Getting Started with OpenObserve
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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.
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.
A side-by-side comparison of Grafana and Datadog on pricing and features, and where OpenObserve fits as a unified alternative to both.
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.
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.
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, 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.
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.
A complete, practical guide to OpenTelemetry Collector configuration: YAML file structure, receivers, processors, exporters, pipelines, environment variables, validation, and common mistakes.
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 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.
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.
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.
Error budgets explained: how they work, how to write an error budget policy, and what actually happens when the budget runs out.
Langfuse vs LangSmith vs OpenObserve compared: tracing, evals, self-hosting, and pricing, plus when a unified platform beats a point tool.
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.
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.
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.
Best log monitoring and management tools for 2026, open source and commercial - plus when you need a SIEM and when log management is enough.
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 score output quality; observability records system behavior. What each catches, what each misses alone, and how to score production traffic.
