ENGINEERING

Corroborate Sentry release dips against Honeycomb latency before blocking

Cross-checks a Sentry crash-free dip against Honeycomb error-rate and latency for the same release, and only blocks the Vercel promotion when both signals agree.

CategoryEngineering
Enginesim
Difficultyadvanced
Triggerwebhook
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerVercel deployment-ready webhookVercelVercel
  • ActionRead Sentry crash-free rate for the versionSentrySentry
  • ActionQuery Honeycomb error rate and p95 latencyHoneycomb
  • LogicRequire both signals to breach before regressing
  • ActionHalt the Vercel promotion on corroborated dipVercelVercel
  • OutputReport both signals and decision to SlackSlack

What it does

Adds a second opinion to release gating. Before holding a promotion, it confirms a Sentry crash-free dip with Honeycomb traces for the same release version, so a single noisy metric doesn't block a clean deploy.

When to use it

Use it when client-side Sentry numbers alone produce too many false holds and you want server-side telemetry to agree before pulling a release. Suited to teams with both Sentry and Honeycomb instrumented per release.

How it works

  1. 1A Vercel deployment-ready webhook fires with the new release version.
  2. 2The flow reads the Sentry crash-free sessions rate for that version after the bake window.
  3. 3It queries Honeycomb for the same version's server error rate and p95 latency over the same window.
  4. 4A branch requires both Sentry and Honeycomb to breach their thresholds to count as a real regression.
  5. 5If both agree, it halts the Vercel promotion; if only one trips, it lets the release stand and flags it for review.
  6. 6A Slack message reports both signals and the corroboration decision.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SentryErrors, performance, releases.
  2. 2
    Connect HoneycombDistributed traces and queries.
  3. 3
    Connect VercelDeploys, runtime logs, analytics.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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