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.
Learn how to add distributed tracing to LangChain and LlamaIndex apps using OpenLLMetry and the OpenTelemetry SDK, with traces flowing into OpenObserve.
Discover the essential LLM monitoring best practices to ensure reliability, safety, and performance in production. Learn how to track hallucinations, latency, costs, and more.
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.
Learn how AI-assisted monitoring using MCP enhances observability with intelligent alerts, anomaly detection, and automated insights for faster incident response.
Observability vs monitoring explained. Learn the key differences, use cases, and why modern teams move beyond monitoring to observability.
A complete guide to full stack observability - covering frontend, backend, infrastructure, traces, logs, metrics, and OpenTelemetry for DevOps and SRE teams.
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.
A comprehensive comparison of the top 10 observability platforms in 2026 highlighting their strengths, trade-offs, and use-cases.
