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.
Read full review It works at scale and a large number of accessible pipelines for searching, repository updates and indexing will become easier. JFrog provides end-to-end solutions for all DevOps needs. With this, Jfrog Artifactory specifically implements the management of highly available repositories, with a smooth interface and integration with all the main CI tools on the market.
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 Artifactory Management acting as a repository manager of docker images, application and component dependencies Automate pipelines and thereby releasing changes faster Supports high availability and scalability with multi site replication 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 We can always use support for more different types of packages in Artifactory. We also would like to see the Artifactory X-Ray produce continue to mature. 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.
Read full review The main problem that seems intractable is getting the checksum of the artifact. Managing container artifacts is a game changer for us during project execution, as the container artifact type exposes all base image and Docker file steps. This makes debugging or analysis easier. Jfrog Artifactory provides promotion feature and can automated from one environment repo to another environment repo before the deployment occurs.
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.
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 Support tickets take days to respond. The most basic of questions that should be knocked out in a few hours don't get answers for days. Tickets are also closed without resolution.
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
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.
Read full review JFrog Artifactory has a much more friendly GUI, making package exploration less of a chore to do. Other than that, their features are pretty much comparable to each other. Both support multiple types of packages; both have API that can integrate well with CI/CD pipelines.
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 So many times it happens at the time of dependency resolution some of the servers are down e.g NPM, Maven central, PiPy in that cause our builds starts failing. By proxying these repositories with JFrog this is never happened again. It reduced the additional cost of container image registry and management effort. Support of integration with Build, Monitoring, and CI tools resulted in smooth automation and management. Read full review ScreenShots