Create rules to automate and schedule scaling of DynamoDB throughput based on your anticipated troughs and peaks in usage.
Create AWS alerts to track spend for any service or infrastructure usage. Alert yourself or team members in Slack or E-mail.
Detect and delete detached EBS volumes based on the period for which they have been detached, their tags and the region that they’re stored in.
Set up a scheduled rule to automatically delete orphaned snapshots. Delete any snapshots whereby the referenced AMI no longer exists.
Delete elastic IPs that are no longer in use for cost optimization benefits.
Take your cyclical fluctuations in demand for compute and set auto scaling schedules to ensure you have the appropriate infrastructure available.
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.
Define time based workflows for EBS deletion to save storage in your AWS account and optimize cost on EBS Volumes, EBS Snapshots & EBS AMIs.
Create rules to schedule EC2 Instances based on your anticipated usage. Works best with predictable cycling for non-production environments.
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.
Perform an update on the Iops settings for io1 type EBS volumes to automate EC2 and EBS in tandem.
Update desired task instantiation counts across any number of ECS services. Cache existing settings & restore to an accompanying rule.