AWS Compute Optimizer

UpOpen Sourcecloud by Amazon Web Services★62· JavaScript· MIT

AWS Compute Optimizer API analyzes historical EC2/EBS/Lambda/ECS usage and recommends better instance types/configs for cost savings or performance gains.

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Use it when

Based on at least 14 days of CloudWatch data — recommendations are data-grounded

Watch for

Recommendations consider only historical load, not business seasonality

First check

Enable Compute Optimizer in AWS Console (one-time opt-in). Wait 14 days for recommendations. GetEC2InstanceRecommendations for details.

Auth

—

CORS

HTTPS

Yes

Signup

Latency

43 ms

Protocol

REST

Pricing

—

Stars

Uptime · 30-day window

Probes: 30Uptime: 100%Avg latency: 48ms

GitHub activity

★ 62JavaScriptMIT17 open issuesLast commit 155d ago

About this API

AWS resource waste is widespread in enterprises — running m5.4xlarge with 5% average CPU, Lambda configured at 1GB but P99 uses 100MB, EBS volume IOPS overprovisioned but actual usage 10%. Compute Optimizer uses machine learning on CloudWatch history to tell you "this EC2 can drop to m5.large saving 75%", "this Lambda memory can go from 1GB to 256MB", "this EBS can move from gp3 to gp2". Each recommendation includes expected savings and performance impact. Saves 20-40% of AWS spend for large enterprises. Free to use; only cost is enabling CloudWatch detailed monitoring (some metrics required).

What you can build

1EC2 rightsizing (wasted spend from wrong instance type)
2Lambda memory configuration optimization
3EBS volume type/IOPS optimization
4Identify idle resources for downsizing

Strengths & limitations

Strengths

Based on at least 14 days of CloudWatch data — recommendations are data-grounded
Free (recommendations are free; only implementation costs)
Distinguishes "cost savings" vs "performance" optimization

Limitations

Recommendations consider only historical load, not business seasonality
EC2 type recommendations may not account for existing Reserved Instance commitments

Getting started

Enable Compute Optimizer in AWS Console (one-time opt-in). Wait 14 days for recommendations. GetEC2InstanceRecommendations for details.

FAQ

How accurate are the recommendations?+

Based on 14 days of data — accurate for steady-state load. Spiky load (e.g. end-of-quarter peaks) may produce overly aggressive recommendations — human review needed.

Cost Explorer vs. Compute Optimizer?+

Cost Explorer: how much you spent. Compute Optimizer: how to spend less (specific resource-level recommendations).