• Introducing real-time Root Cause Analysis Engine in Elasticsearch

    Thu, Jul 09, 2020

    We are excited to release the real-time Root Cause Analysis engine for Elasticsearch in Open Distro for Elasticsearch version 1.9.0. The RCA engine enables operators to diagnose and identify bottlenecks in their Elasticsearch clusters. This is a value-add feature on top of the current array of low-level metrics they have access to with Performance Analyzer. Operators can leverage the RCA...

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  • An overview of the SQL Engine in Open Distro for Elasticsearch

    Fri, Jun 12, 2020

    Open Distro for Elasticsearch is a popular choice for use cases such as log analytics, search, real-time application monitoring and click-stream analysis and more. One commonality among the various use cases is the need to write and run queries to obtain search results at lightning speed, and that in turn, requires the user to have expertise in the JSON based...

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  • Open Distro for Elasticsearch 1.8.0 is released, supports Cosine Similarity in k-NN

    Tue, Jun 02, 2020

    We are pleased to announce the release for Open Distro for Elasticsearch 1.8.0. that now supports cosine similarity distance metric with k-NN. We released k-NN similarity search feature in Open Distro for Elasticsearch 1.4.0 with support for Euclidean distance to calculate similarity between the vectors. With cosine similarity, you can now measure the orientation between two vectors while Euclidean distance...

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  • Index State Management in Open Distro for Elasticsearch

    Fri, May 15, 2020

    Elasticsearch is an open source distributed search and analytics engine based on Apache Lucene. After adding your data to Elasticsearch, you can perform full-text searches on the data with all of the features you may expect: search by field, search multiple indices, boost fields, rank results by score, sort results by field, and aggregate results. You can also use Kibana...

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  • Real-time Anomaly Detection is now available in Open Distro for Elasticsearch 1.7.0

    Thu, May 14, 2020

    We are excited to announce the general availability of real-time anomaly detection for streaming applications in this release. We would like to thank the community for their feedback on the preview release of the feature. The anomaly detection feature is built on RCF (Random Cut Forest), an unsupervised algorithm, that detects anomalies on live data and identifies issues as they...

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