Likelihood to Recommend
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.
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You are going to be able to find the most resources and examples using Docker whenever you are working with a container orchestration software like Kubernetes. There will always some entropy when you run in a container, a containerized application will never be as purely performant as an app running directly on the OS. However, in most scenarios this loss will be negligible to the time saved in deployment, monitoring, etc.
Read full review Pros It is reliable and works without errors It integrates well with our repository and all other AWS functions as well as our end database Read full review Packaging of application to limit the space occupied Ease of running the application Provide multiple ways to handle the application issues and integration of different components like pipeline, ansible, terraform etc Read full review Cons Ease of use - things like CircleCI or other tools are a bit easier to learn. Ability to build from more sources. Read full review Docker hub image retention policy can be relaxed Docker hub policies can be more developer friendly Docker CLI help section can be improved Image and container storage (local) management can be optimized Read full review Usability
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.
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Very easy to use, great tutorials, documentation and cheat sheets out there to help you become a Docker Wiz
Read full review Reliability and Availability
Haven't seen any outages, fatal/unrecoverable errors in my usage so far. Enough said.
Read full review Performance
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.
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Docker Desktop. The CPU high usage is a known issue. Needs fixing. Otherwise, it is great overall. Would not use anything else still.
Read full review Support Rating
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.
Read full review Alternatives Considered
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
, 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
is open source and not a native AWS service, that is its primary differentiator.
can also be used as a supplement to CodePipeline.
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The reason why we are still using Docker right now is due to that is the best among its peers and suits our needs the best. However, the trend we foresee for the future might indicate Amazon lambda could potentially fit our needs to code enviornmentless in the near future.
Read full review Scalability
It is the only tool in our toolset that has not [had] any issues so far. That is really a mark of reliability, and it's a testimony to how well the product is made, and a tool that does its job well is a tool well worth having. It is the base tool that I would say any organisation must have if they do scalable deployment.
Read full review Return on Investment 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. Read full review Reduces the number of virtual machine which impacted our quarterly billing Using docker with proxy we run multiple application on same port on same host. impact on billing is we have to provide docker training to the people who are working on it. Read full review ScreenShots