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 I'm not sure what scenario it would not be suitable for. I have it up all day, though I do use the mainframe emulator to go back to the old 'green screen'. We have tools that we must use there. There is very little I can't do on the workbench. I'm trying to get some of our new developers to use it, as when I'm using it and talking to them on the phone, they don't know what I'm talking about.
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 Extract/load data from one DB or table to another masking the data for testing. Compare extracts against each other to ensure good baselines. 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 use CA Librarian here, and the workbench doesn't play well with that. I can't view the library my source is in; I have to copy it to a PDS. I frequently make some copies of files on my own. I do each file at a time. The ability to create a macro to do all of them at once would be nice. Currently, I click the file and click 'copy to', then fill out the info for each file. 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 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 has been amazing compared to
Optim . Further, new features are very regular with File-AID - I can't remember the last time
Optim had a significant update. File-AID support is very receptive to feature requests and reported bugs, including sending out hotfixes quickly.
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 Optim is more user friendly in how it operates, in my opinion. It's less obtuse to figure out how to extract and mask the data required compared to File-AID. Further,
Optim is easier to gather related tables, by far. I do prefer using File-AID via the Topaz GUI much more than using
Optim via its GUI. Finally, I personally believe that File-AID is significantly faster to run than
Optim - this could be a configuration issue.
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 I can debug (expeditor) much faster and more efficiently. In fact, I was asked yesterday to run their job through Workbench Expeditor. I can also view data movement much better. Code analysis lets me give a quicker explanation of what a program may do, as it provides a graphical interface showing processing and data movement. Read full review ScreenShots