Alternatives to Nightwatchjs logo

Alternatives to Nightwatchjs

WebdriverIO, Selenium, Cypress, Protractor, and Git are the most popular alternatives and competitors to Nightwatchjs.
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What is Nightwatchjs and what are its top alternatives?

Nightwatch.js is an easy to use Node.js based End-to-End (E2E) testing solution for browser based apps and websites. It uses the powerful Selenium WebDriver API to perform commands and assertions on DOM elements.
Nightwatchjs is a tool in the Browser Testing category of a tech stack.
Nightwatchjs is an open source tool with 11.9K GitHub stars and 1.4K GitHub forks. Here’s a link to Nightwatchjs's open source repository on GitHub

Top Alternatives to Nightwatchjs

  • WebdriverIO
    WebdriverIO

    WebdriverIO lets you control a browser or a mobile application with just a few lines of code. Your test code will look simple, concise and easy to read. ...

  • 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. ...

  • 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. ...

  • Protractor
    Protractor

    Protractor is an end-to-end test framework for Angular and AngularJS applications. Protractor runs tests against your application running in a real browser, interacting with it as a user would. ...

  • 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 ...

Nightwatchjs alternatives & related posts

WebdriverIO logo

WebdriverIO

348
40
Webdriver/Selenium 2.0 JavaScript bindings for Node.js
348
40
PROS OF WEBDRIVERIO
  • 11
    Various integrations to vendors like Sauce Labs
  • 10
    Open Source
  • 8
    Great community
  • 7
    Easy to setup
  • 4
    Best solution for broad browser support
CONS OF WEBDRIVERIO
  • 8
    High maintenance

related WebdriverIO posts

Raziel Alron
Automation Engineer at Tipalti · | 7 upvotes · 2M views

Currently, we are using Protractor in our project. Since Protractor isn't updated anymore, we are looking for a new tool. The strongest suggestions are WebdriverIO or Puppeteer. Please help me figure out what tool would make the transition fastest and easiest. Please note that Protractor uses its own locator system, and we want the switch to be as simple as possible. Thank you!

See more
Kevin Roulleau
QA Engineer Freelance at happn · | 5 upvotes · 1.2M views

I chose WebdriverIO and Appium to implement a E2E tests solution on a native mobile app. WebdriverIO goes well beyond just implementing the Selenium / Appium protocol and allows to run tests in parallel out of the box. Appium has the big advantage of supporting iOS and Android platforms, so the test codebase and tools are exactly the same, which greatly reduces the learning curve and implementation time.

See more
Selenium logo

Selenium

15.7K
527
Web Browser Automation
15.7K
527
PROS OF SELENIUM
  • 177
    Automates browsers
  • 154
    Testing
  • 101
    Essential tool for running test automation
  • 24
    Record-Playback
  • 24
    Remote Control
  • 8
    Data crawling
  • 7
    Supports end to end testing
  • 6
    Easy set up
  • 6
    Functional testing
  • 4
    The Most flexible monitoring system
  • 3
    End to End Testing
  • 3
    Easy to integrate with build tools
  • 2
    Comparing the performance selenium is faster than jasm
  • 2
    Record and playback
  • 2
    Compatible with Python
  • 2
    Easy to scale
  • 2
    Integration Tests
  • 0
    Integrated into Selenium-Jupiter framework
CONS OF SELENIUM
  • 8
    Flaky tests
  • 4
    Slow as needs to make browser (even with no gui)
  • 2
    Update browser drivers

related Selenium posts

Kamil Kowalski
Lead Architect at Fresha · | 28 upvotes · 4.1M 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.

See more
Simon Bettison
Managing Director at Bettison.org Limited · | 9 upvotes · 872.8K views

In 2012 we made the very difficult decision to entirely re-engineer our existing monolithic LAMP application from the ground up in order to address some growing concerns about it's long term viability as a platform.

Full application re-write is almost always never the answer, because of the risks involved. However the situation warranted drastic action as it was clear that the existing product was going to face severe scaling issues. We felt it better address these sooner rather than later and also take the opportunity to improve the international architecture and also to refactor the database in. order that it better matched the changes in core functionality.

PostgreSQL was chosen for its reputation as being solid ACID compliant database backend, it was available as an offering AWS RDS service which reduced the management overhead of us having to configure it ourselves. In order to reduce read load on the primary database we implemented an Elasticsearch layer for fast and scalable search operations. Synchronisation of these indexes was to be achieved through the use of Sidekiq's Redis based background workers on Amazon ElastiCache. Again the AWS solution here looked to be an easy way to keep our involvement in managing this part of the platform at a minimum. Allowing us to focus on our core business.

Rails ls was chosen for its ability to quickly get core functionality up and running, its MVC architecture and also its focus on Test Driven Development using RSpec and Selenium with Travis CI providing continual integration. We also liked Ruby for its terse, clean and elegant syntax. Though YMMV on that one!

Unicorn was chosen for its continual deployment and reputation as a reliable application server, nginx for its reputation as a fast and stable reverse-proxy. We also took advantage of the Amazon CloudFront CDN here to further improve performance by caching static assets globally.

We tried to strike a balance between having control over management and configuration of our core application with the convenience of being able to leverage AWS hosted services for ancillary functions (Amazon SES , Amazon SQS Amazon Route 53 all hosted securely inside Amazon VPC of course!).

Whilst there is some compromise here with potential vendor lock in, the tasks being performed by these ancillary services are no particularly specialised which should mitigate this risk. Furthermore we have already containerised the stack in our development using Docker environment, and looking to how best to bring this into production - potentially using Amazon EC2 Container Service

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Cypress logo

Cypress

2.4K
115
When testing is easy, developers build better things faster and with confidence.
2.4K
115
PROS OF CYPRESS
  • 29
    Open source
  • 22
    Great documentation
  • 20
    Simple usage
  • 18
    Fast
  • 10
    Cross Browser testing
  • 9
    Easy us with CI
  • 5
    Npm install cypress only
  • 2
    Good for beginner automation engineers
CONS OF CYPRESS
  • 21
    Cypress is weak at cross-browser testing
  • 14
    Switch tabs : Cypress can'nt support
  • 12
    No iFrame support
  • 9
    No page object support
  • 9
    No multiple domain support
  • 8
    No file upload support
  • 8
    No support for multiple tab control
  • 8
    No xPath support
  • 7
    No support for Safari
  • 7
    Cypress doesn't support native app
  • 7
    Re-run failed tests retries not supported yet
  • 7
    No support for multiple browser control
  • 5
    $20/user/thread for reports
  • 4
    Adobe
  • 4
    Using a non-standard automation protocol
  • 4
    Not freeware
  • 3
    No 'WD wire protocol' support

related Cypress posts

Kamil Kowalski
Lead Architect at Fresha · | 28 upvotes · 4.1M 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.

See more
Robert Zuber

We are in the process of adopting Next.js as our React framework and using Storybook to help build our React components in isolation. This new part of our frontend is written in TypeScript, and we use Emotion for CSS/styling. For delivering data, we use GraphQL and Apollo. Jest, Percy, and Cypress are used for testing.

See more
Protractor logo

Protractor

1K
33
End-to-end test framework for Angular and AngularJS applications
1K
33
PROS OF PROTRACTOR
  • 9
    Easy setup
  • 8
    Quick tests implementation
  • 6
    Flexible
  • 5
    Open source
  • 5
    Promise support
CONS OF PROTRACTOR
  • 4
    Limited

related Protractor posts

Raziel Alron
Automation Engineer at Tipalti · | 7 upvotes · 2M views

Currently, we are using Protractor in our project. Since Protractor isn't updated anymore, we are looking for a new tool. The strongest suggestions are WebdriverIO or Puppeteer. Please help me figure out what tool would make the transition fastest and easiest. Please note that Protractor uses its own locator system, and we want the switch to be as simple as possible. Thank you!

See more
Sai Chaitanya Mankala
Tech Lead at KIOT Innovations · | 6 upvotes · 878.9K views

Protractor or Cypress for ionic-angular?

We have a huge ionic-angular app with almost 100 pages and 10+ injectables. There are no tests written yet. Before we start, we need some suggestions about the framework. Would you suggest Cypress or Angular's Protractor with Jasmine / Karma for a heavy ionic app with Angular?

See more
Git logo

Git

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Fast, scalable, distributed revision control system
299.5K
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
  • 28
    Distributed
  • 23
    Small & Fast
  • 18
    Feature based workflow
  • 15
    Staging Area
  • 13
    Most wide-spread VSC
  • 11
    Disposable Experimentation
  • 11
    Role-based codelines
  • 7
    Frictionless Context Switching
  • 6
    Data Assurance
  • 5
    Efficient
  • 4
    Just awesome
  • 3
    Easy branching and merging
  • 3
    Github integration
  • 2
    Compatible
  • 2
    Possible to lose history and commits
  • 2
    Flexible
  • 1
    Team Integration
  • 1
    Easy
  • 1
    Light
  • 1
    Fast, scalable, distributed revision control system
  • 1
    Rebase supported natively; reflog; access to plumbing
  • 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 · 12M 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 · 10.2M 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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GitHub

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Powerful collaboration, review, and code management for open source and private development projects
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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
  • 868
    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
    It's awesome
  • 6
    Smooth integration
  • 6
    Cloud SCM
  • 6
    Nice API
  • 6
    Graphs
  • 6
    Integrations
  • 5
    Hands down best online Git service available
  • 5
    Reliable
  • 5
    Quick Onboarding
  • 5
    CI Integration
  • 5
    Remarkable uptime
  • 4
    Security options
  • 4
    Loved by developers
  • 4
    Uses GIT
  • 4
    Free HTML hosting
  • 4
    Easy to use and collaborate with others
  • 4
    Version Control
  • 4
    Simple but powerful
  • 4
    Unlimited Public Repos at no cost
  • 3
    Nice to use
  • 3
    IAM
  • 3
    Ci
  • 3
    Easy deployment via SSH
  • 2
    Free private repos
  • 2
    Good tools support
  • 2
    All in one development service
  • 2
    Never dethroned
  • 2
    Easy source control and everything is backed up
  • 2
    Issues tracker
  • 2
    Self Hosted
  • 2
    IAM integration
  • 2
    Very Easy to Use
  • 2
    Easy to use
  • 2
    Leads the copycats
  • 2
    Free HTML hostings
  • 2
    Easy and efficient maintainance of the projects
  • 2
    Beautiful
  • 1
    Dasf
  • 1
    Profound
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
    Horrible review comments tracking (absence)
  • 1
    Takes a long time to commit
  • 1
    No multilingual interface
  • 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

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Visual Studio Code

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Build and debug modern web and cloud applications, by Microsoft
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PROS OF VISUAL STUDIO CODE
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    Powerful multilanguage IDE
  • 308
    Fast
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    Front-end develop out of the box
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    Support TypeScript IntelliSense
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    Very basic but free
  • 126
    Git integration
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    Intellisense
  • 78
    Faster than Atom
  • 53
    Better ui, easy plugins, and nice git integration
  • 45
    Great Refactoring Tools
  • 44
    Good Plugins
  • 42
    Terminal
  • 38
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  • 36
    Open Source
  • 35
    Extensions
  • 26
    Awesome UI
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    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
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  • 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
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    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...

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Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 12M 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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Docker logo

Docker

176K
3.9K
Enterprise Container Platform for High-Velocity Innovation.
176K
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 · 12M 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 · 10.2M 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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