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Prometheus JVM Client download for Windows

Free download Prometheus JVM Client Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named Prometheus JVM Client whose latest release can be downloaded as 1.0.0_2023-09-27.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named Prometheus JVM Client with OnWorks for free.

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- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

SCREENSHOTS

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Prometheus JVM Client


DESCRIPTION

It supports Java, Clojure, Scala, JRuby, and anything else that runs on the JVM. If you use Maven, you can simply reference the assets below. The latest version can be found on in the maven repository for io.prometheus. By default, counters, histograms, and summaries export an additional series suffixed with _created and a value of the unix timestamp for when the metric was created. Building the repository needs Java 11 (The project the project still supports Java 6 and Java versions > 11 dropped support for Java 6 output). We recommend to use an up-to-data Java 8 installation. The project provides the maven wrapper and therefore no local maven installation is needed. To build the repository just call ./mvnw verify.



Features

  • Counters go up, and reset when the process restarts
  • Gauges can go up and down
  • Summaries and Histograms can both be used to monitor distributions, like latencies or request sizes
  • The Summary class provides different utility methods for observing values, like observe(double), startTimer(); timer.observeDuration(), time(Callable)
  • Tracking exact quantiles require a large amount of memory, because all observations need to be stored in a sorted list
  • Like Summaries, Histograms can be used to monitor latencies (or other things like request sizes)


Programming Language

Java


Categories

Libraries

This is an application that can also be fetched from https://sourceforge.net/projects/prometheus-jvm-client.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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