We performed a comparison between Chef and Digital.ai Deploy based on real PeerSpot user reviews.
Find out in this report how the two Release Automation solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Chef can be scaled as needed. The Chef server itself can scale but it depends on the available resources. You can upgrade specific resources to meet the demand. Similarly, with clients, you can add as many clients as you need. Again, this depends on the server resources. If the server has enough resources, it can handle the number of servers required to manage the infrastructure. Chef can be scaled to meet the needs of the infrastructure being managed."
"Manual deployments came to a halt completely. Server provisioning became lightning fast. Chef-docker enabled us to have fewer sets of source code for different purposes. Configuration management was a breeze and all the servers were as good as immutable servers."
"The most important thing is it can handle a 100,000 servers at the same time easily with no time constraints."
"If you're handy enough with DSL and you can present your own front-facing interface to your developers, then you can actually have a lot more granular control with Chef in operations over what developers can perform and what they can't."
"Chef recipes are easy to write and move across different servers and environments."
"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 has been very easy to tie it into our build and deploy automation for production release work, etc. All the Chef pieces more or less run themselves."
"It is a well thought out product which integrates well with what developers and customers are looking for."
"This product is an innovative market leader in the field of application deployment."
"The solution creates a manifest file that caps the bridge between the developer and the system admin."
"The solution's most valuable aspect is that it is vendor-agnostic and it has a file called Manifest, which makes it possible for developers, ops people, and system admins to cooperate."
"If they can improve their software to support Docker containers, it would be for the best."
"Vertical scalability is still good but the horizontal, adding more technologies, platforms, tools, integrations, Chef should take a look into that."
"Chef could get better by being more widely available, adapting to different needs, and providing better documentation."
"I would rate this solution a nine because our use case and whatever we need is there. Ten out of ten is perfect. We have to go to IOD and stuff so they should consider things like this to make it a ten."
"The agent on the server sometimes acts finicky."
"I would like them to add database specific items, configuration items, and migration tools. Not necessarily on the builder side or the actual setup of the system, but more of a migration package for your different database sets, such as MongoDB, your extenders, etc. I want to see how that would function with a transition out to AWS for Aurora services and any of the RDBMS packages."
"The AWS monitoring, AWS X-Ray, and some other features could be improved."
"In the future, Chef could develop a docker container or docker images."
"While it is a flexible product and provides a means of integrating with virtually anything, the company should make a better effort to keep up with new platform integrations."
"The solution currently has a bug that causes performance issues. They need to resolve this in a future release."
"The tool needs to improve on cloud-native GitOps."
Chef is ranked 15th in Release Automation with 18 reviews while Digital.ai Deploy is ranked 13th in Release Automation with 11 reviews. Chef is rated 8.0, while Digital.ai Deploy is rated 7.4. The top reviewer of Chef writes "Easy configuration management, optimization abilities, and complete infrastructure and application automation". On the other hand, the top reviewer of Digital.ai Deploy writes "Besides for the flash GUI which is a pain, it includes all of the features we were looking for". Chef is most compared with Jenkins, AWS Systems Manager, Microsoft Azure DevOps, BigFix and SaltStack, whereas Digital.ai Deploy is most compared with Microsoft Azure DevOps, Red Hat Ansible Automation Platform and Digital.ai Release . See our Chef vs. Digital.ai Deploy report.
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