Alternatives to GitHub Enterprise logo

Alternatives to GitHub Enterprise

Bitbucket, GitHub, GitLab, Atlassian Stash, and Azure DevOps are the most popular alternatives and competitors to GitHub Enterprise.
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What is GitHub Enterprise and what are its top alternatives?

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.
GitHub Enterprise is a tool in the Code Collaboration & Version Control category of a tech stack.

Top Alternatives to GitHub Enterprise

  • 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. ...

  • 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. ...

  • 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. ...

  • Atlassian Stash
    Atlassian Stash

    It is a centralized solution to manage Git repositories behind the firewall. Streamlined for small agile teams, powerful enough for large organizations. ...

  • 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. ...

  • 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. ...

  • 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 ...

GitHub Enterprise alternatives & related posts

Bitbucket logo

Bitbucket

40.5K
2.8K
One place to plan projects, collaborate on code, test and deploy, all with free private repositories
40.5K
2.8K
PROS OF BITBUCKET
  • 905
    Free private repos
  • 397
    Simple setup
  • 349
    Nice ui and tools
  • 342
    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
    Source Code Insight
  • 7
    Compatible with Mac and Windows
  • 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
    Unlimited Private Repos at no cost
  • 3
    Also supports Mercurial
  • 3
    Continuous Integration and Delivery
  • 2
    Mercurial Support
  • 2
    Multilingual interface
  • 2
    Teamcity
  • 2
    Open source friendly
  • 2
    Issues tracker
  • 2
    IAM
  • 2
    Academic license program
  • 2
    IAM integration
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 · 956.6K 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
GitHubGitHubGitLabGitLabBitbucketBitbucket

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
GitHub logo

GitHub

285.9K
10.3K
Powerful collaboration, review, and code management for open source and private development projects
285.9K
10.3K
PROS OF GITHUB
  • 1.8K
    Open source friendly
  • 1.5K
    Easy source control
  • 1.3K
    Nice UI
  • 1.1K
    Great for team collaboration
  • 867
    Easy setup
  • 504
    Issue tracker
  • 487
    Great community
  • 483
    Remote team collaboration
  • 449
    Great way to share
  • 442
    Pull request and features planning
  • 147
    Just works
  • 132
    Integrated in many tools
  • 122
    Free Public Repos
  • 116
    Github Gists
  • 113
    Github pages
  • 83
    Easy to find repos
  • 62
    Open source
  • 60
    Easy to find projects
  • 60
    It's free
  • 56
    Network effect
  • 49
    Extensive API
  • 43
    Organizations
  • 42
    Branching
  • 34
    Developer Profiles
  • 32
    Git Powered Wikis
  • 30
    Great for collaboration
  • 24
    It's fun
  • 23
    Clean interface and good integrations
  • 22
    Community SDK involvement
  • 20
    Learn from others source code
  • 16
    Because: Git
  • 14
    It integrates directly with Azure
  • 10
    Standard in Open Source collab
  • 10
    Newsfeed
  • 8
    Fast
  • 8
    Beautiful user experience
  • 8
    It integrates directly with Hipchat
  • 7
    Easy to discover new code libraries
  • 6
    Smooth integration
  • 6
    Integrations
  • 6
    Graphs
  • 6
    Nice API
  • 6
    It's awesome
  • 6
    Cloud SCM
  • 5
    Quick Onboarding
  • 5
    Remarkable uptime
  • 5
    CI Integration
  • 5
    Reliable
  • 5
    Hands down best online Git service available
  • 4
    Version Control
  • 4
    Unlimited Public Repos at no cost
  • 4
    Simple but powerful
  • 4
    Loved by developers
  • 4
    Free HTML hosting
  • 4
    Uses GIT
  • 4
    Security options
  • 4
    Easy to use and collaborate with others
  • 3
    Easy deployment via SSH
  • 3
    Ci
  • 3
    IAM
  • 3
    Nice to use
  • 2
    Easy and efficient maintainance of the projects
  • 2
    Beautiful
  • 2
    Self Hosted
  • 2
    Issues tracker
  • 2
    Easy source control and everything is backed up
  • 2
    Never dethroned
  • 2
    All in one development service
  • 2
    Good tools support
  • 2
    Free HTML hostings
  • 2
    IAM integration
  • 2
    Very Easy to Use
  • 2
    Easy to use
  • 2
    Leads the copycats
  • 2
    Free private repos
  • 1
    Profound
  • 1
    Dasf
CONS OF GITHUB
  • 55
    Owned by micrcosoft
  • 38
    Expensive for lone developers that want private repos
  • 15
    Relatively slow product/feature release cadence
  • 10
    API scoping could be better
  • 9
    Only 3 collaborators for private repos
  • 4
    Limited featureset for issue management
  • 3
    Does not have a graph for showing history like git lens
  • 2
    GitHub Packages does not support SNAPSHOT versions
  • 1
    No multilingual interface
  • 1
    Takes a long time to commit
  • 1
    Expensive

related GitHub posts

Johnny Bell

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

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

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

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

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

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

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

See more

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

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

Check Out My Architecture: CLICK ME

Check out the GitHub repo attached

See more
GitLab logo

GitLab

61.9K
2.5K
Open source self-hosted Git management software
61.9K
2.5K
PROS OF GITLAB
  • 508
    Self hosted
  • 431
    Free
  • 339
    Has community edition
  • 242
    Easy setup
  • 240
    Familiar interface
  • 137
    Includes many features, including ci
  • 113
    Nice UI
  • 84
    Good integration with gitlabci
  • 57
    Simple setup
  • 35
    Has an official mobile app
  • 34
    Free private repository
  • 31
    Continuous Integration
  • 23
    Open source, great ui (like github)
  • 18
    Slack Integration
  • 15
    Full CI flow
  • 11
    Free and unlimited private git repos
  • 10
    All in one (Git, CI, Agile..)
  • 10
    User, group, and project access management is simple
  • 8
    Intuitive UI
  • 8
    Built-in CI
  • 6
    Full DevOps suite with Git
  • 6
    Both public and private Repositories
  • 5
    Integrated Docker Registry
  • 5
    So easy to use
  • 5
    CI
  • 5
    Build/pipeline definition alongside code
  • 5
    It's powerful source code management tool
  • 4
    Dockerized
  • 4
    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
Shared insights
on
GitHubGitHubGitLabGitLab
at

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.

See more
Joshua Dean Küpper
CEO at Scrayos UG (haftungsbeschränkt) · | 20 upvotes · 742.5K 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.

See more
Atlassian Stash logo

Atlassian Stash

78
0
Centralized solution to manage Git repositories
78
0
PROS OF ATLASSIAN STASH
    Be the first to leave a pro
    CONS OF ATLASSIAN STASH
      Be the first to leave a con

      related Atlassian Stash posts

      Azure DevOps logo

      Azure DevOps

      2.7K
      249
      Services for teams to share code, track work, and ship software
      2.7K
      249
      PROS OF AZURE DEVOPS
      • 56
        Complete and powerful
      • 32
        Huge extension ecosystem
      • 27
        Azure integration
      • 26
        Flexible and powerful
      • 26
        One Stop Shop For Build server, Project Mgt, CDCI
      • 15
        Everything I need. Simple and intuitive UI
      • 13
        Support Open Source
      • 8
        Integrations
      • 7
        GitHub Integration
      • 6
        Cost free for Stakeholders
      • 6
        One 4 all
      • 6
        Crap
      • 6
        Project Mgmt Features
      • 5
        Runs in the cloud
      • 3
        Agent On-Premise(Linux - Windows)
      • 2
        Aws integration
      • 2
        Link Test Cases to Stories
      • 2
        Jenkins Integration
      • 1
        GCP Integration
      CONS OF AZURE DEVOPS
      • 8
        Still dependant on C# for agents
      • 5
        Half Baked
      • 5
        Many in devops disregard MS altogether
      • 4
        Not a requirements management tool
      • 4
        Jack of all trades, master of none
      • 4
        Capacity across cross functional teams not visibile
      • 3
        Poor Jenkins integration
      • 2
        Tedious for test plan/case creation
      • 1
        Switching accounts is impossible

      related Azure DevOps posts

      Farzad Jalali
      Senior Software Architect at BerryWorld · | 8 upvotes · 431.9K views

      Visual Studio Azure DevOps Azure Functions Azure Websites #Azure #AzureKeyVault #AzureAD #AzureApps

      #Azure Cloud Since Amazon is potentially our competitor then we need a different cloud vendor, also our programmers are microsoft oriented so the choose were obviously #Azure for us.

      Azure DevOps Because we need to be able to develop a neww pipeline into Azure environment ina few minutes.

      Azure Kubernetes Service We already in #Azure , also need to use K8s , so let's use AKS as it's a manged Kubernetes in the #Azure

      See more
      Andrey Kurdyumov
      Shared insights
      on
      Azure DevOpsAzure DevOpsGitGit

      I use Azure DevOps because for me it gradually walk me from private Git repositories to simplest free option for CI/CD pipelines at the time. I spend 0$ initially to manager CI/CD for my small private projects. No need to go into two different places to setup integration, once I have git repository, I could deploy projects. Right now this is not the case since CI/CD is default for me, so I use it now from memories of old good days. I'm not yet need complexity on the projects, so I don't even consider other options with "more choices". I carefully limit my set of options during development, that's why Azure DevOps (VSTS)

      See more
      Git logo

      Git

      297.5K
      6.6K
      Fast, scalable, distributed revision control system
      297.5K
      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
      • 27
        Distributed
      • 22
        Small & Fast
      • 18
        Feature based workflow
      • 15
        Staging Area
      • 13
        Most wide-spread VSC
      • 11
        Role-based codelines
      • 11
        Disposable Experimentation
      • 7
        Frictionless Context Switching
      • 6
        Data Assurance
      • 5
        Efficient
      • 4
        Just awesome
      • 3
        Github integration
      • 3
        Easy branching and merging
      • 2
        Compatible
      • 2
        Flexible
      • 2
        Possible to lose history and commits
      • 1
        Rebase supported natively; reflog; access to plumbing
      • 1
        Light
      • 1
        Team Integration
      • 1
        Fast, scalable, distributed revision control system
      • 1
        Easy
      • 1
        Flexible, easy, Safe, and fast
      • 1
        CLI is great, but the GUI tools are awesome
      • 1
        It's what you do
      • 0
        Phinx
      CONS OF GIT
      • 16
        Hard to learn
      • 11
        Inconsistent command line interface
      • 9
        Easy to lose uncommitted work
      • 8
        Worst documentation ever possibly made
      • 5
        Awful merge handling
      • 3
        Unexistent preventive security flows
      • 3
        Rebase hell
      • 2
        Ironically even die-hard supporters screw up badly
      • 2
        When --force is disabled, cannot rebase
      • 1
        Doesn't scale for big data

      related Git posts

      Simon Reymann
      Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 11.2M 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 · 9.8M 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
      Visual Studio Code logo

      Visual Studio Code

      179.4K
      2.3K
      Build and debug modern web and cloud applications, by Microsoft
      179.4K
      2.3K
      PROS OF VISUAL STUDIO CODE
      • 340
        Powerful multilanguage IDE
      • 308
        Fast
      • 193
        Front-end develop out of the box
      • 158
        Support TypeScript IntelliSense
      • 142
        Very basic but free
      • 126
        Git integration
      • 106
        Intellisense
      • 78
        Faster than Atom
      • 53
        Better ui, easy plugins, and nice git integration
      • 45
        Great Refactoring Tools
      • 44
        Good Plugins
      • 42
        Terminal
      • 38
        Superb markdown support
      • 36
        Open Source
      • 35
        Extensions
      • 26
        Awesome UI
      • 26
        Large & up-to-date extension community
      • 24
        Powerful and fast
      • 22
        Portable
      • 18
        Best code editor
      • 18
        Best editor
      • 17
        Easy to get started with
      • 15
        Lots of extensions
      • 15
        Good for begginers
      • 15
        Crossplatform
      • 15
        Built on Electron
      • 14
        Extensions for everything
      • 14
        Open, cross-platform, fast, monthly updates
      • 14
        All Languages Support
      • 13
        Easy to use and learn
      • 12
        "fast, stable & easy to use"
      • 12
        Extensible
      • 11
        Ui design is great
      • 11
        Totally customizable
      • 11
        Git out of the box
      • 11
        Useful for begginer
      • 11
        Faster edit for slow computer
      • 10
        SSH support
      • 10
        Great community
      • 10
        Fast Startup
      • 9
        Works With Almost EveryThing You Need
      • 9
        Great language support
      • 9
        Powerful Debugger
      • 9
        It has terminal and there are lots of shortcuts in it
      • 8
        Can compile and run .py files
      • 8
        Python extension is fast
      • 7
        Features rich
      • 7
        Great document formater
      • 6
        He is not Michael
      • 6
        Extension Echosystem
      • 6
        She is not Rachel
      • 6
        Awesome multi cursor support
      • 5
        VSCode.pro Course makes it easy to learn
      • 5
        Language server client
      • 5
        SFTP Workspace
      • 5
        Very proffesional
      • 5
        Easy azure
      • 4
        Has better support and more extentions for debugging
      • 4
        Supports lots of operating systems
      • 4
        Excellent as git difftool and mergetool
      • 4
        Virtualenv integration
      • 3
        Better autocompletes than Atom
      • 3
        Has more than enough languages for any developer
      • 3
        'batteries included'
      • 3
        More tools to integrate with vs
      • 3
        Emmet preinstalled
      • 2
        VS Code Server: Browser version of VS Code
      • 2
        CMake support with autocomplete
      • 2
        Microsoft
      • 2
        Customizable
      • 2
        Light
      • 2
        Big extension marketplace
      • 2
        Fast and ruby is built right in
      • 1
        File:///C:/Users/ydemi/Downloads/yuksel_demirkaya_webpa
      CONS OF VISUAL STUDIO CODE
      • 46
        Slow startup
      • 29
        Resource hog at times
      • 20
        Poor refactoring
      • 13
        Poor UI Designer
      • 11
        Weak Ui design tools
      • 10
        Poor autocomplete
      • 8
        Super Slow
      • 8
        Huge cpu usage with few installed extension
      • 8
        Microsoft sends telemetry data
      • 7
        Poor in PHP
      • 6
        It's MicroSoft
      • 3
        Poor in Python
      • 3
        No Built in Browser Preview
      • 3
        No color Intergrator
      • 3
        Very basic for java development and buggy at times
      • 3
        No built in live Preview
      • 3
        Electron
      • 2
        Bad Plugin Architecture
      • 2
        Powered by Electron
      • 1
        Terminal does not identify path vars sometimes
      • 1
        Slow C++ Language Server

      related Visual Studio Code posts

      Yshay Yaacobi

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

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

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

      See more
      Simon Reymann
      Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 11.2M views

      Our whole DevOps stack consists of the following tools:

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

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

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

      Docker

      174.5K
      3.9K
      Enterprise Container Platform for High-Velocity Innovation.
      174.5K
      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
        Fast and Portable
      • 6
        Easy setup
      • 5
        Because its fun
      • 4
        Makes shipping to production very simple
      • 3
        It's dope
      • 3
        Highly useful
      • 2
        Does a nice job hogging memory
      • 2
        Open source and highly configurable
      • 2
        Simplicity, isolation, resource effective
      • 2
        MacOS support FAKE
      • 2
        Its cool
      • 2
        Docker hub for the FTW
      • 2
        HIgh Throughput
      • 2
        Very easy to setup integrate and build
      • 2
        Package the environment with the application
      • 2
        Super
      • 0
        Asdfd
      CONS OF DOCKER
      • 8
        New versions == broken features
      • 6
        Unreliable networking
      • 6
        Documentation not always in sync
      • 4
        Moves quickly
      • 3
        Not Secure

      related Docker posts

      Simon Reymann
      Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 11.2M 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 · 9.8M 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