AWS CodeBuild is a fully managed continuous integration service that compiles source code, runs tests, and produces software packages that are ready to deploy.
$0.01
Per Minute
Azure Test Plans
Score 9.1 out of 10
N/A
Azure Test Plans is an exploratory test toolkit available from Microsoft's Azure suite of services. It enables manual testing for users, so that they can plan, execute, and track scripted tests with actionable defects and end-to-end traceability. Assess quality throughout the development lifecycle by testing your desktop or web applications. It is available with Azure DevOps Services.
N/A
Pricing
AWS CodeBuild
Azure Test Plans
Editions & Modules
general.1.small
$.005
Per Minute
general.1.medium
$.01
Per Minute
general.1.large
$.02
Per Minute
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Offerings
Pricing Offerings
AWS CodeBuild
Azure Test Plans
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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Community Pulse
AWS CodeBuild
Azure Test Plans
Features
AWS CodeBuild
Azure Test Plans
Test Management
Comparison of Test Management features of Product A and Product B
It is really good for building projects in the cloud. If you try to do build the project first locally and then push that stack to the cloud it could take a lot of time. In this way, it also consumes a lot of resources in the computer and in the network.
It works well for express test case implementation with a short duration. You can define the tests for two weeks and run the activities documenting the software errors and fixes to control the effectiveness of DevOps. The graphic reports give the idea of the backlog phases advances and errors detected. It needs improvement if you have a large test project and need to design financial budgets and control over costs of the test plan.
It was difficult to create a branching strategy with GitHub. We had everything running from main, but in a true devops environment, we would like to incorporate a true branching strategy.
I would like to share build projects with each AWS account we utilize versus creating a build project in each account. It will allow us consistent deployments across the board.
The error logs are natively in AWS, but when developers do not have access, there is no way for them to view error logs for maintenance other than an admin who has access to share the error logs.
It is a highly usable, well integrated CI/CD service, patricularly for AWS-centric organizations. It is a strong balance between simplicity and flexibility. Security was integrated with AWS Secrets Manager allowing secrets to be retrieved dynamically - a huge usability win for us. I did not enjoy the manual build for each environment
I've used GitHub Actions compared to AWS CodeBuild - I enjoyed the integration with AWS from a codebuild perspective, but GitHub Actions and Workflows allowed us to create a reusable pipeline which is more in line with our devops structure. I enjoy AWS CodeBuild, but from a true continuous deployment, GitHub Actions was more fit.
Test rail feels quite dated compared to Azure Test plans and Devops as a whole. Functionality and ease of use is actually night and day.
The ability to create structured test plans with ease that can be traced and attached to Epics and stories with relevant tasks allows the system to feel superior in everyway compared to Test rail which had a slow web interface
AWS CodeBuild was introduces as a core enabler for automating database deployments and enforcing a standardization across six environments. The standardization and quality control was well received.
Security was baked in reducing audit findings.
Deployments took minutes to update all environments compared to hours. It helped us a lot to reduce drift and deploy consistently.
Typically the sprints themselves and managing the tasks have essentially eliminated our need for reporting.
The most valuable features of Microsoft Azure DevOps are high-level protection. Protection is very important to the customers to prevent eavesdropping.