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Investigating a cloud cost spike

How one team described it:
“When AWS flags a cost anomaly, we post it in Slack, find the service and team from the tags, open a Linear ticket for the owner, who checks Datadog to see what changed. The CTO approves anything that stays above forecast.”
  • Slack
  • AWS
  • Linear
  • Datadog
  • Google Sheets
4 run on their own3 stay with people

Typically saves 2–4 h per spike

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PlatformInvestigating a cloud cost spike
Process description
Trigger
AWS flags spending 30% above forecast
Outcome
Every spike has an owner and an explanation within a day, not at the end of the month.
Tools
SlackAWSLinearDatadogGoogle Sheets
Steps
  1. 1
    Post the anomaly to SlackPlatform engineer, tool Slack
    Can be automated
  2. 2
    Find the service and owning teamPlatform engineer, tool AWS
    Can be automated
  3. 3
    Open a ticket for the ownerPlatform engineer, tool Linear
    Can be automated
  4. 4
    Check what changedService owner, tool Datadog
    Stays with a person
  5. 5
    Fix or accept the costService owner, tool AWS
    Stays with a person
  6. 6
    Approve spend above forecastCTO, tool Slack
    Stays with a person
  7. 7
    Add to the monthly cost reportPlatform engineer, tool Google Sheets
    Can be automated

Want this process in your company?

Make this process yours

Orbox starts from this example and asks how your team does it.

No developer? Work with an Orbox Partner

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