• Improved durability in OpenSearch with remote-backed storage

    Wed, Sep 27, 2023

    We are excited to announce remote-backed storage, a new feature that enables request-level durability with remote storage options like Amazon Simple Storage Service (Amazon S3), Oracle Cloud Infrastructure Object Storage, Azure Blob Storage, and Google Cloud Storage. This was introduced as an experimental feature in OpenSearch 2.3 and is now generally available in OpenSearch 2.10. With this feature, users can...

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  • Exploring OpenSearch 2.10

    Mon, Sep 25, 2023

    OpenSearch 2.10 is ready to download, with new tools for search, security, and machine learning applications, improved storage durability options, a better way to analyze and visualize your data in OpenSearch Dashboards, and more. This release also brings exciting new experimental functionality, including built-in support for conversational search applications. For a comprehensive look at everything that’s new, check out the...

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  • OpenSearch search personas: Creating Figma templates to represent a persona framework

    Fri, Sep 22, 2023

    There is a popular perception that open-source projects are poorly designed. The challenges that open-source software designers face include more than just GitHub requiring coding skills.Although open-source software is a collaborative effort, designers face many barriers to collaborating and contributing. Designers may not be aware of the existence of the project. Additionally, designers may have a hard time discovering the...

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  • OpenSearch Security: A Testament to Our Commitment

    Mon, Sep 18, 2023

    In OpenSearch, there’s an understanding that security isn’t just a feature, but a foundational part of our software. Today, we’re excited to discuss the findings of a recent in-depth independent security audit of our software, shedding light on our ongoing efforts to ensure OpenSearch remains a trusted product for our community.

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  • Use OpenSearch Benchmark with Randomized Query Terms

    Thu, Sep 14, 2023

    Performance testing is part science and part art. On the measurement side, you employ science to run test cases, collect and visualize metrics, and evaluate results. On the test creation side, you use intuition and understanding to make sure that you build coverage across the use cases and data that will comprise the majority of the uses of OpenSearch.

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