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
mabl
Score 8.0 out of 10
N/A
mabl is a regression test automation tool with test output visualization and performance regression for tracking the perceived speed of web apps and sites, from the company of the same name in Boston.
N/A
Pricing
AWS CodePipeline
mabl
Editions & Modules
AWS CodePipeline
$1
per active pipeline/per month
Free Tier
Free
No answers on this topic
Offerings
Pricing Offerings
AWS CodePipeline
mabl
Free Trial
No
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
AWS CodePipeline
mabl
Features
AWS CodePipeline
mabl
Automation Testing
Comparison of Automation Testing features of Product A and Product B
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.
We haven't found a scenario yet where it hasn't been appropriate. We did have one function on our application that mabl couldn't do, but they solved it and got back to us very quickly. Our application is web-based and mabl is able to handle this very easily. We use the command line runner a lot. Being able to easily and quickly change from a cloud based run to a local run has been fantastic. Setting up flows and environments is a wonderful feature
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.
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.
We ultimately selected mabl cause it most met our needs and our budget. We needed a low code UI automation test tool. We also have a suite of existing testing tools and other tools that it needed to be able to integrate with. Price was the only thing that ruled out some of the above tools, we are a small start up, and don't have a huge budget. Some tools listed didn't have the same functionality or ease of use with the record and playback. mabl works on our machines and integrates with our existing tools
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.
