I use the tool for deployment.
GitLab Ultimate
GitLab | GitLab Ultimate 18.2.1 ReleaseLinux/Unix, Ubuntu 24.04 - 64-bit Amazon Machine Image (AMI)
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SCM that harness the power of multiple addons features
Self-hosted Gitlab Community Edition Server
Despite being the free version, GitLab Community Edition offers a wide range of features for source code management, issue tracking, continuous integration/continuous deployment (CI/CD), and more.
GitLab Community Edition integrates seamlessly with various third-party tools and services, enhancing its functionality and adaptability to different development workflows.
While GitLab Community Edition is suitable for small to medium-sized teams, it also scales well to larger organizations. This scalability ensures that teams can continue using GitLab as their projects grow in complexity and scope.
It server is needed for minium 4Gb memory and expensive disk space ,as for me , it is not pleasure.
Efficient Version Control with GitLab's version control system.
Automated Workflows with gitlab's ci/cd.
Helps to integrate CI/CD pipeline deployments and has good security model
What is our primary use case?
What is most valuable?
The tool helps to integrate CI/CD pipeline deployments. It is very easy to learn. Its security model is good.
What needs improvement?
GitLab could consider introducing a code-scanning tool. Purchasing such tools from external markets can incur charges, which might not be favorable. Integrating these features into GitLab would streamline the pipeline and make it more convenient for users.
For how long have I used the solution?
I have been working with the product for six years.
What do I think about the stability of the solution?
I haven't encountered any bugs in GitLab.
What do I think about the scalability of the solution?
In our company, I estimate that around 30 people use GitLab, primarily for branching and repository management.
Which solution did I use previously and why did I switch?
Our organization decided to use GitLab because it's easy to use, and its user interface is more intuitive than other tools.
How was the initial setup?
The tool's deployment is easy.
What other advice do I have?
I would recommend using GitLab. It provides a repository and API, allowing you to create deployment pipelines. I rate it a ten out of ten.
Which deployment model are you using for this solution?
Good alternative to github!
Version control history is valuable for our development workflow
What is our primary use case?
We create the pipeline and push it to GitLab to initiate the process. The cloud integration is straightforward.
How has it helped my organization?
When it comes to GitLab's CI/CD integration, it significantly supports our development process by accelerating deployments. With automated pipelines, we can focus more on development tasks without worrying about manual deployments, ultimately speeding up our development cycle.
What is most valuable?
In GitLab, I find the features and version control history to be most valuable for our development workflow. These aspects provide us with a clear view of changes and help us manage requests efficiently. I haven't utilized GitLab's security scanning capabilities yet.
We plan to integrate tools like Sonicheap for code security. Currently, we use another product for security, focusing on Q4 security points.
We have used GitLab's features selectively for added security. We don't store passwords directly but use a secret manager and tools to sync passwords securely to our deployment environment.
What needs improvement?
I believe there's room for improvement in the advanced features, particularly in enhancing the pipeline functionalities. Better integration and usability within the pipeline could make a significant difference in user experience. I would suggest considering new features or functions that could streamline workflows further and make using GitLab even more efficient. Having additional functionalities that cater to specific needs could greatly enhance the overall experience with the platform.
For how long have I used the solution?
I have been working with GitLab for the past 5 years.
What do I think about the stability of the solution?
Regarding stability, while I can't rate it on a scale of one to ten, I can say that we've experienced good stability with GitLab, with no downtime or major issues.
What do I think about the scalability of the solution?
How are customer service and support?
I've had support from forums like Stack Overflow when needed. In my experience, GitLab integrates well with third-party tools like SonicWall and Slack without any major issues.
How was the initial setup?
The setup process for GitLab is straightforward and easy to use.
What's my experience with pricing, setup cost, and licensing?
Regarding pricing, I would rate GitLab as moderately priced, maybe around a seven or eight out of ten. It could be more flexible for clients but generally offers good value.
Which other solutions did I evaluate?
When comparing GitLab to competitors like Bitbucket, I find GitLab to be superior, especially in terms of features and functionality. Bitbucket still has its own strengths and is preferred by some organizations.
What other advice do I have?
Overall, I would rate GitLab around eight or nine out of ten. I highly recommend it to other users for both company purposes and personal projects. GitLab provides a solid starting point for learning and working efficiently, making it a valuable tool for developers.
Which deployment model are you using for this solution?
Improved our CI/CD processes in software dependency management
What is our primary use case?
We primarily use GitLab for code migration and version management. It helps us maintain metadata, manage versions, and facilitate continuous integration when working in teams. When working on a feature, we create a feature branch, which allows us to work on the feature independently. Once the feature is complete, it must be merged into the main branch. This streamlines the process of deploying the application to the production environment.
How has it helped my organization?
We use some orchestration tools to do it. We have our own built packet manager, and that package manager interacts with the excellent migration and everything internally.
What is most valuable?
The important feature is the entire process of versioning source code maintenance and easy deployment. It is a necessity for the CI/CD pipeline.
What needs improvement?
There is a need to improve or adopt AI into the ecosystem like a co-pilot, which Microsoft has done with GitHub.
For how long have I used the solution?
I have been using GitLab for nine years. I have worked across version management for continuous integration and deployment.
What do I think about the stability of the solution?
The product sometimes crashes.
I rate the solution’s stability a seven out of ten.
What do I think about the scalability of the solution?
The solution’s scalability is good.
I rate the solution’s scalability an eight out of ten.
Which solution did I use previously and why did I switch?
I have used GitHub before. GitHub now comes with an AI Assistant, similar to a copilot, its most significant advantage. With this copilot, it assists you in writing code. It provides examples and helps you rectify errors, especially during migration processes. Additionally, it offers previews of how migration can be performed. These enhancements are attributed to Microsoft’s support and involvement in OpenAI.
How was the initial setup?
The initial setup is easy and depends on the target enrollment; it typically takes just a few minutes to complete. Migration is also handled efficiently, typically in less than a few minutes or between three to five minutes, depending on the data size you want to migrate. The only drawback or consequence is that you need a private Git repository, which GitLab should provide by default.
What's my experience with pricing, setup cost, and licensing?
For small-scale usage, GitLab offers a free tier. For enterprise pricing, GitLab is more expensive than GitHub, as it's not as widely adopted. GitLab is the preferred choice for many developers despite its higher monthly pricing plan, which is around $126.
What other advice do I have?
GitLab has improved our CI/CD processes in software dependency management. It handles conflicts between versions seamlessly, such as when merging different features into the main branch. With GitLab, there are no conflicts in the code itself. Versioning is also efficiently managed within GitLab, allowing us to easily track the latest main branches, previous branches, and releases. For example, if a software depends on specific versions, it's easily traceable using GitLab. One of the most significant advantages is the built-in DTS, which supports ample file storage. This capability allows us to store 30-40 gigabytes of repository sizes.
The code diffs available in GitLab show the differences between the older version and the current one, indicating what has been added, deleted, or modified across the codebase. This helps you understand which portions of the code have changed within a particular file, such as a Python script, aiding in traceability and version management.
The merge request feature is standard and available even in GitHub, making it accessible on most Git platforms. It is one of the fundamental features of GitLab, a free product.
Overall, I rate the solution a seven out of ten.
Review for git lab
All-in-one DevSecOps platform
It's not only dedicated to tech and experimented profiles, it's also easy to onboard and to use for juniors and for non-tech profiles. Therefore, GitLab is the central tool of your project lifecycle, bringing visibility, enhancing productivity and security into your projects
Github vs gitlab
Extremely pleasant experience for storing and building code.
2. Ease of access due to clean User interface.
3. Very secure as access it based on permission based model. There are various levels of access like member, owner etc.
4. One of the things that I loved was intergration with CI/CD pipelines. It saves additional effort from developers, runs pipelines such as tests and add validation conditons on those pipelines.
5. Always use this for my professional work