awesome-sre-tools VS awesome-devops

Compare awesome-sre-tools vs awesome-devops and see what are their differences.

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awesome-sre-tools awesome-devops
3 5
1,109 1,708
2.8% -
5.9 6.0
30 days ago about 2 months ago
Python
Creative Commons Attribution 4.0 Creative Commons Zero v1.0 Universal
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

awesome-sre-tools

Posts with mentions or reviews of awesome-sre-tools. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-08.

awesome-devops

Posts with mentions or reviews of awesome-devops. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-30.
  • Platforms, Tools, Practices & More
    1 project | /r/devrops | 17 Jan 2023
  • Open Source projects and DevOps tools
    1 project | /r/devops | 14 Jan 2023
    I would start with awesome devops and drill down there to which tools and projects are open source and in go. I know that Terraform is in go, Docker itself is in go, some projects that I use like Telegraf are in go too, but a comprehensive list of all tools that can be used by devops, that are open source and in go may be huge. Is better to get a very partial list and pick from there the ones you find more interesting, both in mission and in code.
  • 15 DevOps and SRE Tools you Should Know About in 2023
    9 projects | dev.to | 30 Dec 2022
    github.com/wmariuss/awesome-devops
  • How to create a Python package in 2022
    13 projects | news.ycombinator.com | 27 Jul 2022
    Not necessarily, it just depends on how invested you are in the CI/CD pipeline for any given project, your preferences regarding self-hosting vs. cloud, and the amount of time you have to dedicate to the subject.

    Strictly speaking, any tool or set of tools that allow you to trigger building & deploying/publishing artifacts in response to source control commits can be used to build a CI/CD pipeline. One could write bash scripts linked to a cron job that pulls a remote repository every n minutes and then performs some scripted actions to integrate changes between branches before building & publishing the artifact to a local SFTP server.

    If you prefer a more mature solution with better documentation however, there is a (non-exhaustive) list of CI/CD tools on this awesome-devops list:

    https://github.com/wmariuss/awesome-devops#continuous-integr...

  • free resources
    3 projects | /r/devops | 9 Jan 2022

What are some alternatives?

When comparing awesome-sre-tools and awesome-devops you can also consider the following projects:

d2-vscode - VSCode extension for D2 files.

awesome-oss-alternatives - Awesome list of open-source startup alternatives to well-known SaaS products 🚀

awesome-nodejs - :zap: Delightful Node.js packages and resources

slo-exporter - Slo-exporter computes standardized SLI and SLO metrics based on events coming from various data sources.

cli-apps - The largest Awesome Curated list of CLI/TUI applications with source data organized into CSV files

awesome-sre - A curated list of Site Reliability and Production Engineering resources.

tox-poetry-installer - A plugin for Tox that lets you install test environment dependencies from the Poetry lockfile

aperture - Rate limiting, caching, and request prioritization for modern workloads

devops-exercises - Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

Jenkins - Jenkins automation server

pip-audit - Audits Python environments, requirements files and dependency trees for known security vulnerabilities, and can automatically fix them