Troubleshooting Kubernetes: From Alert to Root Cause
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.
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.
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.
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.
Elasticsearch was built for search, not logs. Learn how to migrate your ELK log pipeline to OpenObserve using OTel Collector or Fluent Bit.
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.
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.
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.
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.
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.
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.
