AutoComputeOptimizer

Easy to configure automation to automatically apply AWS Compute Optimizer recommendations on EC2 instances It uses CloudFormation, Lambda, CloudWatch Events and AWS Compute Optimizer (should be already working on the account)

You can select the frequency to check the recommendatios, set the time when should be apply and the type of recommendations: Overprovisioned, Underprovisioned or Both.

You have to define a TAG to select the EC2 Instances affected by the Automation.

Version 0.6

Files:

• autoComputeOptimizer-template.yml, CloudFormation template to Run in your account, it is already in a public S3 bucket

• autocomputeoptimizer.py, Lambda code that actually do the job of implementing the recommendations, source code only for reviewing

• autocomputeoptimizer.zip, Zip file used by the template to deploy de Lambda, it is already in a public S3 Bucket

How To Deploy

Use AWS CloudFormation to deploy the following template:

https://higher-artifacts.s3.amazonaws.com/autoComputeOptimizer-template.yml

Parameters:

• Env Tag, use to identified the components of the template

• Selection Tag Key, sets the Tag used to identify the EC2 Instances

• Selection Tag Value, sets the Value of the Tag to identify the EC2 Instances

• Frequency, specify how often the recommendations will be applied (in days)

• Time, specify at what time the changes to the EC2 Instances will occur (downtime requiered) (UTC 24 hours syntax)

• Recommendation Type, specify which kind of recommendations to apply: Underprovisioned, Overprovisioned, Both

• Tolerable Risk, select the maximum tolerable Risk of the recommendation to apply

If you edit the template remember to use LF end of lines.

Update KMS user policy if you find troubles starting again the instances.

Notes:

• Function DOES modify EC2 Instances types (this will require a reboot)

• Function DOES NOT modify EC2 Instances of an AutoScaling Group

• You can set a Tag Key and Value to select the group of EC2 Instances to be evaluated

To-Do

• Make a more restrict EC2,KMS policy for the Lambda

• A better error management

• Evaluate the AutoScaling Group Recommendations