Detection
Detection

Post-Deploy Regression Alerts: An Issue When Signals Start Right After a Release

By Sazabi Team

Last verified on Nov 10, 2026.

What it catches

Most incidents begin with a change. The first ten minutes after a release are when a new error, a slower page or a drop in conversion is easiest to trace, and also when the team is least likely to connect them. By the time someone asks "did we deploy?", the answer is buried under an hour of other noise.

Post-deploy shift does not detect a new kind of problem. It notices that other signals started right after a release and says so. If a novel error and a funnel drop begin within minutes of the same deploy, that is one story, and you get one issue about it instead of two unrelated ones to correlate by hand.

When it applies:

  • A new error shows up in the first minutes after a service rolls out.
  • A step in a user flow stops converting right after a frontend release.
  • An event vanishes because a log call was removed in a refactor.
  • One version of a service behaves differently from the others in a canary.
  • A migration step run with a release changes a field's values.

Example: two signals, one release

This is an example, not output from a real project. Your payments-api logs a deploy marker with the commit, then behaves differently:

2026-11-08T14:00:02Z INFO deployer deploy_finished service=payments-api version=2026.11.08-3 commit=9f3c2ab
2026-11-08T14:03:51Z ERROR payments-api charge_failed reason="currency conversion rate missing" version=2026.11.08-3
2026-11-08T14:04:20Z ERROR payments-api charge_failed reason="currency conversion rate missing" version=2026.11.08-3
2026-11-08T14:05:12Z INFO payments-api checkout_completed currency=EUR version=2026.11.07-1

A new error appears for the new version, and completions in a euro flow fall. Sazabi opens one issue. An example of the contents:

  • Name: Payments errors and lower checkout completion began after deploy 2026.11.08-3
  • Description: A new charge_failed reason appears only on version 2026.11.08-3, within four minutes of commit 9f3c2ab going out. Checkout completions fell at the same time. Requests on the previous version are unaffected.
  • Severity: critical

The evidence lists both signals and the deploy that precedes them, so the first question, what changed, is already answered.

How Sazabi sets it up

This one builds on the other signals. The Sazabi agent sets up sensors for your project and maintains them over time. When one of them, or new-error detection, produces a signal, the investigation looks at what else began around the same time and at releases visible in your logs. If a deploy is the common thread, the issue is framed around it.

To see the deploy, the agent reads your logs for the markers you already write: a deploy line, a version field or a commit on events. It keeps its understanding current as your delivery process changes.

Because the check starts from other signals, an issue opens only when the problem is real.

What you see and how you get told

An issue that names the release, lists the signals attached to it and describes the likely cause. Ask the agent follow-ups, such as what else changed around the same time, or run sazabi issues agent-prompt to give a fix to a coding agent. Issue triggered goes to the in-app feed, with delivery rules to route to a shared Slack or Microsoft Teams channel by severity or owning team. sazabi signals list --type sensor shows firings.

What you need

Production logs with a way to tell versions apart. Deploy markers from your pipeline, or a release field on application events, are both enough. Hosting and platform logs can come through AWS, Cloudflare or OpenTelemetry. For rollout practices, see the glossary entry on canary deployment.

What it does not cover

  • Releases that leave no trace in logs.
  • Changes to config or feature flags as such. Config or flag change detection is not covered today.
  • Rolling back or pausing a deploy. The decision stays with you.
  • Problems that began well before the deploy.

See regressions for the category and new error detection for one of the most common starting signals. Issues are metered; see pricing.

What Sazabi detects today

There are no monitors or alert rules to write: the Sazabi agent automatically sets up sensors for your project and maintains them over time. Sazabi opens an issue when one fires.

  • Post-deploy shift: Any other signal that starts within minutes of a deploy, tied to the commit. Example: A novel event plus a funnel drop 4 minutes after a release.

Frequently Asked Questions

Is this a separate detector?

It is a way of reading other signals. When any signal starts within minutes of a deploy, the timing is part of what the investigation weighs and reports.

Do I need to send Sazabi deploy events?

The signal can only tie a change to a release if the release is visible in your logs, for example a deploy log line or a version field on events that carries the commit.

Does it roll back my deploy?

No. The issue gives you the evidence and the likely cause so you can decide what to do, and you can hand the fix to a coding agent.

Does a canary release work?

It can, if the version shows in your events. A change that appears only on the canary share of traffic then stands out against the version that carries it.

Sources

  1. Issue contents, severity levels, recurrence handling, response actions (accessed Nov 8, 2026)
  2. Issue triggered notification, delivery rules by severity, component and owning team (accessed Nov 8, 2026)
  3. Signals and managed investigation, issues arrive already investigated (accessed Nov 8, 2026)
  4. sazabi signals list with the sensor type filter (accessed Nov 8, 2026)
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