e-volv

Performance playbook

Cloud Cost Anomaly

Weekly billing anomaly detection correlated against infrastructure changes and deploys to name the change most likely causing a spike.

Once a week, pulls cloud billing broken down by service and SKU, detects anomalies against a trailing baseline, and correlates each spike against infrastructure changes and deploys in the same window. Files a ticket naming the change that most likely caused each regression.

Identifier
cloud-cost-anomaly
Version
1.0.1
Steps
5
Triggers
1
  • cloud
  • cost
  • anomaly
  • billing
  • infrastructure
  • weekly

When it runs

Scheduleschedule.weekly
Schedule
Every Monday at 07:00 UTC 0 7 * * 1
Timezone
UTC

The pipeline

The graph below is the one the workflow opens with in the builder, same steps, same layout, drawn on the same canvas. The run playing through it is a simulation; the branches and conditions are real.

  1. 01
    Weekly Schedule (Monday 07:00 UTC)trigger

    The event that starts the run.

  2. 02
    Fetch Billing Data ⚠️ SET YOUR BILLING ACCOUNThttp.request

    Calls an external HTTP endpoint with vault-resolvable headers.

  3. 03
    Clone Infrastructure Repository ⚠️ SET YOUR REPOgit.clone

    Shallow-clones the repository at the right ref.

  4. 04
    Analyse Cloud Cost Anomaliesagent.run

    One agent works the task with its toolkit.

  5. 05
    File Cost Anomaly Ticketticket.create

    Opens a ticket on the connected tracker.

The agent

Cloud Cost Analyst

Base type
Senior Developer
Temperature
0.2
Max iterations
40
Tools
7

Memory · 2

  • memory_writeWrite Memory · write
  • memory_readRead Memory · read

Terminal · 1

  • run_terminal_cmdRun Terminal Command · write

Filesystem · 1

  • read_fileRead File · read

Code search · 1

  • code_searchCode Search · read

Tickets · 1

  • create_ticketCreate Ticket · write

Status · 1

  • update_statusUpdate Status · write

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