Rightsizing beats shutting things off
Most cloud spend isn't wasted on idle resources — it's spent on over-provisioned ones that are technically in use but sized for peak load they rarely hit. Rightsizing based on actual usage data typically finds larger savings than hunting for unused instances.
Commit to reserved or committed-use pricing for stable workloads
Workloads with predictable, steady usage are usually cheaper on reserved or committed-use pricing than on-demand rates. Reserve on-demand pricing for genuinely variable or short-lived workloads.
Storage tiering is the most commonly overlooked lever
Data that's rarely accessed but kept on premium storage tiers quietly accumulates cost for years. A basic lifecycle policy moving cold data to cheaper tiers is one of the highest-leverage, lowest-effort optimizations available.
Frequently asked questions
What's the fastest way to reduce cloud costs without an architecture change?
Rightsizing over-provisioned compute instances and moving infrequently accessed storage to a cheaper tier typically deliver the fastest savings without touching application architecture.
Is multi-cloud a good cost optimization strategy?
Rarely, on its own — multi-cloud adds operational overhead that often exceeds the pricing arbitrage gained. It's more often justified by resilience or compliance needs than pure cost savings.