Author: Peter Yang

SaaS is about achieving innovation and growth through efficient operations. SaaS application should be managed, operated, and scaled through a single management experience that increase this operational efficiency. In this post, we explore three distinct SaaS Anywhere patterns that we’ve identified and delve into the essential business drivers and associated considerations for each pattern. We’ll examine the challenges one should keep in mind when handling and overseeing a solution using the SaaS Anywhere deployment model.

In this post, delve into the process of detecting tenant activities within microservices spanning multiple AWS accounts. We provide insights into instrumenting AWS Lambda functions to include tenant information in tracing using ADOT and demonstrated how to establish a service map across several AWS accounts using Amazon CloudWatch. By leveraging AWS observability technology, SaaS providers can enhance operational efficiency and redirect their attention towards their desired development goals.

AWS experts break down how you can build a multi-tenant data ingestion and processing engine using AWS services. We examine each component of this data pipeline and examine some of the key considerations that can influence how you approach designing a SaaS multi-tenant data ingestion process. We also explore how multi-tenant streaming data can be ingested, transformed, and stored using AWS services while ensuring there are constructs built in to the pipeline to ensure secure processing of the data.