DEVOPS

Publish a weekly per-team cloud chargeback digest with spike callouts to Notion

Every Monday it aggregates the prior week's cloud spend by owning team from BigQuery, flags any team whose spend rose materially week over week.

CategoryDevOps
Enginesim
Difficultyintermediate
Triggerschedule
Steps4
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly Monday schedule
  • ActionRoll up spend by team, week over weekGoogle BigQueryBigQuery
  • LogicRank teams and flag spike threshold crossings
  • OutputPublish chargeback digest page to NotionNotionNotion

What it does

Builds a weekly chargeback report that splits total cloud spend across owning teams, compares each team to the previous week, and highlights the teams responsible for the largest increases. It publishes the result as a clean Notion page so leadership and team leads have a shared, durable record of who spent what.

When to use it

Use it when you run a showback or chargeback model and want a repeatable weekly artifact instead of ad hoc spreadsheets. Good for finance-engineering syncs and budget reviews where attribution to teams matters.

How it works

  1. 1A weekly Monday schedule kicks off the run.
  2. 2A BigQuery query rolls up last week's spend grouped by owning team and compares it to the prior week.
  3. 3A logic step ranks teams by week-over-week dollar increase and tags any that crossed the spike threshold.
  4. 4An output step renders a Notion page: a summary table of all teams plus a "spikes this week" section at the top with the biggest movers and their likely drivers.
  5. 5The page is created under the FinOps Notion database, dated for the week.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect BigQueryDatasets, queries, schemas.
  2. 2
    Connect NotionPages, databases, comments.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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