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Dev.to
7/19/2026
The original headline is: "How We Cut Datadog Bills by 60% Without Losing Observability"

The original headline is: "How We Cut Datadog Bills by 60% Without Losing Observability"

Original: How We Cut Datadog Bills by 60% Without Losing Observability

Short summary

A concrete case study of reducing a $38k/month Datadog bill to $15k by cutting unused custom metrics (1,800 of 2,400 had no dashboard references), implementing tiered log retention, lowering tag cardinality, dropping dev synthetic monitors, and consolidating APM sampling. The core lesson: observability costs are usually a data hygiene problem, not a pricing problem.

  • •Dropped 1,800 unused custom metrics (75% of total) for 30% savings
  • •Tiered log retention (3/7/cold days) and lower-cardinality tags cut major costs
  • •Consolidated APM sampling to 10% on healthy traces, 100% on errors — 85% volume reduction

Generated with AI, which can make mistakes.

#industry-adoption#market-trend
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