1 April 2026
Idle capacity signals worth trusting in application analytics
Not every low-utilisation metric justifies a resize. These signals separate noise from durable savings opportunities.
CPU averages below twenty percent look wasteful until you discover weekend batch jobs that spike for forty minutes. Application cost analytics has to respect workload shape before recommending a smaller instance.
Prefer signals that hold across several weeks: sustained memory headroom, storage volumes with no read activity, and load balancers serving near-zero requests outside a maintenance window. Pair each signal with the application’s change calendar so seasonal peaks are not mistaken for permanent over-provisioning.
When utilisation data and billing disagree, trust neither alone. A reserved instance can show low spot-hour cost while still locking the organisation into the wrong size. Cross-check commitment discounts against current demand before you celebrate a “saving.”
Document the confidence level of each finding. High-confidence idle items can move quickly; medium-confidence items need a short observation window. That discipline keeps efficiency work credible with engineering teams.