
AWS SaaS providers can implement scalable multi-tenant data ingestion using API Gateway, Kinesis Data Streams, Kinesis Data Analytics for Apache Flink, and Kinesis Data Firehose to securely capture, process, and store tenant events with proper isolation and partitioning.


<div><p>This article describes a multi-tenant SaaS data ingestion architecture using AWS services, with a working example solution available on GitHub.</p><ul><li>API Gateway authenticates tenant requests using Lambda Authorizer and JWT validation</li><li>Tenant ID extracted from JWT and propagated through entire ingestion pipeline</li><li>Kinesis Data Streams collects streaming events with tenant ID as partition key</li><li>Kinesis Data Analytics for Apache Flink enriches data with tenant ID and timestamp</li><li>Kinesis Data Firehose delivers data to S3 using dynamic partitioning by tenant</li><li>S3 prefix-per-tenant model enables secure data isolation and IAM policies</li><li>Key design considerations: scaling, security, resource management, operational efficiency</li></ul><p>The solution provides a scalable, secure multi-tenant data pipeline that maintains tenant isolation throughout the ingestion and storage process.</p></div>


Related articles