linux-metrics | System Metrics/Stats Library for Linux

 by   cgoldberg Python Version: 0.1.4 License: Non-SPDX

X-RayKey FeaturesCode SnippetsCommunity Discussions(1)VulnerabilitiesInstallSupport

kandi X-RAY | linux-metrics Summary

kandi X-RAY | linux-metrics Summary

linux-metrics is a Python library. linux-metrics has no bugs, it has no vulnerabilities, it has build file available and it has low support. However linux-metrics has a Non-SPDX License. You can install using 'pip install linux-metrics' or download it from GitHub, PyPI.

System Metrics/Stats Library for Linux
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              linux-metrics has a low active ecosystem.
              It has 61 star(s) with 24 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 1 have been closed. On average issues are closed in 1238 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of linux-metrics is 0.1.4

            kandi-Quality Quality

              linux-metrics has no bugs reported.

            kandi-Security Security

              linux-metrics has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              linux-metrics has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

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              linux-metrics releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed linux-metrics and discovered the below as its top functions. This is intended to give you an instant insight into linux-metrics implemented functionality, and help decide if they suit your requirements.
            • Calculate the number of reads per second .
            • Return CPU percents .
            • Check if a device is busy .
            • Print information about the CPU .
            • Return a list of cpu time in seconds .
            • Return the CPU count and core id
            • List of CPU times .
            • Return the number of reads and writes to disk .
            • Get file descriptor .
            • Return the memory stats .
            Get all kandi verified functions for this library.

            linux-metrics Key Features

            No Key Features are available at this moment for linux-metrics.

            linux-metrics Examples and Code Snippets

            No Code Snippets are available at this moment for linux-metrics.

            Community Discussions

            Trending Discussions on linux-metrics

            How to Decompose Global System Metrics to a Per Endpoint Basis on a Webserver

            QUESTION

            How to Decompose Global System Metrics to a Per Endpoint Basis on a Webserver
            Asked 2020-Oct-09 at 20:09

            I'm implementing a metrics system for a backend API at scale and am running into a dilemma: using statsd, the application itself is logging request metrics on a per endpoint basis, but the CPU metrics are at the global server level. Currently each server has 10 threads, meaning 10 requests can be processed at once (yeah, yeah its actually serial).

            For example, if we have two endpoints, /user and /item, the statsd implementation is differentiating statistics (DB/Redis I/O, etc.) per endpoint. However, say we are looking at linux-metrics every N seconds, those statistics do not separate endpoints, inherently.

            I believe that it would be possible, assuming that your polling time ("N seconds") is small enough and that you have enough diversity within your requests, to decompose the global system metrics to create an estimate at the endpoint level.

            Image a scenario like this:

            note: we'll say a represents a GET to /user and b represents a GET to /item

            ...

            ANSWER

            Answered 2020-Oct-09 at 20:09

            I believe the answer is doing a sum decomposition through linear equations. If we say that a system metric, for example the CPU, is a function CPU(t1), then it would just be a matter of solving the following set of equations for the posted example:

            Source https://stackoverflow.com/questions/64266715

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install linux-metrics

            You can install using 'pip install linux-metrics' or download it from GitHub, PyPI.
            You can use linux-metrics like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

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            Install
          • PyPI

            pip install linux-metrics

            • CLONE
          • HTTPS

            https://github.com/cgoldberg/linux-metrics.git

          • CLI

            gh repo clone cgoldberg/linux-metrics

          • sshUrl

            git@github.com:cgoldberg/linux-metrics.git

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