Cost Optimization Use Cases

Delete elastic IPs that are no longer in use for cost optimization benefits.

Update desired task instantiation counts across any number of ECS services. Cache existing settings & restore to an accompanying rule.

Choose times during the week to schedule your RDS Instances to turn on and off. Take advantage of predictable load and usage cycles to leverage the flexibility of the cloud.

Create rules to schedule EC2 Instances based on your anticipated usage. Works best with predictable cycling for non-production environments.

Define time based workflows for EBS deletion to save storage in your AWS account and optimize cost on EBS Volumes, EBS Snapshots & EBS AMIs.

Anticipate cycles in compute demand to schedule azure autoscale settings resulting in fully optimized infrastructure at all times.

Determine the best start times and deallocate times to schedule Azure VMs to come up and down, resulting in significant cost savings.

Take your cyclical fluctuations in demand for compute and set auto scaling schedules to ensure you have the appropriate infrastructure available.

Set up a scheduled rule to automatically delete orphaned snapshots. Delete any snapshots whereby the referenced AMI no longer exists.

Create AWS alerts to track spend for any service or infrastructure usage. Alert yourself or team members in Slack or Email.

Create rules to automate and schedule scaling of DynamoDB throughput based on your anticipated troughs and peaks in usage.