We performed a comparison between AWS CodeDeploy and Red Hat Ansible Automation Platform 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."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."
"The product is easy to use."
"You can easily integrate AWS CodeDeploy with multiple services."
"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."
"Ansible provides great reliability when coupled with a versioning system (git). It helps providing predictability to the network by knowing exactly what's being pushed after validating it in production."
"The most valuable feature is that it is easy to build playbooks. The learning curve is not that steep."
"The Organizations feature, where I can give clear silos and hand them over to different teams, that's amazing; everybody says that it's their own Tower. It's like they have their own Tower out there."
"Since it is in YAML, if I have to explain it to somebody else, they can easily understand it."
"Ansible Galaxy is helpful for roles and Git Submodules: No dependency in managing playbooks. Also, fact caching in redis for host/role grp information speeds up execution. Finally, variable management is easy."
"It's nice to have the Dashboard where people can see it, have it report to our ELK stack. It's far more convenient, and we can trigger it with API and schedules, which is better than doing it with a whole bunch of scripts."
"Red Hat Ansible Automation Platform is quite stable. If you set it up correctly with the right configurations and there are no hiccups during installation and deployment, it will be stable. I'd give stability a rating of eight out of ten."
"Installing it is a PIP command. So, it's pretty easy. It is a one liner."
"I faced some stability issues."
"We have faced some issues and bugs along the way when it comes to stability."
"Deployment and stability should be improved."
"AWS CodeDeploy doesn't provide multiple plugins like Jenkins, which is a shortcoming where improvements are required."
"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 should provide its own templates in the console so that I don't need to go anywhere else to get the template for AWS CodeDeploy or AWS CodeBuild."
"One problem that I'm facing right now is the mismatch between the new version of Python and Ansible. Sometimes it's Python 2, and sometimes it's Python 3. When things get a bit dicey, I wish that Ansible would solve this issue by itself. I don't want to have to specify if it is Python 3 or version 2."
"Documentation could be improved. Many times, if I'm looking for something, I have to Google it in a lot of places, then figure out what the best approach will be. There are some best practices documents, but they don't give you the information."
"The solution is slightly expensive, and its pricing could be improved."
"Performance has been an issue on larger environments, but it has gotten a lot better over the past two years."
"The area which I feel can be improved is the custom modules. For example, there are something like 106 official modules available in the Ansible library. A year ago, that number was somewhere around 58. While Ansible is improving day by day, this can be improved more. For instance, when you need to configure in the cloud, you need to write up a module for that."
"What I would like to see is a refined Dashboard to see, when I log in: Here are all my jobs, here are how many times they've executed; some kind graphical stitching-together of the workflows and jobs, and how they're connected. Also, those "failed hosts," what does that mean? We have a problem, a failed host can be anything. Is SSH the reason it failed? Is the job template why it failed? It doesn't really distinguish that."
"The tool should allow us to create infrastructure. It has everything when it comes to management, but it lacks the provisioning aspect."
"The solution must be made easier to configure."
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AWS CodeDeploy is ranked 4th in Release Automation with 7 reviews while Red Hat Ansible Automation Platform is ranked 3rd in Release Automation with 62 reviews. AWS CodeDeploy is rated 8.4, while Red Hat Ansible Automation Platform is rated 8.6. 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 Red Hat Ansible Automation Platform writes "Its agentless, making the deployment fast and easy". AWS CodeDeploy is most compared with AWS Amplify, AWS CodeStar, Microsoft Azure DevOps, Octopus Deploy and GitLab, whereas Red Hat Ansible Automation Platform is most compared with Red Hat Satellite, Microsoft Configuration Manager, VMware Aria Automation, Microsoft Azure DevOps and Microsoft Intune. See our AWS CodeDeploy vs. Red Hat Ansible Automation Platform report.
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