Monitoring Integrations - Cloud, Infrastructure, AI & Application Observability
OpenObserve provides comprehensive monitoring integrations to collect logs, metrics, and traces from cloud platforms, infrastructure, databases, AI frameworks, and applications. These integration guides enable Kubernetes monitoring, AWS monitoring, AI/LLM observability, database monitoring, cloud observability, infrastructure monitoring, and application performance monitoring across your entire technology stack.
Monitor Kubernetes clusters, AWS services, LLM providers (OpenAI, Anthropic, Gemini), AI frameworks (LangChain, CrewAI, LlamaIndex), databases (MySQL, PostgreSQL, MongoDB), message brokers (Kafka), web servers (NGINX), and more with unified observability for cloud-native and AI applications.
Available Integration Guides
AI & LLM Observability
- AI Frameworks: LangChain, CrewAI, LlamaIndex, AutoGen, and 30+ more
- LLM Providers: OpenAI, Anthropic, Gemini, Mistral, Ollama, and more
- AI Gateways: Portkey, LiteLLM Proxy, OpenRouter, Kong, and more
- No-Code AI Tools: n8n, Flowise, LangFlow, OpenWebUI, and more
- AI Developer Tools: Promptfoo, Milvus, Firecrawl, PostHog, and more
- Model Context Protocol (MCP): Query OpenObserve from AI agents and IDEs
Cloud
Infrastructure & Systems
Databases
- Database Integrations: MySQL, PostgreSQL, MongoDB, Redis, and more
DevOps & CI/CD
Messaging & Data Pipelines
Security
eBPF profiler
Capture on-CPU and off-CPU profiles for Java HotSpot, Go, Rust, and other runtimes with otelcol-ebpf-profiler and export OTLP Profiles to OpenObserve.
AI
AI and LLM observability with OpenObserve: trace AI frameworks, LLM providers, AI gateways, no-code tools, and AI developer tools via OpenTelemetry.