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Telemetry
Integration guides

Add events to the tools your app uses

Add structured events to AI systems, application frameworks, browser and edge runtimes, loggers, jobs, queues, databases, and cloud infrastructure.

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Find your runtime or use case

AI agent and LLM integrations

Compare implementation guides for model providers, agent frameworks, tool orchestration, retrieval systems, and AI application runtimes.

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Node.js and TypeScript integrations

Instrument Node.js frameworks, edge runtimes, queues, database clients, loggers, webhooks, and AI applications with server-side events.

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Python integrations

Instrument Python APIs, workers, database applications, and AI agent frameworks with synchronous or asyncio-safe structured events.

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Background job and queue integrations

Instrument schedulers, workers, queues, streams, retries, dead letters, webhooks, and durable workflows from enqueue through final outcome.

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Database integrations

Instrument database clients, ORMs, caches, streams, and application-owned query boundaries without storing raw SQL or sensitive parameters.

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Cloud and infrastructure integrations

Instrument edge functions, serverless jobs, queues, Kubernetes workloads, streams, and cloud AI providers with customer-impact context.

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Application framework integrations

Compare request, job, database, and release instrumentation patterns for server frameworks across JavaScript, Python, Elixir, PHP, Java, .NET, and Go.

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Logging and observability integrations

Connect application loggers, OpenTelemetry context, and framework diagnostics to compact SQL-ready outcome events without duplicating raw telemetry.

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Browser and edge integrations

Send approved frontend and edge events through your server. Keep API keys there, check consent, and use route templates instead of raw URLs.

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Browse the library

Integration guides

OpenAI agent telemetry

Log OpenAI agent runs, tool calls, model usage, latency, cost, and final outcomes with structured events.

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Browser JavaScript and Web Vitals telemetry

Send Core Web Vitals and approved frontend result fields through a rate-limited server proxy. Keep the Telemetry API key on the server.

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Vercel AI SDK telemetry

Track streaming completions, token usage, retries, latency, and accepted results from AI SDK workflows.

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Inngest and Trigger.dev job telemetry

Instrument async workers, scheduled jobs, retries, failures, and dead-letter events with SQL-ready logs.

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Stripe webhook telemetry

Debug payment, subscription, invoice, retry, and downstream billing sync behavior without storing webhook bodies.

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Supabase and Postgres app telemetry

Track product workflows, database-adjacent jobs, API routes, and customer-facing failures from server code.

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Cloudflare Worker telemetry

Log edge request status, latency, provider failures, cron runs, and queue workers from Cloudflare Workers.

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Node.js and Express structured logging

Instrument Express route outcomes with stable route templates, status codes, request latency, and safe correlation fields.

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Next.js server event analytics

Send SQL-ready events from Next.js route handlers and server actions without exposing an ingestion key to the browser.

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Python and FastAPI structured logging

Capture FastAPI request outcomes and latency with the asynchronous Telemetry client and normalized route names.

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OpenTelemetry context in structured events

Connect Telemetry business events to existing OpenTelemetry traces by recording safe trace and span identifiers at workflow boundaries.

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AWS Lambda structured event monitoring

Track Lambda invocations, cold starts, duration, retries, and business outcomes with compact structured events.

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Go HTTP server structured logging

Add typed request-outcome events to Go HTTP services for route error rates, latency percentiles, and release comparisons.

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Ruby on Rails structured event analytics

Record Rails controller and background-workflow outcomes through Telemetry's HTTP API with safe, queryable fields.

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Django and Celery structured event monitoring

Connect Django request outcomes and Celery task lifecycles with safe identifiers, latency, retries, and final status.

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Laravel structured logging and queue analytics

Send Laravel request, command, queue, and billing outcomes as typed events without exposing application secrets or payloads.

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.NET and Serilog structured event analytics

Add a focused Telemetry outcome event beside Serilog diagnostics for ASP.NET request latency, failures, releases, and customer impact.

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Spring Boot structured event monitoring

Record Spring MVC and scheduled-workflow outcomes through Telemetry's HTTP API with stable routes, latency, status, and trace context.

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Temporal workflow observability

Track Temporal workflow outcomes, activity retries, schedule-to-start latency, and business milestones without recording workflow payloads.

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BullMQ queue monitoring

Measure BullMQ queue wait, execution duration, retries, failures, and dead-letter growth with SQL-ready lifecycle events.

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AWS SQS queue observability

Track SQS message age, receive attempts, processing outcomes, batch behavior, and dead-letter routing without storing message bodies.

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Kafka consumer lag and processing analytics

Monitor Kafka consumer outcomes, partition lag, processing latency, retries, and poison-message handling with structured events.

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Anthropic Claude API telemetry

Track Claude API token usage, model, latency, stop reason, errors, cost context, and reviewed product outcomes without storing prompts.

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LangGraph agent observability

Measure LangGraph run outcomes, node and tool failures, retries, checkpoints, human handoffs, latency, and reviewed task quality.

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node-postgres pool and query telemetry

Instrument node-postgres query fingerprints, connection acquisition, pool pressure, timeouts, transaction outcomes, and database errors without logging SQL parameters.

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Prisma ORM database telemetry

Measure Prisma operation fingerprints, model and method latency, failures, result counts, releases, and database-dependent workflows without collecting raw query parameters.

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Kubernetes workload telemetry

Send approved Kubernetes restart, readiness, and rollout fields to Telemetry. Use SQL to compare workloads.

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Google Gemini API telemetry

Track Gemini request latency, model usage, tokens, finish reason, errors, and reviewed product outcomes without storing prompts or generated content.

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Amazon Bedrock model telemetry

Measure Bedrock Converse requests by model or inference profile, token usage, latency, stop reason, retries, and business outcome.

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Azure OpenAI Responses telemetry

Track Azure OpenAI deployment usage, token cost, latency, failures, and product outcomes with editable SQL-ready events.

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LangChain agent outcome telemetry

Connect LangChain agent runs and tool outcomes to product-facing cost, reliability, handoff, and acceptance metrics without duplicating raw traces.

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Pino structured event analytics

Keep Pino diagnostic logs and send selected completion events to Telemetry to analyze Node.js requests, jobs, and product reliability.

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Winston structured event analytics

Connect Winston application diagnostics to small SQL-ready request, workflow, and job outcomes without duplicating the entire log stream.

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NestJS request and workflow telemetry

Instrument NestJS controllers and providers with normalized route outcomes, latency, errors, releases, and approved account context.

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Flask and SQLAlchemy telemetry

Record Flask request results and SQLAlchemy transaction behavior with approved Python event fields, consistent route templates, and safe error categories.

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Sidekiq job telemetry

Track Sidekiq execution outcomes, attempts, queue wait, errors, and releases from server middleware without copying job arguments.

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Redis and node-redis telemetry

Measure Redis command outcomes, latency, cache behavior, reconnects, and bounded error categories alongside node-redis.

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Claude Agent SDK telemetry

Track Claude Agent SDK run outcomes, duration, tool activity, turns, cost, and approved product signals without storing prompts or tool payloads.

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Pydantic AI agent telemetry

Measure Pydantic AI run outcomes, validated outputs, retries, tool activity, latency, usage, and product acceptance with safe structured events.

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CrewAI workflow telemetry

Track CrewAI crew and flow outcomes, task counts, handoffs, retries, latency, cost, and accepted results without retaining agent conversations.

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Google ADK agent telemetry

Measure Google Agent Development Kit sessions, run outcomes, tool activity, handoffs, latency, and approved product signals with SQL-ready events.

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Mastra agent telemetry

Track Mastra agent and workflow outcomes, tool activity, latency, retries, cost, and product acceptance alongside built-in traces and evals.

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LlamaIndex agent telemetry

Track LlamaIndex agent and workflow outcomes, tool activity, latency, retrieval versions, cost, and reviewed quality with structured events.

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DSPy program evaluation telemetry

Measure DSPy program latency, failures, metric scores, optimizer versions, model cost, and accepted outcomes across releases with SQL-ready events.

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AutoGen task flow, state, and timeout monitoring

Track AutoGen task-flow state, timeouts, team and agent outcomes, tool activity, handoffs, latency, failures, cost, and releases with compact structured events.

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Semantic Kernel agent telemetry

Measure Semantic Kernel function and agent outcomes, tool activity, model usage, latency, cost, and releases alongside OpenTelemetry traces.

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MCP server and tool telemetry

Track Model Context Protocol tool outcomes, latency, errors, approvals, retries, clients, and releases without storing arguments or returned content.

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RabbitMQ queue telemetry

Track RabbitMQ publish confirmation, delivery, acknowledgement, redelivery, queue wait, retries, and dead-letter outcomes with structured events.

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MySQL query and pool telemetry

Track normalized MySQL operations, pool wait, transaction outcomes, controlled error categories, and release regressions without storing raw SQL or parameters.

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MongoDB operation telemetry

Track named MongoDB operations, latency, result counts, retries, transaction outcomes, and release regressions without collecting documents or query values.

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Google Cloud Run telemetry

Track Cloud Run request and job outcomes, cold-start context, instance concurrency, retries, latency, and releases with application-owned structured events.

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Google Cloud Pub/Sub telemetry

Track Pub/Sub publish, delivery, acknowledgement, redelivery, ordering, queue age, and dead-letter outcomes with stable message identifiers.

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Azure Functions telemetry

Track Azure Functions HTTP, timer, queue, and event-trigger outcomes with invocation, retry, latency, release, and customer-impact context.

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Azure Service Bus telemetry

Track Azure Service Bus sends, receives, lock renewal, settlement, redelivery, deferral, and dead-letter outcomes without collecting message bodies.

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OpenAI Responses API telemetry

Measure OpenAI Responses API latency, token usage, tool activity, failures, and downstream outcomes without collecting prompts or generated content.

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LiteLLM gateway and SDK telemetry

Track LiteLLM provider routing, retries, fallbacks, token usage, latency, cost estimates, and accepted outcomes across a controlled model gateway.

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Elixir Phoenix telemetry integration

Listen for Phoenix request lifecycle events and forward the final request result with approved fields. Exclude connection data, parameters, and exception text.

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AWS ECS and Fargate telemetry integration

Add ECS task family, revision, availability zone, and release context to application outcomes using the local task metadata endpoint.

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GitHub Actions workflow telemetry integration

When a GitHub Actions workflow finishes, send its run, attempt, job, conclusion, duration, and release fields.

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n8n workflow telemetry

Use the n8n HTTP Request node to send approved fields for workflow completion, failure, retries, item counts, and downstream delivery results to Telemetry.

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How to choose

Choose a guide for your next task

Choose where to add events

Choose the framework or provider that owns the final request, job, model call, or webhook outcome.

Keep product context

Include approved feature, route, team, and outcome fields so you can identify which customers a failure affected.

Exercise failure paths

Send success, failure, timeout, and retry examples before relying on an alert or dashboard.

Start with one workflow

Use the setup prompt, then check that your events arrive

Create a free API key and choose a guide for your application. Ask your agent to run the workflow and confirm that its events arrive in Telemetry.

Start free