AWS CodeBuild vs. GoCD

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS CodeBuild
Score 8.4 out of 10
N/A
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
GoCD
Score 8.0 out of 10
N/A
GoCD, from ThoughtWorks in Chicago, is an application lifecycle management and development tool.N/A
Pricing
AWS CodeBuildGoCD
Editions & Modules
general.1.small
$.005
Per Minute
general.1.medium
$.01
Per Minute
general.1.large
$.02
Per Minute
No answers on this topic
Offerings
Pricing Offerings
AWS CodeBuildGoCD
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
Best Alternatives
AWS CodeBuildGoCD
Small Businesses
GitLab
GitLab
Score 8.9 out of 10
GitLab
GitLab
Score 8.9 out of 10
Medium-sized Companies
GitLab
GitLab
Score 8.9 out of 10
GitLab
GitLab
Score 8.9 out of 10
Enterprises
GitLab
GitLab
Score 8.9 out of 10
GitLab
GitLab
Score 8.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS CodeBuildGoCD
Likelihood to Recommend
9.0
(1 ratings)
9.0
(2 ratings)
User Testimonials
AWS CodeBuildGoCD
Likelihood to Recommend
Amazon AWS
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.
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ThoughtWorks
Previously, our team used Jenkins. However, since it's a shared deployment resource we don't have admin access. We tried GoCD as it's open source and we really like. We set up our deployment pipeline to run whenever codes are merged to master, run the unit test and revert back if it doesn't pass. Once it's deployed to the staging environment, we can simply do 1-click to deploy the appropriate version to production. We use this to deploy to an on-prem server and also AWS. Some deployment pipelines use custom Powershell script for.Net application, some others use Bash script to execute the docker push and cloud formation template to build elastic beanstalk.
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Pros
Amazon AWS
  • Customization
  • Do code builds within a schedule or when the source code changes
  • Only pay for the build time used
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ThoughtWorks
  • Pipeline-as-Code works really well. All our pipelines are defined in yml files, which are checked into SCM.
  • The ability to link multiple pipelines together is really cool. Later pipelines can declare a dependency to pick up the build artifacts of earlier ones.
  • Agents definition is really great. We can define multiple different kinds of environments to best suit our diverse build systems.
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Cons
Amazon AWS
  • Sometimes it runs an outage and developers don't know why. We have to contact DevOps most of the time.
  • Sometimes it is slow
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ThoughtWorks
  • UI can be improved
  • Location for settings can be re-arranged
  • API for setting up pipeline
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Alternatives Considered
Amazon AWS
AWS CodeBuild provides the option to fully implement the build in the cloud without wasting your local resources (computer and network) providing independence to developers to invest those resources in other processes. It also provides a robust platform with a lot of customizations or just a script for each language.
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ThoughtWorks
GoCD is easier to setup, but harder to customize at runtime. There's no way to trigger a pipeline with custom parameters.
Jenkins is more flexible at runtime. You can define multiple user-provided parameters so when user needs to trigger a build, there's a form for him/her to input the parameters.
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Return on Investment
Amazon AWS
  • It has a positive ROI
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ThoughtWorks
  • ROI has been good since it's open source
  • Settings.xml need to be backed up periodically. It contains all the settings for your pipelines! We accidentally deleted before and we have to restore and re-create several missing pipelines
  • More straight forward use of API and allows filtering e.g., pull all pipelines triggered after this date
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ScreenShots