Displaying 1 to 20 from 631 results

whisper - Whisper is a file-based time-series database format for Graphite.

  •    Python

Whisper is a fixed-size database, similar in design and purpose to RRD (round-robin-database). It provides fast, reliable storage of numeric data over time. Whisper allows for higher resolution (seconds per point) of recent data to degrade into lower resolutions for long-term retention of historical data.Please refer to the instructions at readthedocs.

netdata - Get control of your servers. Simple. Effective. Awesome! https://my-netdata.io/

  •    C

netdata is a system for distributed real-time performance and health monitoring. It provides unparalleled insights, in real-time, of everything happening on the system it runs (including applications such as web and database servers), using modern interactive web dashboards.netdata is fast and efficient, designed to permanently run on all systems (physical & virtual servers, containers, IoT devices), without disrupting their core function.

carbon - Carbon is one of the components of Graphite, and is responsible for receiving metrics over the network and writing them down to disk using a storage backend

  •    Python

Carbon is responsible for receiving metrics over the network, caching them in memory for "hot queries" from the Graphite-Web application, and persisting them to disk using the Whisper time-series library.Please refer to the instructions at readthedocs.

mtail - extract whitebox monitoring data from application logs for collection in a timeseries database

  •    Go

mtail is a tool for extracting metrics from application logs to be exported into a timeseries database or timeseries calculator for alerting and dashboarding.It aims to fill a niche between applications that do not export their own internal state, and existing monitoring systems, without patching those applications or rewriting the same framework for custom extraction glue code.




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.

riemann - A network event stream processing system, in Clojure.

  •    Clojure

Riemann aggregates events from your servers and applications with a powerful stream processing language.

banshee - Anomalies detection system for periodic metrics.

  •    Go

Banshee is a real-time anomalies(outliers) detection system for periodic metrics.The latest 300 will be catched.


browser-perf - Performance Metrics for Web Browsers

  •    Javascript

Read more on why browser-perf here. Please see the wiki pages for more information. You can find information about supported browsers, getting started, command line usage, reference for the Node API etc.

pwmetrics - Progressive web metrics at your fingertipz

  •    TypeScript

CLI tool and lib to gather performance metrics via Lighthouse. IN BETA.

aws-amplify - A declarative JavaScript library for application development using cloud services.

  •    Javascript

AWS Amplify provides a declarative and easy-to-use interface across different categories of cloud operations. AWS Amplify goes well with any JavaScript based frontend workflow, and React Native for mobile developers. Our default implementation works with Amazon Web Services (AWS), but AWS Amplify is designed to be open and pluggable for any custom backend or service.

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

  •    Java

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

  •    Javascript

A small (803 bytes gzipped) library for measuring things in your web app, annotating the DevTools timeline, and reporting the results to Google Analytics. If you chose to send metrics to Google Analytics, values will show up its UI. See below.

CSrankings - A web app for ranking computer science departments according to their research output in selective venues

  •    Python

This ranking of top computer science schools is designed to identify institutions and faculty actively engaged in research across a number of areas of computer science. Unlike US News and World Report's approach, which is exclusively based on surveys, this ranking is entirely metrics-based. It measures the number of publications by faculty that have appeared at the most selective conferences in each area of computer science. This approach is intended to be difficult to game, since publishing in such conferences is generally difficult: contrast this with other approaches like citation-based metrics, which have been repeatedly shown to be easy to manipulate. That said, incorporating citations in some form is a long-term goal.

HdrHistogram - A High Dynamic Range (HDR) Histogram

  •    Java

HdrHistogram supports the recording and analyzing sampled data value counts across a configurable integer value range with configurable value precision within the range. Value precision is expressed as the number of significant digits in the value recording, and provides control over value quantization behavior across the value range and the subsequent value resolution at any given level.

pandora - A Manageable, Measurable and Traceable Node

  •    TypeScript

Node.js >= 8.2.1 required. As a consequence of years of experiences on enterprise Node.js applications management, Midway team from Alibaba open-sourced Pandora.js finally. It is an application manager integrates many capabilities like monitoring, debugging, resiliency. You are more than welcome to use it, as well as build your operation infrastructure upon it.

Stagemonitor - Application performance monitoring for java server applications

  •    Java

Stagemonitor is a Java monitoring agent that tightly integrates with time series databases like Elasticsearch, Graphite and InfluxDB to analyze graphed metrics and Kibana to analyze requests and call stacks. It includes preconfigured Grafana and Kibana dashboards that can be customized. It supports Real Time Metrics, Call tree of the current request including SQL statements to identify the bottlenecks of a request, Execution time and count of database interactions, Analyze the HTTP headers and lot more.

prometheus - Kubernetes Setup for Prometheus and Grafana

  •    Smarty

This will create the namespace monitoring and bring up all components in there. See grafana.net for some example dashboards and plugins.

skydive - An open source real-time network topology and protocols analyzer

  •    Go

Skydive is an open source real-time network topology and protocols analyzer. It aims to provide a comprehensive way of understanding what is happening in the network infrastructure. Skydive agents collect topology informations and flows and forward them to a central agent for further analysis. All the informations are stored in an Elasticsearch database.






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