Related Content
 |
Software Features to Avoid in a Production Environment When developing an application, it’s best practice not to use certain software features in a production environment. These include features related to programming language, the OS, the database, a framework, a web or application server, or a tool. You have to consider the production setup to avoid bugs or server crashes. |
|
 |
Team Agility in a Post-Pandemic World COVID-19 has necessitated entirely remote environments, and people the world over have had to inspect their foundations of working, adapt to a new way of remote execution, and integrate their personal and professional lives more than before. Organizational leaders need to embrace a new outlook in four critical areas. |
|
 |
Is It Really ‘Us vs. Them’? Teams often view executives as being "against" them and making decisions that are clueless at best or nefarious at worst. Usually, neither is the case, but there's no way of knowing true motivations if there's no discussion. Teams and directors need to repair their communication rift. This is a tale of two perspectives. |
|
 |
The Real Value of Cross-Functional Agile Teams Agile teams know that cross-functional collaboration is central to the methodology, but there are often barriers to fully embracing this idea. If teams are used to handoffs, it may seem like it makes sense to maintain the status quo. Try collaborating on something small to realize the true value of cross-functional teams. |
|
 |
Lessons the Software Community Must Take from the Pandemic Due to COVID-19, organizations of all types have had to implement continuity plans within an unreasonably short amount of time. These live experiments in agility have shaken up our industry, but it's also taught us a lot of invaluable lessons about digital transformation, cybersecurity, performance engineering, and more. |
|
 |
5 Pitfalls to Avoid When Developing AI Tools Developing a tool that runs on artificial intelligence is mostly about training a machine with data. But you can’t just feed it information and expect AI to wave a magic wand and produce results. The type of data sets you use and how you use them to train the tool are important. Here are five pitfalls to be wary of. |
|
 |
Code Integration: When Moving Slowly Actually Has More Risk Many decisions about code branching models are made in the name of managing risk, and teams sometimes pick models that make integration harder in the name of safety. Moving slowly and placing barriers to change can seem safer, but agile teams work best when they acknowledge that there is also risk in deferring change. |
|
 |
Choosing the Right Threat Modeling Methodology Threat modeling has transitioned from a theoretical concept into an IT security best practice. Choosing the right methodology is a combination of finding what works for your SDLC maturity and ensuring it results in the desired outputs. Let’s look at four different methodologies and assess their strengths and weaknesses. |
