⭐ Repository → 💼 AWS Well-Architected → 💼 Cost Optimization → 💼 Expenditure and usage awareness → 💼 Decommission resources
💼 COST04-BP05 Enforce data retention policies
- ID:
/frameworks/aws-well-architected/cost-optimization/expenditure-and-usage-awareness/cost04/bp05
Description
Define data retention policies on supported resources to handle object deletion per your organizations’ requirements. Identify and delete unnecessary or orphaned resources and objects that are no longer required.
Level of risk exposed if this best practice is not established: Medium
Implementation guidance
Use data retention policies and lifecycle policies to reduce the associated costs of the decommissioning process and storage costs for the identified resources. Defining your data retention policies and lifecycle policies to perform automated storage class migration and deletion will reduce the overall storage costs during its lifetime. You can use Amazon Data Lifecycle Manager to automate the creation and deletion of Amazon Elastic Block Store snapshots and Amazon EBS-backed Amazon Machine Images (AMIs), and use Amazon S3 Intelligent-Tiering or an Amazon S3 lifecycle configuration to manage the lifecycle of your Amazon S3 objects. You can also implement custom code using the API or SDK to create lifecycle policies and policy rules for objects to be deleted automatically.
Implementation steps
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Use Amazon Data Lifecycle Manager: Use lifecycle policies on Amazon Data Lifecycle Manager to automate deletion of Amazon EBS snapshots and Amazon EBS-backed AMIs.
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Set up lifecycle configuration on a bucket: Use Amazon S3 lifecycle configuration on a bucket to define actions for Amazon S3 to take during an object's lifecycle, including automatic deletion at the end of the object's lifecycle, based on your business requirements.
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Sub Sections
| Section | Sub Sections | Internal Rules | Policies | Flags | Compliance |
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