DEVOPS

Weekly DORA Scorecard Digest with Regression Alert

Every Monday, reads the week's deploy-frequency and lead-time figures from Snowflake, posts a formatted scorecard to Slack.

CategoryDevOps
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMonday 08:00 schedule
  • ActionQuery this-week vs last-week DORA aggregatesSnowflakeSnowflake
  • LogicCompute deltas and flag sharp regressions
  • OutputPost scorecard with trend arrows to SlackSlack
  • ActionOpen PagerDuty incident for flagged teamsPagerDutyPagerDuty

What it does

This workflow closes the DORA loop by reporting it. Each Monday it reads the trailing week's deploy-frequency and lead-time-for-changes aggregates from Snowflake, builds a readable scorecard, and posts it to your engineering Slack channel. If lead time spiked or deploy frequency dropped beyond a threshold, it raises a PagerDuty incident so the regression gets owned, not buried.

When to use it

Use it for a standing Monday engineering review or to keep leadership honest on delivery health. Best when your DORA metrics already land in Snowflake and you want push-based reporting plus an early-warning signal.

How it works

  1. 1A schedule fires every Monday at 08:00.
  2. 2The flow runs a Snowflake query returning this week's and last week's deploy count and median lead time per team.
  3. 3A logic step computes week-over-week deltas and flags teams whose lead time rose over 30 percent or whose deploys fell over 40 percent.
  4. 4It posts the full scorecard with trend arrows to Slack.
  5. 5If any team is flagged, it opens a PagerDuty incident tagged to that team's service.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SnowflakeWarehouses, queries, shares.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  3. 3
    Connect PagerDutyIncidents, on-call, escalations.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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