AWS cost optimization
How to right-size EC2 without putting performance at risk
A practical workflow for finding idle capacity, validating a safer target size, and measuring the result after the change.
Start with workload evidence, not list price
A lower hourly price is only a saving if the workload remains reliable. Begin with at least two representative weeks of CPU, memory, network, disk throughput, and latency data. Include a known busy period so the target is sized for reality rather than an average that hides peaks.
Separate steady workloads from burstable or scheduled workloads. Their safe headroom and purchasing strategy will be different.
Build a short, testable candidate list
Use the BigBell Coin specification and pricing tables to compare instances with the architecture, memory ratio, network performance, and storage limits your application needs. Prefer current-generation families where application compatibility is already proven.
- Keep observed peak utilization below an agreed engineering threshold.
- Check EBS bandwidth and IOPS limits, not only vCPU and memory.
- Validate Arm and x86 dependencies before changing processor architecture.
- Compare On-Demand, one-year, and three-year effective prices.
Change safely and verify the saving
Test the candidate in a non-production or canary environment, then schedule the production change with a rollback path. After deployment, monitor saturation, latency, error rate, and queue depth alongside the new daily cost.
Treat right-sizing as a recurring process. Traffic and application behavior change, so a good decision today should be revalidated later.