Rocketgraph is a production monitoring platform that continuously analyzes your logs, traces, and metrics to detect anomalies and regressions. It connects to your existing observability stack — Sentry, Datadog, New Relic, Loki, CloudWatch — and tells you when something changes.

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Why Rocketgraph?

Continuous anomaly detection

ML-based analysis runs every hour, comparing current telemetry patterns against learned baselines. New error patterns, disappeared logs, and latency shifts are surfaced automatically.

Deploy regression analysis

Every deploy triggers a before/after diff. New errors are pinpointed to the commit that introduced them — with the exact template, frequency, and file path.

Works with your existing stack

Connect Sentry, Datadog, New Relic, Loki, or CloudWatch. No new SDK required — Rocketgraph reads from the tools you already use.

AI SRE in Slack

When a regression is detected, a Slack message explains what changed, what’s affected, and what to do — with root cause analysis on demand.

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How it works

  1. Connect your sources — Link Sentry, Datadog, New Relic, Loki, or CloudWatch in Settings. Or send OpenTelemetry directly to Rocketgraph.
  2. Deploy hooks — Connect Railway, GitHub Actions, or any CI/CD via webhooks. Rocketgraph runs a before/after analysis on every deploy.
  3. Continuous monitoring — Every hour, the ML pipeline compares current log patterns against the baseline using template mining and anomaly scoring.
  4. Alerts when things change — New error patterns, disappeared logs, latency shifts, and behavior changes are reported to Slack with severity, evidence, and recommended actions.

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What it detects

  • New errors — Error templates that didn’t exist before a deploy or in the previous hour
  • Disappeared logs — Info or debug patterns that stopped appearing (possible broken logging or removed features)
  • Behavior changes — Existing templates whose frequency or error rate shifted significantly
  • Errors fixed — Error patterns that disappeared after a deploy (positive signal)
  • Cross-service correlation — Causal chains across multiple services in your Sentry org

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Next steps

Quickstart

Get Rocketgraph connected and running in under 5 minutes.

Node.js

Auto-instrument with the AI agent or send OTel directly.

Sentry

Connect Sentry for error tracking and structured log analysis.

Railway / GitHub

Set up deploy webhooks for regression detection.

Slack

Get anomaly alerts and AI root cause analysis in Slack.