CircleCI is a software delivery engine from the company of the same name in San Francisco, that helps teams ship software faster, offering their platform for Continuous Integration and Continuous Delivery (CI/CD). Ultimately, the solution helps to map every source of change for software teams, so they can accelerate innovation and growth.
$0
for up to 6,000 build minutes and up to 5 active users per month
CloudBees Continuous Integration
Score 7.9 out of 10
N/A
CloudBees Continuous Integration (formerly the CloudBees Jenkins Platform) is a continuous integration (CI) and continuous delivery (CD) solution that extends Jenkins. Developed for on-premise installations, CloudBees CI offers stable releases with monthly updates, as well as additional proprietary tools and enterprise features to enhance the manageability and security of Jenkins. CloudBees CI helps administrators manage growing installations due to ever-increasing teams, projects and jobs…
CircleCI is perfect for a CI/CD pipeline for an app using a standard build process. It'll take more work for a complex build process, but should still be up to the task unless you need a lot of integrations with other tools. If you have a big team and can spare someone to focus full time on just the CI/CD tools, maybe something like Jenkins is better, but if you're just looking to get your app built, tested, and delivered without a huge amount of effort, CircleCI is probably your preferred tool.
For all continuous integration features like multi branch pipeline, continuous build, and deployment execution, highly customizable groovy scripting, well integration with most of repositories like SVN, GIT, etc. are some of the exceptional features which helps devOps related tasks a treat to work everyday. With some minor changes in agent configuration and handling of their configuration on master instances would reduce a lot of issues. Also, cache of maven handling on agents needs to be improved (though not related to tool but the CI pipelines). But, since this is a very mature and performant tool, we expect some out of the box functionalities to handle all such scenarios. Overall, the tool works wonders because of its highly customizable features.
The "phases" their config file uses to separate out options seem very arbitrary and are not very helpful for organizing your config file
No way that I know of to configure which version of MongoDB you use. You have to write your own shell script to download and start MongoDB if you want a specific version.
It's pretty snappy, even with using workflows with multiple steps and different docker images. I've seen builds take a long time if it's really involved, but from what I can tell, it's still at least on par if not faster than other build tools.
Unless you have a reasonably large account, you're going to be mainly stuck reading their documentation. Which has improved somewhat over the years but is still extremely limited compared to a platform like Digital Ocean who invested in the documentation and a community to ensure it's kept up to date. If you can't find your answer there, you can be stuck.
Support seems very unreachable from my experience. They handle cases if developers are facing issues, support seems to be very limited. It's not like other tools in a market where every mail is being taken priority and responses are sent. We see a lack in this particular aspect when it comes to CloudBees Jenkins Platform.
Circle was the first CI with simple setup, great documentation, and tight integration with GitHub. Using Jenkins was too much maintenance and overhead, TeamCity was limited in how we could customize it and run concurrent builds, TravisCI was not available for private repos when we switched.
CloudBees Jenkins Support is on par with the other enterprise tools we're currently using. It has performed well enough that we've adopted the product and placed it in the critical path of our software delivery pipelines.
It has eased the burden of standardizing our testing and deployment, making onboarding new developers much faster, and having to fix deployment mistakes much less often.
It allows us to focus our process around the GitHub workflow, ignoring the details of whatever environment the thing we're working on is actually hosted in. This saves us time.