This is the repository for the Elastic stack MSI-based Windows installers.This will download the latest version of the stack (currently only Elasticsearch) and create the MSIs.
https://github.com/elastic/windows-installersTags | elasticsearch msi windows-installer elastic |
Implementation | CSharp |
License | Apache |
Platform | Windows |
Elastic is an Elasticsearch client for the Go programming language.See the wiki for additional information about Elastic.
elasticsearch elasticsearch-client elasticsearch-libraryFlummi is a client library for Elastic Search. It has been successfully tested with Elastic Search versions 2.3, 2.4 and 5.1. It provides a comprehensive Java query DSL API and communicates with the Elastic Search Cluster via HTTP/JSON. Flummi uses HTTP and JSON for communication with Elastic Search. Its only dependencies are Gson and AsyncHttpClient, so it is good for you if you don't want to have your application depend on the full ElasticSearch JAR.
elasticsearch-client elasticsearch-librarySharpInstall provides Managed interfaces to the MSI (Windows Installer) Automation model. Now MSI Installers (databases) can be created in managed code like C#, Boo etc
installer msi-installerA Node.js implementation of the Elasticsearch DSL for use with the official elasticsearch javascript client with builder syntax. Check out the API reference documentation.
elasticsearch query-builder nodejs elasticsearch-query-dsl elastic-builder querying queries query elastic search elasticjs ejs dslThe APM Server receives data from APM agents and transforms them into Elasticsearch documents. It does this by exposing an HTTP server endpoint to which agents stream the APM data they collect. After the APM Server has validated and processed events from the APM agents, the server transforms the data into Elasticsearch documents and stores them in corresponding Elasticsearch indices.
apm elasticsearch performance-monitoring error-monitoring devops performance-metrics tracing-server distributed-tracingThe ElasticSearch operator is designed to manage one or more elastic search clusters. Included in the project (initially) is the ability to create the Elastic cluster, deploy the data nodes across zones in your Kubernetes cluster, and snapshot indexes to AWS S3. The operator was built and tested on a 1.7.X Kubernetes cluster and is the minimum version required due to the operators use of Custom Resource Definitions.
kubernetes operator elasticsearchPrecompiled binaries for supported operating systems are available.ElasticHD does not require any software. It works in your web browser, allowing you to manage and monitor your ElasticSearch clusters from anywhere at any time. Built on responsive CSS design, ElasticHD adjusts itself to any screen size on any device.
elasticsearch elastichd elastic elasticdashboard sql sql-converts elastic-sql-dsl es esdashboard elasticsearchdashboard elasticsearch-dashboard elasticsearch-tools elasticsearch-managementJavascript API for ElasticSearch DSL
elasticsearch search elasticjs elastic elastic-search es ejs elasticsearch-client elasticsearch-libraryThis package makes is the Elasticsearch driver for Laravel Scout. The MIT License (MIT).
laravel-scout elasticsearch laravel scoutElastic Cloud on Kubernetes automates the deployment, provisioning, management, and orchestration of Elasticsearch and Kibana on Kubernetes based on the operator pattern. This is an alpha version.
elasticsearch kibana kubernetes kubernetes-operatorsA web front end for an elastic search cluster
elasticsearch-monitoring elasticsearch-management elasticsearch-toolsA node.js client for elasticsearch (http://www.elasticsearch.com). Most of the API (http://www.elasticsearch.org/guide/reference/api/) is implemented.
elasticsearch elastic search clientElastiFlow provides network flow data collection and visualization using the Elastic Stack (Elasticsearch, Logstash and Kibana). It supports Netflow v5/v9, sFlow and IPFIX flow types (1.x versions support only Netflow v5/v9).
elasticsearch logstash kibana netflow sflow ipfix elk elk-stack elasticstackNullsoft Scriptable Install System (NSIS) is a professional open source system to create Windows installers. It is designed to be as small and flexible as possible and is therefore very suitable for internet distribution. NSIS is script-based and allows you to create the logic to handle even the most complex installation tasks. Many plug-ins and scripts are already available: you can create web installers, communicate with Windows and other software components.
installer packaging deploy build-toolElephant is an S3-backed key-value store with querying powered by Elastic Search. Your data is persisted on S3 as simple JSON documents, but you can instantly query it over HTTP. If you need a production Elastic Search instance, checkout searchly and heroku-elasticsearch.
Kibana is a browser based interface for Logstash and ElasticSearch that allows you to efficiently search, visualize, analyze and otherwise make sense of your logs. To run Kibana with JRuby, e.g. if you have to run in on a windows machine, you can create a (executable) WAR archive.
GUI4Wix enables newbies or those in a hurry to create a MSI installer for there App or anything. It currently supports very primitive kind of installers but other features will be soon available..
wix wix-gui windows-installerElasticsearch client and Ruby API is provided by the elasticsearch-ruby project.The libraries are compatible with Ruby 1.9.3 and higher.
rails ruby-on-rails elasticsearch elastic activerecord activemodelFor integration with Ruby models and Rails applications, see the elasticsearch-rails project.The Elasticsearch client is compatible with Ruby 1.8.7 and higher. Other libraries in this repository might require a more recent Ruby version.
elasticsearch elastic search rubynlpRally is the macrobenchmarking framework for Elasticsearch. It helps to setup and teardown of an Elasticsearch cluster for benchmarking, Running benchmarks and recording results, Finding performance problems by attaching so-called telemetry devices, Management of benchmark data and specifications even across Elasticsearch versions and lot more.
elasticsearch elastic benchmark
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