The Hidden Egress Traps in Kubernetes
Most cloud bills spike from data transfer, not compute. Map your east-west and egress paths before they drain your margin.
Measure platform outcomes that correlate with lower Kubernetes bills instead of vanity DevOps metrics.
Velocity metrics like lead time or MTTR rarely move your cloud bill. The platform team needs cost-aware KPIs that force better defaults for every service landing on the cluster.
(requested - used) / requested at p95 per service. Goal: <20%.cost.waste.cpu and cost.waste.memory gauges from Prometheus to your observability stack.When a team spins up a new service, they inherit guardrails, budget alerts, and PR cost checks by default. The platform team reports fewer cost regressions per release, while unit cost trends down quarter over quarter.
If your KPIs do not change engineer behavior, they are dashboards. Pick the ones that make expensive choices hard and healthy defaults easy.***
Head of Sales
Most cloud bills spike from data transfer, not compute. Map your east-west and egress paths before they drain your margin.
Pair latency and availability targets with spend guardrails so reliability does not blow up your cloud bill.
Before you trust ML to resize pods, fix your signals, budgets, and guardrails. Otherwise AI just automates bad guesses.
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