
- [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 queries, ECharts custom charts, and community dashboard library. Real test data shows 98% cost savings ($174/day vs $3/day) with identical dashboard capabilities and OpenTelemetry-native architecture.
- [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 workflows.
- [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 from 30 minutes to under 5 minutes.
- [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 data.
- [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 real-time observability.
- [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, high-performance monitoring at 60-90% and lower cost.
- [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 creation. Cut through alert fatigue with SLO-based prioritization and Actions automation.
- [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, and correlation limitations.
- [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 optimization, and resilience using OpenObserve.
- [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 tools.
- [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 auto-instrumentation across Go, Node.js, Java, Python, and .NET using OpenTelemetry and OpenObserve.
- [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 dashboards.
- [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, configure dashboards, and establish best practices for tracking Retool app errors.
- [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 security monitoring.
- [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 automation.
- [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 interpret GC log patterns and use OpenObserve for practical monitoring and analysis.
- [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 insights and improved troubleshooting.
- [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, troubleshooting, and compliance. Get insights into performance monitoring and security with OpenObserve.
- [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 troubleshooting and system visibility.
- [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, configuration, and visualization of repository analytics, PR metrics, and contributor statistics. Perfect for DevOps teams looking to gain deeper insights into their development workflows and improve productivity with data-driven decisions.
- [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 applications.
- [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 raw logs into structured formats using VRL functions, efficiently route logs based on conditions, and pre-aggregate metrics to improve performance. This in-depth guide covers step-by-step implementation, from ingesting logs to building powerful OpenObserve Pipelines for seamless log management and analytics. Perfect for DevOps, SREs, and observability engineers looking to enhance log processing workflows.
- [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 started with OpenTelemetry, and best practices for implementation.
- [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 traces, metrics, and logs, and visualizing data in OpenObserve for complete observability.
- [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 visualization, and monitoring with OpenObserve.
- [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 application performance.
- [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. This step-by-step guide covers IAM policies, S3 event setup, and automated cost analysis to help you optimize AWS spending.
- [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, user experience optimization, and streamlined compliance.
- [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 analysis using OpenObserve for actionable insights.
- [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 integrate Falco with OpenTelemetry for comprehensive security monitoring.
- [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 Check Receiver and visualize data in OpenObserve dashboards for actionable insights.
- [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 performance with this step-by-step guide."
- [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, ProvisioningLogs, NetworkAccessTrafficLogs, and RiskyServicePrincipals. This guide explores setting up robust log monitoring to enhance security, track critical events, ensure compliance, and gain actionable insights into your Microsoft 365 environment.
- [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 and security dashboards for real-time observability and enhanced insights.
- [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 enhanced system monitoring and security.
- [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 integration best practices to optimize cloud monitoring and performance.
- [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 storage
- [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 Lambda to ingest them into OpenObserve for enhanced security observability.
- [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 optimize your microservices architecture with OpenObserve.
- [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 Otel Python SDK.
- [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 settings.
- [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 management with step-by-step instructions and practical examples.
- [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 data for scalable observability. This guide covers how to leverage Prometheus for insightful monitoring, making it easier to ensure system performance and reliability at scale. Perfect for DevOps engineers and observability enthusiasts, this blog provides actionable insights on maximizing Prometheus capabilities to enhance your infrastructure monitoring.
- [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 performance and rapid troubleshooting in Kubernetes environments.
- [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 building a React User Portal and integrating OpenObserve RUM to track frontend performance metrics and user interactions for optimized insights.
- [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, troubleshoot issues, and optimize your distributed architecture.
- [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 streamlining your logging process.
- [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 comprehensive guide.
- [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 key features like customizable panels and dynamic filtering for enhanced application performance monitoring.
- [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 design, functionality, and use cases.
- [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 for Journald.
- [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 logs, and optimize performance, while unifying logs, traces, and metrics for better observability.
- [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, including setting up the project, configuring OpenObserve integration, and observing logs in OpenObserve.
- [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, the comparative strengths and weaknesses of both tools, and the impact of this change on our user experience and technical operations
- [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 by Mark Percival. This integration offers developers an efficient way to capture logs, enabling long-term analysis to detect build patterns and improve CI/CD pipelines. Dive into the benefits of continuous data monitoring and how it can revolutionize your software delivery process.
- [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 Kaminski-Pawlak, the sink allows for effortless logging to OpenObserve, thereby enhancing the ability to store, analyze, and manage logs.
- [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 storage costs compared to Elasticsearch. Use cases include real-life log data, significantly reduces operational costs, and improves ease of use. It can scale to petabytes of data, is highly performant, and allows you to sleep better at night 😴. If you are looking for an observability tool for logs, metrics, and traces, take a look at OpenObserve and how its approach towards observability could help you build better software and save money on observability costs.

## 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, validation, and common mistakes.
- [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, and send the full multi-agent trace to OpenObserve.
- [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 off Helicone's proxy and onto OpenObserve: replace the base-URL proxy with OpenTelemetry instrumentation, map Properties, Users, and Sessions to gen_ai attributes, and get infra correlation in the same backend.
- [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 team sees the same Home tab, server-side and across devices.
- [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 PII, enrich sessions with business context, and stitch frontend events to backend traces.
- [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, and CCPA compliant.
- [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 OpenObserve.
- [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 numbers, and function names. Covers setup, CI/CD integration, and troubleshooting.
- [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 alert on anomalies in OpenObserve.
- [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 attribution, VRL-powered span enrichment, real-time alerting, and AI agent cost observability.
- [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 efficiently.
- [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 see in session replays, query with SQL, and alert on.
- [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 OpenTelemetry to ensure reliability, transparency, and control at scale.
- [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 auto-instrumentation, JVM metrics, cross-service trace propagation, flamegraphs, and Gantt charts , with working source code and curl examples.
- [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 response.
- [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 components, configuration examples, and practical deployment tips.
- [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, step-by-step guides, and troubleshooting tips.
- [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 alerts.
- [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 Kubernetes clusters. Get unified observability with significant cost savings compared to Azure Log Analytics.
- [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 alerts for Azure VMs, AKS, and other resources.
- [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 automatically capture traces from AWS SDK calls and send them to OpenObserve without writing any instrumentation code. Get full visibility into your serverless applications with open standards.
- [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 openobserve actions with deduplication support.
- [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 at ingestion or query time for full GDPR and HIPAA compliance.
- [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 large-scale log data
- [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 internal metrics exposed in Prometheus format. This guide walks through best practices, setup steps, and configuration examples.
- [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 configuring the filelog receiver, deploying changes with Helm, and verifying proper ingestion in OpenObserve. Improve log readability and troubleshooting with practical examples and solutions.
- [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 production.
- [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 Kinesis Firehose for seamless log streaming.
- [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. Learn what anomaly detection is, how OpenObserve streamlines monitoring, and step-by-step instructions for setting up a robust anomaly detection system. Discover common challenges, troubleshooting tips, and best practices for scalable, cost-effective anomaly detection solutions.
- [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 configuration, troubleshooting tips, and best practices for enterprise observability solutions.
- [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, and reconciliation performance.
- [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 container monitoring.
- [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 and pre-built dashboards to optimize your Oracle database monitoring.
- [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 how to implement real-time error tracking, performance monitoring, and troubleshooting capabilities using structured logging techniques that scale with your application. Perfect for PHP developers looking to enhance application reliability and gain actionable insights from their logs.
- [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 a PagerDuty service, create alert templates in OpenObserve, configure webhook destinations, and test your integration. Perfect for DevOps engineers, SREs, and IT professionals looking to streamline their alerting workflow and improve response times to critical issues.
- [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 practices for effective monitoring.
- [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, setting up OpenTelemetry for real-time Kafka monitoring, configuring dashboards, and tracking key Kafka metrics like brokers, consumer groups, partition offsets, replicas, and message rates. Discover the benefits of monitoring Kafka with OpenObserve, including automated alerts, performance insights, and data integrity checks. Optimize your Kafka infrastructure with proactive monitoring and real-time observability-boost system reliability, detect issues early, and scale efficiently.
- [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 monitoring included.
- [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 step-by-step guide to set up Azure AD authentication with Dex. Enhance security, streamline user access, and optimize performance with this modern authentication approach.
- [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 your messaging infrastructure with our comprehensive guide.
- [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, performance, and compliance.
- [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 visualize insights with pre-built dashboards.
- [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, why OIDC is recommended over SAML, and follow a step-by-step guide to set up Azure AD authentication with Dex. Enhance security, streamline user access, and optimize performance with this modern authentication approach.
- [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 ingestion and OpenTelemetry configuration for complete observability.
- [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, identify anomalies, and optimize data operations. This comprehensive tutorial covers everything from configuration to advanced monitoring techniques, ensuring robust observability and actionable insights into your Snowflake environment. Perfect for data engineers, DevOps teams, and analytics professionals seeking to enhance Snowflake monitoring efficiency with OpenTelemetry.
- [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, configuration, and metrics integration with OpenTelemetry for efficient Aerospike database monitoring.
- [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, configuration, and metrics integration with OpenTelemetry for efficient ZooKeeper monitoring.
- [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 for optimizing performance, enhancing security, and scaling database insights effectively.
- [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 metric stream, setting up a Kinesis data stream, and ingesting RDS metrics via OpenTelemetry for centralized monitoring. Perfect for managing multiple AWS accounts and ensuring optimal database performance.
- [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 logging, creating Lambda transformations, and visualizing data in OpenObserve for performance optimization, security monitoring, and actionable insights.
- [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, dashboards, and best practices for visualization and insights.
- [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 for critical system events
- [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, Kinesis Data Firehose, and policies to seamlessly send AWS CloudTrail logs, data events, and more to OpenObserve for analysis.
- [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 visualizations for cloud environments.
- [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 the benefits, setup, and verification of logs in OpenObserve, ensuring efficient monitoring, troubleshooting, and improved AWS log management. Perfect for DevOps engineers looking to streamline their log management strategy in the cloud.
- [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. Discover best practices to optimize Nginx performance, troubleshoot issues faster, and ensure high availability by gaining actionable visibility into your web server’s health.
- [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 instructions for capturing Jenkins logs, metrics, and traces to enhance CI/CD observability and optimize pipeline performance.
- [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, and tips for using Fluent Bit to centralize logs for real-time monitoring and troubleshooting.
- [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, troubleshooting, and optimizing your infrastructure, ensuring comprehensive visibility and compliance in your infrastructure-as-code deployments.
- [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 implementing reverse DNS lookups, enriching log data with domain information for improved network visibility and security insights.
- [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 insights into network patterns, detect anomalies, and improve the security and efficiency of your cloud environment. AWS VPC Flow Logs are a feature that allows you to capture information about the IP traffic going to and from network interfaces in your VPC. In this blog, we will discuss how to capture all fields of AWS VPC Flow Logs, send them to Kinesis Firehose, and then analyze them using OpenObserve's Logs UI and Dashboards..
- [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 `parse_syslog` function. In such cases, `parse_regex` can be used to extract meaningful data from syslog messages.
- [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 provide valuable insights into the performance and health of your web applications. In this blog, we will walk through the process of capturing IIS logs using the OpenTelemetry Collector (otel-collector), parsing them with Vector Remap Language (VRL), and sending them to OpenObserve for analysis.
- [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 (13)

- [Turn Reliability Into a Number: SLOs and Burn-Rate Alerts Are Here](https://openobserve.ai/blog/slos-and-alerts-release/): OpenObserve's reliability release: native SLOs with error budgets and multi-window burn-rate alerting, grouped alerts that track each host or metric series independently, and bidirectional Terraform and GitOps support for observability as code, managing alerts, dashboards, and SLOs as code.
- [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 no-code recorder or your own scripts, and Private Locations to reach internal endpoints, all landing in the same platform as your logs, metrics, and traces.
- [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 improvements across the service catalog, traces view, and log correlation.
- [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 detection.
- [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 means for Kubernetes teams everywhere.
- [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 he’s joining OpenObserve to break the cycle of expensive complexity and operational toil.
- [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, enhanced observability features, and significant UI/UX refinements. This release represents months of work focused on making OpenObserve more powerful, reliable, and user-friendly.
- [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 chance to win $300, exclusive swag, and a feature on the OpenObserve blog. Entries close November 21, 2025.
- [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 integration within their AWS infrastructure.
- [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 structure charges $0.30 per GB for log, metric, and trace ingestion, with additional fees for queries, pipelines, and advanced features like RUM and error tracking. Existing free-tier customers receive a 30-day exemption period, while current standard-tier customers will have their flat monthly fees removed after 30 days. New customers can access a 14-day free trial. The company emphasizes that their open-source version remains completely free for self-hosting, providing users with flexibility to choose between managed cloud services or self-managed deployments. This pricing change aims to create a more transparent, scalable cost structure that aligns charges with actual resource consumption while supporting OpenObserve's continued development and platform improvements.Description - OpenObserve announces usage-based pricing starting June 2025. Free tier ends, pay-as-you-go begins at $0.30/GB ingestion. 30-day transition period for existing users. Self-hosting remains free.
- [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, the goal was simple yet ambitious: to build an open-source observability platform that is easier, faster, and dramatically more cost-effective than anything out there.

## 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 automatic Log Pattern extraction that groups millions of logs into actionable insights. This release brings significant performance improvements with optimized indexing and query execution, alongside UI/UX refinements that enhance readability and usability across the platform. Teams can now better understand their system behavior, reduce alert fatigue through deduplication, and troubleshoot issues faster with comprehensive execution history and diagnostics.
- [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 range and VRL support, and optimized performance. Experience next-level observability with these powerful updates and more in OpenObserve 0.13.1-rc1.

## Customer Stories (8)

- [How Uno.ai Unified Observability Across Three Clouds and Cut Costs from Day One with OpenObserve](https://openobserve.ai/customer-stories/uno-ai-customer-story/): An observability customer story showcasing how Uno.ai, an AI-native agentic platform for GRC and enterprise risk, unified telemetry across GCP, AWS, and Azure while curbing rising cloud-native monitoring costs with OpenObserve.
- [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 their TCO.
- [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