We performed a comparison between AWS CodeDeploy and Digital.ai Agility based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, GitLab, Red Hat and others in Release Automation."It's just like every other AWS resource I use. It gets the job done."
"I found the default settings of AWS CodeDeploy to be highly beneficial for my deployment workflows. For instance, when deploying a Node.js application, I manually installed the necessary components on my AWS instance, such as the web server required by developers. Then, I created deployment scripts for starting and stopping instances and performing the deployment itself. These scripts were stored alongside my code in GitHub, ensuring they executed seamlessly with the CI/CD pipeline. Since the project wasn't overly complex, I opted for the default settings, which proved to be efficient and straightforward for deployment."
"The product's initial setup phase is easy."
"It is very flexible."
"The product is easy to use."
"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."
"It allows my clients to have one central tool to manage their agile projects."
"For visualization capabilities, the automation capabilities make it possible to support the different personas. The features and capabilities are excellent and come with excellent support."
"Agility is highly flexible. It can do much more than what our client is doing with it. They use it in a defined way. Some at that company have a much broader knowledge of agile and SAFe, but they're given applications and a mandated way to work. We had to work within their parameters and provide an accurate transition so the data would be mapped and pushed through."
"With some of the other tools, you have to buy 20 different plugins to get to the same capability that comes with the basic Agility capability."
"It can generate reports showing a burndown chart, burnup chart, and the planned vs actual velocity."
"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."
"AWS CodeDeploy doesn't provide multiple plugins like Jenkins, which is a shortcoming where improvements are required."
"We have faced some issues and bugs along the way when it comes to stability."
"I faced some stability issues."
"There is room for improvement in getting the analytics portion of the solution more integrated with the rest of it."
"The user interface can be improved by adding Save, Edit, Add, Cancel, and Return buttons to the popup windows that are displayed when you click on a child item."
"In my work as a contractor, it's always frustrating when a client has multiple software applications that don't talk to each other and they all perform the same function. That presents a huge challenge between their IT groups."
"The machine learning features are a new capability but could be improved. This is being worked by Digital.ai currently. Multicolor simulation, specifically, could be improved."
"Improve how to create and track releases. Currently, I have to create child projects."
AWS CodeDeploy is ranked 4th in Release Automation with 6 reviews while Digital.ai Agility is ranked 11th in Release Automation with 5 reviews. AWS CodeDeploy is rated 8.6, while Digital.ai Agility is rated 9.0. The top reviewer of AWS CodeDeploy writes "The default settings of AWS CodeDeploy are highly beneficial for my deployment workflows". On the other hand, the top reviewer of Digital.ai Agility writes " A scalable, full-package solution with a tech support team that bends over backwards to help". AWS CodeDeploy is most compared with AWS Amplify, AWS CodeStar, Microsoft Azure DevOps, Octopus Deploy and Red Hat Ansible Automation Platform, whereas Digital.ai Agility is most compared with Jira, Rally Software, Jira Align, Microsoft Azure DevOps and Chef.
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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.
