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 valuable feature is the language that it uses: Ruby."
"The product is useful for automating processes."
"It streamlined our deployments and system configurations across the board rather than have us use multiple configurations or tools, basically a one stop shop."
"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."
"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."
"Stable and scalable configuration management and automation tool. Installing it is easy. Its most valuable feature is its compliance, e.g. it's very good."
"We have had less production issues since using Chef to automate our provisioning."
"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."
"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."
"Chef could get better by being more widely available, adapting to different needs, and providing better documentation."
"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."
"Third-party innovations need improvement, and I would like to see more integration with other platforms."
"If they can improve their software to support Docker containers, it would be for the best."
"The AWS monitoring, AWS X-Ray, and some other features could be improved."
"Vertical scalability is still good but the horizontal, adding more technologies, platforms, tools, integrations, Chef should take a look into that."
"I would like to see more security features for Chef and more automation."
"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."
"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 tool needs to improve on cloud-native GitOps."
"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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