AWS CodeDeploy vs. Azure Pipelines

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS CodeDeploy
Score 10.0 out of 10
N/A
AWS CodeDeploy is a fully managed deployment service that automates software deployments to a variety of compute services such as Amazon EC2, AWS Fargate, AWS Lambda, and on-premises servers. AWS CodeDeploy aims to make it easier for users to rapidly release new features, avoid downtime during application deployment, and handle the complexity of updating applications.
$0.02
per on-premises instance
Azure Pipelines
Score 8.5 out of 10
N/A
Users can automate builds and deployments with Azure Pipelines. Build, test, and deploy Node.js, Python, Java, PHP, Ruby, C/C++, .NET, Android, and iOS apps. Run in parallel on Linux, macOS, and Windows. Azure Pipelines can be purchased standalone, but it is also part of Azure DevOps Services agile development planning and CI/CD suite.N/A
Pricing
AWS CodeDeployAzure Pipelines
Editions & Modules
AWS CodeDeploy
$0.02
per on-premises instance
No answers on this topic
Offerings
Pricing Offerings
AWS CodeDeployAzure Pipelines
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
AWS CodeDeployAzure Pipelines
User Ratings
AWS CodeDeployAzure Pipelines
Likelihood to Recommend
10.0
(5 ratings)
7.0
(3 ratings)
Usability
10.0
(1 ratings)
-
(0 ratings)
User Testimonials
AWS CodeDeployAzure Pipelines
Likelihood to Recommend
Amazon AWS
Getting the code from Git Hub, uploading it to the repository, making changes, and deploying it to a specific environment makes AWS tremendous and easy to work with. Once you know how to do it, it is easy to replicate. On the other hand, if you are new, it gets confusing, and you need guidance on the steps to take not to compromise the application.
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Microsoft
It is good tool if you are doing continuous improvements in your code and you wish it goes live whenever you push code to GitHub. So integrating Azure Pipeline, it automatically does CI/CD in the background once you push code/merge code and it is live in few minutes. It also does some automated tests if you have wrote scripts
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Pros
Amazon AWS
  • Integration with other AWS services
  • No administration required
  • Unified and easy process for dev teams
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Microsoft
  • Integration with SonarQube
  • Integration with Azure DevOps
  • Integration with GitHub
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Cons
Amazon AWS
  • There is one limitation is it can't do multi-tier apps
  • It is not possible to control the order in which deployment occurs if more than one deployment attempts to run at the same time
  • AWS CodeDeploy does not integrate with GitHub
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Microsoft
  • The errors which we got sometimes are not clearly enough.
  • There are some let's say hidden options, they could be more visible
  • When the process is running we have to remember about manually refreshing to see the current status because it doesn't work automatically
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Usability
Amazon AWS
Here is where AWS as a whole stepped up big. The UI is more intuitive and easy to use. The separation is clear, and the guides are abundant. They still need to create starter tutorials for newcomers so we don't lose much time learning/teaching others. Having someone with basic knowledge and examples where they can gain experience will make it better.
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Microsoft
No answers on this topic
Alternatives Considered
Amazon AWS
Jenkins supports a lot of plugings. Also with Jenkins, it is possible to manage everything through our own server. Those are 2 points where I rate Jenkins as one of the best DevOps Tool
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Microsoft
We have used the GitHub CI/CD. Earlier we were using the Azure Pipelines but after GitHub had their actions, we integrated that for CI/CD. It runs the tests and makes a production build which can be live. GitHub CI/CD is more useful because we have to make script only once then just by few changes we can deploy it onto Azure, AWS, Google anywhere so we found it more convenient
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Return on Investment
Amazon AWS
  • AWS CodeDeploy has reduced the engineer involvement in deployments
  • Our QA team has been able to effectively deploy tickets for testing, and our Release Managers can manage production deployments
  • Progress indicators have given us a better baseline for deployment times, which is helpful for time-sensitive releases
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Microsoft
  • we have had outages from Azure in the past
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ScreenShots