• 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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  • Automating the release process for standalone components in OpenSearch: Addressing challenges and implementing solutions

    Tue, Sep 12, 2023

    The OpenSearch Project is growing quickly and currently has around 600+ contributors who actively participate in the project day to day. The project releases the OpenSearch and OpenSearch Dashboards distributions along with standalone components.

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  • Monitoring your cluster with cluster metrics monitors

    Thu, Sep 07, 2023

    In OpenSearch version 1.3, we added cluster metrics monitors to the Alerting plugin. Cluster metrics monitors allow you to execute popular CAT and cluster API calls against the local cluster and generate alerts based on the metrics reported by those APIs. Cluster metrics monitors support calling the following APIs:

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