Signals

Your Datadog bill keeps climbing because teams store more data to solve a retrieval problem, and that has never actually worked.

Application logs capture developer-written context about business logic and internal state; APM traces automatically record request flow and performance across services, and understanding the difference explains why both inflate your observability bill.

Most engineering teams running healthcare or FinTech systems are sitting on a HIPAA retention gap they have not found yet, and their observability vendor is not going to flag it for them.

A breakdown of why app logging bills grow faster than your user base, and how to cut volume without losing observability coverage.

Observability was supposed to help teams control complexity in the cloud era. For many organizations, it has become one of the fastest-growing line items in the budget.

The observability industry keeps building smarter tools on top of the same noisy data, and a recent post from a Sr. Engineering Manager at Walmart shows exactly why that approach hits a wall.

The same discipline required to right-size AI compute infrastructure applies directly to observability, where defaulting to ingest everything drives massive costs for data that never gets queried.