Blog
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Using community insights to create a persona framework to improve search experiences
As the OpenSearch Project began user experience (UX) research, clarifying the persona framework was essential. Using a goals-based approach, we defined the search user, user flows, and user dependencies. In prior studies, the OpenSearch community validated four OpenSearch core user types. In this research study, we focused on producers of search solutions. This blog post explains more about our study...
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Overlaying anomalies and alerts on OpenSearch Dashboards visualizations
We have some exciting news to share with you!
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Partner Highlight: AWS releases Amazon Personalize Search Ranking for self-managed OpenSearch
OpenSearch partner and contributor AWS recently released Amazon Personalize Search Ranking, a new plugin for self-managed OpenSearch that helps users leverage the deep learning capabilities offered by Amazon Personalize and apply personalization to their search results.
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Introducing extensions for OpenSearch
Extensions is a new experimental feature in OpenSearch 2.9 that allows you to extend OpenSearch and independently scale workloads without impacting cluster availability. In this blog post, we will introduce extensions and compare them to plugins. Using a 36-node cluster running a machine learning algorithm that performs high-cardinality anomaly detection, we’ll demonstrate how we have achieved a cost reduction of...
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Introducing OpenSearch 2.9.0
OpenSearch 2.9.0 is ready to download, with new features designed to help you build better search solutions and integrate more machine learning (ML) into your applications, along with updates for security analytics workloads, geospatial visualizations, and more. This release also provides new compression codecs that offer significant performance improvements and reduced index sizes. For developers, an experimental extensions software development...
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