The Beats are lightweight data shippers, written in Go, that you install on your servers to capture all sorts of operational data (think of logs, metrics, or network packet data). The Beats send the operational data to Elasticsearch, either directly or via Logstash, so it can be visualized with Kibana.By "lightweight", we mean that Beats have a small installation footprint, use limited system resources, and have no runtime dependencies.
metricbeat filebeat packetbeat heartbeat winlogbeat elastic elasticbeats beats lightweight-shippers auditbeatElasticsearch 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 rubynlpPrecompiled 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-managementsyslog-ng is an enhanced log daemon, supporting a wide range of input and output methods: syslog, unstructured text, message queues, databases (SQL and NoSQL alike), and more. For a brief introduction to configuring the syslog-ng application, see the quickstart guide.
syslog-ng elastic kafka syslog logging log-managementPopup your custom view is easy, support custom mask style, transition effects and gesture to drag. To run the example project, clone the repo, and run pod install from the Example directory first.
mask alert popup present spring sina qzone custom-view actionsheet share sidebar fullscreen drag drop elastic sheet maskedinput overlay gestureIcinga 2 is an open source monitoring system which checks the availability of your network resources, notifies users of outages, and generates performance data for reporting. Scalable and extensible, Icinga 2 can monitor large, complex environments across multiple locations.
icinga monitoring notification cluster metrics elastic graylog influxdb graphite opentsdb rest-api tls distributed-monitoring performanceJavascript API for ElasticSearch DSL
elasticsearch search elasticjs elastic elastic-search es ejs elasticsearch-client elasticsearch-libraryAn elasticsearch query body builder. Easily build complex queries for elasticsearch with a simple, predictable api. Check out the API reference documentation.
elasticsearch querydsl builder bodybuilder querying queries query elastic search dsl 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 clientRally 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 benchmarkProvides very fluent and easy reflection API and also fluent Emit
direct-reflection elastic emit fluent fluent-emit fluent-reflection lambda-emitA Hunting ELK (Elasticsearch, Logstash, Kibana) with advanced analytic capabilities.At the end of the HELK installation, you will have a similar output with the information you need to access the primary HELK components. Remember that the default username and password for the HELK are helk:hunting.
hunting elasticsearch kibana logstash hunting-platforms elk elk-stack elastic docker jupyter-notebook threat-hunting spark dockerhub threat-detection threatStandard ViewGroups which responds to nested scrolls to create drag-dismissable layouts. Original code taken from Plaid and made backwards compatible. In addition, you will probably want to have your new activity have a theme that allows for transparency. See styles.xml for an example.
android elastic drag-dismissable-layouts plaidA 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 dslFully utilize your GPU Clusters with FleetX for your model pre-training. For any feedback or to report a bug, please propose a GitHub Issue.
benchmark cloud lightning elastic unsupervised-learning large-scale data-parallelism paddlepaddle model-parallelism distributed-algorithm self-supervised-learning pipeline-parallelism pretraining fleet-api paddlecloudTo use this tool, you need to understand the term and match phrase of elasticsearch.Setting a field to analyzed or not analyzed will get different result.
elasticsearch sql dsl elastic search sql-to-elasticsearch query-libraryThis 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.
elasticsearch msi windows-installer elasticextended lucene query syntax with sorting, field selection, limits etc
lucene query syntax elastic search es elasticsearch
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