Cloud waste rarely comes from one big mistake. It accumulates quietly: an oversized instance here, an orphaned volume there, a dev environment that runs weekends. When teams go looking, the savings tend to come from the same five places.
1. Right-sizing
Most workloads are provisioned for peak-day traffic and run at a fraction of that utilization the rest of the time. Autoscaling groups, burstable instances, and honest load testing fix this.
2. Orphaned resources
Unattached disks, idle load balancers, forgotten snapshots, and zombie dev environments. Tag everything, then automate cleanup of anything untagged.
3. Storage tiers
Data that hasn't been read in a year doesn't belong on premium SSD. Lifecycle policies that move cold data to archive tiers can cut storage line items substantially — archive tiers are typically an order of magnitude cheaper per GB than hot storage.
4. Commitment discounts
If your baseline load is predictable, reserved instances and savings plans are close to free money. AWS, Azure and Google all publish discounts in the region of 30–60% off on-demand list price for one- and three-year commitments you were going to make anyway.
5. Data transfer
The sneakiest line item. Cross-zone chatter, unnecessary egress, and un-cached assets add up quietly, and they rarely show up on a dashboard anyone watches. An architecture review focused purely on data flow is often where the surprises turn up.
The best part: none of these reduce capability. It's the same system, engineered properly.