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Product lifecycle management is all about the dynamics between requirements and their fulfilment (e.g., the ability to test and prove that a requirement is fully covered, as defined during the product planning phase). Understanding this relationship, and respecting it unconditionally, allows great products to achieve world-class quality and stability. For the majority of products, the combination of people, processes, and technology is triggering different forms of changes to the original plan.

Version control has become a critical tool for both developers and designers. And if you’re looking to create an expansive new world filled with complex 3D characters, you are probably looking at Maya. But what Maya version control system is best for creatives?

DevOps organizations continually look for ways to accelerate DevOps productivity and expedite their time to market. Without the right integrated tools, this can be rather challenging. Read along or jump to the section that interests you most.

In our latest tools guide, we wanted to gather insights from a number of real users of these two giants in the Git & version control space to help you decide between using Github or Gitlab for your latest software development project. “GitHub is a common and easy-to-use website to host code in a way that's shareable with a large number of people”, states Melanie, Content Director at KitelyTech.

Full traceability is critical for many organizations, particularly those who need to meet regulatory compliance in their industry or minimize risk. In this blog, we discuss the importance of traceability by examining four real examples of where a lack of traceability caused issues for organizations, in some cases proving very costly. Related blog >> What Is Traceability?

In previous posts, we covered the basics of a C++ Microservices deployment including: With those basics in place, this blog will focus on optimization of the container in a C++ Microservices deployment. We'll examine how to structure the Dockerfile and the resulting Docker image to reduce the number of layers and disk space used.

When the world went remote, studios needed to limit the number of people on set. To support the shift to remote work, teams needed to learn and implement new software tools. Game technology — like Unreal Engine and Unity — were powerful enough to meet the demands for this rapidly changing industry. But what else does a virtual production setup need?

When it comes to learning a new software, there are often more questions than answers. Getting started, setting up your environment, and learning how and when to use the tool are just the beginning. To top it off, many of us now work from home with limited access to our teams. Don’t worry, we’ve got you covered. Listed below are the top questions that have come through our customer care center over the last few months, as well as the solutions. Don’t see your question?

As you may or may not know, Atlassian is accelerating their Journey to the Cloud. This has some important implications to anyone who uses Atlassian Server based products, including apps. Read on to learn how we support customers of Zephyr for Jira and Zephyr Scale as they transition to Cloud.

By now you've heard that Atlassian is deprecating its server products. For Jira users who cannot or do not want to move to the Cloud, this is troubling news. Data Center is an option, but it's quite an expensive alternative if you do not need its minimum 500 users. Then again, it's quite disruptive to migrate to a new tool, isn't it? No one wants to interrupt their workflow by changing tools — especially one that is so central to daily operations. But it does not have to be so scary.