Alternatives to FitNesse logo

Alternatives to FitNesse

Selenium, Cucumber, SpecFlow, Postman, and Cypress are the most popular alternatives and competitors to FitNesse.
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What is FitNesse and what are its top alternatives?

FitNesse is a popular open-source testing framework that allows users to create and run acceptance tests. It provides a wiki-based interface for test creation and execution, making it easy for non-technical users to collaborate on testing efforts. Key features of FitNesse include support for various testing frameworks, integration with version control systems, and the ability to execute tests remotely. However, FitNesse may have limitations in terms of its learning curve for beginners and lack of modern features seen in newer testing tools.

  1. Cucumber: Cucumber is a popular behavior-driven development (BDD) tool that allows users to write executable specifications in natural language. Key features include easy collaboration between technical and non-technical stakeholders, integration with various programming languages, and support for automation testing across different platforms. Pros of Cucumber include its strong community support and comprehensive documentation, while a potential con compared to FitNesse could be the need for additional setup and configuration.
  2. Robot Framework: Robot Framework is a generic open-source automation framework for acceptance testing and robotic process automation (RPA). It offers a keyword-driven approach to test automation and supports various test libraries, database connections, and external test data sources. Key features include scalability, extensibility, and the ability to integrate with other tools and libraries. Compared to FitNesse, Robot Framework may offer more flexibility but could require additional technical expertise.
  3. Selenium: Selenium is a widely-used open-source automation tool for testing web applications. It provides a suite of tools for various test automation needs, including web browser automation, mobile testing, and cross-browser testing. Key features of Selenium include support for multiple programming languages, robust test scripting capabilities, and compatibility with different operating systems and browsers. Pros of Selenium include its strong industry adoption and active community, while a potential con could be the complexity of setup and maintenance compared to FitNesse.
  4. Jasmine: Jasmine is a behavior-driven development framework for testing JavaScript code. It provides an easy-to-use syntax for creating tests, support for asynchronous testing, and integration with various browsers and test runners. Key features of Jasmine include its simplicity, speed, and ability to run tests in isolation. Compared to FitNesse, Jasmine may be more suitable for front-end testing but could lack the broader testing capabilities of FitNesse.
  5. TestNG: TestNG is a testing framework inspired by JUnit and NUnit but introduces some new functionalities that make it more powerful and easier to use. It supports various test types like unit, functional, end-to-end, and integration testing. TestNG offers features like parallel execution, test parametrization, and flexible testing configurations, making it a versatile choice for test automation. Pros of TestNG include its robust reporting capabilities and advanced annotations, while a potential con compared to FitNesse could be the learning curve for beginners.
  6. RSpec: RSpec is a testing tool for the Ruby programming language that provides a domain-specific language to describe the expected behavior of Ruby code. It follows the behavior-driven development (BDD) approach and offers features like readable test syntax, test doubles for mocking, and custom matchers for expressive testing. Key features of RSpec include its focus on readability, maintainability, and clean test code. Compared to FitNesse, RSpec may be more suitable for Ruby projects but could lack the wiki-based collaborative features of FitNesse.
  7. Jest: Jest is a zero-configuration testing framework for JavaScript projects, particularly those using React. It provides features like code coverage analysis, snapshot testing, and parallel test execution. Jest also offers a watch mode for continuous testing during development and support for mocking dependencies. Pros of Jest include its speed, ease of use, and integration with popular tools like Babel and Webpack, while a potential con compared to FitNesse could be limited support for non-JavaScript projects.
  8. Behave: Behave is a BDD test framework for Python that allows users to write tests in a natural language format. It integrates with popular Python tools like Pytest and Selenium for test automation. Behave offers features like scenario outlining, step definitions, and tag-based test execution. Pros of Behave include its integration with Python ecosystem and readability of test scenarios, while a potential con compared to FitNesse could be the need for additional setup and configuration.
  9. Katalon Studio: Katalon Studio is a comprehensive test automation tool that combines UI testing, API testing, and mobile testing in a single platform. It provides a user-friendly interface for test creation, integration with popular tools like Selenium and Appium, and robust reporting capabilities. Key features of Katalon Studio include cross-browser testing, test data management, and built-in test case management. Compared to FitNesse, Katalon Studio may offer a more all-in-one solution but could require additional licensing for enterprise features.
  10. Karate: Karate is an open-source tool for API testing and automation that combines API test-automation, mock-servers, and performance-testing within a single, unified framework. It uses a simple, tabular syntax to create test cases directly in Gherkin (a plain-text business-readable DSL). Key features of Karate include native JSON and XML support, scenario outline capabilities, and custom test reports. Pros of Karate include its easy setup, comprehensive documentation, and integration with Cucumber, while a potential con compared to FitNesse could be the focus on API testing rather than broader acceptance testing.

Top Alternatives to FitNesse

  • Selenium
    Selenium

    Selenium automates browsers. That's it! What you do with that power is entirely up to you. Primarily, it is for automating web applications for testing purposes, but is certainly not limited to just that. Boring web-based administration tasks can (and should!) also be automated as well. ...

  • Cucumber
    Cucumber

    Cucumber is a tool that supports Behaviour-Driven Development (BDD) - a software development process that aims to enhance software quality and reduce maintenance costs. ...

  • SpecFlow
    SpecFlow

    It is used to define, manage and automatically execute human-readable acceptance tests in .NET projects. Writing easily understandable tests is a cornerstone of the BDD paradigm and also helps build up a living documentation of your system. ...

  • Postman
    Postman

    It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide. ...

  • Cypress
    Cypress

    Cypress is a front end automated testing application created for the modern web. Cypress is built on a new architecture and runs in the same run-loop as the application being tested. As a result Cypress provides better, faster, and more reliable testing for anything that runs in a browser. Cypress works on any front-end framework or website. ...

  • JavaScript
    JavaScript

    JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles. ...

  • Git
    Git

    Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency. ...

  • GitHub
    GitHub

    GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together. ...

FitNesse alternatives & related posts

Selenium logo

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Lead Architect at Fresha · | 28 upvotes · 3.9M views

When you think about test automation, it’s crucial to make it everyone’s responsibility (not just QA Engineers'). We started with Selenium and Java, but with our platform revolving around Ruby, Elixir and JavaScript, QA Engineers were left alone to automate tests. Cypress was the answer, as we could switch to JS and simply involve more people from day one. There's a downside too, as it meant testing on Chrome only, but that was "good enough" for us + if really needed we can always cover some specific cases in a different way.

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Benjamin Poon
QA Manager - Engineering at HBC Digital · | 8 upvotes · 2.2M views

For our digital QA organization to support a complex hybrid monolith/microservice architecture, our team took on the lofty goal of building out a commonized UI test automation framework. One of the primary requisites included a technical minimalist threshold such that an engineer or analyst with fundamental knowledge of JavaScript could automate their tests with greater ease. Just to list a few: - Nightwatchjs - Selenium - Cucumber - GitHub - Go.CD - Docker - ExpressJS - React - PostgreSQL

With this structure, we're able to combine the automation efforts of each team member into a centralized repository while also providing new relevant metrics to business owners.

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Cucumber logo

Cucumber

971
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36
Simple, human collaboration.
971
919
+ 1
36
PROS OF CUCUMBER
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  • 5
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  • 3
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CONS OF CUCUMBER
    Be the first to leave a con

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    Benjamin Poon
    QA Manager - Engineering at HBC Digital · | 8 upvotes · 2.2M views

    For our digital QA organization to support a complex hybrid monolith/microservice architecture, our team took on the lofty goal of building out a commonized UI test automation framework. One of the primary requisites included a technical minimalist threshold such that an engineer or analyst with fundamental knowledge of JavaScript could automate their tests with greater ease. Just to list a few: - Nightwatchjs - Selenium - Cucumber - GitHub - Go.CD - Docker - ExpressJS - React - PostgreSQL

    With this structure, we're able to combine the automation efforts of each team member into a centralized repository while also providing new relevant metrics to business owners.

    See more

    I am a QA heading to a new company where they all generally use Visual Studio Code, my experience is with IntelliJ IDEA and PyCharm. The language they use is JavaScript and so I will be writing my test framework in javaScript so the devs can more easily write tests without context switching.

    My 2 questions: Does VS Code have Cucumber Plugins allowing me to write behave tests? And more importantly, does VS Code have the same refactoring tools that IntelliJ IDEA has? I love that I have easy access to a range of tools that allow me to refactor and simplify my code, making code writing really easy.

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    SpecFlow logo

    SpecFlow

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    A testing framework which supports Behaviour Driven Development
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          Documentation
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          Easy as pie
        • 3
          API-network
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          Mocking API calls with predefined response
        • 2
          Now supports GraphQL
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          Postman Runner CI Integration
        • 2
          Easy to setup, test and provides test storage
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          Pre-request Script and Test attributes are invaluable
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          Runner
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          Graph
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          <a href="http://fixbit.com/">useful tool</a>
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          Expensive
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        • 1
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        Noah Zoschke
        Engineering Manager at Segment · | 30 upvotes · 2.9M views

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        This turns Postman from a personal #API utility to full-blown public interactive API documentation. The result is a great looking web page with all the API calls, docs and sample requests and responses in one place. Check out the results here.

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        Along the way we tried other techniques for documenting APIs like ReadMe.io or Swagger UI. These required a lot of effort to customize.

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          Non-blocking i/o
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          Future Language of The Web
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          Its everywhere
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          Because I love functions
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          JavaScript is the New PHP
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          Like it or not, JS is part of the web standard
        • 9
          Expansive community
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          Everyone use it
        • 9
          Can be used in backend, frontend and DB
        • 9
          Easy
        • 8
          Most Popular Language in the World
        • 8
          Powerful
        • 8
          Can be used both as frontend and backend as well
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          For the good parts
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          No need to use PHP
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          Easy to hire developers
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          Agile, packages simple to use
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          Love-hate relationship
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          Evolution of C
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          It's fun
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          Its fun and fast
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          Popularized Class-Less Architecture & Lambdas
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          Supports lambdas and closures
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          It let's me use Babel & Typescript
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          Can be used on frontend/backend/Mobile/create PRO Ui
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        • 22
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          Javascript is the New PHP
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        Zach Holman

        Oof. I have truly hated JavaScript for a long time. Like, for over twenty years now. Like, since the Clinton administration. It's always been a nightmare to deal with all of the aspects of that silly language.

        But wowza, things have changed. Tooling is just way, way better. I'm primarily web-oriented, and using React and Apollo together the past few years really opened my eyes to building rich apps. And I deeply apologize for using the phrase rich apps; I don't think I've ever said such Enterprisey words before.

        But yeah, things are different now. I still love Rails, and still use it for a lot of apps I build. But it's that silly rich apps phrase that's the problem. Users have way more comprehensive expectations than they did even five years ago, and the JS community does a good job at building tools and tech that tackle the problems of making heavy, complicated UI and frontend work.

        Obviously there's a lot of things happening here, so just saying "JavaScript isn't terrible" might encompass a huge amount of libraries and frameworks. But if you're like me, yeah, give things another shot- I'm somehow not hating on JavaScript anymore and... gulp... I kinda love it.

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        Conor Myhrvold
        Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 10.9M views

        How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

        Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

        Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

        https://eng.uber.com/distributed-tracing/

        (GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

        Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

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        Git logo

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          Free
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          Easy to use
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          Does not require server
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          Small & Fast
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          Feature based workflow
        • 15
          Staging Area
        • 13
          Most wide-spread VSC
        • 11
          Role-based codelines
        • 11
          Disposable Experimentation
        • 7
          Frictionless Context Switching
        • 6
          Data Assurance
        • 5
          Efficient
        • 4
          Just awesome
        • 3
          Github integration
        • 3
          Easy branching and merging
        • 2
          Compatible
        • 2
          Flexible
        • 2
          Possible to lose history and commits
        • 1
          Rebase supported natively; reflog; access to plumbing
        • 1
          Light
        • 1
          Team Integration
        • 1
          Fast, scalable, distributed revision control system
        • 1
          Easy
        • 1
          Flexible, easy, Safe, and fast
        • 1
          CLI is great, but the GUI tools are awesome
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          It's what you do
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          Phinx
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        • 16
          Hard to learn
        • 11
          Inconsistent command line interface
        • 9
          Easy to lose uncommitted work
        • 7
          Worst documentation ever possibly made
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          Unexistent preventive security flows
        • 3
          Rebase hell
        • 2
          When --force is disabled, cannot rebase
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          Ironically even die-hard supporters screw up badly
        • 1
          Doesn't scale for big data

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        Simon Reymann
        Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 9.7M views

        Our whole DevOps stack consists of the following tools:

        • GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
        • Respectively Git as revision control system
        • SourceTree as Git GUI
        • Visual Studio Code as IDE
        • CircleCI for continuous integration (automatize development process)
        • Prettier / TSLint / ESLint as code linter
        • SonarQube as quality gate
        • Docker as container management (incl. Docker Compose for multi-container application management)
        • VirtualBox for operating system simulation tests
        • Kubernetes as cluster management for docker containers
        • Heroku for deploying in test environments
        • nginx as web server (preferably used as facade server in production environment)
        • SSLMate (using OpenSSL) for certificate management
        • Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
        • PostgreSQL as preferred database system
        • Redis as preferred in-memory database/store (great for caching)

        The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

        • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
        • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
        • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
        • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
        • Scalability: All-in-one framework for distributed systems.
        • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
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        Tymoteusz Paul
        Devops guy at X20X Development LTD · | 23 upvotes · 8.7M views

        Often enough I have to explain my way of going about setting up a CI/CD pipeline with multiple deployment platforms. Since I am a bit tired of yapping the same every single time, I've decided to write it up and share with the world this way, and send people to read it instead ;). I will explain it on "live-example" of how the Rome got built, basing that current methodology exists only of readme.md and wishes of good luck (as it usually is ;)).

        It always starts with an app, whatever it may be and reading the readmes available while Vagrant and VirtualBox is installing and updating. Following that is the first hurdle to go over - convert all the instruction/scripts into Ansible playbook(s), and only stopping when doing a clear vagrant up or vagrant reload we will have a fully working environment. As our Vagrant environment is now functional, it's time to break it! This is the moment to look for how things can be done better (too rigid/too lose versioning? Sloppy environment setup?) and replace them with the right way to do stuff, one that won't bite us in the backside. This is the point, and the best opportunity, to upcycle the existing way of doing dev environment to produce a proper, production-grade product.

        I should probably digress here for a moment and explain why. I firmly believe that the way you deploy production is the same way you should deploy develop, shy of few debugging-friendly setting. This way you avoid the discrepancy between how production work vs how development works, which almost always causes major pains in the back of the neck, and with use of proper tools should mean no more work for the developers. That's why we start with Vagrant as developer boxes should be as easy as vagrant up, but the meat of our product lies in Ansible which will do meat of the work and can be applied to almost anything: AWS, bare metal, docker, LXC, in open net, behind vpn - you name it.

        We must also give proper consideration to monitoring and logging hoovering at this point. My generic answer here is to grab Elasticsearch, Kibana, and Logstash. While for different use cases there may be better solutions, this one is well battle-tested, performs reasonably and is very easy to scale both vertically (within some limits) and horizontally. Logstash rules are easy to write and are well supported in maintenance through Ansible, which as I've mentioned earlier, are at the very core of things, and creating triggers/reports and alerts based on Elastic and Kibana is generally a breeze, including some quite complex aggregations.

        If we are happy with the state of the Ansible it's time to move on and put all those roles and playbooks to work. Namely, we need something to manage our CI/CD pipelines. For me, the choice is obvious: TeamCity. It's modern, robust and unlike most of the light-weight alternatives, it's transparent. What I mean by that is that it doesn't tell you how to do things, doesn't limit your ways to deploy, or test, or package for that matter. Instead, it provides a developer-friendly and rich playground for your pipelines. You can do most the same with Jenkins, but it has a quite dated look and feel to it, while also missing some key functionality that must be brought in via plugins (like quality REST API which comes built-in with TeamCity). It also comes with all the common-handy plugins like Slack or Apache Maven integration.

        The exact flow between CI and CD varies too greatly from one application to another to describe, so I will outline a few rules that guide me in it: 1. Make build steps as small as possible. This way when something breaks, we know exactly where, without needing to dig and root around. 2. All security credentials besides development environment must be sources from individual Vault instances. Keys to those containers should exist only on the CI/CD box and accessible by a few people (the less the better). This is pretty self-explanatory, as anything besides dev may contain sensitive data and, at times, be public-facing. Because of that appropriate security must be present. TeamCity shines in this department with excellent secrets-management. 3. Every part of the build chain shall consume and produce artifacts. If it creates nothing, it likely shouldn't be its own build. This way if any issue shows up with any environment or version, all developer has to do it is grab appropriate artifacts to reproduce the issue locally. 4. Deployment builds should be directly tied to specific Git branches/tags. This enables much easier tracking of what caused an issue, including automated identifying and tagging the author (nothing like automated regression testing!).

        Speaking of deployments, I generally try to keep it simple but also with a close eye on the wallet. Because of that, I am more than happy with AWS or another cloud provider, but also constantly peeking at the loads and do we get the value of what we are paying for. Often enough the pattern of use is not constantly erratic, but rather has a firm baseline which could be migrated away from the cloud and into bare metal boxes. That is another part where this approach strongly triumphs over the common Docker and CircleCI setup, where you are very much tied in to use cloud providers and getting out is expensive. Here to embrace bare-metal hosting all you need is a help of some container-based self-hosting software, my personal preference is with Proxmox and LXC. Following that all you must write are ansible scripts to manage hardware of Proxmox, similar way as you do for Amazon EC2 (ansible supports both greatly) and you are good to go. One does not exclude another, quite the opposite, as they can live in great synergy and cut your costs dramatically (the heavier your base load, the bigger the savings) while providing production-grade resiliency.

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