Streamline data management at scale by automating the creation of Amazon S3 Batch Operations jobs
Storage Blog
This article discusses how to automate the creation and execution of Amazon S3 Batch Operations jobs using a serverless architecture. Automating these data management tasks can help enterprises tackle operational overhead and improve efficiency when managing large data sets in Amazon S3.
Specifically, the article covers:
- Overview of the serverless architecture using AWS services like CloudTrail, EventBridge, Lambda, and S3
- How to create a job bundle file with job details and manifest files for configuring the Batch Operations job
- Triggering a Lambda function via EventBridge when the job bundle is uploaded to an S3 bucket
- Lambda function parsing the job bundle and creating the Batch Operations job via API calls
- Monitoring job status and retrieving completion reports
- Conclusion highlighting benefits of automating data management with S3 Batch Operations
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