Flag cloud cost spikes by team

Add cloud cost management to every team by running daily cost anomaly detection against budgets, alerting budget owners in team chat with the services that grew most, and logging every spike for review.

Useful for
Budget owners and engineering managers whose teams run cloud workloads, plus the operations, finance, and FinOps staff who track cloud spend against budget.

Copied

Every morning, the automation pulls the previous day's costs from [cloud billing account, e.g. AWS Cost Explorer, Azure Cost Management, Google Cloud Billing], grouped by team and service through cost allocation tags. It compares each team's spend with the daily pace of its monthly budget, read from [budget tracking sheet, e.g. Google Sheets, Excel, Airtable], and with its recent daily average. When spend exceeds either, it messages the team's budget owner in [team chat platform, e.g. Slack, Microsoft Teams] with the amount, the budget pace, and the services that grew most, then logs the spike in [budget tracking sheet].

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Problem

Budget owners only see their cloud costs when finance shares the monthly bill. When a team's workload starts costing far more than planned, nobody notices until the invoice arrives, so the overspend keeps running and teams scramble in budget reviews to explain charges they could have stopped early.

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Solution

Every morning, the automation pulls the previous day's costs from the cloud billing account, grouped by team and service through cost allocation tags. It compares each team's spend with the daily pace of its monthly budget, read from the budget tracking sheet, and with its recent daily average. When spend exceeds either, it messages the team's budget owner in team chat with the amount, the budget pace, and the services that grew most, then logs the spike in the same sheet.

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Impact

Budget owners learn about a cost spike while it is still small enough to stop, instead of discovering the overspend on the monthly invoice after it has been paid.

Benefits 

Who is this for? 

Budget owners and engineering managers whose teams run cloud workloads, plus the operations, finance, and FinOps staff who track cloud spend against budget.

Success stories

Adapt at speed with 
visual-first automation and AI 

Make drives efficiencies, solves problems, and speeds innovation by breaking down silos across your business.

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Flag KPI anomalies for owners

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