Telemetry
Integration collection

Cloud and Infrastructure Telemetry Integrations

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

Reviewed by the Telemetry product team on . Runtime boundaries, shared event fields, verification workflow, and upstream implementation sources. Review standards and ownership

14 implementation guides

Every guide includes a server-side snippet, delivery and privacy boundaries, a verification query, related SQL, and links to upstream documentation.

Browse guides

Selection framework

Choose the boundary that knows the result

Start at the workload boundary

Prefer stable service, workload, queue, and route names over ephemeral pod IDs, raw resource paths, or provider payloads.

Pair resource pressure with demand

CPU, memory, restarts, lag, and throttling need request or job volume plus release context before they support a capacity decision.

Retain the specialist signal

Use infrastructure, tracing, and provider systems for their native detail. Send selected application outcomes to Telemetry for SQL analysis and customer impact.

Shared event contract

Keep the first schema interoperable

  • service, region, environment, release, status, and duration_ms
  • provider, runtime, workload, queue, dependency, and controlled error_type
  • request volume, resource saturation, retry count, and customer-impact fields

Adapt these fields to the workflow, but keep units, status categories, identifiers, and ownership explicit before several services depend on the same table.

Verification

Exercise failure paths before alerts

  1. 1Exercise one healthy deployment and one controlled provider or workload failure.
  2. 2Confirm region, release, service, and runtime dimensions remain bounded.
  3. 3Test retry and timeout behavior without recursive telemetry failures.
  4. 4Compare infrastructure changes with request, job, or product outcomes.

Implementation guides

Match the framework, provider, or runtime

Sourced implementation guide

Cloudflare Worker Telemetry

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

Open guide
Sourced implementation guide

AWS Lambda Structured Event Monitoring

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

Open guide
Sourced implementation guide

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.

Open guide
Sourced implementation guide

AWS SQS Queue Observability

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

Open guide
Sourced implementation guide

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.

Open guide
Sourced implementation guide

Google Cloud Pub/Sub Telemetry

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

Open guide
Sourced implementation guide

Azure Functions Telemetry

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

Open guide
Sourced implementation guide

Azure Service Bus Telemetry

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

Open guide
Sourced implementation guide

Kafka Consumer Lag and Processing Analytics

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

Open guide
Sourced implementation guide

Kubernetes Workload Telemetry

Send bounded Kubernetes restart, readiness, and rollout observations to Telemetry for workload-level SQL analysis.

Open guide
Sourced implementation guide

Amazon Bedrock Model Telemetry

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

Open guide
Sourced implementation guide

Azure OpenAI Responses Telemetry

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

Open guide
Sourced implementation guide

Google Gemini API Telemetry

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

Open guide
Sourced implementation guide

OpenTelemetry Context in Structured Events

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

Open guide

Verify one end-to-end workflow first

Create a free API key, choose the closest runtime guide, and send one known success and failure before expanding coverage.

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