Getting Started with OpenObserve
Langfuse vs LangSmith vs OpenObserve compared: tracing, evals, self-hosting, and pricing, plus when a unified platform beats a point tool.
LLM evals score output quality; observability records system behavior. What each catches, what each misses alone, and how to score production traffic.
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.
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.
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.
A complete OpenTelemetry overview: architecture, components, OTLP, and the Collector, plus what its 2026 CNCF graduation means.
OpenObserve returned a pod-level log search in 71 ms against ClickHouse's 989 ms on 1 billion rows, and 141 ms against 14.2 seconds when the cache was cold on gp3. The full comparison covers query latency on two disk tiers, storage architecture, schema evolution, and operational tradeoffs.
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.
OpenObserve vs Langfuse in 2026: unified infra+LLM observability vs a dedicated LLM platform. Feature matrix, pricing, and when to use each (or both).
A producer-side guide to instrumenting your own MCP server with OpenTelemetry: tracing tools/call, propagating context via _meta, and deriving RED metrics.
Instrument Claude Code with OpenTelemetry, ship usage and cost data to OpenObserve, then query it back from Claude Code via the OpenObserve MCP server.
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.
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.
Learn how to add distributed tracing to LangChain and LlamaIndex apps using OpenLLMetry and the OpenTelemetry SDK, with traces flowing into OpenObserve.
