AWS CodePipeline is a fully managed continuous delivery service that helps users automate release pipelines. CodePipeline automates the build, test, and deploy phases of the release process every time there is a code change, based on the release model a user defines.
$1
per active pipeline/per month
CloudBees Continuous Integration
Score 7.8 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…
I think AWS CodePipeline is a great tool for anyone wanted automated deployments in a multi-server/container AWS environment. AWS also offers services like Elastic Beanstalk that provide a more managed hosting & deployment experience. CodePipeline is a good middle ground with solid, built-in automation with enough customizability to not lock people into one deployment or architecture philosophy.
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.
Overall, I give AWS Codepipeline a 9 because it gets the job done and I can't complain much about the web interface as much of the action is taking place behind the scenes on the terminal locally or via Amazon's infrastructure anyway. It would be nicer to have a better flowing and visualizable web interface, however.
Our pipeline takes about 30 minutes to run through. Although this time depends on the applications you are using on either end, I feel that it is a reasonable time to make upgrades and updates to our system as it is not an every day push.
We didn't need a lot of support with AWS CodePipeline as it was pretty straightforward to configure and use, but where we ran into problems, the AWS community was able to help. AWS support agents were also helpful in resolving some of the minor issues we encountered, which we could not find a solution elsewhere.
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.
CodeCommit and CodeDeploy can be used with CodePipeline so it’s not really fair to stack them against each other as they can be quite the compliment. The same goes for Beanstalk, which is often used as a deployment target in relation to CodePipeline.
CodePipeline fulfills the CI/CD duty, where the other services do not focus on that specific function. They are supplements, not replacements. CodePipeline will detect the updated code and handle deploying it to the actual instance via Beanstalk.
Jenkins is open source and not a native AWS service, that is its primary differentiator. Jenkins can also be used as a supplement to CodePipeline.
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.
CodePipeline has reduced ongoing devops costs for my clients, especially around deployment & testing.
CodePipeline has sped up development workflow by making the deployment process automated off git pushes. Deployment takes very little coordination as the system will just trigger based on what is the latest commit in a branch.
CodePipeline offered a lot of out-of-the-box functionality that was much simpler to setup than a dedicated CI server. It allowed the deployment process to built and put into production with much less and effort and cost compared to rolling the functionality manually.
