Alternatives to NUnit logo

Alternatives to NUnit

xUnit, JUnit, TestNG, Git, and GitHub are the most popular alternatives and competitors to NUnit.
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What is NUnit and what are its top alternatives?

An evolving, open source framework designed for writing and running tests in Microsoft .NET programming languages.It is an aspect of test-driven development , which is part of a larger software design paradigm known as Extreme Programming
NUnit is a tool in the Testing Frameworks category of a tech stack.

Top Alternatives to NUnit

  • xUnit
    xUnit

    It is a free, open source, community-focused unit testing tool for the .NET Framework. It is the latest technology for unit testing C#, F#, VB.NET and other .NET languages. It works with ReSharper, CodeRush, TestDriven.NET and Xamarin. ...

  • JUnit
    JUnit

    JUnit is a simple framework to write repeatable tests. It is an instance of the xUnit architecture for unit testing frameworks. ...

  • TestNG
    TestNG

    It is a testing framework designed to simplify a broad range of testing needs, it covers all categories of tests: unit, functional, end-to-end, integration, etc.Run your tests in arbitrarily big thread pools with various policies available (all methods in their own thread, one thread per test class, etc. ...

  • 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. ...

  • Visual Studio Code
    Visual Studio Code

    Build and debug modern web and cloud applications. Code is free and available on your favorite platform - Linux, Mac OSX, and Windows. ...

  • Docker
    Docker

    The Docker Platform is the industry-leading container platform for continuous, high-velocity innovation, enabling organizations to seamlessly build and share any application — from legacy to what comes next — and securely run them anywhere ...

  • npm
    npm

    npm is the command-line interface to the npm ecosystem. It is battle-tested, surprisingly flexible, and used by hundreds of thousands of JavaScript developers every day. ...

NUnit alternatives & related posts

xUnit logo

xUnit

730
0
An open source, community-focused unit testing tool
730
0
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      JUnit logo

      JUnit

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      A programmer-oriented testing framework for Java
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          Jack Graves

          We use JUnit and Jest to perform the bulk of our automated test scenarios, with additional work with Apache JMeter for performance testing - for example, the Atlassian Data Center compliance testing is performed with JMeter. Jest provides testing for the React interfaces, which make up the backend of our App offerings. JUnit is used for Unit Testing our Server-based Apps. Mocha is another tool we use.

          See more

          We are looking for a Testing Tool that can integrate with Java/ React/ Go/ Python/ Node.js. Which amongst the three tools JUnit, NUnit & Selenium would be the best for this use case?

          See more
          TestNG logo

          TestNG

          474
          0
          A testing framework inspired from JUnit and NUnit
          474
          0
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            CONS OF TESTNG
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              Joshua Dean Küpper
              CEO at Scrayos UG (haftungsbeschränkt) · | 1 upvote · 565.4K views

              We use JUnit for our Java Unit and Integration tests in Version 5. Combined with @JMockit2 and @truth (from Google) we perform all kinds of tests on our minecraft, standalone and microservice architecture.

              We prefer JUnit over TestNG because of the bigger community, better support and the generally more agile development. JUnit integrates nicely with most software, while TestNG support is a little more limited.

              See more
              Git logo

              Git

              297.6K
              6.6K
              Fast, scalable, distributed revision control system
              297.6K
              6.6K
              PROS OF GIT
              • 1.4K
                Distributed version control system
              • 1.1K
                Efficient branching and merging
              • 959
                Fast
              • 845
                Open source
              • 726
                Better than svn
              • 368
                Great command-line application
              • 306
                Simple
              • 291
                Free
              • 232
                Easy to use
              • 222
                Does not require server
              • 27
                Distributed
              • 22
                Small & Fast
              • 18
                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
              • 1
                It's what you do
              • 0
                Phinx
              CONS OF GIT
              • 16
                Hard to learn
              • 11
                Inconsistent command line interface
              • 9
                Easy to lose uncommitted work
              • 8
                Worst documentation ever possibly made
              • 5
                Awful merge handling
              • 3
                Unexistent preventive security flows
              • 3
                Rebase hell
              • 2
                Ironically even die-hard supporters screw up badly
              • 2
                When --force is disabled, cannot rebase
              • 1
                Doesn't scale for big data

              related Git posts

              Simon Reymann
              Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 11.6M 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.
              See more
              Tymoteusz Paul
              Devops guy at X20X Development LTD · | 23 upvotes · 10M 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.

              See more
              GitHub logo

              GitHub

              286.1K
              10.3K
              Powerful collaboration, review, and code management for open source and private development projects
              286.1K
              10.3K
              PROS OF GITHUB
              • 1.8K
                Open source friendly
              • 1.5K
                Easy source control
              • 1.3K
                Nice UI
              • 1.1K
                Great for team collaboration
              • 867
                Easy setup
              • 504
                Issue tracker
              • 487
                Great community
              • 483
                Remote team collaboration
              • 449
                Great way to share
              • 442
                Pull request and features planning
              • 147
                Just works
              • 132
                Integrated in many tools
              • 122
                Free Public Repos
              • 116
                Github Gists
              • 113
                Github pages
              • 83
                Easy to find repos
              • 62
                Open source
              • 60
                Easy to find projects
              • 60
                It's free
              • 56
                Network effect
              • 49
                Extensive API
              • 43
                Organizations
              • 42
                Branching
              • 34
                Developer Profiles
              • 32
                Git Powered Wikis
              • 30
                Great for collaboration
              • 24
                It's fun
              • 23
                Clean interface and good integrations
              • 22
                Community SDK involvement
              • 20
                Learn from others source code
              • 16
                Because: Git
              • 14
                It integrates directly with Azure
              • 10
                Standard in Open Source collab
              • 10
                Newsfeed
              • 8
                Fast
              • 8
                Beautiful user experience
              • 8
                It integrates directly with Hipchat
              • 7
                Easy to discover new code libraries
              • 6
                Smooth integration
              • 6
                Integrations
              • 6
                Graphs
              • 6
                Nice API
              • 6
                It's awesome
              • 6
                Cloud SCM
              • 5
                Quick Onboarding
              • 5
                Remarkable uptime
              • 5
                CI Integration
              • 5
                Reliable
              • 5
                Hands down best online Git service available
              • 4
                Version Control
              • 4
                Unlimited Public Repos at no cost
              • 4
                Simple but powerful
              • 4
                Loved by developers
              • 4
                Free HTML hosting
              • 4
                Uses GIT
              • 4
                Security options
              • 4
                Easy to use and collaborate with others
              • 3
                Easy deployment via SSH
              • 3
                Ci
              • 3
                IAM
              • 3
                Nice to use
              • 2
                Easy and efficient maintainance of the projects
              • 2
                Beautiful
              • 2
                Self Hosted
              • 2
                Issues tracker
              • 2
                Easy source control and everything is backed up
              • 2
                Never dethroned
              • 2
                All in one development service
              • 2
                Good tools support
              • 2
                Free HTML hostings
              • 2
                IAM integration
              • 2
                Very Easy to Use
              • 2
                Easy to use
              • 2
                Leads the copycats
              • 2
                Free private repos
              • 1
                Profound
              • 1
                Dasf
              CONS OF GITHUB
              • 55
                Owned by micrcosoft
              • 38
                Expensive for lone developers that want private repos
              • 15
                Relatively slow product/feature release cadence
              • 10
                API scoping could be better
              • 9
                Only 3 collaborators for private repos
              • 4
                Limited featureset for issue management
              • 3
                Does not have a graph for showing history like git lens
              • 2
                GitHub Packages does not support SNAPSHOT versions
              • 1
                No multilingual interface
              • 1
                Takes a long time to commit
              • 1
                Expensive

              related GitHub posts

              Johnny Bell

              I was building a personal project that I needed to store items in a real time database. I am more comfortable with my Frontend skills than my backend so I didn't want to spend time building out anything in Ruby or Go.

              I stumbled on Firebase by #Google, and it was really all I needed. It had realtime data, an area for storing file uploads and best of all for the amount of data I needed it was free!

              I built out my application using tools I was familiar with, React for the framework, Redux.js to manage my state across components, and styled-components for the styling.

              Now as this was a project I was just working on in my free time for fun I didn't really want to pay for hosting. I did some research and I found Netlify. I had actually seen them at #ReactRally the year before and deployed a Gatsby site to Netlify already.

              Netlify was very easy to setup and link to my GitHub account you select a repo and pretty much with very little configuration you have a live site that will deploy every time you push to master.

              With the selection of these tools I was able to build out my application, connect it to a realtime database, and deploy to a live environment all with $0 spent.

              If you're looking to build out a small app I suggest giving these tools a go as you can get your idea out into the real world for absolutely no cost.

              See more

              Context: I wanted to create an end to end IoT data pipeline simulation in Google Cloud IoT Core and other GCP services. I never touched Terraform meaningfully until working on this project, and it's one of the best explorations in my development career. The documentation and syntax is incredibly human-readable and friendly. I'm used to building infrastructure through the google apis via Python , but I'm so glad past Sung did not make that decision. I was tempted to use Google Cloud Deployment Manager, but the templates were a bit convoluted by first impression. I'm glad past Sung did not make this decision either.

              Solution: Leveraging Google Cloud Build Google Cloud Run Google Cloud Bigtable Google BigQuery Google Cloud Storage Google Compute Engine along with some other fun tools, I can deploy over 40 GCP resources using Terraform!

              Check Out My Architecture: CLICK ME

              Check out the GitHub repo attached

              See more
              Visual Studio Code logo

              Visual Studio Code

              179.5K
              2.3K
              Build and debug modern web and cloud applications, by Microsoft
              179.5K
              2.3K
              PROS OF VISUAL STUDIO CODE
              • 340
                Powerful multilanguage IDE
              • 308
                Fast
              • 193
                Front-end develop out of the box
              • 158
                Support TypeScript IntelliSense
              • 142
                Very basic but free
              • 126
                Git integration
              • 106
                Intellisense
              • 78
                Faster than Atom
              • 53
                Better ui, easy plugins, and nice git integration
              • 45
                Great Refactoring Tools
              • 44
                Good Plugins
              • 42
                Terminal
              • 38
                Superb markdown support
              • 36
                Open Source
              • 35
                Extensions
              • 26
                Awesome UI
              • 26
                Large & up-to-date extension community
              • 24
                Powerful and fast
              • 22
                Portable
              • 18
                Best code editor
              • 18
                Best editor
              • 17
                Easy to get started with
              • 15
                Lots of extensions
              • 15
                Good for begginers
              • 15
                Crossplatform
              • 15
                Built on Electron
              • 14
                Extensions for everything
              • 14
                Open, cross-platform, fast, monthly updates
              • 14
                All Languages Support
              • 13
                Easy to use and learn
              • 12
                "fast, stable & easy to use"
              • 12
                Extensible
              • 11
                Ui design is great
              • 11
                Totally customizable
              • 11
                Git out of the box
              • 11
                Useful for begginer
              • 11
                Faster edit for slow computer
              • 10
                SSH support
              • 10
                Great community
              • 10
                Fast Startup
              • 9
                Works With Almost EveryThing You Need
              • 9
                Great language support
              • 9
                Powerful Debugger
              • 9
                It has terminal and there are lots of shortcuts in it
              • 8
                Can compile and run .py files
              • 8
                Python extension is fast
              • 7
                Features rich
              • 7
                Great document formater
              • 6
                He is not Michael
              • 6
                Extension Echosystem
              • 6
                She is not Rachel
              • 6
                Awesome multi cursor support
              • 5
                VSCode.pro Course makes it easy to learn
              • 5
                Language server client
              • 5
                SFTP Workspace
              • 5
                Very proffesional
              • 5
                Easy azure
              • 4
                Has better support and more extentions for debugging
              • 4
                Supports lots of operating systems
              • 4
                Excellent as git difftool and mergetool
              • 4
                Virtualenv integration
              • 3
                Better autocompletes than Atom
              • 3
                Has more than enough languages for any developer
              • 3
                'batteries included'
              • 3
                More tools to integrate with vs
              • 3
                Emmet preinstalled
              • 2
                VS Code Server: Browser version of VS Code
              • 2
                CMake support with autocomplete
              • 2
                Microsoft
              • 2
                Customizable
              • 2
                Light
              • 2
                Big extension marketplace
              • 2
                Fast and ruby is built right in
              • 1
                File:///C:/Users/ydemi/Downloads/yuksel_demirkaya_webpa
              CONS OF VISUAL STUDIO CODE
              • 46
                Slow startup
              • 29
                Resource hog at times
              • 20
                Poor refactoring
              • 13
                Poor UI Designer
              • 11
                Weak Ui design tools
              • 10
                Poor autocomplete
              • 8
                Super Slow
              • 8
                Huge cpu usage with few installed extension
              • 8
                Microsoft sends telemetry data
              • 7
                Poor in PHP
              • 6
                It's MicroSoft
              • 3
                Poor in Python
              • 3
                No Built in Browser Preview
              • 3
                No color Intergrator
              • 3
                Very basic for java development and buggy at times
              • 3
                No built in live Preview
              • 3
                Electron
              • 2
                Bad Plugin Architecture
              • 2
                Powered by Electron
              • 1
                Terminal does not identify path vars sometimes
              • 1
                Slow C++ Language Server

              related Visual Studio Code posts

              Yshay Yaacobi

              Our first experience with .NET core was when we developed our OSS feature management platform - Tweek (https://github.com/soluto/tweek). We wanted to create a solution that is able to run anywhere (super important for OSS), has excellent performance characteristics and can fit in a multi-container architecture. We decided to implement our rule engine processor in F# , our main service was implemented in C# and other components were built using JavaScript / TypeScript and Go.

              Visual Studio Code worked really well for us as well, it worked well with all our polyglot services and the .Net core integration had great cross-platform developer experience (to be fair, F# was a bit trickier) - actually, each of our team members used a different OS (Ubuntu, macos, windows). Our production deployment ran for a time on Docker Swarm until we've decided to adopt Kubernetes with almost seamless migration process.

              After our positive experience of running .Net core workloads in containers and developing Tweek's .Net services on non-windows machines, C# had gained back some of its popularity (originally lost to Node.js), and other teams have been using it for developing microservices, k8s sidecars (like https://github.com/Soluto/airbag), cli tools, serverless functions and other projects...

              See more
              Simon Reymann
              Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 11.6M 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.
              See more
              Docker logo

              Docker

              174.6K
              3.9K
              Enterprise Container Platform for High-Velocity Innovation.
              174.6K
              3.9K
              PROS OF DOCKER
              • 823
                Rapid integration and build up
              • 692
                Isolation
              • 521
                Open source
              • 505
                Testa­bil­i­ty and re­pro­ducibil­i­ty
              • 460
                Lightweight
              • 218
                Standardization
              • 185
                Scalable
              • 106
                Upgrading / down­grad­ing / ap­pli­ca­tion versions
              • 88
                Security
              • 85
                Private paas environments
              • 34
                Portability
              • 26
                Limit resource usage
              • 17
                Game changer
              • 16
                I love the way docker has changed virtualization
              • 14
                Fast
              • 12
                Concurrency
              • 8
                Docker's Compose tools
              • 6
                Easy setup
              • 6
                Fast and Portable
              • 5
                Because its fun
              • 4
                Makes shipping to production very simple
              • 3
                Highly useful
              • 3
                It's dope
              • 2
                Package the environment with the application
              • 2
                Super
              • 2
                Open source and highly configurable
              • 2
                Simplicity, isolation, resource effective
              • 2
                MacOS support FAKE
              • 2
                Its cool
              • 2
                Does a nice job hogging memory
              • 2
                Docker hub for the FTW
              • 2
                HIgh Throughput
              • 2
                Very easy to setup integrate and build
              • 0
                Asdfd
              CONS OF DOCKER
              • 8
                New versions == broken features
              • 6
                Unreliable networking
              • 6
                Documentation not always in sync
              • 4
                Moves quickly
              • 3
                Not Secure

              related Docker posts

              Simon Reymann
              Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 11.6M 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 · 10M 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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              Simon Reymann
              Senior Fullstack Developer at QUANTUSflow Software GmbH · | 27 upvotes · 5.1M views

              Our whole Node.js backend stack consists of the following tools:

              • Lerna as a tool for multi package and multi repository management
              • npm as package manager
              • NestJS as Node.js framework
              • TypeScript as programming language
              • ExpressJS as web server
              • Swagger UI for visualizing and interacting with the API’s resources
              • Postman as a tool for API development
              • TypeORM as object relational mapping layer
              • JSON Web Token for access token management

              The main reason we have chosen Node.js over PHP is related to the following artifacts:

              • Made for the web and widely in use: Node.js is a software platform for developing server-side network services. Well-known projects that rely on Node.js include the blogging software Ghost, the project management tool Trello and the operating system WebOS. Node.js requires the JavaScript runtime environment V8, which was specially developed by Google for the popular Chrome browser. This guarantees a very resource-saving architecture, which qualifies Node.js especially for the operation of a web server. Ryan Dahl, the developer of Node.js, released the first stable version on May 27, 2009. He developed Node.js out of dissatisfaction with the possibilities that JavaScript offered at the time. The basic functionality of Node.js has been mapped with JavaScript since the first version, which can be expanded with a large number of different modules. The current package managers (npm or Yarn) for Node.js know more than 1,000,000 of these modules.
              • Fast server-side solutions: Node.js adopts the JavaScript "event-loop" to create non-blocking I/O applications that conveniently serve simultaneous events. With the standard available asynchronous processing within JavaScript/TypeScript, highly scalable, server-side solutions can be realized. The efficient use of the CPU and the RAM is maximized and more simultaneous requests can be processed than with conventional multi-thread servers.
              • A language along the entire stack: Widely used frameworks such as React or AngularJS or Vue.js, which we prefer, are written in JavaScript/TypeScript. If Node.js is now used on the server side, you can use all the advantages of a uniform script language throughout the entire application development. The same language in the back- and frontend simplifies the maintenance of the application and also the coordination within the development team.
              • Flexibility: Node.js sets very few strict dependencies, rules and guidelines and thus grants a high degree of flexibility in application development. There are no strict conventions so that the appropriate architecture, design structures, modules and features can be freely selected for the development.
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              Johnny Bell

              So when starting a new project you generally have your go to tools to get your site up and running locally, and some scripts to build out a production version of your site. Create React App is great for that, however for my projects I feel as though there is to much bloat in Create React App and if I use it, then I'm tied to React, which I love but if I want to switch it up to Vue or something I want that flexibility.

              So to start everything up and running I clone my personal Webpack boilerplate - This is still in Webpack 3, and does need some updating but gets the job done for now. So given the name of the repo you may have guessed that yes I am using Webpack as my bundler I use Webpack because it is so powerful, and even though it has a steep learning curve once you get it, its amazing.

              The next thing I do is make sure my machine has Node.js configured and the right version installed then run Yarn. I decided to use Yarn because when I was building out this project npm had some shortcomings such as no .lock file. I could probably move from Yarn to npm but I don't really see any point really.

              I use Babel to transpile all of my #ES6 to #ES5 so the browser can read it, I love Babel and to be honest haven't looked up any other transpilers because Babel is amazing.

              Finally when developing I have Prettier setup to make sure all my code is clean and uniform across all my JS files, and ESLint to make sure I catch any errors or code that could be optimized.

              I'm really happy with this stack for my local env setup, and I'll probably stick with it for a while.

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