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Elastic — The Search AI Company Effortless Elasticsearch management — AutoOps is here, and it's free for Elastic Cloud customers Read the blog
Elastic Docs Solutions and use cases Elasticsearch Build powerful search and RAG applications using Elasticsearch's vector database, AI toolkit, and advanced retrieval capabilities
Elasticsearch：官方分布式搜索和分析引擎 | Elastic Elasticsearch powers observability solutions with scalable data ingestion, fast search, and advanced analytics — helping teams detect issues, troubleshoot performance, and optimize system health efficiently
Elastic Stack: (ELK) Elasticsearch, Kibana Logstash It's comprised of Elasticsearch, Kibana, Beats, and Logstash (also known as the ELK Stack) and more Reliably and securely take data from any source, in any format, then search, analyze, and visualize
Deploy an Elasticsearch cluster | Elastic Docs In production, we recommend you run Elasticsearch on a dedicated host or as a primary service Several Elasticsearch features, such as automatic JVM heap sizing, assume that Elasticsearch is the only resource-intensive application on the host or container
Install Elasticsearch with Docker | Elastic Docs Docker images for Elasticsearch are available from the Elastic Docker registry A list of all published Docker images and tags is available at www docker elastic co
Download and provision Elastic Products Download Elasticsearch to get started with search, observability, and security for free Deploy on Elastic Cloud (hosted or serverless), run it yourself on-premises, or use our official Kubernetes operator
Configure Elasticsearch with Docker | Elastic Docs You can set individual Elasticsearch configuration parameters using Docker environment variables The sample compose file and the single-node example use this method