# Connect anything. Observe everything.

> 100+ OpenTelemetry-native integrations for logs, metrics, and traces: AI/LLM frameworks, cloud, Kubernetes, databases, and more, in one place.

Source: https://openobserve.ai/integrations/

---

OpenObserve ships 100+ OpenTelemetry-native integrations covering frontend, AI and LLM frameworks, APIs, applications, databases, networks, and cloud infrastructure. Logs, metrics, and traces from every layer of your stack land in one place, and because ingestion is OTLP-first, any tool that emits OpenTelemetry works today without a proprietary agent.

## Integration categories

- **Custom**: Logs, Traces
- **AI & LLM**: AI Frameworks & Agents, Model Providers, AI Gateways & Proxies, No-Code Platforms, Tools & Integrations
- **Cloud**: AWS, GCP, Azure, Edge & PaaS
- **Infrastructure**: Containers, Web Server, Operating System, CI/CD
- **Databases**: Relational Database, NoSQL Database, In-Memory Store, Cloud Data Warehouse, Tools
- **Operating System**: Operating System
- **Application**: Languages & Frameworks, Message Queue, Security, Network, Metrics
- **Frontend**: Frontend

## All integrations (168)

### Frontend (1)

- [Real User Monitoring (RUM)](https://openobserve.ai/blog/real-user-monitoring-and-frontend-performance/): Monitor real user interactions and performance in real time.

### Traces (1)

- [OpenTelemetry](https://openobserve.ai/docs/ingestion/logs/otlp/): The native path. Any signal, any language.

### Logs (8)

- [Curl](https://openobserve.ai/docs/ingestion/logs/curl/): Push log lines straight in with a single HTTP call.
- [ElasticSearch](https://openobserve.ai/blog/from-elasticsearch-to-openobserve-streaming-log-management/): Ship logs from your existing ElasticSearch pipelines.
- [Vector](https://openobserve.ai/docs/ingestion/logs/vector/): High-throughput log and metric pipeline.
- [Fluent Bit](https://openobserve.ai/docs/ingestion/logs/fluent-bit/): Lightweight log forwarding for any host.
- [Fluentd](https://openobserve.ai/docs/ingestion/logs/fluentd/): Unified logging layer with 1000+ plugins.
- [Filebeat](https://openobserve.ai/docs/ingestion/logs/filebeat/): Ship logs from existing Elastic agents.
- [Kinesis Firehose](https://openobserve.ai/docs/ingestion/logs/kinesis-firehose/): Stream AWS data directly, no buffer hops.
- [Syslog](https://openobserve.ai/docs/ingestion/logs/syslog/): Ingest classic syslog over TCP/UDP.

### Metrics (2)

- [Prometheus](https://openobserve.ai/docs/ingestion/metrics/prometheus/): Scrape or remote-write metrics straight in.
- [Telegraf](https://openobserve.ai/docs/ingestion/metrics/telegraf/): Plugin-driven metrics from anywhere.

### Model Providers (20)

- [OpenAI (Python)](https://openobserve.ai/docs/integration/ai/providers/openai/): Token usage, latency, and cost per call.
- [Anthropic (Python)](https://openobserve.ai/docs/integration/ai/providers/anthropic/): Trace Claude calls with full token accounting.
- [Amazon Bedrock](https://openobserve.ai/docs/integration/ai/providers/amazon-bedrock/): Trace foundation-model invocations.
- [Mistral](https://openobserve.ai/docs/integration/ai/providers/mistral/): Span-level traces for every completion.
- [Ollama](https://openobserve.ai/docs/integration/ai/providers/ollama/): Local model traces - nothing leaves the host.
- [DeepSeek](https://openobserve.ai/docs/integration/ai/providers/deepseek/): Prompt, completion, and cost telemetry.
- [OpenAI (JS/TS)](https://openobserve.ai/docs/integration/ai/providers/openai-js/): JavaScript SDK calls, fully instrumented.
- [OpenAI Assistants](https://openobserve.ai/docs/integration/ai/providers/openai-assistants/): Trace assistant runs and tool calls.
- [Anthropic (JS/TS)](https://openobserve.ai/docs/integration/ai/providers/anthropic-js/): TypeScript-first Claude tracing via OTel.
- [Cohere](https://openobserve.ai/docs/integration/ai/providers/cohere/): Token cost and latency per generation.
- [Groq](https://openobserve.ai/docs/integration/ai/providers/groq/): Sub-second inference, fully traced.
- [Hugging Face](https://openobserve.ai/docs/integration/ai/providers/huggingface/): Trace inference endpoints and pipelines.
- [vLLM](https://openobserve.ai/docs/integration/ai/providers/vllm/): Self-hosted serving, span by span.
- [Together AI](https://openobserve.ai/docs/integration/ai/providers/together-ai/): Token and latency metrics per call.
- [Fireworks AI](https://openobserve.ai/docs/integration/ai/providers/fireworks/): Fast inference with full trace context.
- [xAI Grok](https://openobserve.ai/docs/integration/ai/providers/xai-grok/): Capture every Grok completion.
- [Cerebras](https://openobserve.ai/docs/integration/ai/providers/cerebras/): Ultra-fast inference, fully traced.
- [Novita](https://openobserve.ai/docs/integration/ai/providers/novita/): Trace Novita-hosted model completions.
- [CometAPI](https://openobserve.ai/docs/integration/ai/providers/cometapi/): Track experiment metrics and LLM calls.
- [BytePlus](https://openobserve.ai/docs/integration/ai/providers/byteplus/): Trace BytePlus model inferences end to end.

### AI Frameworks & Agents (42)

- [Google Gemini](https://openobserve.ai/docs/integration/ai/providers/google-gemini/): Prompts, completions, and latency.
- [LangChain](https://openobserve.ai/docs/integration/ai/frameworks/langchain/): Trace every chain, tool, and LLM step.
- [LlamaIndex](https://openobserve.ai/docs/integration/ai/frameworks/llamaindex/): Trace retrieval and synthesis steps.
- [CrewAI](https://openobserve.ai/docs/integration/ai/frameworks/crewai/): Multi-agent traces, agent by agent.
- [AutoGen](https://openobserve.ai/docs/integration/ai/frameworks/autogen/): Capture agent conversations end to end.
- [Semantic Kernel](https://openobserve.ai/docs/integration/ai/frameworks/semantic-kernel/): Trace plugins and planner steps.
- [Haystack](https://openobserve.ai/docs/integration/ai/frameworks/haystack/): Trace pipelines from query to answer.
- [Pydantic AI](https://openobserve.ai/docs/integration/ai/frameworks/pydantic-ai/): Typed agent runs, fully instrumented.
- [Vercel AI SDK](https://openobserve.ai/docs/integration/ai/frameworks/vercel-ai-sdk/): Trace streamed responses and tools.
- [Spring AI](https://openobserve.ai/docs/integration/ai/frameworks/spring-ai/): JVM-native LLM tracing.
- [DSPy](https://openobserve.ai/docs/integration/ai/frameworks/dspy/): Trace compiled prompts and modules.
- [Smolagents](https://openobserve.ai/docs/integration/ai/frameworks/smolagents/): Lightweight Hugging Face agents, traced.
- [Instructor](https://openobserve.ai/docs/integration/ai/frameworks/instructor/): Structured output extraction, fully traced.
- [OpenAI Agents](https://openobserve.ai/docs/integration/ai/frameworks/openai-agents/): Trace tool calls and handoffs.
- [LangGraph](https://openobserve.ai/docs/integration/ai/frameworks/langgraph/): Visualize graph state across nodes.
- [Mastra](https://openobserve.ai/docs/integration/ai/frameworks/mastra/): TypeScript agent traces.
- [Temporal](https://openobserve.ai/docs/integration/ai/frameworks/temporal/): Durable workflow execution traces.
- [Agno](https://openobserve.ai/docs/integration/ai/frameworks/agno/): Lightweight agent framework, traced end to end.
- [Voltagent](https://openobserve.ai/docs/integration/ai/frameworks/voltagent/): Trace Volt agent interactions end to end.
- [Strands Agents](https://openobserve.ai/docs/integration/ai/frameworks/strands-agents/): Span-level agent observability.
- [Google ADK](https://openobserve.ai/docs/integration/ai/frameworks/google-adk/): Agent Development Kit traces.
- [Amazon Bedrock AgentCore](https://openobserve.ai/docs/integration/ai/frameworks/amazon-bedrock-agentcore/): Trace Bedrock agent orchestration.
- [Amazon Bedrock Agents](https://openobserve.ai/docs/integration/ai/frameworks/amazon-bedrock-agents/): Multi-agent Bedrock traces per action group.
- [BeeAI](https://openobserve.ai/docs/integration/ai/frameworks/beeai/): Trace BeeAI agent workflows step by step.
- [Claude Agent SDK](https://openobserve.ai/docs/integration/ai/frameworks/claude-agent-sdk/): Trace Claude-powered autonomous agents.
- [DeepAgents](https://openobserve.ai/docs/integration/ai/frameworks/deepagents/): Observe deep reasoning agents end to end.
- [LangServe](https://openobserve.ai/docs/integration/ai/frameworks/langserve/): Deployed LangChain chains, fully traced.
- [LiteLLM](https://openobserve.ai/docs/integration/ai/frameworks/litellm/): Call any LLM with a single API, traced.
- [LiveKit](https://openobserve.ai/docs/integration/ai/frameworks/livekit/): Real-time voice and video agents, traced live.
- [LlamaIndex Workflows](https://openobserve.ai/docs/integration/ai/frameworks/llamaindex-workflows/): Trace multi-step RAG workflows end to end.
- [Microsoft Agent Framework](https://openobserve.ai/docs/integration/ai/frameworks/microsoft-agent-framework/): Trace .NET agent orchestration.
- [Mirascope](https://openobserve.ai/docs/integration/ai/frameworks/mirascope/): Pythonic LLM calls, automatically traced.
- [Pipecat](https://openobserve.ai/docs/integration/ai/frameworks/pipecat/): Voice-agent pipelines, traced live.
- [Quarkus LangChain4j](https://openobserve.ai/docs/integration/ai/frameworks/quarkus-langchain4j/): JVM-native LLM tracing for Quarkus apps.
- [Ragas](https://openobserve.ai/docs/integration/ai/frameworks/ragas/): RAG evaluation runs, fully traced.
- [Restate](https://openobserve.ai/docs/integration/ai/frameworks/restate/): Durable async workflows, traced end to end.
- [Swiftide](https://openobserve.ai/docs/integration/ai/frameworks/swiftide/): Rust-native RAG pipelines, fully traced.
- [Koog](https://openobserve.ai/docs/integration/ai/frameworks/koog/): Trace Koog agent decision loops.
- [Claude Code](https://openobserve.ai/docs/integration/ai/claude-code-tracing/): Trace agentic coding sessions.
- [Cursor](https://openobserve.ai/docs/): Trace Cursor AI coding sessions.
- [Opencode](https://openobserve.ai/docs/): Trace Opencode agentic sessions.
- [OpenAI Codex](https://openobserve.ai/docs/): Trace OpenAI Codex coding agent sessions.

### AI Gateways & Proxies (6)

- [LiteLLM Proxy](https://openobserve.ai/docs/integration/ai/gateways/litellm-proxy/): Unify and trace 100+ model APIs.
- [Portkey](https://openobserve.ai/docs/integration/ai/gateways/portkey/): Gateway-level traces and cost control.
- [OpenRouter](https://openobserve.ai/docs/integration/ai/gateways/openrouter/): Route and trace across providers.
- [Kong Gateway](https://openobserve.ai/docs/integration/ai/gateways/kong-gateway/): AI traffic, traced at the gateway.
- [Vercel AI Gateway](https://openobserve.ai/docs/integration/ai/gateways/vercel-ai-gateway/): Edge routing with full traces.
- [Anannas](https://openobserve.ai/docs/integration/ai/gateways/anannas/): AI gateway routing, fully traced.

### No-Code Platforms (7)

- [n8n](https://openobserve.ai/docs/integration/ai/no-code/n8n/): Trace AI workflows step by step.
- [Flowise](https://openobserve.ai/docs/integration/ai/no-code/flowise/): Visual LLM flows, fully instrumented.
- [Langflow](https://openobserve.ai/docs/integration/ai/no-code/langflow/): Trace drag-and-drop LLM flows.
- [Vapi](https://openobserve.ai/docs/integration/ai/no-code/vapi/): Voice AI agent calls, traced end to end.
- [LobeChat](https://openobserve.ai/docs/integration/ai/no-code/lobechat/): Self-hosted chat platform, fully traced.
- [Codename Goose](https://openobserve.ai/docs/integration/ai/no-code/codename-goose/): No-code AI builder, fully instrumented.
- [Open WebUI](https://openobserve.ai/docs/integration/ai/no-code/openwebui/): Self-hosted chat, fully traced.

### Tools & Integrations (16)

- [Promptfoo](https://openobserve.ai/docs/integration/ai/tools/promptfoo/): Eval runs with full trace context.
- [Milvus](https://openobserve.ai/docs/integration/ai/tools/milvus/): Vector-search latency and recall.
- [PostHog](https://openobserve.ai/docs/integration/ai/tools/posthog/): Product analytics joined to traces.
- [Zapier](https://openobserve.ai/docs/integration/ai/tools/zapier/): Trace automated AI actions.
- [Cognee](https://openobserve.ai/docs/integration/ai/tools/cognee/): Memory layer for agents, fully traced.
- [Exa](https://openobserve.ai/docs/integration/ai/tools/exa/): AI search API calls, fully traced.
- [Firecrawl](https://openobserve.ai/docs/integration/ai/tools/firecrawl/): Web scraping pipelines, fully traced.
- [Gradio](https://openobserve.ai/docs/integration/ai/tools/gradio/): ML demo apps, fully instrumented.
- [LibreChat](https://openobserve.ai/docs/integration/ai/tools/librechat/): Open-source chat UI, fully traced.
- [MCP Use](https://openobserve.ai/docs/integration/ai/tools/mcp-use/): MCP client-server interactions, traced.
- [Mixpanel](https://openobserve.ai/docs/integration/ai/tools/mixpanel/): Product analytics events, fully traced.
- [Parallel](https://openobserve.ai/docs/integration/ai/tools/parallel/): Parallel LLM execution, traced end to end.
- [Trubrics](https://openobserve.ai/docs/integration/ai/tools/trubrics/): LLM evaluation and user feedback, traced.
- [MCP Server](https://openobserve.ai/docs/integration/ai/mcp/): Query observability from any AI agent.
- [MCP Claude](https://openobserve.ai/docs/integration/ai/mcp/claude/): Claude MCP server interactions, traced.
- [LLM Applications](https://openobserve.ai/docs/integration/ai/llm-applications/): End-to-end LLM app observability guide.

### AWS (16)

- [AWS](https://openobserve.ai/docs/integration/cloud/aws/quick-setup/): Logs and metrics from 15+ AWS services.
- [Amazon EC2](https://openobserve.ai/docs/integration/cloud/aws/ec2/): Instance logs and host-level metrics.
- [Application Load Balancer](https://openobserve.ai/docs/integration/cloud/aws/alb/): Ingest ALB access logs for HTTP traffic observability.
- [Amazon VPC Flow Logs](https://openobserve.ai/docs/integration/cloud/aws/vpc-flow/): Network flows for cost and forensics.
- [Amazon Cognito](https://openobserve.ai/docs/integration/cloud/aws/cognito/): Auth events and sign-in logs.
- [AWS Network Firewall](https://openobserve.ai/docs/integration/cloud/aws/network-firewall/): Allow/deny traffic, fully logged.
- [AWS CloudWatch Logs](https://openobserve.ai/docs/integration/cloud/aws/cloudwatch-logs/): Stream CloudWatch logs in - no agent.
- [AWS CloudWatch Metrics](https://openobserve.ai/docs/integration/cloud/aws/cloudwatch-metrics/): Pull metrics straight from the API.
- [Amazon RDS](https://openobserve.ai/docs/integration/cloud/aws/rds/): Slow queries and engine metrics.
- [AWS Lambda](https://openobserve.ai/docs/integration/cloud/aws/lambda/): Cold starts, duration, and error rates.
- [Amazon ECS](https://openobserve.ai/docs/integration/cloud/aws/ecs/): Container task logs and metrics.
- [AWS Route 53](https://openobserve.ai/docs/integration/cloud/aws/route-53/): DNS query logging and health.
- [AWS WAF](https://openobserve.ai/docs/integration/cloud/aws/waf/): Inspect blocked and allowed requests.
- [AWS API Gateway](https://openobserve.ai/docs/integration/cloud/aws/api-gateway/): Request logs and latency per route.
- [Amazon CloudFront](https://openobserve.ai/docs/integration/cloud/aws/cdn/): Edge access logs at global scale.
- [Amazon EventBridge](https://openobserve.ai/docs/integration/cloud/aws/eventbridge/): Capture and route event-bus traffic.

### GCP (2)

- [GCP Logs](https://openobserve.ai/docs/integration/cloud/gcp/gcp-logs/): Logs and metrics across GCP.
- [Google Cloud Run](https://openobserve.ai/docs/integration/cloud/gcp/cloud-run/): Request logs and container metrics.

### Azure (2)

- [Microsoft Azure](https://openobserve.ai/docs/integration/cloud/azure/): Resource and platform logs from Azure.
- [Azure Activity Logs](https://openobserve.ai/docs/integration/cloud/azure/activity-logs/): Subscription-level audit events.

### Edge & PaaS (3)

- [Cloudflare](https://openobserve.ai/docs/integration/cloud/cloudflare/): Edge and WAF logs via Logpush.
- [Vercel](https://openobserve.ai/docs/integration/cloud/vercel/): Build and runtime logs, streamed live.
- [Heroku](https://openobserve.ai/docs/integration/cloud/heroku/): Dyno logs via native log drains.

### Containers (1)

- [Kubernetes](https://openobserve.ai/docs/integration/system/k8s/): Cluster, node, and pod telemetry via OTel.

### Operating System (2)

- [Linux](https://openobserve.ai/docs/integration/system/linux/): System logs and host performance metrics.
- [Windows](https://openobserve.ai/docs/integration/system/windows/): Event logs and performance counters.

### Web Server (3)

- [NGINX](https://openobserve.ai/docs/integration/servers/nginx/): Access logs, errors, and throughput.
- [IIS](https://openobserve.ai/blog/mastering-windows-iis-logging-a-comprehensive-beginners-guide/): Access logs, errors, and throughput.
- [Oracle WebLogic](https://openobserve.ai/docs/integration/servers/weblogic/): JVM and application-server metrics.

### Relational Database (4)

- [PostgreSQL](https://openobserve.ai/docs/integration/database/postgresql/): Slow queries and connection-pool metrics.
- [MySQL](https://openobserve.ai/docs/integration/database/mysql/): Query throughput and replication lag.
- [Oracle Database](https://openobserve.ai/docs/integration/database/oracle/): Wait events and session metrics.
- [SQL Server](https://openobserve.ai/blog/monitor-sql-server-with-otel/): Hit rate, command latency, and memory.

### NoSQL Database (4)

- [MongoDB](https://openobserve.ai/docs/integration/database/mongodb/): Op counters, slow ops, and replica health.
- [Amazon DynamoDB](https://openobserve.ai/blog/how-to-monitor-dynamodb-table/): Throttles, capacity, and latency.
- [Cassandra](https://openobserve.ai/docs/integration/database/cassandra/): Read/write latency per node.
- [Aerospike](https://openobserve.ai/docs/integration/database/aerospike/): Namespace, node, and storage metrics.

### In-Memory Store (1)

- [Redis](https://openobserve.ai/docs/integration/database/redis/): Hit rate, command latency, and memory.

### Cloud Data Warehouse (1)

- [Snowflake](https://openobserve.ai/docs/integration/database/snowflake/): Warehouse cost and query history.

### Tools (2)

- [Apache ZooKeeper](https://openobserve.ai/docs/integration/database/zookeeper/): Ensemble health and request latency.
- [Databricks](https://openobserve.ai/blog/monitor-databricks/): Ensemble health and request latency.

### CI/CD (4)

- [GitHub Actions](https://openobserve.ai/docs/integration/devops/github-actions/): Workflow runs and per-job timing.
- [Jenkins](https://openobserve.ai/docs/integration/devops/jenkins/): Build logs and pipeline duration.
- [Ansible](https://openobserve.ai/docs/integration/devops/ansible/): Playbook runs and task results.
- [Terraform](https://openobserve.ai/docs/integration/devops/terraform/): Capture plan and apply output.

### Message Queue (6)

- [Apache Kafka](https://openobserve.ai/docs/integration/message-brokers/kafka/): Broker lag, throughput, and offsets.
- [RabbitMQ](https://openobserve.ai/docs/integration/message-brokers/rabbitmq/): Queue depth and consumer rates.
- [NATS](https://openobserve.ai/docs/integration/message-brokers/nats/): Subject throughput and latency.
- [Apache Airflow](https://openobserve.ai/docs/integration/data-pipeline/airflow/): DAG runs and task durations.
- [Cribl](https://openobserve.ai/docs/integration/data-pipeline/cribl/): Route and reshape telemetry in flight.
- [MuleSoft](https://openobserve.ai/docs/integration/data-pipeline/mulesoft/): AMC logs from your integration flows.

### Security (7)

- [Microsoft 365](https://openobserve.ai/docs/integration/security/microsoft365/): Audit logs for users, apps, and mail.
- [Okta](https://openobserve.ai/blog/analyze-okta-events-for-better-security-and-observability/): Audit logs for users, apps, and mail.
- [Jumpcloud](https://openobserve.ai/blog/what-is-jumpcloud-and-how-to-monitor-with-openobserve/): Audit logs for users, apps, and mail.
- [OpenVPN](https://openobserve.ai/blog/openvpn-connect-logs-monitoring/): Audit logs for users, apps, and mail.
- [Google Workspace](https://openobserve.ai/blog/how-to-analyze-google-workspaces-audit-logs/): Audit logs for users, apps, and mail.
- [Falco](https://openobserve.ai/blog/how-to-setup-falco-on-kubernetes/): Runtime security alerts via Falcosidekick.
- [OSQuery](https://openobserve.ai/blog/osquery-daemon-and-shell/): Audit logs for users, apps, and mail.

### Network (2)

- [Netflow](https://openobserve.ai/blog/analyzing-network-traffic-using-netflow/): Analyze network traffic using Netflow.
- [SNPM](https://openobserve.ai/blog/snmp-monitoring-opentelemetry/): Modern observability for SNMP network monitoring.

### Languages & Frameworks (5)

- [Python](https://openobserve.ai/blog/handling-errors-with-opentelemetry-python/): OpenTelemetry tracing for Python apps.
- [Go](https://openobserve.ai/blog/monitoring-go-with-opentelemetry/): OpenTelemetry tracing for Go services.
- [.NET Tracing](https://openobserve.ai/blog/distributed-tracing-in-dotnet-application/): Distributed tracing in .NET applications.
- [Node.js](https://openobserve.ai/blog/how-to-send-pino-logs-to-openobserve/): Send Pino logs to OpenObserve.
- [.NET Logs](https://openobserve.ai/blog/opentelemetry-logging-in-dotnet-applications/): OpenTelemetry logging in .NET applications.

## Don't see your source? You're still covered.

OpenObserve speaks OpenTelemetry and Prometheus remote-write, and pulls your AWS services telemetry in directly through CloudWatch. If your tool emits OTLP, it ships to OpenObserve today. No proprietary agent, no waiting on a connector.

### Ship logs with what you already run

Vector, Fluent Bit, Fluentd, Filebeat, Logstash, Telegraf, Kinesis - point them at OpenObserve over OTLP, the Elasticsearch bulk API, or syslog. No rip-and-replace.

### One protocol. Logs, metrics, traces.

Instrument once with OpenTelemetry SDKs and send every signal to a single OTLP endpoint - no proprietary agent, no lock-in, full context across your stack.

### Manage it all in Terraform

Define your OpenObserve setup with the Terraform provider - version-controlled, reviewed in pull requests, and reproducible across every environment.

- [Explore all integrations](https://openobserve.ai/docs/integration/)