GitLab and AWS CodePipeline compete in the CI/CD pipeline category. GitLab seems to have the upper hand due to its extensive control over repositories and user interface, while AWS CodePipeline stands out for seamless AWS integration and cost-effectiveness.
Features: GitLab provides robust repository control, comprehensive merging operations, and efficient CI/CD pipeline management. AWS CodePipeline offers strong integration with AWS services, automated deployments, and blue-green deployment capabilities.
Room for Improvement: GitLab needs improved integration beyond Kubernetes, better executive metrics, and enhanced reporting. AWS CodePipeline requires better customization, multi-cloud support, and faster build times.
Ease of Deployment and Customer Service: GitLab is flexible across multiple infrastructures with mixed service reviews highlighting slower response times. AWS CodePipeline focuses on AWS environments with expectations for broader compatibility and improved support.
Pricing and ROI: GitLab's freemium model provides comprehensive features, though it may be costly for smaller teams. AWS CodePipeline's pay-as-you-go pricing offers integration benefits and cost-effectiveness, despite being perceived as high compared to alternatives.
Regarding release frequency, previously we had one to two releases per week, but now we achieve daily or on-demand releases, resulting in a three to five-fold increase in release frequency.
Migrating to GitLab is bringing time-saving benefits, and everything is easier to automate.
We have saved time significantly, reducing deployment time from four hours to five minutes per deployment.
We have rarely needed to escalate issues to technical support since GitLab usually runs seamlessly.
I have interacted with architects for some advice during the implementation, and they were prompt in their response.
I have had meetings where they taught me, explained things, and provided guidance for starting from scratch.
AWS CodePipeline is good for scalability, and I rate it as nine out of ten.
It has all the features required for our coding and deployment needs, which makes it scalable to our changing requirements.
We're transitioning to OpenShift for future scalability with increased user numbers.
For scaling, other deployment options from GitLab's side need to be adopted.
I rate the stability of AWS CodePipeline as a ten out of ten because I have not experienced any issues with it.
I have not encountered any performance or stability issues with GitLab so far.
The updates are frequent and demanding, happening at least once a week due to security reasons.
We raised a request with GitLab support, but they were unable to help because they could not find the root cause of what went wrong.
The documentation for AWS CodePipeline is lacking and makes it difficult to find information due to its complexity.
It would be beneficial to have a user-friendly interface for setting up these configurations, instead of just writing YAML files.
It is essential to conduct proper testing, such as unit tests and code coverage, within the SDLC pipelines.
GitLab can improve its user interface to make conflict resolution more user-friendly.
I estimated it costs around $5 monthly.
Even when working in other small organizations, we opted for GitLab as it was cost-efficient.
The pricing of GitLab is reasonable, aligning with what I consider to be average compared to competitors.
The price is high, and it limits user accessibility.
It allows me to test changes in an isolated environment before deploying them to the entire user base.
As we implement automated testing and DevSecOps, it speeds up the process by forty to sixty percent.
The Ultimate version offers enhanced features for security scanning through DAST and SAST analysis, which have greatly benefitted our project workflow.
By integrating GitLab as a DevOps platform, we have enhanced agility, improved our time to market, and different teams can work collaboratively on various projects.
| Product | Market Share (%) |
|---|---|
| GitLab | 9.6% |
| AWS CodePipeline | 3.3% |
| Other | 87.1% |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 4 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 36 |
| Midsize Enterprise | 10 |
| Large Enterprise | 46 |
AWS CodePipeline is a fully managed continuous delivery service that helps you automate your release pipelines for fast and reliable application and infrastructure updates. CodePipeline automates the build, test, and deploy phases of your release process every time there is a code change, based on the release model you define. This enables you to rapidly and reliably deliver features and updates. You can easily integrate AWS CodePipeline with third-party services such as GitHub or with your own custom plugin. With AWS CodePipeline, you only pay for what you use. There are no upfront fees or long-term commitments.
GitLab offers a secure and user-friendly platform for CI/CD pipeline management, code repository control, and collaboration, enhancing development speed and efficiency. It facilitates automation with extensive customization and tool integration, ideal for DevOps processes.
GitLab supports source code management, version control, and collaborative development. It's frequently used in CI/CD processes to automate builds and deployments while integrating DevOps practices. GitLab allows companies to manage repositories, automate pipelines, conduct code reviews, and maintain development lifecycles. The platform supports infrastructure and configuration management, enabling efficient code collaboration, deployment automation, and comprehensive repository handling. Many organizations commit and deploy developed code using GitLab's capabilities.
What are GitLab's most valuable features?In specific industries, GitLab serves as a backbone for source code management and CI/CD implementation. Companies leverage its capabilities for infrastructure management and deployment automation, thus streamlining project delivery timelines. Its ability to handle configuration management and code repositories effectively aids in maintaining development lifecycles, making it a preferred choice for organizations committed to enhancing their DevOps practices.
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