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2 Familiar Problems for Software Developers In the quest for writing good code and delivering the right thing to customers, developers have several challenges. But most of them can be boiled down to two main problems: discovering the real scope, and how to do the work. Interestingly, they’re very similar to the problems faced by testers and others in non-dev roles. |
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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. |
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Ditch Your Logs for Better Monitoring Metrics Many teams use logs to track the behavior of applications, services, or platforms. But how actionable is that log data? There are better ways to parse that information and make it more visible, more useful, and easier to understand. Try converting your logs into metrics for a faster and more lightweight monitoring system. |
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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. |
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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. |
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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. |
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Fearless Refactoring, Not Reckless Refactoring Fearless refactoring is the agile concept that a developer should be able to incrementally change code without worrying about breaking it. But it's not believing that you don't need a safety net to detect and correct defects quickly when changes are made—that's just reckless. Here's how to avoid reckless refactoring. |
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Comparing XML and JSON: What’s the Difference? XML (Extensible Markup Language) and JSON (JavaScript Object Notation) are the two most common formats for data interchange. Although either can be used to receive data from a web server, there are differences that set them apart. Here are the abilities and support for each option so you can choose what works for you. |
