Related Projects

go-metrics - A Golang library for exporting performance and runtime metrics to external metrics systems (i


This library provides a metrics package which can be used to instrument code, expose application metrics, and profile runtime performance in a flexible manner. In addition to the sinks, the InmemSignal can be used to catch a signal, and dump a formatted output of recent metrics. For example, when a process gets a SIGUSR1, it can dump to stderr recent performance metrics for debugging.

node_exporter - Exporter for machine metrics


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.

go-runtime-metrics - Collect Golang Runtime Metrics, outputting to a stats handler


This library has a few optional flags it depends on. It won't be able to output stats until you call flag.Parse(), which is generally done in your func main() {}.

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


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.

Micrometer - An application metrics facade for the most popular monitoring tools


An application metrics facade for the most popular monitoring tools. Instrument your code with dimensional metrics with a vendor neutral interface and decide on the monitoring backend at the last minute. Micrometer is the instrumentation library underpinning Spring Boot 2.0's metrics collection.


AppMetrics - App Metrics is an open-source and cross-platform


App Metrics is an open-source and cross-platform .NET library used to record metrics within an application. App Metrics can run on .NET Core or on the full .NET framework also supporting .NET 4.5.2. App Metrics abstracts away the underlaying repository of your Metrics for example InfluxDB, Graphite, Elasticsearch etc, by sampling and aggregating in memory and providing extensibility points to flush metrics to a repository at a specified interval.App Metrics provides various metric types to measure things such as the rate of requests, counting the number of user logins over time, measure the time taken to execute a database query, measure the amount of free memory and so on. Metrics types supported are Gauges, Counters, Meters, Histograms and Timers and Application Performance Indexes Apdex.

gtm - Simple, seamless, lightweight time tracking for Git


GTM is automatic, seamless and lightweight. There is no need to remember to start and stop timers. It runs on occasion to capture activity triggered by your editor. The time metrics are stored locally with the git repository as Git notes and can be pushed to the remote repository.Simply install a plugin for your favorite editor and the GTM command line utility to start tracking your time now.

pushgateway - push acceptor for ephemeral and batch jobs


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.

Metrics - Capturing JVM- and application-level metrics


Metrics is a Java library which gives you unparalleled insight into what your code does in production. It provides a powerful toolkit of ways to measure the behavior of critical components in your production environment.

beaker - Statistics and Metrics library for Elixir


Beaker is a tool that can be used to keep track of metrics for your Elixir project. It aims to provide an easy way to register statistics as well as an easy way to visualize them. Note: Beaker metrics are currently ephemeral and are scoped to the app (or more specifically Beaker) being stopped. Metrics are not persisted across restarts.

metrics-clojure - A thin façade around Coda Hale's metrics library.


A thin façade around Coda Hale's metrics library.

SEOstats - SEOstats is a powerful open source PHP library to request a bunch of SEO relevant metrics


SEOstats is the open source PHP library to get SEO-relevant website metrics. SEOstats is used to gather metrics such as detailed searchindex & backlink data, keyword & traffic statistics, website trends, page authority, social visibility, Google Pagerank, Alexa Trafficrank and more.

Snap - A powerful open telemetry framework


Snap is an open telemetry framework designed to simplify the collection, processing and publishing of system data through a single API. The goals of this project are to Empower systems to expose a consistent set of telemetry data, Simplify telemetry ingestion across ubiquitous storage systems, Provide powerful clustered control of telemetry workflows across small or large clusters and lot more.

resilience4j - Resilience4j is a fault tolerance library designed for Java8 and functional programming


Resilience4j is a lightweight fault tolerance library inspired by Netflix Hystrix, but designed for Java 8 and functional programming. Lightweight, because the library only uses Vavr (formerly Javaslang), which does not have any other external library dependencies. Netflix Hystrix, in contrast, has a compile dependency to Archaius which has many more external library dependencies such as Guava and Apache Commons Configuration. With Resilience4j you don’t have to go all-in, you can pick what you need. Setup and usage is described in our User Guide.

folsom - Expose Erlang Events and Metrics


Folsom is an Erlang based metrics system inspired by Coda Hale's metrics (https://github.com/dropwizard/metrics). The metrics API's purpose is to collect realtime metrics from your Erlang applications and publish them via Erlang APIs and output plugins. folsom is not a persistent store. There are 6 types of metrics: counters, gauges, histograms (and timers), histories, meter_readers and meters. Metrics can be created, read and updated via the folsom_metrics module.First, regarding using folsom and folsom_webmachine together. To make sure you have compatible versions of each, make sure you use code from the same version tags, ie 0.5 of folsom is known to work with 0.5 folsom_webmachine. HEAD on each repo may have broken API compatibility.

ruby-metrics - Metrics for ruby - a Ruby implementation of metrics inspired by @coda's JVM metrics for those of us in Ruby land


This runs a background thread and enables HTTP access to a local port (8001 by default) for a JSON representation of the current metrics. This will add metrics such as requests (a timer) as well as counters for each class of HTTP status code (1xx, 2xx, etc). Also counts uncaught exceptions before reraising. Provides a configurable path option (:show) to trigger the return of the metrics (as JSON) when the request path matches exactly (a string), as a regular expression, or as any object that responds to call for custom logic (passed the whole env).

ctop - Top-like interface for container metrics


as well as an single container view for inspecting a specific container.ctop comes with built-in support for Docker and runC; connectors for other container and cluster systems are planned for future releases.

scales - scales - Metrics for Python


Tracks server state and statistics, allowing you to see what your server is doing. It can also send metrics to Graphite for graphing or to a file for crash forensics.scales is inspired by the fantastic metrics library, though it is by no means a port.

node-measured - This is an alternative port of Coda Hale's metrics library.


This is an alternative port of Coda Hale's metrics library.I created this despite the existing metrics port for node.js to fully understand the underlaying algorithms, and to provide a solid, tested and documented module.





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