prometheusbeat - send prometheus metrics to elastic

  •        103

Prometheusbeat is an elastic beat that can receive Prometheus metrics via the remote write feature. It will create a clean git history for each major step. Note that you can always rewrite the history if you wish before pushing your changes.



Related Projects

cortex - A multitenant, horizontally scalable Prometheus as a Service

  •    Go

Cortex is a CNCF sandbox project used in several production systems including Weave Cloud, GrafanaCloud and Cortex provides horizontally scalable, multi-tenant, long term storage for Prometheus metrics when used as a remote write destination, and a horizontally scalable, Prometheus-compatible query API.

beats - :tropical_fish: Beats - Lightweight shippers for Elasticsearch & Logstash

  •    Go

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.

vulcan - Vulcan extends Prometheus adding horizontal scalability and long-term storage

  •    Go

Vulcan extends Prometheus adding horizontal scalability and long-term storage. Vulcan is highly experimental.

electron-json-storage - :package: Easily write and read user settings in Electron apps

  •    Javascript

Electron lacks an easy way to persist and read user settings for your application. electron-json-storage implements an API somehow similar to localStorage to write and read JSON objects to/from the operating system application data directory, as defined by app.getPath('userData'). You can require this module from either the main or renderer process (with and without remote).

thanos - Highly available Prometheus setup with long term storage capabilities.

  •    Go

Thanos is a set of components that can be composed into a highly available metric system with unlimited storage capacity. It can be added seamlessly on top of existing Prometheus deployments and leverages the Prometheus 2.0 storage format to cost-efficiently store historical metric data in any object storage while retaining fast query latencies. Additionally, it provides a global query view across all Prometheus installations and can merge data from Prometheus HA pairs on the fly.

kube-state-metrics - Add-on agent to generate and expose cluster-level metrics.

  •    Go

kube-state-metrics is a simple service that listens to the Kubernetes API server and generates metrics about the state of the objects. (See examples in the Metrics section below.) It is not focused on the health of the individual Kubernetes components, but rather on the health of the various objects inside, such as deployments, nodes and pods.The metrics are exported through the Prometheus golang client on the HTTP endpoint /metrics on the listening port (default 8080). They are served either as plaintext or protobuf depending on the Accept header. They are designed to be consumed either by Prometheus itself or by a scraper that is compatible with scraping a Prometheus client endpoint. You can also open /metrics in a browser to see the raw metrics.

node_exporter - Exporter for machine metrics

  •    Go

Prometheus exporter for hardware and OS metrics exposed by *NIX kernels, written in Go with pluggable metric collectors.The WMI exporter is recommended for Windows users.

rtop - rtop is an interactive, remote system monitoring tool based on SSH

  •    Go

rtop is a remote system monitor. It connects over SSH to a remote system and displays vital system metrics (CPU, disk, memory, network). No special software is needed on the remote system, other than an SSH server and working credentials. Only Linux systems can be monitored, and most modern distros will work.

Pyro - PYthon Remote Objects

  •    Python

Pyro is short for PYthon Remote Objects. It is an advanced and powerful Distributed Object Technology system. when using Pyro you just write your Python objects like you would normally. With only a few lines of extra code, Pyro takes care of the network communication between your objects once you split them over different machines on the network. All the gory socket programming details are taken care of, you just call a method on a remote object as if it were a local object.

kafka_exporter - Kafka exporter for Prometheus

  •    Go

Kafka exporter for Prometheus. For other metrics from Kafka, have a look at the JMX exporter. Support Apache Kafka version (and later).

go-grpc-prometheus - Prometheus monitoring for your gRPC Go servers.

  •    Go

Prometheus monitoring for your gRPC Go servers and clients. A sister implementation for gRPC Java (same metrics, same semantics) is in grpc-ecosystem/java-grpc-prometheus.

pushgateway - push acceptor for ephemeral and batch jobs

  •    Go

The Prometheus Pushgateway exists to allow ephemeral and batch jobs to expose their metrics to Prometheus. Since these kinds of jobs may not exist long enough to be scraped, they can instead push their metrics to a Pushgateway. The Pushgateway then exposes these metrics to Prometheus.The Pushgateway is explicitly not an aggregator or distributed counter but rather a metrics cache. It does not have statsd-like semantics. The metrics pushed are exactly the same as you would present for scraping in a permanently running program.

nginx-lua-prometheus - Prometheus metric library for Nginx written in Lua

  •    Lua

This is a Lua library that can be used with Nginx to keep track of metrics and expose them on a separate web page to be pulled by Prometheus. You need to install nginx package with lua support (libnginx-mod-http-lua on newer Debian versions, or nginx-extras on older ones). The library file, prometheus.lua, needs to be available in LUA_PATH. If this is the only Lua library you use, you can just point lua_package_path to the directory with this git repo checked out (see example below).

OfflineSampleApp - Sample Offline-First MVVM app that uses Android Priority Job Queue, Room, Retrofit2, LiveData, LifecycleObserver, RxJava2, Dagger Android

  •    Java

Offline App (or Offline-First App) enables user to seamlessly interact with it by using local device storage and then synchronizing the data with some remote storage (cloud database, etc) later via a background process. This app is a working sample that showcases one way of implementing offline commenting capability on Android platform. Users' comments are stored in local Room database first. Then a background job is spawned to synchronize local data with remote database if and when Internet connection is available.

ROVM (Remote Object Virtual Machine)

  •    C

ROVM is short for Remote Object Virtual Machine. By using this VM, you can read/write/execute remote objects.

webdriver - Remote control interface that enables introspection and control of user agents.

  •    HTML

WebDriver is a remote control interface that enables introspection and control of user agents. It provides a platform- and language-neutral wire protocol as a way for out-of-process programs to remotely instruct the behavior of web browsers. Provided is a set of interfaces to discover and manipulate DOM elements in web documents and to control the behavior of a user agent. It is primarily intended to allow web authors to write tests that automate a user agent from a separate controlling process, but may also be used in such a way as to allow in-browser scripts to control a — possibly separate — browser.

logstash - Logstash - transport and process your logs, events, or other data

  •    Ruby

Logstash is part of the Elastic Stack along with Beats, Elasticsearch and Kibana. Logstash is an open source, server-side data processing pipeline that ingests data from a multitude of sources simultaneously, transforms it, and then sends it to your favorite "stash." (Ours is Elasticsearch, naturally.). Logstash has over 200 plugins, and you can write your own very easily as well.The license is Apache 2.0, meaning you are pretty much free to use it however you want in whatever way.

client_java - Prometheus instrumentation library for JVM applications

  •    Java

The Prometheus Java Suite: Client Metrics, Exposition, and Examples

redis_exporter - Prometheus Exporter for Redis Metrics. Supports Redis 2.x, 3.x and 4.x

  •    Go

and adjust the host name accordingly. Here is an example Kubernetes deployment configuration for how to deploy the redis_exporter as a sidecar with a Redis instance.

prometheus-net - .net client for

  •    CSharp

This is a .NET library for instrumenting your applications and exporting metrics to Prometheus. If you are migrating from version 1.x, you may need to make minor changes to your code to adjust for these changes.