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GreenSlope

Product

Auto-SRE for teams that ship faster than they can watch.

GreenSlope is deploy-aware error tracking, AI-assisted triage, Slack incident loops, and OpenTelemetry SLOs in one product. It is built for small teams that need production context without hiring a dedicated SRE function.

§ 01Product flow

From deploy to postmortem, one loop.

GreenSlope follows the same sequence your on-call engineer follows manually today. The difference is that the timeline is already assembled when the page arrives.

Step 1

Watch every deploy

Connect Vercel, GitHub, or your OpenTelemetry release attributes so every trace lands with the release that produced it.

Step 2

Detect regressions

GreenSlope watches trace errors, latency, and SLO burn so on-call sees the deploy-shaped problem before it becomes archaeology.

Step 3

Explain likely cause

AI-assisted triage assembles the suspect release, affected endpoints, recent changes, and blast radius into a summary a human can review.

Step 4

Run the Slack incident loop

Alerts, acknowledgements, snoozes, rollback links, and updates stay in Slack so responders do not context-switch during the incident.

Step 5

Draft the postmortem

When the incident resolves, GreenSlope turns the timeline into a draft: what changed, what broke, impact, and follow-up actions.

§ 02Positioning

What this is, and what it isn't.

It is

  • Release-aware observability for teams shipping on PaaS.
  • AI-assisted triage with a human approval boundary.
  • OpenTelemetry-native trace ingestion.
  • EU-hosted, UK-registered, and GDPR posture documented.

It isn't

  • A full enterprise APM replacement.
  • A PagerDuty-style on-call scheduling system.
  • A logs, RUM, session replay, or synthetic monitoring product.
  • Autonomous remediation. GreenSlope suggests; humans decide.

Try it

14 days, no credit card. First visible trace in under five minutes from the quickstart.