• The Elasticsearch Weight Function

    Thu, Apr 16, 2020

    Distributed systems scale by coordinating and distributing their workloads horizontally, across several machines. In Elasticsearch, this is done by partitioning indexes into shards and distributing them across data nodes in the cluster.

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  • Build K-Nearest Neighbor (k-NN) Similarity Search Engine with Elasticsearch

    Mon, Apr 06, 2020

    Since the OpenSearch Project introduced the k-nearest neighbor plugin in 2019, it has supported both exact and approximate k-NN search. The approximate k-NN search method is more efficient for large datasets with high dimensionality because it reduces the cardinality of searchable vectors. This approach is superior in speed at the cost of a slight reduction in accuracy.

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  • Open Distro for Elasticsearch 1.6.0 Released

    Thu, Apr 02, 2020

    Open Distro for Elasticsearch 1.6.0 is now available for download.

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  • Open Distro for Elasticsearch 1.4.0 with K-nearest neighbor (k-NN) search support is now available

    Tue, Feb 11, 2020

    We are happy to announce the release of Open Distro for Elasticsearch 1.4.0. Version 1.4.0 includes the upstream open source versions of Elasticsearch 7.4.2, Kibana 7.4.2 and the latest updates for the alerting, SQL, security, performance analyzer and Kibana plugins. We are also pleased to announce the general availability of Open Distro for Elasticsearch k-NN plugin, and installer for Windows...

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  • Real Time Root Cause Analysis in Open Distro for Elasticsearch

    Thu, Dec 19, 2019

    The Open Distro for Elasticsearch Performance Analyzer captures Elasticsearch and JVM activity, as well as lower-level resource usage (e.g. disk, network, CPU and memory) of these activities. Based on this instrumentation, Performance Analyzer computes and exposes diagnostic metrics, with the goal of enabling Elasticsearch users and administrators to measure and understand bottlenecks in their Elasticsearch clusters. The Open Distro for...

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