Alternatives to GitHub Actions logo

Alternatives to GitHub Actions

CircleCI, Jenkins, Azure Pipelines, GitLab CI, and GitLab are the most popular alternatives and competitors to GitHub Actions.
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What is GitHub Actions and what are its top alternatives?

GitHub Actions is a robust continuous integration and continuous deployment tool that allows developers to automate workflows directly in their GitHub repositories. Some key features of GitHub Actions include custom workflows, CI/CD integration, endless possibilities for automation, and a vast marketplace of pre-built actions. However, some limitations of GitHub Actions include potential complexity in setting up workflows, limited free minutes for CI/CD, and dependency on GitHub as a platform.

  1. GitLab CI/CD: GitLab CI/CD is a part of GitLab's DevOps platform and offers powerful CI/CD capabilities. Key features include pipeline automation, integration with GitLab repositories, and built-in container registry. Pros include seamless integration with GitLab, flexible pipeline configurations, and built-in code quality tools. Cons may include a steeper learning curve compared to GitHub Actions.

  2. CircleCI: CircleCI is a cloud-based CI/CD tool that enables automating the software development process. Key features include parallel workflows, customizable pipelines, and extensive third-party integrations. Pros of CircleCI include fast build times, scalable infrastructure, and intuitive configuration. Cons may include pricing for additional concurrent builds and less intuitive UI compared to GitHub Actions.

  3. Jenkins: Jenkins is a widely used open-source automation server that can be used for building, testing, and deploying software. Key features of Jenkins include extensibility through plugins, robust pipeline support, and wide community support. Pros of Jenkins include flexibility in setting up pipelines, extensive plugin ecosystem, and open-source nature. Cons may include a complex setup for beginners and a less user-friendly interface compared to GitHub Actions.

  4. Travis CI: Travis CI is a popular CI/CD service that integrates with GitHub repositories to automate building and testing projects. Key features include easy setup, support for multiple programming languages, and parallel test runs. Pros of Travis CI include seamless integration with GitHub, free tier for open source projects, and straightforward configuration. Cons may include limited build minutes on the free plan and potential dependency on third-party services.

  5. Bitbucket Pipelines: Bitbucket Pipelines is a CI/CD tool integrated within Atlassian's Bitbucket repository management platform. Key features include automatic builds, custom pipelines, and integration with Bitbucket repositories. Pros of Bitbucket Pipelines include seamless integration with Bitbucket, simple setup process, and a single platform for code hosting and CI/CD. Cons may include limited third-party integrations compared to GitHub Actions.

  6. Azure Pipelines: Azure Pipelines is a CI/CD service provided by Microsoft Azure for building, testing, and deploying applications. Key features include multi-platform support, integration with Azure DevOps, and unlimited build minutes for open source projects. Pros of Azure Pipelines include strong integration with Azure services, support for diverse technologies, and free tier for open source projects. Cons may include a potentially higher learning curve for beginners and dependency on Azure as a cloud platform.

  7. Bamboo: Bamboo is a CI/CD tool offered by Atlassian for building and releasing software. Key features include build agents for scalability, deployment projects, and integration with Bitbucket and Jira. Pros of Bamboo include seamless integration with Atlassian products, scalable infrastructure for builds, and flexibility in configuring pipelines. Cons may include a higher cost compared to GitHub Actions and potential complexity in setting up projects.

  8. TeamCity: TeamCity is a CI/CD server developed by JetBrains for automating the build, test, and deployment processes. Key features include build configurations, build chains, and extensive plugin support. Pros of TeamCity include powerful build configuration options, extensive plugin ecosystem, and easy integration with JetBrains IDEs. Cons may include a potentially higher cost for larger projects and a steeper learning curve for beginners.

  9. Buildkite: Buildkite is a CI/CD tool that allows users to run fast, secure, and scalable pipelines on their own infrastructure. Key features include build agents, pipeline visualizations, and customizable pipeline execution. Pros of Buildkite include self-hosted infrastructure control, fast build times, and intuitive pipeline configuration. Cons may include more initial setup required compared to cloud-based solutions like GitHub Actions.

  10. Drone: Drone is an open-source CI/CD tool that enables developers to automate building, testing, and deploying software. Key features include containers-based pipelines, scalable infrastructure, and native support for Docker. Pros of Drone include open-source nature, flexibility in defining pipelines, and seamless container support. Cons may include potentially lower community support compared to more established tools like GitHub Actions.

Top Alternatives to GitHub Actions

  • CircleCI
    CircleCI

    Continuous integration and delivery platform helps software teams rapidly release code with confidence by automating the build, test, and deploy process. Offers a modern software development platform that lets teams ramp. ...

  • 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. ...

  • Azure Pipelines
    Azure Pipelines

    Fast builds with parallel jobs and test execution. Use container jobs to create consistent and reliable builds with the exact tools you need. Create new containers with ease and push them to any registry. ...

  • GitLab CI
    GitLab CI

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

  • GitLab
    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. ...

  • Buildkite
    Buildkite

    CI and build automation tool that combines the power of your own build infrastructure with the convenience of a managed, centralized web UI. Used by Shopify, Basecamp, Digital Ocean, Venmo, Cochlear, Bugsnag and more. ...

  • JavaScript
    JavaScript

    JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles. ...

  • Git
    Git

    Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency. ...

GitHub Actions alternatives & related posts

CircleCI logo

CircleCI

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Automate your development process quickly, safely, and at scale
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PROS OF CIRCLECI
  • 226
    Github integration
  • 177
    Easy setup
  • 153
    Fast builds
  • 94
    Competitively priced
  • 74
    Slack integration
  • 55
    Docker support
  • 45
    Awesome UI
  • 33
    Great customer support
  • 18
    Ios support
  • 14
    Hipchat integration
  • 13
    SSH debug access
  • 11
    Free for Open Source
  • 6
    Mobile support
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    Nodejs support
  • 5
    Bitbucket integration
  • 5
    YAML configuration
  • 4
    AWS CodeDeploy integration
  • 3
    Free for Github private repo
  • 3
    Great support
  • 2
    Clojurescript
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    Continuous Deployment
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    Parallelism
  • 2
    Clojure
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    OSX support
  • 2
    Simple, clean UI
  • 1
    Unstable
  • 1
    Ci
  • 1
    Favorite
  • 1
    Helpful documentation
  • 1
    Autoscaling
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    Extremely configurable
  • 1
    Works
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    Android support
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    Fair pricing
  • 1
    All inclusive testing
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    Japanese in rspec comment appears OK
  • 1
    Build PR Branch Only
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    So circular
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    Easy setup, easy to understand, fast and reliable
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    Parallel builds for slow test suites
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    Easy setup. 2.0 is fast!
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    Easy to deploy to private servers
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    Really easy to use
  • 0
    Stable
CONS OF CIRCLECI
  • 12
    Unstable
  • 6
    Scammy pricing structure
  • 0
    Aggressive Github permissions

related CircleCI posts

Russel Werner
Lead Engineer at StackShare · | 32 upvotes · 2.6M 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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Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 9.9M 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
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
  • 469
    Free open source
  • 318
    Great to build, deploy or launch anything async
  • 243
    Tons of integrations
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    Rich set of plugins with good documentation
  • 111
    Has support for build pipelines
  • 68
    Easy setup
  • 66
    It is open-source
  • 53
    Workflow plugin
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    Configuration as code
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    Very powerful tool
  • 11
    Many Plugins
  • 10
    Continuous Integration
  • 10
    Great flexibility
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    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
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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
  • 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 · 8.9M 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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Azure Pipelines logo

Azure Pipelines

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Continuously build, test, and deploy to any platform and cloud
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PROS OF AZURE PIPELINES
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    Easy to get started
  • 3
    Unlimited CI/CD minutes
  • 3
    Built by Microsoft
  • 2
    Yaml support
  • 2
    Docker support
CONS OF AZURE PIPELINES
    Be the first to leave a con

    related Azure Pipelines posts

    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

    See more

    Kindly suggest the best tool for generating 10Mn+ concurrent user load. The tool must support MQTT traffic, REST API, support to interfaces such as Kafka, websockets, persistence HTTP connection, auth type support to assess the support /coverage.

    The tool can be integrated into CI pipelines like Azure Pipelines, GitHub, and Jenkins.

    See more
    GitLab CI logo

    GitLab CI

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    GitLab integrated CI to test, build and deploy your code
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    PROS OF GITLAB CI
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      Robust CI with awesome Docker support
    • 13
      Simple configuration
    • 9
      All in one solution
    • 7
      Source Control and CI in one place
    • 5
      Integrated with VCS on commit
    • 5
      Free and open source
    • 5
      Easy to configure own build server i.e. GitLab-Runner
    • 2
      Hosted internally
    • 1
      Built-in Docker Registry
    • 1
      Built-in support of Review Apps
    • 1
      Pipeline could be started manually
    • 1
      Enable or disable pipeline by using env variables
    • 1
      Gitlab templates could be shared across logical group
    • 1
      Easy to setup the dedicated runner to particular job
    • 1
      Built-in support of Kubernetes
    CONS OF GITLAB CI
    • 2
      Works best with GitLab repositories

    related GitLab CI posts

    I have got a small radio service running on Node.js. Front end is written with React and packed with Webpack . I use Docker for my #DeploymentWorkflow along with Docker Swarm and GitLab CI on a single Google Compute Engine instance, which is also a runner itself. Pretty unscalable decision but it works great for tiny projects. The project is available on https://fridgefm.com

    See more
    Joshua Dean Küpper
    CEO at Scrayos UG (haftungsbeschränkt) · | 20 upvotes · 702.9K 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
    GitLab logo

    GitLab

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    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 · 702.9K 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
    Buildkite logo

    Buildkite

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    Fast, secure and scalable CI/CD for all your software projects
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    PROS OF BUILDKITE
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      Great customer support
    • 17
      Github integration
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      Easy to use
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      Easy setup
    • 12
      Simplicity
    • 10
      Simple deployments
    • 9
      Simple and powerful configuration
    • 4
      Bitbucket integration
    • 3
      Github enterprise integration
    • 3
      Amazing swag
    • 2
      Integrates with everything
    • 1
      Sourcecode is hosted by source code owner.
    • 1
      Configuration in cloud
    • 1
      Run your own test containers with their AWS stack file
    • 1
      Superior user experience
    • 1
      Great ui
    CONS OF BUILDKITE
      Be the first to leave a con

      related Buildkite posts

      Seth Ammons
      Principal Software Developer at SendGrid · | 18 upvotes · 45.1K views

      When we've gone through code reviews (every code and config change goes through a code review) and feel good about the level of automated testing (no one can sign off on their own code's functionality; a quality assurance engineer or other developer has to verify functionality), we merge our changes via a bot that interacts with GitHub (the bot maintains our versions and change logs). After Buildkite has a green build and our binary is shipped to our repo servers, we are good to roll out deploys to our data centers and to keep pushing the needle on the performance of our system.

      #Languages #DataStores #Databases #InMemoryDatabases

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      JavaScript logo

      JavaScript

      354.2K
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      8.1K
      Lightweight, interpreted, object-oriented language with first-class functions
      354.2K
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      PROS OF JAVASCRIPT
      • 1.7K
        Can be used on frontend/backend
      • 1.5K
        It's everywhere
      • 1.2K
        Lots of great frameworks
      • 897
        Fast
      • 745
        Light weight
      • 425
        Flexible
      • 392
        You can't get a device today that doesn't run js
      • 286
        Non-blocking i/o
      • 237
        Ubiquitousness
      • 191
        Expressive
      • 55
        Extended functionality to web pages
      • 49
        Relatively easy language
      • 46
        Executed on the client side
      • 30
        Relatively fast to the end user
      • 25
        Pure Javascript
      • 21
        Functional programming
      • 15
        Async
      • 13
        Full-stack
      • 12
        Setup is easy
      • 12
        Future Language of The Web
      • 12
        Its everywhere
      • 11
        Because I love functions
      • 11
        JavaScript is the New PHP
      • 10
        Like it or not, JS is part of the web standard
      • 9
        Expansive community
      • 9
        Everyone use it
      • 9
        Can be used in backend, frontend and DB
      • 9
        Easy
      • 8
        Most Popular Language in the World
      • 8
        Powerful
      • 8
        Can be used both as frontend and backend as well
      • 8
        For the good parts
      • 8
        No need to use PHP
      • 8
        Easy to hire developers
      • 7
        Agile, packages simple to use
      • 7
        Love-hate relationship
      • 7
        Photoshop has 3 JS runtimes built in
      • 7
        Evolution of C
      • 7
        It's fun
      • 7
        Hard not to use
      • 7
        Versitile
      • 7
        Its fun and fast
      • 7
        Nice
      • 7
        Popularized Class-Less Architecture & Lambdas
      • 7
        Supports lambdas and closures
      • 6
        It let's me use Babel & Typescript
      • 6
        Can be used on frontend/backend/Mobile/create PRO Ui
      • 6
        1.6K Can be used on frontend/backend
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        Client side JS uses the visitors CPU to save Server Res
      • 6
        Easy to make something
      • 5
        Clojurescript
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        Promise relationship
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        Stockholm Syndrome
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        Function expressions are useful for callbacks
      • 5
        Scope manipulation
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        Everywhere
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        Client processing
      • 5
        What to add
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        Because it is so simple and lightweight
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        Only Programming language on browser
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        Test
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        Hard to learn
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        Test2
      • 1
        Not the best
      • 1
        Easy to understand
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        Subskill #4
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        Easy to learn
      • 0
        Hard 彤
      CONS OF JAVASCRIPT
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        A constant moving target, too much churn
      • 20
        Horribly inconsistent
      • 15
        Javascript is the New PHP
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        No ability to monitor memory utilitization
      • 8
        Shows Zero output in case of ANY error
      • 7
        Thinks strange results are better than errors
      • 6
        Can be ugly
      • 3
        No GitHub
      • 2
        Slow
      • 0
        HORRIBLE DOCUMENTS, faulty code, repo has bugs

      related JavaScript posts

      Zach Holman

      Oof. I have truly hated JavaScript for a long time. Like, for over twenty years now. Like, since the Clinton administration. It's always been a nightmare to deal with all of the aspects of that silly language.

      But wowza, things have changed. Tooling is just way, way better. I'm primarily web-oriented, and using React and Apollo together the past few years really opened my eyes to building rich apps. And I deeply apologize for using the phrase rich apps; I don't think I've ever said such Enterprisey words before.

      But yeah, things are different now. I still love Rails, and still use it for a lot of apps I build. But it's that silly rich apps phrase that's the problem. Users have way more comprehensive expectations than they did even five years ago, and the JS community does a good job at building tools and tech that tackle the problems of making heavy, complicated UI and frontend work.

      Obviously there's a lot of things happening here, so just saying "JavaScript isn't terrible" might encompass a huge amount of libraries and frameworks. But if you're like me, yeah, give things another shot- I'm somehow not hating on JavaScript anymore and... gulp... I kinda love it.

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      Conor Myhrvold
      Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 11.2M views

      How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

      Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

      Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

      https://eng.uber.com/distributed-tracing/

      (GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

      Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

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      Git logo

      Git

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      Fast, scalable, distributed revision control system
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        Fast
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        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
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        Frictionless Context Switching
      • 6
        Data Assurance
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        Efficient
      • 4
        Just awesome
      • 3
        Github integration
      • 3
        Easy branching and merging
      • 2
        Compatible
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        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
      • 7
        Worst documentation ever possibly made
      • 5
        Awful merge handling
      • 3
        Unexistent preventive security flows
      • 3
        Rebase hell
      • 2
        When --force is disabled, cannot rebase
      • 2
        Ironically even die-hard supporters screw up badly
      • 1
        Doesn't scale for big data

      related Git posts

      Simon Reymann
      Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 9.9M 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 · 8.9M 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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