Jenkins聽vs聽TeamCity聽vs聽Travis CI

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Jenkins
Jenkins

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TeamCity
TeamCity

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+ 1
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Travis CI
Travis CI

4.7K
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What is 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.

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.

What is 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.
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What are some alternatives to Jenkins, TeamCity, and Travis CI?
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.
Bamboo
Focus on coding and count on Bamboo as your CI and build server! Create multi-stage build plans, set up triggers to start builds upon commits, and assign agents to your critical builds and deployments.
Apache Maven
Maven allows a project to build using its project object model (POM) and a set of plugins that are shared by all projects using Maven, providing a uniform build system. Once you familiarize yourself with how one Maven project builds you automatically know how all Maven projects build saving you immense amounts of time when trying to navigate many projects.
Puppet Labs
Puppet is an automated administrative engine for your Linux, Unix, and Windows systems and performs administrative tasks (such as adding users, installing packages, and updating server configurations) based on a centralized specification.
Ansible
Ansible is an IT automation tool. It can configure systems, deploy software, and orchestrate more advanced IT tasks such as continuous deployments or zero downtime rolling updates. Ansible鈥檚 goals are foremost those of simplicity and maximum ease of use.
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Decisions about Jenkins, TeamCity, and Travis CI
Jesus Dario Rivera Rubio
Jesus Dario Rivera Rubio
Telecomm Engineering at Netbeast | 10 upvotes 233.2K views
atNetbeastNetbeast
React Native
React Native
Android SDK
Android SDK
Objective-C
Objective-C
Travis CI
Travis CI
Bitrise
Bitrise
GitHub
GitHub
Firebase
Firebase
Amplitude
Amplitude
Intercom
Intercom
Mailjet
Mailjet
#SmartHome
#End2end

We are using React Native in #SmartHome to share the business logic between Android and iOS team and approach users with a unique brand experience. The drawback is that we require lots of native Android SDK and Objective-C modules, so a good part of the invested time is there. The gain for a app that relies less on native communication, sensors and OS tools should be even higher.

Also it helps us set different testing stages: we use Travis CI for the javascript (business logic), Bitrise to run build tests and @Detox for #end2end automated user tests.

We use a microservices structure on top of Zeit's @now that read from firebase. We use JWT auth to authenticate requests among services and from users, following GitHub philosophy of using the same infrastructure than its API consumers. Firebase is used mainly as a key-value store between services and as a backup database for users. We also use its authentication mechanisms.

You can be super locked-in if you also rely on it's analytics, but we use Amplitude for that, which offers us great insights. Intercom for communications with end-user and Mailjet for marketing.

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Tymoteusz Paul
Tymoteusz Paul
Devops guy at X20X Development LTD | 17 upvotes 575K 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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Joshua Dean K眉pper
Joshua Dean K眉pper
CEO at Scrayos UG (haftungsbeschr盲nkt) | 6 upvotes 64.3K views
atScrayos UG (haftungsbeschr盲nkt)Scrayos UG (haftungsbeschr盲nkt)
GitLab CI
GitLab CI
GitLab
GitLab
GitLab Pages
GitLab Pages
Jenkins
Jenkins

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

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

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

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CircleCI
CircleCI
Travis CI
Travis CI

I initially chose CircleCI for a personal project because I was not satisified with using Travis CI in the past. When it came time to develop my CI/CD config on Circle, I was pleasantly surprised with the fantastic documentation, invaluable collection of example configs and helpful support provided. The free tier they provide is quite robust for most small projects and the platform is updated frequently with nice features.

Areas where CircleCI could improve:

  • the UI is a bit slow (you can feel the local machine straining to load all the code) and it is not as intuitive as it could be
  • many UI elements receive updates and/or changes that are not always reflected in the current docs
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Travis CI
Travis CI
Appveyor
Appveyor
GitHub
GitHub

I recommend using Travis CI and/or Appveyor in all projects.

Projects using these tools have given me confidence to know that I don't cause any breaking changes. Travis CI and Appveyor have functionality to test components of a project across multiple installation projects to ensure that modifications don't break a project. These tools integrate easily with GitHub and are useful in open source projects that must review contributions from many different people.

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Sebastian G臋bski
Sebastian G臋bski
CTO at Shedul/Fresha | 4 upvotes 293.2K views
atFresha EngineeringFresha Engineering
CircleCI
CircleCI
Jenkins
Jenkins
Git
Git
GitHub
GitHub
New Relic
New Relic
AppSignal
AppSignal
Sentry
Sentry
Logentries
Logentries

Regarding Continuous Integration - we've started with something very easy to set up - CircleCI , but with time we're adding more & more complex pipelines - we use Jenkins to configure & run those. It's much more effort, but at some point we had to pay for the flexibility we expected. Our source code version control is Git (which probably doesn't require a rationale these days) and we keep repos in GitHub - since the very beginning & we never considered moving out. Our primary monitoring these days is in New Relic (Ruby & SPA apps) and AppSignal (Elixir apps) - we're considering unifying it in New Relic , but this will require some improvements in Elixir app observability. For error reporting we use Sentry (a very popular choice in this class) & we collect our distributed logs using Logentries (to avoid semi-manual handling here).

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Tim Abbott
Tim Abbott
Founder at Zulip | 13 upvotes 59.9K views
atZulipZulip
Travis CI
Travis CI
CircleCI
CircleCI

We actually started out on Travis CI, but we've migrated our main builds to CircleCI, and it's been a huge improvement.

The reason it's been a huge improvement is that Travis CI has a fundamentally bad design for their images, where they start with a standard base Linux image containing tons of packages (several versions of postgres, every programming language environment, etc). This is potentially nice for the "get builds for a small project running quickly" use case, but it's a total disaster for a larger project that needs a decent number of dependencies and cares about the performance and reliability of their build.

This issue is exacerbated by their networking infrastructure being unreliable; we usually saw over 1% of builds failing due to transient networking errors in Travis CI, even after we added retries to the most frequently failing operations like apt update or pip install. And they never install Ubuntu's point release updates to their images. So doing an apt update, apt install, or especially apt upgrade would take forever. We ended up writing code to actually uninstall many of their base packages and pin the versions of hundreds of others to get a semi-fast, semi-reliable build. It was infuriating.

The CircleCI v2.0 system has the right design for a CI system: we can customize the base image to start with any expensive-to-install packages we need for our build, and we can update that image if and when we want to. The end result is that when migrating, we were able to delete all the hacky optimizations mentioned above, while still ending up with a 50% faster build latency. And we've also had 5-10x fewer issues with networking-related flakes, which means one doesn't have to constantly check whether a build failure is actually due to an issue with the code under test or "just another networking flake".

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Jenkins
Jenkins

I'd recommend to go with Jenkins .

It allows a lot of flexibility and additional plugins that provide extra features, quite often not possible to find elsewhere unless you want to spend time on providing that by yourself.

One of key features are pipelines that allow to easily chain different jobs even across different repos / projects.

The only downside is you have to deploy it by yourself.

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Google Cloud Build
Google Cloud Build
CircleCI
CircleCI
Travis CI
Travis CI

I use Google Cloud Build because it's my first foray into the CICD world(loving it so far), and I wanted to work with something GCP native to avoid giving permissions to other SaaS tools like CircleCI and Travis CI.

I really like it because it's free for the first 120 minutes, and it's one of the few CICD tools that enterprises are open to using since it's contained within GCP.

One of the unique things is that it has the Kaniko cache, which speeds up builds by creating intermediate layers within the docker image vs. pushing the full thing from the start. Helpful when you're installing just a few additional dependencies.

Feel free to checkout an example: Cloudbuild Example

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Interest over time
Reviews of Jenkins, TeamCity, and Travis CI
Avatar of tschellenbach
CEO at Stream
Review ofTravis CITravis CI

In the past we used to run Jenkins. The build server always had weird issues and was a pain to maintain. Travis is a great solution for CI. Their Debug build features makes it trivial to figure out why your build broke. The integration with Github is also very slick. One thing they could improve is the documentation on the .travis.yaml format. All in all, great company and very responsive supports. Over here at getstream.io we're a fan. Keep up the good work guys!

How developers use Jenkins, TeamCity, and Travis CI
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 datapile
datapile uses Travis CITravis CI

Travis CI is our pillar for automated deployment, pull request testing, auto-merging (for non-mission-critical projects), and build testing per commit / release.

It is highly configurable, super cheap, and extremely robust (supports every language and configuration we've thrown at it).

Avatar of Kalibrr
Kalibrr uses JenkinsJenkins

All of our pull requests are automatically tested using Jenkins' integration with GitHub, and we provision and deploy our servers using Jenkins' interface. This is integrated with HipChat, immediately notifying us if anything goes wrong with a deployment.

Avatar of Wirkn Inc.
Wirkn Inc. uses JenkinsJenkins

Jenkins is our go-to devops automation tool. We use it for automated test builds, all the way up to server updates and deploys. It really helps maintain our homegrown continuous-integration suite. It even does our blue/green deploys.

Avatar of B霉i Thanh
B霉i Thanh uses JenkinsJenkins
  • Continuous Deploy
  • Dev stage: autodeploy by trigger push request from 'develop' branch of Gitlab
  • Staging and production stages: Build and rollback quicly with Ansistrano playbook
  • Sending messages of job results to Chatwork.
Avatar of P膿teris Caune
P膿teris Caune uses Travis CITravis CI

While we usually run tests before commits, Travis goes further and tests with different Python versions and different database backends. It works great, and, best of all, it is free for open source projects.

Avatar of AngeloR
AngeloR uses JenkinsJenkins

Currently serves as the location that our QA team builds various automated testing jobs.

At one point we were using it for builds, but we ended up migrating away from them to Code Pipelines.

Avatar of Trusted Shops GmbH
Trusted Shops GmbH uses JenkinsJenkins

We use Jenkins to schedule our Browser and API Based regression and acceptance tests on a regular bases. We use additionally to Jenkins GitlabCI for unit and component testing.

Avatar of Dieter Adriaenssens
Dieter Adriaenssens uses Travis CITravis CI

Travis CI builds and tests every commit. It's also used to deploy Buildtime Trend as a Service to Heroku and the Buildtime Trend Python library to the PyPi repository.

Avatar of Nate Ferrell
Nate Ferrell uses Travis CITravis CI

Travis CI is critical for Linux and macOS CI tests for the Powershell module. Travis runs the same tests we run in AppVeyor in parallel.

Avatar of Andrew Williams
Andrew Williams uses Travis CITravis CI

To ensure that what works locally will also work for someone else. Also used to send code coverage to codeintel

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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