Remove unwanted AMI's: Periodically audit for unwanted AMI's in your dev/test/production environment and remove them. Tagging the AMI's with proper identifiers can help you during the cleansing process.
EBS snapshots are incremental in nature and only the changes are moved to them. The unwanted snapshots should be periodically identified (Tagging snapshots will help you) and deleted as part of your IT Infrastructure operations. EBS snapshots are priced $0.095 per GB-month of data stored and you can save few hundred $$$ depending upon the volume of unwanted snapshots stored.To know more about EBS Snapshots
EBS Volumes: In development and testing environments of large enterprises we can often find lots of EBS volumes provisioned and lying unattached or unused. EBS Volumes are priced at $0.10 per GB-month of provisioned storage. Usually 10-30 GB are the most used volume ranges for the dev/test. Imagine a enterprise having few hundred EC2's for their Dev/Test infrastructure and 10-25% of their storage are unused, Periodically identifying , tagging, consolidating and cleansing them will save few hundred to thousands of $$$ for the enterprises.To know more about EBS Volumes
S3 Buckets and Objects: Unused objects in S3 buckets have to be frequently deleted. Objects with a limited life period can be configured to expire dynamically using S3 object expiration policies. Objects that are rarely used can be archived to Amazon Glacier from S3. This exercise is an important candidate for Media and online companies using AWS. To know more about other S3 Cost saving tips 1 | 2.
Elastic IP is a scarce resource in AWS cloud, in event the EIP's attached to your account are not associated with any running EC2 instance, you will be charged $0.005 per hour on a prorata basis.
EIP's can usually be leaked in:
- Dev/Test environments, where the developer disassociates the EIP and keeps it unused.
- In production, where sometimes EIP are assigned to Auto Scaled EC2 instances using scripts and they are not properly released back after EC2 instances are terminated by AWS.
Though if the EIP is kept unused can lead to around only ~$3.5 leakage per month, if no proper tracking procedures are in place many such EIP's can be residing in your account unused and lead to more such leakages.
ELB: Unused and Unwanted Elastic Load Balancers should be removed periodically to avoid cost leakage. A single ELB can cost around ~216 USD if kept unused a year. Usually ELB leakage is prone to happen in Dev/Test environments compared to production. To know more about Amazon ELB
Monitoring : Detailed monitoring option of CloudWatch is generally not required for Development EC2 instances. On the other hand, they are required on Load Testing and Production environments for monitoring the health. Custom Metrics are also good candidates for Production and Load Test environments. Constant review of the infrastructure in AWS has to be done to identify whether such resources(over provisioning) are associated with Dev/Test env and related cost leakages can be avoided.Detailed monitoring costs $3.50 per instance per month, provided at 1-minute frequency and Custom Metrics costs $0.50 per metric per month.
Glacier archives : Amazon Glacier is designed for use cases where data is retained for months, years, or decades. But there are times where you may find some data life has expired and they can be removed. Deleting data from Amazon Glacier is free if the archive being deleted has been stored for three months or longer. Please ensure it is part of you IT process. To know more about other Cost savings in Glacier 1 | 2 | 3
Other small stuff :
- AWS charges $1.00 per month for inactive data pipelines. They should be periodically reviewed for leakages.
Note:
- There are times where an AWS asset can be created in a non frequently used AWS Region mistakenly by a developer and it can be lying idle for months. Have an automated or manual IT process to periodically cleanse the above leakages points in "ALL" AWS Regions and not just your most frequently used regions.
- Many times on large AWS deployments/Dev/Test environments, it becomes difficult to track who created and who is currently using the AWS resources. AMI's, EBS snapshots, Volumes and S3 buckets should be tagged for proper identification. Identifiable names should be kept for other assets (wherever applicable) , so that it helps your IT team during the cleansing process.
- Employ automation using scripts/programs or use governance tools ( which i will be discussing later) to monitor under utilization of resources and there by remove them.
Other Cost Saving Tips
Cost Saving Tip 1: Amazon SQS Long Polling and Batch requests
Cost Saving Tip 2: How right search technology choice saves cost in AWS ?
Cost Saving Tip 3: Using Amazon CloudFront Price Class to minimize costs
Cost Saving Tip 4 : Right Sizing Amazon ElastiCache Cluster
Cost Saving Tip 5: How Amazon Auto Scaling can save costs ?
Cost Saving Tip 6: Amazon Auto Scaling Termination policy and savings
Cost Saving Tip 7: Use Amazon S3 Object Expiration
Cost Saving Tip 8: Use Amazon S3 Reduced Redundancy Storage
Cost Saving Tip 9: Have efficient EBS Snapshots Retention strategy in place
Cost Saving Tip 10: Make right choice between PIOPS vs Std EBS volumes and save costs
Cost Saving Tip 11: How elastic thinking saves cost in Amazon EMR Clusters ?
Cost Saving Tip 12: Add Spot Instances with Amazon EMR
Cost Saving Tip 13: Use Amazon Glacier for archive data and save costs (new)
Cost Saving Tip 14: Plan your deletion in Amazon Glacier and avoid cost leakage (new)
Cost Saving Tip 1: Amazon SQS Long Polling and Batch requests
Cost Saving Tip 2: How right search technology choice saves cost in AWS ?
Cost Saving Tip 3: Using Amazon CloudFront Price Class to minimize costs
Cost Saving Tip 4 : Right Sizing Amazon ElastiCache Cluster
Cost Saving Tip 5: How Amazon Auto Scaling can save costs ?
Cost Saving Tip 6: Amazon Auto Scaling Termination policy and savings
Cost Saving Tip 7: Use Amazon S3 Object Expiration
Cost Saving Tip 8: Use Amazon S3 Reduced Redundancy Storage
Cost Saving Tip 9: Have efficient EBS Snapshots Retention strategy in place
Cost Saving Tip 10: Make right choice between PIOPS vs Std EBS volumes and save costs
Cost Saving Tip 11: How elastic thinking saves cost in Amazon EMR Clusters ?
Cost Saving Tip 12: Add Spot Instances with Amazon EMR
Cost Saving Tip 13: Use Amazon Glacier for archive data and save costs (new)
Cost Saving Tip 14: Plan your deletion in Amazon Glacier and avoid cost leakage (new)
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