Alternatives to Azure DevOps logo

Alternatives to Azure DevOps

Jenkins, GitHub, AWS CodePipeline, Jira, and Visual Studio are the most popular alternatives and competitors to Azure DevOps.
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What is Azure DevOps and what are its top alternatives?

Azure DevOps is a comprehensive set of development tools that cover the entire software development lifecycle. Its key features include version control, agile project management, continuous integration/continuous deployment (CI/CD), and collaboration tools. However, some limitations of Azure DevOps include the complexity of the user interface, the cost for large teams, and potential integration issues with certain third-party tools.

  1. GitHub Actions: GitHub Actions is a CI/CD service that allows you to automate your workflows directly from your GitHub repository. It offers seamless integration with GitHub and supports a wide range of platforms and languages. Pros include tight integration with GitHub and a large community for support, while the lack of out-of-the-box project management tools might be a limitation compared to Azure DevOps.

  2. Jenkins: Jenkins is an open-source automation server that can be used to automate all types of tasks related to building, testing, and delivering software. It has a vast library of plugins, enabling it to integrate with a wide variety of tools and technologies. Pros include its flexibility and extensibility, while the setup and maintenance might be more complex compared to Azure DevOps.

  3. GitLab: GitLab provides a complete DevOps platform delivered as a single application. It offers version control, CI/CD, project management, and more in a single interface. Pros include its all-in-one approach and strong support for containers and Kubernetes, while the interface may not be as user-friendly as Azure DevOps.

  4. Bitbucket: Bitbucket is a Git repository management solution that also offers features for continuous delivery. It integrates seamlessly with Jira for project management and has strong support for code collaboration. Pros include its tight integration with Jira and easy scalability, while it may lack some advanced CI/CD features compared to Azure DevOps.

  5. CircleCI: CircleCI is a cloud-based CI/CD platform that automates the build, test, and deployment processes of your projects. It supports multiple programming languages and integrates with popular version control systems. Pros include its fast build times and easy setup, while the pricing model may not be as competitive as Azure DevOps.

  6. Travis CI: Travis CI is a CI/CD platform that integrates with GitHub repositories to automatically build and test your code. It supports multiple programming languages and offers both cloud-hosted and self-hosted solutions. Pros include its seamless GitHub integration and strong community support, while it may lack some advanced features compared to Azure DevOps.

  7. TeamCity: TeamCity is a build management and CI server from JetBrains that supports multiple build runners, version control systems, and integration tools. It offers powerful build features and extensive customization options. Pros include its robust features and easy setup, while the licensing cost might be higher than Azure DevOps.

  8. Bamboo: Bamboo is a CI/CD tool from Atlassian that helps automate the build, test, and deployment processes of your software projects. It integrates seamlessly with Jira and Bitbucket for project management and version control. Pros include its tight integration with other Atlassian products and strong support for Docker, while the learning curve might be steeper compared to Azure DevOps.

  9. Buildkite: Buildkite is a CI/CD platform that allows you to run fast, secure, and scalable build pipelines. It offers powerful customization options and supports flexible execution environments. Pros include its speed and scalability, while the lack of built-in project management tools might be a limitation compared to Azure DevOps.

  10. Codeship: Codeship is a cloud-based CI/CD platform that enables you to automate your software development workflows. It offers support for multiple programming languages and integrates with popular version control systems. Pros include its simplicity and ease of use, while the pricing structure might be less flexible compared to Azure DevOps.

Top Alternatives to Azure DevOps

  • 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. ...

  • 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. ...

  • AWS CodePipeline
    AWS CodePipeline

    CodePipeline builds, tests, and deploys your code every time there is a code change, based on the release process models you define. ...

  • Jira
    Jira

    Jira's secret sauce is the way it simplifies the complexities of software development into manageable units of work. Jira comes out-of-the-box with everything agile teams need to ship value to customers faster. ...

  • Visual Studio
    Visual Studio

    Visual Studio is a suite of component-based software development tools and other technologies for building powerful, high-performance applications. ...

  • GitLab
    GitLab

    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. ...

  • GitHub Enterprise
    GitHub Enterprise

    GitHub Enterprise lets developers use the tools they love across the development process with support for popular IDEs, continuous integration tools, and hundreds of third party apps and services. ...

  • 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. ...

Azure DevOps alternatives & related posts

Jenkins logo

Jenkins

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An extendable open source continuous integration server
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PROS OF JENKINS
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    Hosted internally
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    Free open source
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    Great to build, deploy or launch anything async
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    Tons of integrations
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    Rich set of plugins with good documentation
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    Has support for build pipelines
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    Easy setup
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    It is open-source
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    Workflow plugin
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    Configuration as code
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    Very powerful tool
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    Many Plugins
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    Continuous Integration
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    Great flexibility
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    Git and Maven integration is better
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    100% free and open source
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    Slack Integration (plugin)
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    Github integration
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    Self-hosted GitLab Integration (plugin)
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    Easy customisation
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    Pipeline API
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    Docker support
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    Fast builds
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    Hosted Externally
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    Excellent docker integration
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    Platform idnependency
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    AWS Integration
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    JOBDSL
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    It's Everywhere
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    Customizable
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    Can be run as a Docker container
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    It`w worked
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    Loose Coupling
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    NodeJS Support
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    Build PR Branch Only
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    Easily extendable with seamless integration
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    PHP Support
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    Ruby/Rails Support
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    Universal controller
CONS OF JENKINS
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    Workarounds needed for basic requirements
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    Groovy with cumbersome syntax
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    Plugins compatibility issues
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    Lack of support
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    Limited abilities with declarative pipelines
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    No YAML syntax
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    Too tied to plugins versions

related Jenkins posts

Tymoteusz Paul
Devops guy at X20X Development LTD · | 23 upvotes · 8.7M views

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

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

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

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

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

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

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

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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

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GitHub logo

GitHub

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PROS OF GITHUB
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    Open source friendly
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    Easy source control
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    Nice UI
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    Great for team collaboration
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    Easy setup
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    Issue tracker
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    Great community
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    Remote team collaboration
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    Great way to share
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    Pull request and features planning
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    Just works
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    Integrated in many tools
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    Free Public Repos
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    Github Gists
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    Github pages
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    Easy to find repos
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    Open source
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    It's free
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    Easy to find projects
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    Network effect
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    Extensive API
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    Organizations
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    Branching
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    Developer Profiles
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    Git Powered Wikis
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    Great for collaboration
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    It's fun
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    Clean interface and good integrations
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    Community SDK involvement
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    Learn from others source code
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    Because: Git
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    It integrates directly with Azure
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    Standard in Open Source collab
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    Newsfeed
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    It integrates directly with Hipchat
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    Fast
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    Beautiful user experience
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    Easy to discover new code libraries
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    Smooth integration
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    Cloud SCM
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    Nice API
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    Graphs
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    Integrations
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    It's awesome
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    Quick Onboarding
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    Reliable
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    Remarkable uptime
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    CI Integration
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    Hands down best online Git service available
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    Uses GIT
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    Version Control
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    Simple but powerful
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    Unlimited Public Repos at no cost
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    Free HTML hosting
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    Security options
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    Loved by developers
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    Easy to use and collaborate with others
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    Ci
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    IAM
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    Nice to use
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    Easy deployment via SSH
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    Easy to use
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    Leads the copycats
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    All in one development service
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    Free private repos
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    Free HTML hostings
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    Easy and efficient maintainance of the projects
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    Beautiful
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    Easy source control and everything is backed up
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    IAM integration
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    Very Easy to Use
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    Good tools support
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    Issues tracker
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    Never dethroned
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    Self Hosted
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    Dasf
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    Profound
CONS OF GITHUB
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    Owned by micrcosoft
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    Expensive for lone developers that want private repos
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    Relatively slow product/feature release cadence
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    API scoping could be better
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    Only 3 collaborators for private repos
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    Limited featureset for issue management
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    Does not have a graph for showing history like git lens
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    GitHub Packages does not support SNAPSHOT versions
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    No multilingual interface
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    Takes a long time to commit
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    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.

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Russel Werner
Lead Engineer at StackShare · | 32 upvotes · 2.5M views

StackShare Feed is built entirely with React, Glamorous, and Apollo. One of our objectives with the public launch of the Feed was to enable a Server-side rendered (SSR) experience for our organic search traffic. When you visit the StackShare Feed, and you aren't logged in, you are delivered the Trending feed experience. We use an in-house Node.js rendering microservice to generate this HTML. This microservice needs to run and serve requests independent of our Rails web app. Up until recently, we had a mono-repo with our Rails and React code living happily together and all served from the same web process. In order to deploy our SSR app into a Heroku environment, we needed to split out our front-end application into a separate repo in GitHub. The driving factor in this decision was mostly due to limitations imposed by Heroku specifically with how processes can't communicate with each other. A new SSR app was created in Heroku and linked directly to the frontend repo so it stays in-sync with changes.

Related to this, we need a way to "deploy" our frontend changes to various server environments without building & releasing the entire Ruby application. We built a hybrid Amazon S3 Amazon CloudFront solution to host our Webpack bundles. A new CircleCI script builds the bundles and uploads them to S3. The final step in our rollout is to update some keys in Redis so our Rails app knows which bundles to serve. The result of these efforts were significant. Our frontend team now moves independently of our backend team, our build & release process takes only a few minutes, we are now using an edge CDN to serve JS assets, and we have pre-rendered React pages!

#StackDecisionsLaunch #SSR #Microservices #FrontEndRepoSplit

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AWS CodePipeline logo

AWS CodePipeline

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Continuous delivery service for fast and reliable application updates
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PROS OF AWS CODEPIPELINE
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    Simple to set up
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    Managed service
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    GitHub integration
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    Parallel Execution
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    Automatic deployment
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    Manual Steps Available
CONS OF AWS CODEPIPELINE
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    No project boards
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    No integration with "Power" 365 tools

related AWS CodePipeline posts

Khauth György
CTO at SalesAutopilot Kft. · | 12 upvotes · 550.5K views

I'm the CTO of a marketing automation SaaS. Because of the continuously increasing load we moved to the AWSCloud. We are using more and more features of AWS: Amazon CloudWatch, Amazon SNS, Amazon CloudFront, Amazon Route 53 and so on.

Our main Database is MySQL but for the hundreds of GB document data we use MongoDB more and more. We started to use Redis for cache and other time sensitive operations.

On the front-end we use jQuery UI + Smarty but now we refactor our app to use Vue.js with Vuetify. Because our app is relatively complex we need to use vuex as well.

On the development side we use GitHub as our main repo, Docker for local and server environment and Jenkins and AWS CodePipeline for Continuous Integration.

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Oliver Burn

We recently added new APIs to Jira to associate information about Builds and Deployments to Jira issues.

The new APIs were developed using a spec-first API approach for speed and sanity. The details of this approach are described in this blog post, and we relied on using Swagger and associated tools like Swagger UI.

A new service was created for managing the data. It provides a REST API for external use, and an internal API based on GraphQL. The service is built using Kotlin for increased developer productivity and happiness, and the Spring-Boot framework. PostgreSQL was chosen for the persistence layer, as we have non-trivial requirements that cannot be easily implemented on top of a key-value store.

The front-end has been built using React and querying the back-end service using an internal GraphQL API. We have plans of providing a public GraphQL API in the future.

New Jira Integrations: Bitbucket CircleCI AWS CodePipeline Octopus Deploy jFrog Azure Pipelines

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Jira logo

Jira

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The #1 software development tool used by agile teams to plan, track, and release great software.
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PROS OF JIRA
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    Powerful
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    Flexible
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    Easy separation of projects
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    Run in the cloud
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    Code integration
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    Easy to use
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    Run on your own
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    Great customization
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    Easy Workflow Configuration
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    REST API
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    Great Agile Management tool
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    Integrates with virtually everything
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    Confluence
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    Complicated
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    Sentry Issues Integration
CONS OF JIRA
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    Rather expensive
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    Large memory requirement
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    Slow
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    Cloud or Datacenter only

related Jira posts

Johnny Bell

So I am a huge fan of JIRA like #massive I used it for many many years, and really loved it, used it personally and at work. I would suggest every new workplace that I worked at to switch to JIRA instead of what I was using.

When I started at #StackShare we were using a Trello #Kanban board and I was so shocked at how easy the workflow was to follow, create new tasks and get tasks QA'd and deployed. What was so great about this was it didn't come with all the complexity of JIRA. Like setting up a project, user rules etc. You are able to hit the ground running with Trello and get tasks started right away without being overwhelmed with the complexity of options in JIRA

With a few TrelloPowerUps we were easily able to add GitHub integration and storyPoints to our cards and thats all we needed to get a really nice agile workflow going.

I'm not saying that JIRA is not useful, I can see larger companies being able to use the JIRA features and have the time to go through all the complex setup to get a really good workflow going. But for smaller #Startups that want to hit the ground running Trello for me is the way to go.

In saying that what I would love Trello to implement is to allow me to create custom fields. Right now we just have a Description field. So I am adding User Stories & How To Test in the Markdown of the Description if I could have these as custom fields then my #Agile workflow would be complete.

#StackDecisionsLaunch

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Jakub Olan
Node.js Software Engineer · | 17 upvotes · 390.1K views

Last time we shared there information about our decision about using YouTrack over Jira actually we found much better solution that our team have loved. Linear is a minimalistic issue tracker that integrates well with Sentry, GitHub, Slack and Figma which are our basic tools. I would like to recommend checking out Linear as a potential alternative to "heavy" issue trackers, maybe at enterprises that may not work but when we're a startup that works awesome!

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Visual Studio logo

Visual Studio

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State-of-the-art tools and services that you can use to create great apps for devices, the cloud, and everything...
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PROS OF VISUAL STUDIO
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    Intellisense, ui
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    Complete ide and debugger
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    Plug-ins
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    Integrated
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    Documentation
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    Fast
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    Node tools for visual studio (ntvs)
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    Free Community edition
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    Simple
  • 17
    Bug free
  • 8
    Made by Microsoft
  • 6
    Full free community version
  • 5
    JetBrains plugins (ReSharper etc.) work sufficiently OK
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    Productivity Power Tools
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    Vim mode
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    VIM integration
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    I develop UWP apps and Intellisense is super useful
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    Cross platform development
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    The Power and Easiness to Do anything in any.. language
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    Available for Mac and Windows
CONS OF VISUAL STUDIO
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    Bulky
  • 14
    Made by Microsoft
  • 6
    Sometimes you need to restart to finish an update
  • 3
    Too much size for disk
  • 3
    Only avalible on Windows

related Visual Studio posts

Shared insights
on
C#C#JavaJavaVisual StudioVisual Studio

I use C# because of the ease of designing user interfaces compared to Java. Using Visual Studio makes C# a breeze for prototyping and creating apps and I really appreciate how quickly I can turn an idea into reality. I was first introduced to C# in a special topics course and quickly started preferring it over Java. The similarities between the two made the switch easy while the added benefits C# offers made it very worth it.

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Andrey Kurdyumov

I use TypeScript because it greatly simplify my refactoring efforts. I regularly re-validate my assumption about application architecture, and strictness of types allow me write make changes safely using just Visual Studio tooling. Integration with existing JavaScript libraries very simple and fast. If I have no time, I could just use any type as output of JS module. When I have more time, I could just submit PR to DefinitelyTyped and it would be quickly accepted. Overall it gives less ambiguity for my code.

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GitLab logo

GitLab

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Open source self-hosted Git management software
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PROS OF GITLAB
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    Self hosted
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    Free
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    Has community edition
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    Easy setup
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    Familiar interface
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    Includes many features, including ci
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    Nice UI
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    Good integration with gitlabci
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    Simple setup
  • 35
    Has an official mobile app
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    Free private repository
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    Continuous Integration
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    Open source, great ui (like github)
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    Slack Integration
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    Full CI flow
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    Free and unlimited private git repos
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    All in one (Git, CI, Agile..)
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    User, group, and project access management is simple
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    Intuitive UI
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    Built-in CI
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    Full DevOps suite with Git
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    Both public and private Repositories
  • 5
    Integrated Docker Registry
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    So easy to use
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    CI
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    Build/pipeline definition alongside code
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    It's powerful source code management tool
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    Dockerized
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    It's fully integrated
  • 4
    On-premises
  • 4
    Security and Stable
  • 4
    Unlimited free repos & collaborators
  • 4
    Not Microsoft Owned
  • 4
    Excellent
  • 4
    Issue system
  • 4
    Mattermost Chat client
  • 3
    Great for team collaboration
  • 3
    Free private repos
  • 3
    Because is the best remote host for git repositories
  • 3
    Built-in Docker Registry
  • 3
    Opensource
  • 3
    Low maintenance cost due omnibus-deployment
  • 3
    I like the its runners and executors feature
  • 2
    Beautiful
  • 2
    Groups of groups
  • 2
    Multilingual interface
  • 2
    Powerful software planning and maintaining tools
  • 2
    Review Apps feature
  • 2
    Kubernetes integration with GitLab CI
  • 2
    One-click install through DigitalOcean
  • 2
    Powerful Continuous Integration System
  • 2
    It includes everything I need, all packaged with docker
  • 2
    The dashboard with deployed environments
  • 2
    HipChat intergration
  • 2
    Many private repo
  • 2
    Kubernetes Integration
  • 2
    Published IP list for whitelisting (gl-infra#434)
  • 2
    Wounderful
  • 2
    Native CI
  • 1
    Supports Radius/Ldap & Browser Code Edits
CONS OF GITLAB
  • 28
    Slow ui performance
  • 9
    Introduce breaking bugs every release
  • 6
    Insecure (no published IP list for whitelisting)
  • 2
    Built-in Docker Registry
  • 1
    Review Apps feature

related GitLab posts

Tim Abbott
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I have mixed feelings on GitHub as a product and our use of it for the Zulip open source project. On the one hand, I do feel that being on GitHub helps people discover Zulip, because we have enough stars (etc.) that we rank highly among projects on the platform. and there is a definite benefit for lowering barriers to contribution (which is important to us) that GitHub has such a dominant position in terms of what everyone has accounts with.

But even ignoring how one might feel about their new corporate owner (MicroSoft), in a lot of ways GitHub is a bad product for open source projects. Years after the "Dear GitHub" letter, there are still basic gaps in its issue tracker:

  • You can't give someone permission to label/categorize issues without full write access to a project (including ability to merge things to master, post releases, etc.).
  • You can't let anyone with a GitHub account self-assign issues to themselves.
  • Many more similar issues.

It's embarrassing, because I've talked to GitHub product managers at various open source events about these things for 3 years, and they always agree the thing is important, but then nothing ever improves in the Issues product. Maybe the new management at MicroSoft will fix their product management situation, but if not, I imagine we'll eventually do the migration to GitLab.

We have a custom bot project, http://github.com/zulip/zulipbot, to deal with some of these issues where possible, and every other large project we talk to does the same thing, more or less.

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Joshua Dean Küpper
CEO at Scrayos UG (haftungsbeschränkt) · | 20 upvotes · 699.6K views

We use GitLab CI because of the great native integration as a part of the GitLab framework and the linting-capabilities it offers. The visualization of complex pipelines and the embedding within the project overview made Gitlab CI even more convenient. We use it for all projects, all deployments and as a part of GitLab Pages.

While we initially used the Shell-executor, we quickly switched to the Docker-executor and use it exclusively now.

We formerly used Jenkins but preferred to handle everything within GitLab . Aside from the unification of our infrastructure another motivation was the "configuration-in-file"-approach, that Gitlab CI offered, while Jenkins support of this concept was very limited and users had to resort to using the webinterface. Since the file is included within the repository, it is also version controlled, which was a huge plus for us.

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GitHub Enterprise logo

GitHub Enterprise

508
622
10
The on-premises version of GitHub, which you can deploy and manage in your own, secure environment
508
622
+ 1
10
PROS OF GITHUB ENTERPRISE
  • 4
    Expensive - $$$
  • 2
    Code security
  • 2
    CDCI with Github Actions
  • 1
    Both Cloud and Enterprise Server Versions available
  • 1
    Draft Pull Request
  • 0
    User experience
CONS OF GITHUB ENTERPRISE
  • 2
    $$$

related GitHub Enterprise posts

Matanel Crown
Software Developer at BBT.live · | 7 upvotes · 289.5K views

Hi all,

I would like some information regarding the benefits an aspiring start-up company may have, while using GitHub Enterprise vs the regular GitHub package. On a separate issue, I'd like to understand whether GitLab may have some DevOps-related advantages GitHub does not.

Thank you in advance, Matt

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Eric Seibert
DevOps at Children's Hospital of Philadelphia · | 6 upvotes · 472K views

We are using a Bitbucket server, and due to migration efforts and new Atlassian community license changes, we need to move to a new self-hosted solution. The new data-center license for Atlassian, available in February, will be community provisioned (free). Along with that community license, other technologies will be coming with it (Crucible, Confluence, and Jira). Is there value in a paid-for license to get the GitHub Enterprise? Are the tools that come with it worth the cost?

I know it is about $20 per 10 seats, and we have about 300 users. Have other convertees to Microsoft's tools found it easy to do a migration? Is the toolset that much more beneficial to the free suite that one can get from Atlassian?

So far, free seems to be the winner, and the familiarization with Atlassian implementation and maintenance is understood. Going to GitHub, are there any distinct challenges to be found or any perks to be attained?

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Bitbucket logo

Bitbucket

40.1K
32.4K
2.8K
One place to plan projects, collaborate on code, test and deploy, all with free private repositories
40.1K
32.4K
+ 1
2.8K
PROS OF BITBUCKET
  • 904
    Free private repos
  • 397
    Simple setup
  • 348
    Nice ui and tools
  • 341
    Unlimited private repositories
  • 240
    Affordable git hosting
  • 123
    Integrates with many apis and services
  • 119
    Reliable uptime
  • 87
    Nice gui
  • 85
    Pull requests and code reviews
  • 58
    Very customisable
  • 16
    Mercurial repositories
  • 14
    SourceTree integration
  • 12
    JIRA integration
  • 10
    Track every commit to an issue in JIRA
  • 8
    Deployment hooks
  • 8
    Best free alternative to Github
  • 7
    Automatically share repositories with all your teammates
  • 7
    Compatible with Mac and Windows
  • 6
    Source Code Insight
  • 6
    Price
  • 5
    Login with Google
  • 5
    Create a wiki
  • 5
    Approve pull request button
  • 4
    Customizable pipelines
  • 4
    #2 Atlassian Product after JIRA
  • 3
    Also supports Mercurial
  • 3
    Unlimited Private Repos at no cost
  • 3
    Continuous Integration and Delivery
  • 2
    Academic license program
  • 2
    Multilingual interface
  • 2
    Teamcity
  • 2
    Open source friendly
  • 2
    Issues tracker
  • 2
    IAM
  • 2
    IAM integration
  • 2
    Mercurial Support
CONS OF BITBUCKET
  • 19
    Not much community activity
  • 17
    Difficult to review prs because of confusing ui
  • 15
    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 · 949K 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.

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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.

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