Elasticsearch Download overview
In this section you can download additional Elasticsearch examples and ready to use content. Elasticsearch is a search engine based on the Lucene library. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. Elasticsearch content could be Watcher jobs, Index node pipeline scripts and much more.
Elasticsearch downloads
Elasticsearch Performance Troubleshooting Kit
Download the Elasticsearch Performance Troubleshooting Kit to efficiently diagnose and resolve slow query issues in your Elasticsearch environment.
Watcher job to integrate ChatGPT in Elasticsearch
Watcher job to integrate ChatGPT API from OpenAI in Elasticsearch. Helpful to find solutions for error messages very quick.
Impossible travel transform job
Impossible travel detection by calculating the distance between two login locations in combination with the time between the two logins
Terraform Elasticsearch environments
Terraform example scripts to deploy Elastic Cloud Clusters + all necessary components in AWS and GCP
Elastic Stack Monitoring Dashboard
Kibana dashboards that is showing the monitoring data collected by Elastics in built monitoring capabilities.
Download prebuilt Kibana dashboards for your Elasticsearch deployment
The Elastic Stack (formerly known as ELK stack) is a very powerful tool for any kind of Search, Monitoring or Security Use Case. Therefore using the stack to monitor itself …
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Move to next ILM phase Watcher
This watcher job is moving specific indices based on e.g. disc usage into the next ILM phase.
Cloudflare Kibana dashboards
Cloudflare dashboards and ingest pipelines to visualize cloudflare logs
More about Elasticsearch
Elasticsearch is a distributed, free and open search and analysis engine that can handle all types of data, including text, numbers, geospatial, structured and unstructured. Elasticsearch is built on Apache Lucene and first released in 2010. Elasticsearch is known for its simple REST API, distributed features, speed and scalability, and is the core component of Elastic Stack, which is a set of free and open tools for data extraction, enrichment, storage, analysis, and visualization. Often referred to as the ELK stack (after Elasticsearch, Logstash, and Kibana), the Elastic Stack now includes a rich collection of lightweight forwarders, called Beats, for sending data to Elasticsearch.