Cloud
7 min readFebruary 15, 2026

Cutting an Azure bill by 34% with anomaly detection

Cloud cost surprises are predictable if you look at the right metrics. Here's how we cut a logistics client's bill by 34%.

By Karan Verma

Where bills creep

Egress, idle VMs, oversized SKUs, and orphan resources account for 70% of cloud waste in the projects we audit. The bill grows because nobody owns it.

What we automated

Daily anomaly detection on per-service cost and unit-economic metrics (cost per request, cost per active user) surfaces the leaks before they compound.

  • Per-service cost time series with seasonal decomposition
  • Auto-tagged ownership at resource-group level
  • PR-bot that posts cost deltas on infrastructure changes

The outcome

After eight weeks: 34% lower bill, four times the deploy frequency, and MTTR down 71%. Cost stopped being a surprise — it became a metric.

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