What is Life Cycle Management?
Amazon S3's Lifecycle Management allows users to define rules for the automatic transitioning of data to different storage classes or the deletion of data. This ensures optimal cost management, aligns with data retrieval needs, and automates the cleanup of redundant or outdated data.Understanding Storage Classes:
Before diving into how to set up Lifecycle Management, it's crucial to understand the different storage classes available in Amazon S3, as they serve as target destinations in your transition rules:
- STANDARD: Ideal for frequently accessed data and designed for durability. Suitable for big data analytics, mobile and gaming applications, content distribution, and backups.
- INTELLIGENT-TIERING: Perfect for data with unpredictable access patterns. Objects can be transitioned to this storage class after 30 days of creation. This class automatically moves objects between frequent and infrequent access tiers based on changing access patterns.
- ONEZONE-IA (Infrequent Access): For data that's infrequently accessed but needs quick access when required. Data is stored in a single availability zone. Objects can be transitioned to this storage class after 30 days of creation.
- GLACIER: Suitable for archiving data with retrieval times ranging from minutes to hours. It's a cost-effective solution for long-term archival. Objects can be transitioned to GLACIER after 90 days of creation.
- GLACIER DEEP ARCHIVE: The most cost-effective storage class designed for archival data that's accessed once or twice in a year and can tolerate retrieval times of 12 hours. Objects can be transitioned to GLACIER DEEP ARCHIVE after 180 days of creation.
- STANDARD-IA (Infrequent Access): This class is for data that's less frequently accessed, but when required, needs rapid access. It's a good fit for data like backups or older data not used regularly but necessary for unforeseen retrieval needs. Objects can be transitioned to this storage class after 30 days of creation.
Note: These transition durations mentioned above are typically suggested default durations and can be customized as per your requirements when setting up lifecycle policies in AWS S3.