Amazon OpenSearch Service is a managed service that makes it easy to deploy, operate, and scale Elasticsearch, which is a popular open-source search and analytics engine. Amazon OpenSearch Service provides free-text search as well as near real-time ingestion and dashboarding for streaming data such as logs and metrics.
Software as a service (SaaS) providers frequently use Amazon OpenSearch Service to address a broad range of use cases, such as gaining customer insights in a scalable and secure way while reducing complexity and downtime.
Using Amazon OpenSearch Service in a multi-tenant environment introduces a series of considerations that affect partitioning, isolation, deployment, and management of your SaaS solution. SaaS providers have to consider how to effectively scale their Elasticsearch clusters with continually shifting workloads. They also need to consider how tiering and noisy neighbor conditions could impact their partitioning model.
This pattern reviews the models that are used to represent and isolate tenant data with Elasticsearch constructs. In addition, the pattern focuses on a simple serverless reference architecture as an example to demonstrate indexing and searching using Amazon OpenSearch Service in a multi-tenant environment. It implements the pool data partitioning model, which shares the same index among all tenants while maintaining a tenant's data isolation. This pattern uses the following Amazon Web Services (AWS) services: Amazon API Gateway, AWS Lambda, Amazon Simple Storage Service (Amazon S3), and Amazon OpenSearch Service .
For more information about the pool model and other data partitioning models, see the Additional information section.
