aws-samples/opensearch-serverless-common-usage-patterns

Typical use cases of opensearch serverelss: search, time-series, kinesis firehose integration, securing with VPC

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This project provides practical examples for integrating Amazon OpenSearch Serverless into your cloud infrastructure. It shows how to set up serverless search for various data types, handle time-series data, implement vector search, and configure secure access within a Virtual Private Cloud (VPC). Cloud architects and DevOps engineers can use these patterns to build scalable and cost-effective search and analytics solutions without managing servers.

No commits in the last 6 months.

Use this if you are an AWS cloud architect or DevOps engineer looking for validated patterns to implement OpenSearch Serverless for search, time-series analysis, or vector search in a secure and scalable way.

Not ideal if you are looking for an end-user application or a client-side library to interact with an existing OpenSearch cluster, as this focuses on serverless infrastructure setup.

cloud-architecture DevOps AWS search-infrastructure time-series-analytics
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 8 / 25

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19

Forks

2

Language

Python

License

MIT-0

Last pushed

Jun 10, 2025

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