What is CloudBees?
Enables organizations to build, test and deploy applications to production, utilizing continuous delivery practices. They are focused solely on Jenkins as a tool for continuous delivery both on-premises and in the cloud.
CloudBees is a tool in the Platform as a Service category of a tech stack.
Who uses CloudBees?
3 companies reportedly use CloudBees in their tech stacks, including Netflix, online, and Infrastructure Team.
46 developers on StackShare have stated that they use CloudBees.
Docker, Jenkins, Amazon EC2, Kubernetes, and New Relic are some of the popular tools that integrate with CloudBees. Here's a list of all 22 tools that integrate with CloudBees.
Pros of CloudBees
Aug 19, 2020 at 6:16PM
Jun 3, 2020 at 1:15AM
- Hosted CI/CD as a Service
- Flexible and governed software delivery automation
- Starter Kit
- Jenkins Product Support
CloudBees Alternatives & Comparisons
What are some alternatives to CloudBees?
See all alternatives
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.
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.
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.
Azure DevOps provides unlimited private Git hosting, cloud build for continuous integration, agile planning, and release management for continuous delivery to the cloud and on-premises. Includes broad IDE support.
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.