GitLab vs. OpenText UFT One

In general it's a good product with a huge number of features. It can do CI/CD checks, deployment, repo hosting, integrations etc. A lot of it can be managed from just the UI but also has an ok API. It does tend to release new features semi-often too which is nice. It can have a steep learning curve for certain features so not a starter-friendly vendor, but great for most businesses.

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UFT is well suited if the price is not an issue, and if the requirement is about testing different technologies. If the application is based on Legacy platforms like Siebel or Mainframe, UFT fares quite well. For low cost web-based projects, there are other cheap and open source tools available. If it is about API testing or Mobile Testing, it is better to use other tools like TOSCA.

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• 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.

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• The simple front end will allow novice users to easily grasp the basics of automation and give them confidence to try things for themselves.
• UFT can scale up and run across multiple machines from a single controller, such as ALM, enabling hundreds of tests to be executed overnight.
• There is an active support community out there, both official HPE based and independent users. This means if you do encounter a problem there is always someone out there to help you.
• The later versions have many add-ins to plug in to other tools within the QA world.
• Expert users are able to utilise the many native functions and also build their own to get the most out of the tool and impress people as they walk past and see the magic happening on the screen.
• UFT also has LeanFT bundled with it, allowing automated testing at the api level - if you can convince the developers to let you in there.

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• 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.

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• Its licensing cost is very high making it a very expensive tool. due to this many organisations are exploring options of license free tools like Selenium for automation. Though learning curve is large in case of Selenium but it is very cost effective & you an get lot of support online for Selenium.
• Though the scripting time is less since its easy to create automation scripts, the execution time is relatively higher as it takes the lot of CPU & RAM.
• Though UFT is quite stable but during long execution cycles we do get frequent browser crashing issues.
• In terms of costing TestComplete is also one option which is not free but comes with modular pricing. You can buy what you need, when you need.

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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

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- As a combination of features and products, GitLab is a really great tool for developers. - Also, it comes with both light and quick changes in a web browser version, as well as pro work in VS Code mode. However, in certain areas, such as large-scale issues/incidents, management can be improved.

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The ui is clean but there are lots of setting snd options which one must be fully aware so it will aid him/her during scripting

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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

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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

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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

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HPE are quick to reply and it's possible to get through to the actual developers shuold the case warrent it. Their online system allows updates and tracking of all incedents raised.

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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.

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1. It works solid for automate SAP and S/4 Hana applications and Fiori too. 2. Teams are well versed about UFT One 3. Able to handle maintained execution results 4. Publish Automation execution results in well manner to the leadership team/stake holders 5. More help content available 6. Able to understand non technical resources about normal view.

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

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• 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

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• Reduces the total workload of keeping the team to test older (regression) functionality. QA testers can concentrate on ad-hoc and exploratory testing, saving time and effort across the entire project.
• Has built a better infrastructure for the client applications on which we can rely on for stability and providing regression results for any new features being developed.
• Led the applications a step closer to implementing agile practices and DevOps across the entire organization. Thus, providing a better turnaround time of new features to the customers and less maintenance headaches for the BAU team to address.

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