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."The most important thing is it can handle a 100,000 servers at the same time easily with no time constraints."
"I wanted to monitor a hybrid cloud environment, one using AWS and Azure. If I have to provision/orchestrate between multiple cloud platforms, I can use Chef as a one-stop solution, to broker between those cloud platforms and orchestrate around them, rather than going directly into each of the cloud-vendors' consoles."
"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."
"The scalability of the product is quite nice."
"It is a well thought out product which integrates well with what developers and customers are looking for."
"You set it and forget it. You don't have to worry about the reliability or the deviations from any of the other configurations."
"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."
"This solution has improved my organization in the way that deployment has become very quick and orchestration is easy. If we have thousands of servers we can easily deploy in a small amount of time. We can deploy the applications or any kind of announcements in much less time."
"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."
"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."
"Vertical scalability is still good but the horizontal, adding more technologies, platforms, tools, integrations, Chef should take a look into that."
"They could provide more features, so the recipes could be developed in a simpler and faster way. There is still a lot of room for improvement, providing better functionalities when creating recipes."
"The AWS monitoring, AWS X-Ray, and some other features could be improved."
"Third-party innovations need improvement, and I would like to see more integration with other platforms."
"Since we are heading to IoT, this product should consider anything related to this."
"If they can improve their software to support Docker containers, it would be for the best."
"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 tool needs to improve on cloud-native GitOps."
"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."
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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