AWS EC2 Support
AWS EC2 right-sizing without the risk.
Most EC2 fleets contain instances that are bigger than the work needs, and a few that are too small. We use memory, CPU, network and disk data over weeks, not days, then change instances one safe step at a time.
When You Need This
The situations where this work pays for itself.
Signs it is time
- Your EC2 bill is growing faster than traffic
- Dashboards show CPU consistently below 20 percent
- Instances were sized at launch and never reviewed
- You want to adopt current-generation or Graviton instances
- Burstable instances run out of CPU credits
What you get
- A per-instance sizing table with evidence
- Estimated monthly savings by change
- A scheduled change plan with rollback steps
- Dashboards that show utilization going forward
How we do it
A clear, safe process you can follow along with.
1. Collect the right metrics
CPU alone misleads. We deploy the CloudWatch agent for memory and disk, and include network and EBS throughput.
2. Gather enough history
We look at several weeks so monthly peaks and batch jobs are included.
3. Combine tool recommendations with judgment
AWS Compute Optimizer and Cost Explorer give starting points. We check them against business cycles and application limits.
4. Pick the target
We choose smaller sizes, newer families or Graviton, and check licensing, architecture compatibility and network or EBS limits.
5. Change safely
We resize one step at a time in non-production first, use blue/green or rolling changes for production and keep rollback ready.
6. Lock in the savings
After right-sizing we cover steady usage with Savings Plans and set alarms for regression.
Mistakes we help you avoid
Common ways this goes wrong, and what we do instead.
Sizing on CPU only
A memory-bound database with low CPU can fall over if downsized. We check memory.
Using averages
Peaks matter more than averages. We size for the busy hours.
Buying commitments before right-sizing
Committing first locks in waste. We resize, then commit.
Frequently Asked Questions
How does AWS Compute Optimizer decide?
It analyzes recent utilization metrics and recommends instance types. It needs a minimum amount of metric data, and memory insights require the CloudWatch agent.
Will right-sizing cause downtime?
Changing an instance type requires a stop and start, so we use rolling or blue/green changes for production.
How much can we save?
It depends on how oversized the fleet is. After reviewing your metrics we can estimate savings before you approve any change.
Want Help With AWS EC2 right-sizing without the risk?
Schedule an appointment. Tell us about your environment and we will outline the safest, highest-value approach.
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