Azure Pipelines vs. Codefresh

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

While deploying docker images on kubernetes pods I must say Codefresh helped me a lot. It has made my work easy as an Automation tool. I can setup a simple pipelines to automate my build for kubernetes. but for more complex pipelines Codefresh need some improvement

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

• Continuous Integration and Continuous Development. we can setup jobs that automatically triggered when there is any changes in code and starts building up the build images automatically and then pushing images to Container Registry
• We can involve Version control system like github, bitbucket, gitlab etc for integration of Codefresh with our code stored in these Version control systems.
• On the failure of any jobs/pipeline Codefresh can also send Notification on our email.

Incentivized

• Error messaging when team members don't have permissions

Incentivized

• With Codefresh it's become hard to handle complex pipelines
• Need to focus more on Documentation part
• UI can be more attractive
• Security can be more increased

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

It's very scalable It is cost effective It easily get integrated with third party tools It easily get integrated with Kubernetes Docker.

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:
• As an Automation tools I must say it has reduced manual labour , reduced errors and improved quality of work.
• It easily get integrated with third party tools which increases ease ness in our work
• Negative:
• Although being a very good tools in CI/CD
• It requires improvement in UI, it's speed, security, optimization.

Incentivized