AWS S3 Cache TTL Expiration Pipeline
About This Architecture
AWS S3 Cache TTL Expiration Pipeline automates the detection and removal of expired cached objects using EventBridge, Lambda, and S3 Batch Operations. Daily or weekly cron triggers evaluate S3 Log Bucket entries partitioned by date, query expiration status via Athena, and execute bulk deletion on the S3 Cache Bucket. This serverless architecture eliminates manual cache management, reduces storage costs, and maintains compliance with retention policies through CloudWatch monitoring and KMS encryption. Fork this diagram on Diagrams.so to customize cron schedules, TTL thresholds, or add SNS notifications for expiration events.
People also ask
How do I automatically expire cached objects in AWS S3 based on TTL policies?
This diagram shows a serverless pipeline where EventBridge triggers Lambda on a daily or weekly schedule to evaluate S3 Log Bucket entries, query expiration status via Athena, and execute bulk deletion through S3 Batch Operations. The architecture uses KMS encryption for security and CloudWatch for monitoring, eliminating manual cache management and reducing storage costs.
- Domain:
- Cloud Aws
- Audience:
- AWS solutions architects designing automated cache lifecycle management and data retention policies
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