Alternatives to AWS CodeCommit logo

Alternatives to AWS CodeCommit

GitHub, GitLab, Bitbucket, GitHub Enterprise, and SVN (Subversion) are the most popular alternatives and competitors to AWS CodeCommit.
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What is AWS CodeCommit and what are its top alternatives?

CodeCommit eliminates the need to operate your own source control system or worry about scaling its infrastructure. You can use CodeCommit to securely store anything from source code to binaries, and it works seamlessly with your existing Git tools.
AWS CodeCommit is a tool in the Code Collaboration & Version Control category of a tech stack.

Top Alternatives to AWS CodeCommit

  • 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. ...

  • 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 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. ...

  • SVN (Subversion)
    SVN (Subversion)

    Subversion exists to be universally recognized and adopted as an open-source, centralized version control system characterized by its reliability as a safe haven for valuable data; the simplicity of its model and usage; and its ability to support the needs of a wide variety of users and projects, from individuals to large-scale enterprise operations. ...

  • 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. ...

  • 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. ...

  • 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. ...

AWS CodeCommit alternatives & related posts

GitHub logo

GitHub

280.7K
244.9K
10.3K
Powerful collaboration, review, and code management for open source and private development projects
280.7K
244.9K
+ 1
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
  • 486
    Great community
  • 483
    Remote team collaboration
  • 451
    Great way to share
  • 442
    Pull request and features planning
  • 147
    Just works
  • 132
    Integrated in many tools
  • 121
    Free Public Repos
  • 116
    Github Gists
  • 112
    Github pages
  • 83
    Easy to find repos
  • 62
    Open source
  • 60
    It's free
  • 60
    Easy to find projects
  • 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
    It integrates directly with Hipchat
  • 8
    Fast
  • 8
    Beautiful user experience
  • 7
    Easy to discover new code libraries
  • 6
    Smooth integration
  • 6
    Cloud SCM
  • 6
    Nice API
  • 6
    Graphs
  • 6
    Integrations
  • 6
    It's awesome
  • 5
    Quick Onboarding
  • 5
    Reliable
  • 5
    Remarkable uptime
  • 5
    CI Integration
  • 5
    Hands down best online Git service available
  • 4
    Uses GIT
  • 4
    Version Control
  • 4
    Simple but powerful
  • 4
    Unlimited Public Repos at no cost
  • 4
    Free HTML hosting
  • 4
    Security options
  • 4
    Loved by developers
  • 4
    Easy to use and collaborate with others
  • 3
    Ci
  • 3
    IAM
  • 3
    Nice to use
  • 3
    Easy deployment via SSH
  • 2
    Easy to use
  • 2
    Leads the copycats
  • 2
    All in one development service
  • 2
    Free private repos
  • 2
    Free HTML hostings
  • 2
    Easy and efficient maintainance of the projects
  • 2
    Beautiful
  • 2
    Easy source control and everything is backed up
  • 2
    IAM integration
  • 2
    Very Easy to Use
  • 2
    Good tools support
  • 2
    Issues tracker
  • 2
    Never dethroned
  • 2
    Self Hosted
  • 1
    Dasf
  • 1
    Profound
CONS OF GITHUB
  • 54
    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
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

See more
GitLab logo

GitLab

60.9K
52.2K
2.5K
Open source self-hosted Git management software
60.9K
52.2K
+ 1
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 · 700K 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
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 · 949.1K 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 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 · 290.9K 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

See more
Eric Seibert
DevOps at Children's Hospital of Philadelphia · | 6 upvotes · 473.8K 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?

See more
SVN (Subversion) logo

SVN (Subversion)

796
624
43
Enterprise-class centralized version control for the masses
796
624
+ 1
43
PROS OF SVN (SUBVERSION)
  • 20
    Easy to use
  • 13
    Simple code versioning
  • 5
    User/Access Management
  • 3
    Complicated code versionioning by Subversion
  • 2
    Free
CONS OF SVN (SUBVERSION)
  • 7
    Branching and tagging use tons of disk space

related SVN (Subversion) posts

I use Visual Studio Code because at this time is a mature software and I can do practically everything using it.

  • It's free and open source: The project is hosted on GitHub and it’s free to download, fork, modify and contribute to the project.

  • Multi-platform: You can download binaries for different platforms, included Windows (x64), MacOS and Linux (.rpm and .deb packages)

  • LightWeight: It runs smoothly in different devices. It has an average memory and CPU usage. Starts almost immediately and it’s very stable.

  • Extended language support: Supports by default the majority of the most used languages and syntax like JavaScript, HTML, C#, Swift, Java, PHP, Python and others. Also, VS Code supports different file types associated to projects like .ini, .properties, XML and JSON files.

  • Integrated tools: Includes an integrated terminal, debugger, problem list and console output inspector. The project navigator sidebar is simple and powerful: you can manage your files and folders with ease. The command palette helps you find commands by text. The search widget has a powerful auto-complete feature to search and find your files.

  • Extensible and configurable: There are many extensions available for every language supported, including syntax highlighters, IntelliSense and code completion, and debuggers. There are also extension to manage application configuration and architecture like Docker and Jenkins.

  • Integrated with Git: You can visually manage your project repositories, pull, commit and push your changes, and easy conflict resolution.( there is support for SVN (Subversion) users by plugin)

See more
rishig
Head of Product at Zulip · | 8 upvotes · 191.1K views
Shared insights
on
GitGitSVN (Subversion)SVN (Subversion)
at

I use Git instead of SVN (Subversion) because it allows us to scale our development team. At any given time, the Zulip open source project has hundreds of open pull requests from tens of contributors, each in various stages of the pipeline. Git's workflow makes it very easy to context switch between different feature branches.

See more
Azure DevOps logo

Azure DevOps

2.7K
2.8K
248
Services for teams to share code, track work, and ship software
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2.8K
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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
    One 4 all
  • 6
    Cost free for Stakeholders
  • 6
    Project Mgmt Features
  • 5
    Crap
  • 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
    Many in devops disregard MS altogether
  • 4
    Capacity across cross functional teams not visibile
  • 4
    Not a requirements management tool
  • 4
    Half Baked
  • 3
    Jack of all trades, master of none
  • 3
    Poor Jenkins integration
  • 2
    Tedious for test plan/case creation

related Azure DevOps posts

Farzad Jalali
Senior Software Architect at BerryWorld · | 8 upvotes · 252.7K 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
Sr. Software developer · | 8 upvotes · 25.9K views
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
Jenkins logo

Jenkins

57.8K
49.3K
2.2K
An extendable open source continuous integration server
57.8K
49.3K
+ 1
2.2K
PROS OF JENKINS
  • 523
    Hosted internally
  • 469
    Free open source
  • 318
    Great to build, deploy or launch anything async
  • 243
    Tons of integrations
  • 211
    Rich set of plugins with good documentation
  • 111
    Has support for build pipelines
  • 68
    Easy setup
  • 66
    It is open-source
  • 53
    Workflow plugin
  • 13
    Configuration as code
  • 12
    Very powerful tool
  • 11
    Many Plugins
  • 10
    Continuous Integration
  • 10
    Great flexibility
  • 9
    Git and Maven integration is better
  • 8
    100% free and open source
  • 7
    Slack Integration (plugin)
  • 7
    Github integration
  • 6
    Self-hosted GitLab Integration (plugin)
  • 6
    Easy customisation
  • 5
    Pipeline API
  • 5
    Docker support
  • 4
    Fast builds
  • 4
    Hosted Externally
  • 4
    Excellent docker integration
  • 4
    Platform idnependency
  • 3
    AWS Integration
  • 3
    JOBDSL
  • 3
    It's Everywhere
  • 3
    Customizable
  • 3
    Can be run as a Docker container
  • 3
    It`w worked
  • 2
    Loose Coupling
  • 2
    NodeJS Support
  • 2
    Build PR Branch Only
  • 2
    Easily extendable with seamless integration
  • 2
    PHP Support
  • 2
    Ruby/Rails Support
  • 2
    Universal controller
CONS OF JENKINS
  • 13
    Workarounds needed for basic requirements
  • 10
    Groovy with cumbersome syntax
  • 8
    Plugins compatibility issues
  • 7
    Lack of support
  • 7
    Limited abilities with declarative pipelines
  • 5
    No YAML syntax
  • 4
    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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Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 9.7M views

Our whole DevOps stack consists of the following tools:

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

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

  • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
  • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
  • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
  • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
  • Scalability: All-in-one framework for distributed systems.
  • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
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Tymoteusz Paul
Devops guy at X20X Development LTD · | 23 upvotes · 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.

See more