GitHost CI聽vs聽TeamCity

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GitHost CI vs TeamCity: What are the differences?

GitHost CI: Painless GitLab CE & CI Hosting. We handle installing, updating, hosting, and backing up your own private and secure GitLab CE & CI instances in the cloud, starting at $7/month; TeamCity: TeamCity is an ultimate Continuous Integration tool for professionals. TeamCity is a user-friendly continuous integration (CI) server for professional developers, build engineers, and DevOps. It is trivial to setup and absolutely free for small teams and open source projects.

GitHost CI and TeamCity belong to "Continuous Integration" category of the tech stack.

Some of the features offered by GitHost CI are:

  • Create a Coordinator and link it to any GitLab CE install, whether GitLab Cloud, a GitHost instance, or your own private install.
  • eed extra build capacity? Move the slider and click update. Done. Instant runners to build all your CI jobs.
  • All GitHost instances run on SSD drives, giving you the fastest build times available.

On the other hand, TeamCity provides the following key features:

  • Automate code analyzing, compiling, and testing processes, with having instant feedback on build progress, problems, and test failures, all in a simple, intuitive web-interface
  • Simplified setup: create projects from just a VCS repository URL
  • Run multiple builds and tests under different configurations and platforms simultaneously
- No public GitHub repository available -
- No public GitHub repository available -

What is GitHost CI?

We handle installing, updating, hosting, and backing up your own private and secure GitLab CE & CI instances in the cloud, starting at $7/month.

What is TeamCity?

TeamCity is a user-friendly continuous integration (CI) server for professional developers, build engineers, and DevOps. It is trivial to setup and absolutely free for small teams and open source projects.
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        What are some alternatives to GitHost CI and TeamCity?
        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.
        Travis CI
        Free for open source projects, our CI environment provides multiple runtimes (e.g. Node.js or PHP versions), data stores and so on. Because of this, hosting your project on travis-ci.com means you can effortlessly test your library or applications against multiple runtimes and data stores without even having all of them installed locally.
        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.
        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.
        Codeship
        Codeship runs your automated tests and configured deployment when you push to your repository. It takes care of managing and scaling the infrastructure so that you are able to test and release more frequently and get faster feedback for building the product your users need.
        See all alternatives
        Decisions about GitHost CI and TeamCity
        Tymoteusz Paul
        Tymoteusz Paul
        Devops guy at X20X Development LTD | 17 upvotes 577.4K views
        Vagrant
        Vagrant
        VirtualBox
        VirtualBox
        Ansible
        Ansible
        Elasticsearch
        Elasticsearch
        Kibana
        Kibana
        Logstash
        Logstash
        TeamCity
        TeamCity
        Jenkins
        Jenkins
        Slack
        Slack
        Apache Maven
        Apache Maven
        Vault
        Vault
        Git
        Git
        Docker
        Docker
        CircleCI
        CircleCI
        LXC
        LXC
        Amazon EC2
        Amazon EC2

        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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        How developers use GitHost CI and TeamCity
        Avatar of DigitalPermits
        DigitalPermits uses TeamCityTeamCity

        TeamCity is our main continuous integration server. It starts creating builds and running tests based on commits that we make in our hosted bitbucket repositories. From there, we have a set of configuraitons that can deploy the built and tested artifacts (web app, batches, db, etc...) to a stage or production server. We still release manually, but we release often, and TeamCity has nice features to help us roll back when things don't work out as planned.

        Avatar of Stack Exchange
        Stack Exchange uses TeamCityTeamCity

        TeamCity builds then copies to each web tier via a powershell script. The steps for each server are:

        • Tell HAProxy to take the server out of rotation via a POST
        • Delay to let IIS finish current requests (~5 sec)
        • Stop the website (via the same PSSession for all the following)
        • Robocopy files
        • Start the website
        • Re-enable in HAProxy via another POST
        Avatar of Sascha Manns
        Sascha Manns uses TeamCityTeamCity

        I'm using a selfhosted TC as Referenceplatform, and use travis with another configuration.

        Avatar of Andrew King
        Andrew King uses TeamCityTeamCity

        Continuous integration for iOS apps.

        Avatar of One Legal
        One Legal uses TeamCityTeamCity

        Build system.

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