Alternatives to GitLab logo

Alternatives to GitLab

GitHub, Bitbucket, Jenkins, Gogs, and Git are the most popular alternatives and competitors to GitLab.
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What is GitLab and what are its top alternatives?

GitLab offers git repository management, code reviews, issue tracking, activity feeds and wikis. Enterprises install GitLab on-premise and connect it with LDAP and Active Directory servers for secure authentication and authorization. A single GitLab server can handle more than 25,000 users but it is also possible to create a high availability setup with multiple active servers.
GitLab is a tool in the Code Collaboration & Version Control category of a tech stack.

Top Alternatives to GitLab

  • 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. ...

  • Bitbucket

    Bitbucket

    Bitbucket gives teams one place to plan projects, collaborate on code, test and deploy, all with free private Git repositories. Teams choose Bitbucket because it has a superior Jira integration, built-in CI/CD, & is free for up to 5 users. ...

  • Jenkins

    Jenkins

    In a nutshell Jenkins CI is the leading open-source continuous integration server. Built with Java, it provides over 300 plugins to support building and testing virtually any project. ...

  • Gogs

    Gogs

    The goal of this project is to make the easiest, fastest and most painless way to set up a self-hosted Git service. With Go, this can be done in independent binary distribution across ALL platforms that Go supports, including Linux, Mac OS X, and Windows. ...

  • 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. ...

  • Azure DevOps

    Azure DevOps

    Azure DevOps provides unlimited private Git hosting, cloud build for continuous integration, agile planning, and release management for continuous delivery to the cloud and on-premises. Includes broad IDE support. ...

  • Bamboo

    Bamboo

    Focus on coding and count on Bamboo as your CI and build server! Create multi-stage build plans, set up triggers to start builds upon commits, and assign agents to your critical builds and deployments. ...

  • GitLab CI

    GitLab CI

    GitLab offers a continuous integration service. If you add a .gitlab-ci.yml file to the root directory of your repository, and configure your GitLab project to use a Runner, then each merge request or push triggers your CI pipeline. ...

GitLab alternatives & related posts

GitHub logo

GitHub

176.5K
143.3K
10.2K
Powerful collaboration, review, and code management for open source and private development projects
176.5K
143.3K
+ 1
10.2K
PROS OF GITHUB
  • 1.8K
    Open source friendly
  • 1.5K
    Easy source control
  • 1.2K
    Nice UI
  • 1.1K
    Great for team collaboration
  • 857
    Easy setup
  • 496
    Issue tracker
  • 478
    Great community
  • 475
    Remote team collaboration
  • 444
    Great way to share
  • 436
    Pull request and features planning
  • 139
    Just works
  • 125
    Integrated in many tools
  • 112
    Free Public Repos
  • 106
    Github Gists
  • 103
    Github pages
  • 81
    Easy to find repos
  • 60
    Open source
  • 58
    Easy to find projects
  • 56
    Network effect
  • 55
    It's free
  • 47
    Extensive API
  • 42
    Organizations
  • 41
    Branching
  • 33
    Developer Profiles
  • 32
    Git Powered Wikis
  • 29
    Great for collaboration
  • 23
    It's fun
  • 22
    Community SDK involvement
  • 21
    Clean interface and good integrations
  • 19
    Learn from others source code
  • 14
    It integrates directly with Azure
  • 14
    Because: Git
  • 13
    Wide acceptance
  • 10
    Large community
  • 9
    Newsfeed
  • 9
    Standard in Open Source collab
  • 8
    It integrates directly with Hipchat
  • 7
    Beautiful user experience
  • 7
    Fast
  • 6
    Cloud SCM
  • 6
    Easy to discover new code libraries
  • 5
    Smooth integration
  • 5
    Nice API
  • 5
    Graphs
  • 5
    Integrations
  • 5
    It's awesome
  • 4
    Hands down best online Git service available
  • 4
    Reliable
  • 4
    Remarkable uptime
  • 3
    Easy to use and collaborate with others
  • 3
    CI Integration
  • 3
    Free HTML hosting
  • 3
    Loved by developers
  • 3
    Quick Onboarding
  • 3
    Security options
  • 3
    Simple but powerful
  • 3
    Uses GIT
  • 3
    Unlimited Public Repos at no cost
  • 3
    Version Control
  • 2
    Nice to use
  • 1
    Free private repos
  • 1
    Easy deployment via SSH
  • 1
    Beautiful
  • 1
    Owned by micrcosoft
  • 1
    Free HTML hostings
  • 1
    Self Hosted
  • 1
    All in one development service
  • 1
    Easy to use
  • 1
    Good tools support
  • 1
    Easy source control and everything is backed up
  • 1
    Leads the copycats
  • 1
    Never dethroned
  • 1
    Ci
  • 1
    Issues tracker
  • 1
    Easy and efficient maintainance of the projects
  • 1
    IAM
  • 1
    IAM integration
  • 0
    Profound
  • 0
    1
CONS OF GITHUB
  • 45
    Owned by micrcosoft
  • 36
    Expensive for lone developers that want private repos
  • 15
    Relatively slow product/feature release cadence
  • 10
    API scoping could be better
  • 8
    Only 3 collaborators for private repos
  • 3
    Limited featureset for issue management
  • 2
    GitHub Packages does not support SNAPSHOT versions
  • 1
    Have to use a token for the package registry
  • 1
    No multilingual interface
  • 1
    Takes a long time to commit

related GitHub posts

Johnny Bell
Software Engineer at Weedmaps · | 77 upvotes · 1.1M views

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
Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 28 upvotes · 3M 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
Bitbucket logo

Bitbucket

30.6K
23.7K
2.8K
One place to plan projects, collaborate on code, test and deploy, all with free private repositories
30.6K
23.7K
+ 1
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PROS OF BITBUCKET
  • 904
    Free private repos
  • 398
    Simple setup
  • 346
    Nice ui and tools
  • 341
    Unlimited private repositories
  • 240
    Affordable git hosting
  • 123
    Integrates with many apis and services
  • 119
    Reliable uptime
  • 86
    Nice gui
  • 84
    Pull requests and code reviews
  • 58
    Very customisable
  • 16
    Mercurial repositories
  • 14
    SourceTree integration
  • 11
    JIRA integration
  • 10
    Track every commit to an issue in JIRA
  • 8
    Best free alternative to Github
  • 8
    Deployment hooks
  • 7
    Automatically share repositories with all your teammates
  • 7
    Compatible with Mac and Windows
  • 6
    Source Code Insight
  • 5
    Create a wiki
  • 5
    Login with Google
  • 5
    Price
  • 5
    Approve pull request button
  • 4
    Customizable pipelines
  • 4
    #2 Atlassian Product after JIRA
  • 3
    Unlimited Private Repos at no cost
  • 3
    Also supports Mercurial
  • 3
    Continuous Integration and Delivery
  • 2
    Multilingual interface
  • 2
    Mercurial Support
  • 2
    IAM
  • 2
    Issues tracker
  • 2
    Open source friendly
  • 2
    Teamcity
  • 2
    Academic license program
  • 2
    IAM integration
  • 0
    Free Private Repositories
CONS OF BITBUCKET
  • 19
    Not much community activity
  • 17
    Difficult to review prs because of confusing ui
  • 14
    Quite buggy
  • 10
    Managed by enterprise Java company
  • 8
    CI tool is not free of charge
  • 7
    Complexity with rights management
  • 6
    Only 5 collaborators for private repos
  • 4
    Slow performance
  • 2
    No AWS Codepipelines integration
  • 1
    No more Mercurial repositories
  • 1
    No server side git-hook support

related Bitbucket posts

Michael Kelly
Senior Software Engineer at StackShare · | 14 upvotes · 609K views

I use GitLab when building side-projects and MVPs. The interface and interactions are close enough to those of GitHub to prevent cognitive switching costs between professional and personal projects hosted on different services.

GitLab also provides a suite of tools including issue/project management, CI/CD with GitLab CI, and validation/landing pages with GitLab Pages. With everything in one place, on an #OpenSourceCloud GitLab makes it easy for me to manage much larger projects on my own, than would be possible with other solutions or tools.

It's petty I know, but I can also read the GitLab code diffs far more easily than diffs on GitHub or Bitbucket...they just look better in my opinion.

See more
Shared insights
on
GitHub
GitLab
Bitbucket

A bit difference in GitHub and GitLab though both are Version Control repository management services which provides key component in the software development workflow. A decision of choosing GitHub over GitLab is major leap extension from code management, to deployment and monitoring alongside looking beyond the code base hosting provided best fitted tools for developer communities.

  • Authentication stages - With GitLab you can set and modify people’s permissions according to their role. In GitHub, you can decide if someone gets a read or write access to a repository.
  • Built-In Continuous Integrations - GitLab offers its very own CI for free. No need to use an external CI service. And if you are already used to an external CI, you can obviously integrate with Jenkins, etc whereas GitHub offers various 3rd party integrations – such as Travis CI, CircleCI or Codeship – for running and testing your code. However, there’s no built-in CI solution at the moment.
  • Import/Export Resources - GitLab offers detailed documentation on how to import your data from other vendors – such as GitHub, Bitbucket to GitLab. GitHub, on the other hand, does not offer such detailed documentation for the most common git repositories. However, GitHub offers to use GitHub Importer if you have your source code in Subversion, Mercurial, TFS and others.

Also when it comes to exporting data, GitLab seems to do a pretty solid job, offering you the ability to export your projects including the following data:

  • Wiki and project repositories
  • Project uploads
  • The configuration including webhooks and services
  • Issues with comments, merge requests with diffs and comments, labels, milestones, snippets, and other project entities.

GitHub, on the other hand, seems to be more restrictive when it comes to export features of existing GitHub repositories. * Integrations - #githubmarketplace gives you an essence to have multiple and competitive integrations whereas you will find less in the GitLab.

So go ahead with better understanding.

See more
Jenkins logo

Jenkins

41.3K
34K
2.2K
An extendable open source continuous integration server
41.3K
34K
+ 1
2.2K
PROS OF JENKINS
  • 522
    Hosted internally
  • 465
    Free open source
  • 315
    Great to build, deploy or launch anything async
  • 243
    Tons of integrations
  • 210
    Rich set of plugins with good documentation
  • 109
    Has support for build pipelines
  • 72
    Open source and tons of integrations
  • 63
    Easy setup
  • 61
    It is open-source
  • 54
    Workflow plugin
  • 11
    Configuration as code
  • 10
    Very powerful tool
  • 9
    Many Plugins
  • 8
    Great flexibility
  • 8
    Git and Maven integration is better
  • 7
    Continuous Integration
  • 6
    Github integration
  • 6
    Slack Integration (plugin)
  • 5
    Easy customisation
  • 5
    100% free and open source
  • 5
    Self-hosted GitLab Integration (plugin)
  • 4
    Docker support
  • 3
    Excellent docker integration
  • 3
    Platform idnependency
  • 3
    Fast builds
  • 3
    Pipeline API
  • 2
    Customizable
  • 2
    Can be run as a Docker container
  • 2
    It`w worked
  • 2
    JOBDSL
  • 2
    Hosted Externally
  • 2
    It's Everywhere
  • 2
    AWS Integration
  • 1
    NodeJS Support
  • 1
    PHP Support
  • 1
    Ruby/Rails Support
  • 1
    Universal controller
  • 1
    Easily extendable with seamless integration
  • 1
    Build PR Branch Only
CONS OF JENKINS
  • 12
    Workarounds needed for basic requirements
  • 8
    Groovy with cumbersome syntax
  • 6
    Limited abilities with declarative pipelines
  • 6
    Plugins compatibility issues
  • 5
    Lack of support
  • 4
    No YAML syntax
  • 2
    Too tied to plugins versions

related Jenkins posts

Tymoteusz Paul
Devops guy at X20X Development LTD · | 23 upvotes · 4.5M 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
Thierry Schellenbach

Releasing new versions of our services is done by Travis CI. Travis first runs our test suite. Once it passes, it publishes a new release binary to GitHub.

Common tasks such as installing dependencies for the Go project, or building a binary are automated using plain old Makefiles. (We know, crazy old school, right?) Our binaries are compressed using UPX.

Travis has come a long way over the past years. I used to prefer Jenkins in some cases since it was easier to debug broken builds. With the addition of the aptly named “debug build” button, Travis is now the clear winner. It’s easy to use and free for open source, with no need to maintain anything.

#ContinuousIntegration #CodeCollaborationVersionControl

See more
Gogs logo

Gogs

154
248
182
A self-hosted Git service written in Go
154
248
+ 1
182
PROS OF GOGS
  • 36
    Self-hosted github like service
  • 31
    Very low memory footprint
  • 29
    Easy to install / update
  • 17
    Lightweight (low minimal req.) runs on Raspberry pi
  • 16
    Single binary deploy no dependencies
  • 14
    Open source
  • 12
    Cross platform (MacOS, Windows, Linux ...)
  • 11
    Wiki
  • 10
    Issue tracker
  • 3
    LDAP Support
  • 3
    Great UI
CONS OF GOGS
    Be the first to leave a con

    related Gogs posts

    Russtopia Labs
    Sr. Doodad Imagineer at Russtopia Labs · | 5 upvotes · 124.4K views
    Shared insights
    on
    Gogs
    GitHub
    Go
    GitLab

    I installed Gogs after a few repos I planned to use on GitHub disappeared without explanation, and after Microsoft's acquisition of same, it made me think about the over-centralization of community-developed software. A self-hosted solution that enables easy point-and-click mirroring of important repositories for my projects, both in-house and 3rd-party, ensures I won't be bitten by upstream catastrophes. (So far, Microsoft's stewardship has been fine, but always be prepared). It's also a very nice way to host one's own private repos before they're ready for prime-time on github.

    Gogs is written in Go and is easy to install and configure, IMHO much more so than GitLab, though it's of course less feature-rich; the only major feature I wish Gogs had is an integrated code review tool, but the web plugin hypothes.is https://stackshare.io/hypothes-is/hypothes-is is quite suitable as a code review tool. Set up a group for each code review, and just highlight lines to add comments in pull request pages of Gogs.

    See more
    Git logo

    Git

    128.4K
    103.9K
    6.6K
    Fast, scalable, distributed revision control system
    128.4K
    103.9K
    + 1
    6.6K
    PROS OF GIT
    • 1.4K
      Distributed version control system
    • 1.1K
      Efficient branching and merging
    • 964
      Fast
    • 846
      Open source
    • 728
      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
      Easy branching and merging
    • 3
      Github integration
    • 2
      Compatible
    • 2
      Possible to lose history and commits
    • 2
      Flexible
    • 1
      Easy
    • 1
      Rebase supported natively; reflog; access to plumbing
    • 1
      처리속도가 빨라요
    • 1
      Team Integration
    • 1
      리속도가 빨라요
    • 1
      Light
    • 1
      Fast, scalable, distributed revision control system
    • 1
      Ys
    • 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
    • 7
      Worst documentation ever possibly made
    • 5
      Awful merge handling
    • 3
      Unexistent preventive security flows
    • 3
      Rebase hell
    • 2
      When --force is disabled, cannot rebase
    • 2
      Ironically even die-hard supporters screw up badly

    related Git posts

    Simon Reymann
    Senior Fullstack Developer at QUANTUSflow Software GmbH · | 28 upvotes · 3M 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
    Ali Soueidan
    Creative Web Developer at Ali Soueidan · | 18 upvotes · 775.4K views

    Application and Data: Since my personal website ( https://alisoueidan.com ) is a SPA I've chosen to use Vue.js, as a framework to create it. After a short skeptical phase I immediately felt in love with the single file component concept! I also used vuex for state management, which makes working with several components, which are communicating with each other even more fun and convenient to use. Of course, using Vue requires using JavaScript as well, since it is the basis of it.

    For markup and style, I used Pug and Sass, since they’re the perfect match to me. I love the clean and strict syntax of both of them and even more that their structure is almost similar. Also, both of them come with an expanded functionality such as mixins, loops and so on related to their “siblings” (HTML and CSS). Both of them require nesting and prevent untidy code, which can be a huge advantage when working in teams. I used JSON to store data (since the data quantity on my website is moderate) – JSON works also good in combo with Pug, using for loops, based on the JSON Objects for example.

    To send my contact form I used PHP, since sending emails using PHP is still relatively convenient, simple and easy done.

    DevOps: Of course, I used Git to do my version management (which I even do in smaller projects like my website just have an additional backup of my code). On top of that I used GitHub since it now supports private repository for free accounts (which I am using for my own). I use Babel to use ES6 functionality such as arrow functions and so on, and still don’t losing cross browser compatibility.

    Side note: I used npm for package management. 🎉

    *Business Tools: * I use Asana to organize my project. This is a big advantage to me, even if I work alone, since “private” projects can get interrupted for some time. By using Asana I still know (even after month of not touching a project) what I’ve done, on which task I was at last working on and what still is to do. Working in Teams (for enterprise I’d take on Jira instead) of course Asana is a Tool which I really love to use as well. All the graphics on my website are SVG which I have created with Adobe Illustrator and adjusted within the SVG code or by using JavaScript or CSS (SASS).

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    Azure DevOps logo

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