AI AGENTS

Stage an auto-rollback when post-deploy Sentry and Datadog signals degrade

After a deploy webhook fires, an agent watches Sentry error rates and Datadog latency for a hold window.

CategoryAI Agents
EngineSim + Paperclip
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDeploy webhook fires with new versionHTTP webhook
  • ActionWatch Sentry new-version error rateSentrySentry
  • ActionCheck Datadog latency and saturationDatadogDatadog
  • LogicCompare to thresholds; prep rollback if degraded
  • OutputStage one-click rollback in Slack, revert via GitHubSlack

What it does

Guards every release with a short health gate. When a deploy notification arrives, the agent watches the new version's Sentry error rate and Datadog latency for a defined window. If signals stay clean it does nothing; if they degrade past threshold it stages a rollback with the exact target version and posts it to Slack for a human to approve with one click.

When to use it

Use it when you ship frequently and want a fast safety net that catches bad deploys within minutes, without fully automating reverts. Best for services with a reliable rollback mechanism and clear post-deploy health signals.

How it works

  1. 1A deploy webhook triggers the workflow with the new version identifier.
  2. 2The agent watches Sentry for new-version error rate over the hold window.
  3. 3It checks Datadog latency and saturation for the same service and window.
  4. 4Logic compares against thresholds; if healthy it closes out, if degraded it prepares a rollback to the last good version.
  5. 5The staged rollback posts to Slack with a one-click Approve that executes the revert via GitHub.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect SentryErrors, performance, releases.
  3. 3
    Connect DatadogMetrics, traces, log search.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Connect GitHubRepos, issues, pull requests, actions.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.