Rocketlog is an OpenTelemetry-native monitoring platform that uses AI to root cause issues faster. Pick a point in time and a time window, and we fetch logs, traces, and metrics in that window to analyze what went wrong.

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Why Rocketlog?

AI root cause analysis

Select any moment and time range. We correlate logs, traces, and metrics so you can understand failures quickly.

OpenTelemetry native

Send telemetry via OTLP to your Rocketlog ingress. No vendor lock-in; standard instrumentation works as-is.

Fix in your IDE

Use the VS Code extension to fetch slow endpoints and evidence directly in chat and fix issues without leaving the editor.

On-call AI SRE in Slack

An AI assistant in Slack that fetches telemetry evidence around a deployment or time window so you can respond faster.

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How it works

  1. Instrument your apps — Point OpenTelemetry (traces, metrics, logs) at https://{your-ingress-endpoint}.rocketgraph.app and install auto-instrumentation for Python or Node.js.
  2. Pick a time window — In the Rocketlog UI, choose a point in time and zoom into a window. We pull logs, traces, and metrics for that range.
  3. AI analyzes — Our AI correlates signals and suggests root causes so you spend less time digging and more time fixing.
  4. Enrich and alert — We tag logs with deployment and Kubernetes instance IDs, and support alerts and SLOs with smart grouping to reduce noise.

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Next steps

Quickstart

Get your service sending telemetry to Rocketlog in minutes.

Python

Auto-instrument Python apps and send OTLP to Rocketlog.

Node.js

Auto-instrument Node.js apps and send OTLP to Rocketlog.

Alerts & SLOs

Create alerts and SLOs with smart grouping to reduce noise.

Custom metrics

Add custom OpenTelemetry metrics with copy-paste examples.