Troubleshooting Kubernetes: From Alert to Root Cause
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.
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.
Instrument Claude Code with OpenTelemetry, ship usage and cost data to OpenObserve, then query it back from Claude Code via the OpenObserve MCP server.
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.
Trace, meter, and log Claude Agent SDK agents with OpenTelemetry: tool calls, MCP servers, extended thinking, and cost, all correlated in OpenObserve.
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.
A practical comparison of the 10 best microservices monitoring tools in 2026, including OpenObserve, Grafana LGTM, Datadog, Dynatrace, and more. Find the right fit for your stack.
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 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.
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.
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 make AI agents observable in production: OTel instrumentation, telemetry backends, cost tracking, and trace analysis.
How to monitor n8n workflows with Prometheus metrics and OpenTelemetry tracing using OpenObserve. Covers self-hosted n8n and instrumenting services that call n8n webhooks.
A comprehensive list and comparison of observability backends that support OpenTelemetry and OTLP, covering open-source, commercial, and cloud-native options.
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.
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.
Compare the best distributed tracing tools in 2026. Learn how Jaeger, Grafana Tempo, Zipkin, Honeycomb, Datadog APM, and OpenObserve help you debug and monitor distributed systems.
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.
OpenTelemetry is free, but your observability backend is not. Learn practical strategies for observability cost reduction using sampling, filtering, retention, and backend architecture choices.
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.
A complete guide to OpenTelemetry: what it is, how the Collector and OTLP work, and how to instrument your first service.
