The world of work is constantly changing. Agile work processes in particular are becoming increasingly popular. Even large companies are trying to introduce agile working methods. For many, the Scaled Agile Framework (SAFe) is the right solution for their agile teams. However, implementing SAFe with all its features such as providing reports, visualizing dependencies and automated documentation is not always easy in reality. Many companies spend a lot of time and money searching for the right…
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GitLab
Score 8.7 out of 10
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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…
Agile Hive is used for our value train within a SAFe setup. Every quarter we organize a so-called Product Increment (PI) Planning, where we plan all Features and Enablers in Agile Hive. Based on the priority of the Product Manager all teams plan their Features and Enablers accordingly to the sprints that are determined by the Release Train Engineer and set up in Agile Hive. The teams then create User Stories and estimate them and based on their sprint velocity (defined in Agile Hive) Product Owners can see how many Features and Enablers are realistic in one quarter (Product Increment). Further, dependencies across teams can be defined and made visible in Agile Hive, so that the plan is feasible. Without Agile Hive it would be hard or impossible to plan across several teams within a value train and to manage all dependencies. Additionally, with Agile Hive the plan is more realistic, so what can be achieved within one quarter in product development.
GitLab is good if you work a lot with code and do complex repository actions. It gives you a very good overview of what were the states of your branches and the files in them at different stages in time. It's also way easier and more efficient to write pipelines for CI\CD. It's easier to read and it's easier to write them. It takes fewer clicks to achieve the same things with GitLab than it does for competitor products.
Gitlab is the best in its segment. They have a free version, they have open-source software, they provide a good service with their SaaS product, they are a fully-remote company since the beginning (which means they are fully distributed and have forward-thinking IMO). I would certainly recommend them to everyone.
It has in general a good usability, but there are some downsides, the big picture view of the entire product increment is too static, so there is no zoom in or zoom out. Mostly throughout planning it is necessary to zoom in to a sprint level and manage the user stories there. Also, the pig picture view has some limitations, because you cannot read the entire user story name (boxes are too small).
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!
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
With Jira Software alone it is also possible to plan a SAFe product increment planning, but it would be nearly impossible to see the overall big picture of all product teams involved in a release train. So, the planning on sprint level for one team would be more efficient, but the planning for a whole quarter with all dependencies across teams would be not feasible to present. Therefore, Agile SAFe enables value trains an efficient way to plan a product increment.
Gitlab seems more cutting-edge than GitHub; however, its AI tools are not yet as mature as those of CoPilot. It feels like the next-generation product, so as we selected a tool for our startup, we decided to invest in the disruptor in the space. While there are fewer out-of-the-box templates for Gitlab, we have never discovered a lack of feature parity.