We performed a comparison between AWS CodeDeploy and Chef based on real PeerSpot user reviews.
Find out what your peers are saying about GitLab, Microsoft, Red Hat and others in Release Automation."It is very flexible."
"It's just like every other AWS resource I use. It gets the job done."
"AWS CodeDeploy operates on an on-demand basis. This means that you only pay for the exact duration of the deployment process. Whether it takes one minute, two minutes, or even longer, you're only charged for the time it takes to complete the deployment. You're not locked into paying for dedicated servers."
"The most valuable feature is its easy configuration management, optimization abilities, complete infrastructure and application automation, and its superiority over other similar tools."
"The most important thing is it can handle a 100,000 servers at the same time easily with no time constraints."
"One thing that we've been able to do is a tiered permission model, allowing developers and their managers to perform their own operations in lower environments. This means a manager can go in and make changes to a whole environment, whereas a developer with less access may only be able to change individual components or be able to upgrade the version for software that they have control over."
"It streamlined our deployments and system configurations across the board rather than have us use multiple configurations or tools, basically a one stop shop."
"Chef recipes are easy to write and move across different servers and environments."
"It is a well thought out product which integrates well with what developers and customers are looking for."
"The most valuable feature is automation."
"Automation is everything. Having so many servers in production, many of our processes won't work nor scale. So, we look for tools to help us automate the process, and Chef is one of them."
"Deployment and stability should be improved."
"Improvements could be made to AWS CodeDeploy in terms of its agent's compatibility across different operating systems. Currently, there are instances where the agent may not work seamlessly with certain integrations, leading to issues with registering protocols on authorized servers."
"The solution could improve in managing role-based access. This would be helpful."
"The AWS monitoring, AWS X-Ray, and some other features could be improved."
"Chef could get better by being more widely available, adapting to different needs, and providing better documentation."
"In the future, Chef could develop a docker container or docker images."
"There appears to be no effort to fix the command line utility functionality, which is definitely broken, provides a false positive for a result when you perform the operation, and doesn't work."
"The agent on the server sometimes acts finicky."
"Support and pricing for Chef could be improved."
"The time that it takes in terms of integration. Cloud integration is comparatively easy, but when it comes to two-link based integrations - like trying to integrate it with any monitoring tools, or maybe some other ticketing tools - it takes longer. That is because most of the out-of-the-box integration of the APIs needs some revisiting."
AWS CodeDeploy is ranked 6th in Release Automation with 3 reviews while Chef is ranked 12th in Release Automation with 18 reviews. AWS CodeDeploy is rated 9.4, while Chef is rated 8.0. The top reviewer of AWS CodeDeploy writes "Doesn't require scripting for each stage but improvements can be made for agent compatibility". On the other hand, the top reviewer of Chef writes "Useful for large infrastructure, reliable, but steep learning cureve". AWS CodeDeploy is most compared with AWS Amplify, AWS CodeStar, Microsoft Azure DevOps, Octopus Deploy and Red Hat Ansible Automation Platform, whereas Chef is most compared with Jenkins, Microsoft Azure DevOps, AWS Systems Manager, Microsoft Configuration Manager and BigFix.
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We monitor all Release Automation reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.