DEVOPS

Monthly build-budget burndown report to Snowflake

On the first of each month, archives every Vercel project's build-minute history to Snowflake, computes month-over-month budget burndown per project.

CategoryDevOps
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMonthly schedule fires on the 1st
  • ActionFetch prior-month build durations from VercelVercelVercel
  • ActionLoad build records into Snowflake tableSnowflakeSnowflake
  • ActionQuery month-over-month deltas and budget headroomSnowflakeSnowflake
  • OutputEmail ranked burndown report to leadershipGmailGmail

What it does

At the start of each month, this flow pulls the full prior-month build-duration history from Vercel for all projects and loads it into a Snowflake table for durable trend analysis. It then runs a query that computes each project's average build minutes, month-over-month change, and remaining headroom against its budget, and emails leadership a ranked burndown report.

When to use it

Use it for the monthly engineering health review when you need an auditable, queryable record of build-time spend rather than ephemeral alerts. Snowflake keeps the long history; the email gives leadership the one-page verdict on whether build performance is trending the right way.

How it works

  1. 1A monthly schedule fires on the first of the month.
  2. 2The flow fetches the prior month's build durations for every project from Vercel.
  3. 3It loads the records into a Snowflake build-metrics table.
  4. 4A Snowflake query computes per-project averages, month-over-month deltas, and budget headroom.
  5. 5The flow emails a ranked burndown report to leadership via Gmail, highlighting the most improved and most degraded projects.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect VercelDeploys, runtime logs, analytics.
  2. 2
    Connect SnowflakeWarehouses, queries, shares.
  3. 3
    Connect GmailRead, draft, send, label.
  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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