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Automating Monthly Data Deletion for Aurora MySQL with ECS, EventBridge, and DynamoDB
- Automating Monthly Data Deletion for Aurora MySQL with ECS, EventBridge, and DynamoDB
- Manually deleting data in Aurora MySQL is highly inefficient, so a mechanism was implemented to automate the deletion process monthly using batch processing that runs daily.
- Initially, EventBridge and Lambda were considered for handling the batch process, but Lambda's maximum timeout wasn't sufficient, so ECS on Fargate was used instead.
- DynamoDB was chosen to track data deleted and progress made, as it offers a free tier for storing deletion progress.
- Steps to implement include creating a DynamoDB table, a security group for ECS, an ECR repository and ECS task definition, and an EventBridge schedule.
- Security group rules are configured to allow the ECS task to access Aurora and DynamoDB, and MySQL connection details are retrieved from environment variables.
- The Python script for deleting records from operations table in Aurora MySQL for each month from April 2022 to May 2024 is also shared.
- This solution overcomes limitations of Lambda and provides scalability and efficiency in data deletion for Aurora MySQL.
- DynamoDB's free tier allows for cost-effective progress tracking, and this solution can be adapted to various use cases of large-scale data management.
- Data deletion success was confirmed by checking the CloudWatch logs.
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