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.
DataDog vs OpenObserve APM comparison: $120/day LLM charge, SQL trace dashboards, OTel native, service dependency mapping, and 60-90% cost savings with real data.
DataDog vs OpenObserve metrics comparison: PromQL support, high-cardinality handling, custom metrics auto-generation, and 60-90% cost savings with real data.
Learn how to implement distributed tracing for AWS Lambda using the AWS Distro for OpenTelemetry (ADOT) layer. This step-by-step guide shows you how to automatically capture traces from AWS SDK calls and send them to OpenObserve without writing any instrumentation code. Get full visibility into your serverless applications with open standards.
Discover how full-stack observability helps teams correlate telemetry across systems to cut MTTR, reduce data costs, and improve performance.
Learn how to add complete observability to your microservices for distributed tracing without changing a single line of code. This hands-on demo shows auto-instrumentation across Go, Node.js, Java, Python, and .NET using OpenTelemetry and OpenObserve.
Discover how to effectively handle multi-line log events, such as application stack traces, using OpenObserve Collector. This comprehensive guide covers configuring the filelog receiver, deploying changes with Helm, and verifying proper ingestion in OpenObserve. Improve log readability and troubleshooting with practical examples and solutions.
Deploy the OpenTelemetry Astronomy Shop demo and stream traces, metrics, and logs to OpenObserve with Helm. Easily configure OTLP and visualize everything in dashboards.
This guide explains OpenTelemery OTLP Exporters, provides an overview and setup with simple step-by-step instructions.
Learn how to implement effective SNMP monitoring using OpenTelemetry and OpenObserve. Monitor network devices, servers, and infrastructure with real-time insights and improved troubleshooting.
Learn how to set up real-time GitHub metrics monitoring using OpenTelemetry Collector and OpenObserve. This step-by-step guide covers installation, configuration, and visualization of repository analytics, PR metrics, and contributor statistics. Perfect for DevOps teams looking to gain deeper insights into their development workflows and improve productivity with data-driven decisions.
Learn how to monitor Docker container metrics using OpenTelemetry and OpenObserve. Collect CPU, memory, network, and disk metrics without modifying your applications.
