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
GitLab
Score 8.7 out of 10
N/A
GitLab DevSecOps platform enables software innovation by aiming to empower development, security, and operations teams to build better software, faster. With GitLab, teams can create, deliver, and manage code quickly and continuously instead of managing disparate tools and scripts. GitLab helps teams across the complete DevSecOps lifecycle, from developing, securing, and deploying software. Differentiators, as described by Gitlab:
Simplicity: With GitLab, DevSecOps can…
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 is well-suited for any project that needs VCS. It's an excellent choice for teams that might be remote or have to collaborate across teams. Plenty of features allow for async working. With its dashboards and reporting features, it is also suitable for nontechnical PMs or stakeholders. It allows for very bespoke customization and can most often do much more than you need it to.
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.
I really feel the platform has matured quite faster than others, and it is always at the top of its game compared to the different vendors like GitHub, Azure pipelines, CircleCI, Travis, Jenkins. Since it provides, agents, CI/CD, repository hosting, Secrets management, user management, and Single Sign on; among other features
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 find it easy to use, I haven't had to do the integration work, so that's why it is a 9/10, cause I can't speak to how easy that part was or the initial set up, but day to day use is great!
I've never had experienced outages from GItlab itself, but regarding the code I have deployed to Gitlab, the history helps a lot to trace the cause of the issue or performing a rollback to go back to a working version
GItlab reponsiveness is amazing, has never left me IDLE. I've never had issues even with complex projects. I have not experienced any issues when integrating it with agents for example or SSO
At this point, I do not have much experience with Gitlab support as I have never had to engage them. They have documentation that is helpful, not quite as extensive as other documentation, but helpful nonetheless. They also seem to be relatively responsive on social media platforms (twitter) and really thrived when GitHub was acquired by Microsoft
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.
GitHub is an inferior product from most points of view. We had to use it and the teams finds no positives about it. Everything is a downgrade from our previous GitLab solution. GitLab CI\CD is vastly superior to workflows, for example doing a manual node is just "when : manual" in GitLab while you have to do clickops in GitHub to achieve the same. No overview of code in branches is a minus when we tried to figure out what our colleagues are trying to merge as it looked off.
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.