Observability's Gaslighting Problem: 'Send Less Data' Isn't A Strategy
DevOps.com, Friday, September 4th, 2026
Cutting telemetry to cut cost strips out the exact signals you need for rare failures and AI-written code.
The article pushes back on the industry reflex of aggressive telemetry reduction as the answer to observability bills.
Signals that look worthless during normal operation are frequently the ones that matter when investigating a rare failure or a subtle regression, and teams discard them before understanding which data earns its keep.
AI-assisted development compounds the risk by producing code and dependencies no engineer directly wrote, widening the gap between intended and actual runtime behavior. The recommendation is to treat sampling and filtering as deliberate architectural decisions made after you understand the system, not as a primary cost lever.