Codefresh vs. Digital.ai Release

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

Mainly used in release management where all deployments are well managed and processed further based on the approval system. Complete enterprise-level solution with minor difficulties which need to be added to product improvement features. Integration with other CI-CD tools makes it easier to perform tasks in terms of release and deployments.

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

• Cross-team release workflow control using email, texts, scripts allow our release management to be truly a 360 process.
• XL Release allowing our Jenkins toolchain to control the beginning of release trains which is very powerful.
• XL release allows us to expose the business process flow for anyone to read direct at the source which runs the process instead of a separate vision.

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

• Pagination of data - across tool.
• User Roles Management API can be improved.
• Case insensitive ID's are treated differently making user face login and access issues.
• Dependency on Universal template/custom plugins creation should be reduced.
• Code versioning of templates is very difficult.
• Better error handling.
• Futures Timeout Issues.

Incentivized

The tool is easy to use, easy to navigate and learn. Manages releases with proper approvals in a systematic manner. Though it needs minor improvements in terms of pagination (data loading), access management, but, overall the tool helps in increasing productivity and less time for production deployments.

Incentivized

Support is not good at all. To this day, I have to mail my queries and their support site does not log in for me (me alone). But, upon contacting many times, no one helps with a proper response. Though good thing is, I get a proper response over mail too. But, being informative about the tool and not on the issues faced by users outside of the process to get support should also be addressed equally. Which is currently missing in support.

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

XL release is simpler to configure and deploy to the organization than other change management platforms I have used. That simplicity has minor drawbacks requiring you to fit into a limited set of control methods but that exercise helped us simplify a needlessly onerous process.

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

• XL release has improved our consistency of release process, removing multiple days worth of manual status checking and coordination.
• XL release has allowed us to increase the number of beta releases we can support due to simplifying our release actions.

Incentivized