Cloud bills tend to grow quietly, a resource at a time, until a business is paying for infrastructure nobody remembers provisioning. A real audit usually finds savings in the same handful of places.
Resources that were never cleaned up
Test environments, old staging servers, and unattached storage volumes from a project that wrapped up months ago keep accruing cost long after anyone’s using them, simply because deprovisioning isn’t anyone’s explicit job.
Over-provisioned instances
Servers sized for a peak load that happens rarely, running at that size continuously, is a common and expensive default. Right-sizing based on actual usage, with auto-scaling for genuine peaks, usually finds meaningful savings without any impact on performance.
No reserved capacity for predictable workloads
On-demand pricing is convenient but expensive for workloads that are known to run continuously. Reserved instances or committed-use discounts, for the baseline load you know you’ll always need, are often a straightforward, low-risk saving that simply requires someone to actually review usage patterns and commit.
Data transfer costs nobody’s watching
Costs for moving data between regions, or out to the public internet, are easy to overlook until a usage pattern change quietly makes them a significant line item.
The fix is a recurring habit, not a one-time audit
A single cleanup pass helps, but cloud usage drifts again without a regular review. Treating cost review as a recurring, scheduled task — not a one-time emergency response to a surprising bill — is what keeps the savings from eroding back to where they started.