Designing a Serverless Data Archiving Pipeline from Couchbase to Cloud Storage

Building a serverless archival pipeline for data-driven applications is essential for compliance, auditing, and cost optimization, as demonstrated by the process of moving documents from Couchbase to Amazon S3. The architecture leverages Couchbase Eventing, Amazon API Gateway, SNS, and AWS Lambda to create a decoupled, scalable, and resilient solution that reacts to document mutations or TTL-based expirations. Couchbase Eventing functions detect documents that need archiving, which then trigger API Gateway to forward them to an SNS topic. This topic invokes a Lambda function that archives the documents in an S3 bucket using a date-based folder structure. The architecture eliminates the need for manual intervention, ensuring efficient and real-time document archiving, while the use of SNS allows for message decoupling and potential fan-out to multiple consumers. This solution not only enhances performance and scalability but also maintains cost-effectiveness and data retention for historical analysis.