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This package contains the PCP Performance Metrics Domain Agent (PMDA) for collecting metrics about Elasticsearch.
Package apache-airflow-providers-elasticsearch Elasticsearch
Official AWS Ruby gem for Amazon Elasticsearch Service. This gem is part of the AWS SDK for Ruby.
The official Python client for Elasticsearch. Features Translating basic Python data types to and from JSON Configurable automatic discovery of cluster nodes Persistent connections Load balancing (with pluggable selection strategy) across available nodes Failed connection penalization (time based - failed connections won't be retried until a timeout is reached) Support for TLS and HTTP authentication Thread safety across requests Pluggable architecture Helper functions for idiomatically using APIs together
Official low-level client for Elasticsearch. Its goal is to provide common ground for all Elasticsearch-related code in Python; because of this it tries to be opinion-free and very extendable. The client’s features include: translating basic Python data types to and from json (datetimes are not decoded for performance reasons) configurable automatic discovery of cluster nodes persistent connections load balancing (with pluggable selection strategy) across all available nodes failed connection penalization (time based - failed connections won’t be retried until a timeout is reached) support for ssl and http authentication thread safety pluggable architecture
A syslog processing system that stores received messages in an Elasticsearch database. When coupled with the graylog-web-interface, which provides a front-end web interface, will allow for powerful message analytics for a server network. Other information, including but not limited to user credentials, stream configurations, etc, are stored in MongoDB
Tire is a Ruby client for the Elasticsearch search engine/database. It provides Ruby-like API for fluent communication with the Elasticsearch server and blends with ActiveModel class for convenient usage in Rails applications. It allows to delete and create indices, define mapping for them, supports the bulk API, and presents an easy-to-use DSL for constructing your queries. It has full ActiveRecord/ActiveModel compatibility, allowing you to index your models (incrementally upon saving, or in bulk), searching and paginating the results. Please check the documentation at <http://karmi.github.com/retire/>.
Beats - Lightweight shippers for Elasticsearch & Logstash The Beats are lightweight processes, written in Go, that you install on your servers to capture all sorts of operational data like logs, operating system metrics or network packet data, and to send it to Elasticsearch, either directly or via Logstash, so it can be visualized with Kibana.