What is Travis CI and what are its top alternatives?
Top Alternatives to Travis CI
- 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. ...
- 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. ...
- 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. ...
- 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. ...
- 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. ...
- Appveyor
AppVeyor aims to give powerful Continuous Integration and Deployment tools to every .NET developer without the hassle of setting up and maintaining their own build server. ...
- 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. ...
Travis CI alternatives & related posts
- Hosted internally523
- Free open source469
- Great to build, deploy or launch anything async318
- Tons of integrations243
- Rich set of plugins with good documentation211
- Has support for build pipelines111
- Easy setup68
- It is open-source66
- Workflow plugin53
- Configuration as code13
- Very powerful tool12
- Many Plugins11
- Continuous Integration10
- Great flexibility10
- Git and Maven integration is better9
- 100% free and open source8
- Github integration7
- Slack Integration (plugin)7
- Easy customisation6
- Self-hosted GitLab Integration (plugin)6
- Docker support5
- Pipeline API5
- Fast builds4
- Platform idnependency4
- Hosted Externally4
- Excellent docker integration4
- It`w worked3
- Customizable3
- Can be run as a Docker container3
- It's Everywhere3
- JOBDSL3
- AWS Integration3
- Easily extendable with seamless integration2
- PHP Support2
- Build PR Branch Only2
- NodeJS Support2
- Ruby/Rails Support2
- Universal controller2
- Loose Coupling2
- Workarounds needed for basic requirements13
- Groovy with cumbersome syntax10
- Plugins compatibility issues8
- Lack of support7
- Limited abilities with declarative pipelines7
- No YAML syntax5
- Too tied to plugins versions4
related Jenkins posts
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.
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
- Github integration226
- Easy setup177
- Fast builds153
- Competitively priced94
- Slack integration74
- Docker support55
- Awesome UI45
- Great customer support33
- Ios support18
- Hipchat integration14
- SSH debug access13
- Free for Open Source11
- Mobile support6
- Nodejs support5
- Bitbucket integration5
- YAML configuration5
- AWS CodeDeploy integration4
- Free for Github private repo3
- Great support3
- Clojurescript2
- Continuous Deployment2
- Parallelism2
- Clojure2
- OSX support2
- Simple, clean UI2
- Unstable1
- Ci1
- Favorite1
- Helpful documentation1
- Autoscaling1
- Extremely configurable1
- Works1
- Android support1
- Fair pricing1
- All inclusive testing1
- Japanese in rspec comment appears OK1
- Build PR Branch Only1
- So circular1
- Easy setup, easy to understand, fast and reliable1
- Parallel builds for slow test suites1
- Easy setup. 2.0 is fast!1
- Easy to deploy to private servers1
- Really easy to use1
- Stable0
- Unstable12
- Scammy pricing structure6
- Aggressive Github permissions0
related CircleCI posts
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
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.
- Robust CI with awesome Docker support22
- Simple configuration13
- All in one solution9
- Source Control and CI in one place7
- Integrated with VCS on commit5
- Free and open source5
- Easy to configure own build server i.e. GitLab-Runner5
- Hosted internally2
- Built-in Docker Registry1
- Built-in support of Review Apps1
- Pipeline could be started manually1
- Enable or disable pipeline by using env variables1
- Gitlab templates could be shared across logical group1
- Easy to setup the dedicated runner to particular job1
- Built-in support of Kubernetes1
- Works best with GitLab repositories2
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
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.
- Self hosted508
- Free431
- Has community edition339
- Easy setup242
- Familiar interface240
- Includes many features, including ci137
- Nice UI113
- Good integration with gitlabci84
- Simple setup57
- Has an official mobile app35
- Free private repository34
- Continuous Integration31
- Open source, great ui (like github)23
- Slack Integration18
- Full CI flow15
- Free and unlimited private git repos11
- All in one (Git, CI, Agile..)10
- User, group, and project access management is simple10
- Intuitive UI8
- Built-in CI8
- Full DevOps suite with Git6
- Both public and private Repositories6
- Integrated Docker Registry5
- So easy to use5
- CI5
- Build/pipeline definition alongside code5
- It's powerful source code management tool5
- Dockerized4
- It's fully integrated4
- On-premises4
- Security and Stable4
- Unlimited free repos & collaborators4
- Not Microsoft Owned4
- Excellent4
- Issue system4
- Mattermost Chat client4
- Great for team collaboration3
- Free private repos3
- Because is the best remote host for git repositories3
- Built-in Docker Registry3
- Opensource3
- Low maintenance cost due omnibus-deployment3
- I like the its runners and executors feature3
- Beautiful2
- Groups of groups2
- Multilingual interface2
- Powerful software planning and maintaining tools2
- Review Apps feature2
- Kubernetes integration with GitLab CI2
- One-click install through DigitalOcean2
- Powerful Continuous Integration System2
- It includes everything I need, all packaged with docker2
- The dashboard with deployed environments2
- HipChat intergration2
- Many private repo2
- Kubernetes Integration2
- Published IP list for whitelisting (gl-infra#434)2
- Wounderful2
- Native CI2
- Supports Radius/Ldap & Browser Code Edits1
- Slow ui performance28
- Introduce breaking bugs every release9
- Insecure (no published IP list for whitelisting)6
- Built-in Docker Registry2
- Review Apps feature1
related GitLab posts
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.
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.
- Integrates with other Atlassian tools10
- Great notification scheme4
- Great UI2
- Has Deployment Projects1
- Expensive6
- Low community support1
- Bad UI1
- Bad integration with docker1
related Bamboo posts
I am choosing a DevOps toolset for my team. GitLab is open source and quite cloud-native. Jenkins has a very popular environment system but old-style technicals. Bamboo is very nice but integrated only with Atlassian products.
Need for CI/CD as part of data testing team.
Please suggest.
Currently, Bamboo is most commonly used in the company while GitLab is rated highly by the internal team.
- Easy to configure61
- Reliable and high-quality37
- User friendly32
- On premise32
- Github integration32
- Great UI18
- Smart16
- Free for open source12
- Can run jobs in parallel12
- Crossplatform8
- Chain dependencies5
- Fully-functional out of the box5
- Great support by jetbrains4
- REST API4
- Projects hierarchy4
- 100+ plugins4
- Personal notifications3
- Free for small teams3
- Build templates3
- Per-project permissions3
- Upload build artifacts2
- Smart build failure analysis and tracking2
- Ide plugins2
- GitLab integration2
- Artifact dependencies2
- Official reliable support2
- Build progress messages promoting from running process2
- Repository-stored, full settings dsl with ide support1
- Built-in artifacts repository1
- Powerful build chains / pipelines1
- TeamCity Professional is FREE1
- High-Availability0
- Hosted internally0
- High costs for more than three build agents3
- Proprietary2
- User-friendly2
- User friendly2
related TeamCity posts
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.
@producthunt LambdaTest Selenium JavaScript Java Python PHP Cucumber TeamCity CircleCI With this new release of LambdaTest automation, you can run tests across an Online Selenium Grid of 2000+ browsers and OS combinations to perform cross browser testing. This saves you from the pain of maintaining the infrastructure and also saves you the licensing costs for browsers and operating systems. #testing #Seleniumgrid #Selenium #testautomation #automation #webdriver #producthunt hunted
- Github integration20
- Simple, reliable & powerful18
- Hosted12
- YML-based configuration11
- Nuget support10
- Windows support6
- Free for open source4
- Automatic deployment4
- Great product, responsive people, free for open-source3
- Easy PowerShell support2
- Easy handling of secret keys2
- Remote Desktop into Build Worker1
- Advanced build workers available1
- Complex user interface1
- Poor documentation1
related Appveyor posts
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.
- Simple deployments215
- Easy setup179
- Github integration159
- Continuous deployment147
- Bitbucket integration110
- Easy ui97
- Slack integration84
- Fast builds66
- Great ui61
- Great customer support61
- SSH debug access28
- Free plan for 5 private repositories27
- Easy to get started27
- Competitively priced23
- Notifications20
- Hipchat, Campfire integrations20
- Awesome UI16
- Fast15
- Great documentation14
- Great experience13
- Free for open source12
- Great Tutorials10
- GitLab integration4
- Free4
- Easy to use, above all and its free for basic use4
- Easy for CI first timers3
- BitBucket Support3
- Very easy to get started3
- Build private Github repos on the free plan3
- Awesome3
- Super easy setup, works great with py.test/tox2
- Openshift integration2
- Great support, even on free tier2
- AppEngine integration2
- Easy debugging with ssh2
- Integrates with other free software2
- Superfast team work integration2
- Grepping Codeship = 1 day. Grepping Bamboo = 1 month2
- Easy to set up, very nice GitHub integration2
- Up and running in few minutes, and above all UI2
- Ui could use some polishing3
- Antiquated ui0
- Difficult to answer build questions0
related Codeship posts
We are using GitLab CI and were very happy with it. The integration of all tools like CI/CD, tickets, etc makes it very easy to stay on top of things. But be aware, Gitlab currently does not have iOS build support. So if you want to exchange that for CircleCI / Codeship to have to invest some effort. We are using a managed Mac OS device and installed the Gitlab runner there, to have iOS builds.