Azure Pipelines vs. Codefresh

It is good tool if you are doing continuous improvements in your code and you wish it goes live whenever you push code to GitHub. So integrating Azure Pipeline, it automatically does CI/CD in the background once you push code/merge code and it is live in few minutes. It also does some automated tests if you have wrote scripts

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

• Integration with SonarQube
• Integration with Azure DevOps
• Integration with GitHub

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

• The errors which we got sometimes are not clearly enough.
• There are some let's say hidden options, they could be more visible
• When the process is running we have to remember about manually refreshing to see the current status because it doesn't work automatically

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 have had outages from Azure in the past

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