GitLab vs. IBM Z IntelliMagic Vision

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.

Incentivized

IntelliMagic Vision for z/OS is perfect for just about any after-the-fact analysis that I have tried to use it for. Sometimes it doesn't provide support for the latest SMF fields, but that is the nature of SMF data analysis - it is impossible to keep up with the rate at which new SMF fields are added. Combine that with the fact that the description of new fields is often poor, and it is amazing that IntelliMagic Vision for z/OS is as up-to-date as it is. I think that less experienced users might benefit from material that more clearly differentiates products like IntelliMagic Vision for z/OS, which feed off SMF data, and products like Omegamon, which report in real-time contents of various system control blocks.

• GitLab excels in managing code versions, allowing easy tracking of changes, branch management, and merging contributions.
• It helps maintain code stability and reliability, saving time and effort in the development or research workflow.
• Powerful code review features, enabling collaboration and feedback among team members.
• Robust project management features, including issue tracking, kanban boards, and milestones.

Incentivized

• IntelliMagic Vision for z/OS is easy to use for beginners and experts.
• Search and drill down helps to find overview and deep dive.
• IntelliMagic has implemented expert knowledge into Vision and the rating of the report is really helpful.
• Predefined reports can be modified very easily and individually adapted reports (replacement of old SAS programs) are also possible without any problems

• CI variables management is sometimes hard to use, for example, with File type variables. The scope of each variable is also hard to guess.
• Access Token: there are too many types (Personal, Project, global..), and it is hard to identify the scope and where it comes from once created.
• Runners: auto-scaled runners are for the moment hard to put in place, and monitoring is not easy.

Incentivized

• The voluminous data is a challenge for all tools. As always, improved response time is always appreciated.
• I really appreciate reading the descriptions and field descriptions that are provided with the screens. All additional elaborations will be appreciated.
• Monthly trending and cyclical pattern detection

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

Incentivized

In comparison to other products (even on IBM Z), IntelliMagic Vision for z/OS is really RAS (reliability, availability, and serviceability). The GUI is really stable; analyze/reduce jobs with detailed diagnostics; restart functions with Automator

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!

Incentivized

with more than 12 years of experience in Mainframe performance tuning and analysis, it was much easier to translate and understand the tool. New college grads without Mainframe exposure struggled a bit to connect the dots, it might be good to have a recording from IM to go through mainframe basics before the staff start to use the tool covering mainframe concepts than tool itself.

Incentivized

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

Incentivized

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

Incentivized

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

Incentivized

Really highly skilled IntelliMagic team:

• Head of IntelliMagic (Gilbert Houtekamer, Els Das and Jean-Marc van der Kolk)
• Account manager DACH/Europe local support team ...

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.

Incentivized

These are the legacy products that have been used for capacity/performance/billing and report generation over many years. Some are better suited for solutions using programmatic interfaces ( internal billing ), and processing IMS transactional data in particular. For most tasks, however, Vision can generate charts, provide levels of drill-down, allow a focus on analysis rather than report generation, much faster with greater reliability and less required training than the above products

Incentivized

I think is very well designed, and like any VCS it works as intended

Incentivized

• GitLab cut down our spent on container, package and infrastructure registry
• Best thing is we can now have everything in single platform which cost effective too
• Quality of support is really good and they do have emergency support team as well which is great

Incentivized

• Based on data from Vision, we have not had to expand the hardware this year.
• Any expansion of hardware in the coming years can be well supported by figures from Vision.