OpenSearch: How the Project Went from Fork to Foundation
Nov 26, 2024
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Anandhi Bumstead, Director of Software Engineering at AWS, shares insights on OpenSearch’s fascinating evolution from a fork of Elasticsearch to a project under the Linux Foundation. She discusses the importance of neutral governance and community engagement, enhancing its versatility across analytics and security. Performance boosts are notable, with the latest release showing 6.5x faster query performance. Anandhi emphasizes the need for open source innovation, calling for community contributions to further elevate OpenSearch’s capabilities, especially in AI integration.
OpenSearch's transition to the Linux Foundation fosters neutral governance, enhancing community collaboration and driving the project's open-source mission forward.
Significant performance improvements in OpenSearch 2.17 demonstrate its evolving capabilities, positioning it effectively for advanced data management in Generative AI applications.
Deep dives
Creation and Philosophy of OpenSearch
OpenSearch was initiated as a response to the licensing changes implemented by Elastic for its Elasticsearch service, which shifted to a more restrictive model. The decision to fork from Elasticsearch allowed OpenSearch to establish itself as a truly open-source alternative under the Apache 2.0 license, prioritizing community insights and requirements. The focus has since been on fostering innovation and maintaining transparency within the OpenSearch project, which continues to evolve in response to user feedback. This commitment to open governance reflects a broader trend of ensuring open-source software remains accessible and collaborative.
The Role of OpenSearch in Gen AI and Performance Enhancements
OpenSearch has emerged as a pivotal tool in the growing landscape of Generative AI, offering capabilities to efficiently manage data ingestion and querying large language models. Recent updates, such as the OpenSearch 2.17 release, showcased significant performance improvements, reporting query speeds up to 6.5 times faster than earlier versions, and 25% higher indexing throughput. The integration of advanced techniques like segment replication and collaborations with companies such as Intel for better compression exemplify the continuous optimization efforts aimed at enhancing performance. As AI applications demand more efficient resource management, OpenSearch is well-positioned to meet these challenges with robust solutions.
Community Engagement and Future Growth of OpenSearch
To thrive within the open-source community, OpenSearch emphasizes the necessity of collaboration and contribution from various stakeholders, particularly from companies utilizing the software. A recent initiative includes the formation of a technical steering committee comprising representatives across multiple organizations, furthering the project's governance and innovation. Raising awareness about OpenSearch and its potential use cases is critical, as is the enhancement of documentation and training resources to better support users. As OpenSearch strives to expand its user base and contributions, fostering a culture of engagement and mutual benefits is essential for its ongoing development and success.
At All Things Open in October, Anandhi Bumstead, AWS’s director of software engineering, highlighted OpenSearch's journey and the advantages of the Linux Foundation's stewardship. OpenSearch, an open source data ingestion and analytics engine, was transferred by Amazon Web Services (AWS) to the Linux Foundation in September 2024, seeking neutral governance and broader community collaboration. Originally forked from Elasticsearch after a licensing change in 2021, OpenSearch has evolved into a versatile platform likened to a “Swiss Army knife” for its broad use cases, including observability, log and security analytics, alert detection, and semantic and hybrid search, particularly in generative AI applications.
Despite criticism over slower indexing speeds compared to Elasticsearch, significant performance improvements have been made. The latest release, OpenSearch 2.17, delivers 6.5x faster query performance and a 25% indexing improvement due to segment replication. Future efforts aim to enhance indexing, search, storage, and vector capabilities while optimizing costs and efficiency. Contributions are welcomed via opensearch.org.
Learn more from The New Stack about deploying applications on OpenSearch