AWS CodePipeline vs. IBM DevOps Deploy

CodePipeline is well suited for an already existing AWS-native deployment. It is very easy to connect to existing repos like GitHub enterprise or cloud repos like CodeCommit. Being able to define the process by code (YAML) is a huge benefit for developers who favor that type of deployment setup. The UI is easy to use yet very powerful and customizable. Being able to leverage CloudTrail or Lambda is quite powerful, especially in larger more complex projects. It becomes less valuable with smaller projects or locally hosted deployments that don't get the benefits of a managed service in the AWS ecosystem. However, there are agents that can be run on private servers to allow integration. But naturally, smaller one-off projects benefit less from the automation value derived by CodePipeline.

Incentivized

IBM UrbanCode Deploy is excellent for code deployments such as Java, .Net, C++, etc. It can also deploy and run SQLs reasonably well. Where it lacks is the ability for executables, Jars, WARs, EARs, etc.

Incentivized

• It is reliable and works without errors
• It integrates well with our repository and all other AWS functions as well as our end database

Incentivized

• Consistently deploys to multiple environments with no changes to the process. Having reusable processes across environments from Dev to Production make deployments more consistent and easier to manage.
• IBM UrbanCode Deploy has an easy to understand UI, to be able to review if a deployment has successfully completed or not, and details if it did not work. Using the UI is simple and easy to understand.
• Scheduling and approvals are built-in as configured for the deployments. This allows us to use the same deployment process, but get approvals as needed when code is moved up to the upper environments.

Incentivized

• Ease of use - things like CircleCI or other tools are a bit easier to learn.
• Ability to build from more sources.

Incentivized

• Use of the internal API for public API use.
• Less cryptic CLI output on commands.
• Better use of custom variables that don't interfere with UCD's use.

Incentivized

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.

Incentivized

It's challenging to get a working knowledge of the product without having someone show you the ropes. Linking components with applications and applications with resource trees and resource trees with application deploys is not intuitive. However, once past that learning curve, the possibilities open up, and things become easier to understand and allow for further granularity.

Incentivized

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.

Incentivized

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.

Incentivized

I've not worked directly with IBM UrbanCode Deploy support. My DevOps team administers the environment and deals with that.

Incentivized

I felt that, out of the alternatives, AWS CodePipeline was the simplest to setup and most reliable. Since my client's infrastructure was already hosted in AWS, I felt it was a no-brainer. If a client needed a similar solution with on-prem or non-AWS infrastructure, I would probably evaluate a different solution. AWS CodePipeline is pretty tightly coupled with the rest of the AWS ecosystem.

Incentivized

• AWS CodePipeline reduced CI/CD pipeline development time by 10% for AWS native application stacks.
• AWS CodePipeline reduced response time to build failures by 3% through SNS integrations.

Incentivized

• Push button deployments.
• Consistency and ability to focus on other tasks.
• Required quite a bit of upfront customization with certain web deployments (WebSphere, etc.)
• Opened the door to other types of deployments and other automation.

Incentivized