Azure Pipelines vs. CloudBees Continuous Integration

With a fully Microsoft Azure based workflow - Azure Pipelines makes absolute sense. Azure Pipelines are robust and work very well with SonarQube for test coverage and are shared with our developers. This prevents the developers for pushing code without unit tests across our backend and frontend platforms. We have reduced our instances of manual regression tests especially when there are multiple teams working across the same repositories.

Incentivized

If you're running Jenkins in your enterprise and it's in the critical path of your software pipelines, I highly recommend CloudBees Jenkins over the open source version of the product to ensure you've got the customer and technical support you'll need for your Jenkins platform to be successful.

Incentivized

• Code Integration/Code Deployment
• Azure Engine Auto Scaling Up with help of Pipeline
• Managing Version Control and deploy in rollback with just one click

Incentivized

• Customer Support
• Solutions engineering

Incentivized

• Error messaging when team members don't have permissions

Incentivized

• File or Workspace Management
• Agent configurations at master level
• Better Support for issues in product

Incentivized

Support seems very unreachable from my experience. They handle cases if developers are facing issues, support seems to be very limited. It's not like other tools in a market where every mail is being taken priority and responses are sent. We see a lack in this particular aspect when it comes to CloudBees Jenkins Platform.

Incentivized

We have used the GitHub CI/CD. Earlier we were using the Azure Pipelines but after GitHub had their actions, we integrated that for CI/CD. It runs the tests and makes a production build which can be live. GitHub CI/CD is more useful because we have to make script only once then just by few changes we can deploy it onto Azure, AWS, Google anywhere so we found it more convenient

Incentivized

Easy to lean, use, highly customizable pipelines, works well for version control, etc. Example Digital.ai gives all those features which can be done in Jenkins like builds, deployment, release management, etc. But, it requires universal templates to be created which are difficult to maintain and readable like groovy pipelines in Jenkins.

Incentivized

• We don't have to deploy changes manually
• But because of this that we automated some tasks, we need to be still aware of some edge cases we can meet and which can cause a pipelines failures
• We can deploy changes pretty fast

Incentivized

• Positive - Handles number of requests
• Positive - Customizations of pipelines helps integrate many type of frameworks
• Negative - Cache management on agents for dependencies downloaded
• Positive - credential management helps reduce configurations to be done for each project job at manual level

Incentivized