Take a look at your application as it runs on your server or the cloud. You’re so proud of it. Admire it as it’s processing data, interacting with the user, and doing magical things. You should be very proud of it- you wrote a lot of code to make it happen. But, honestly, how much of the code in your application is your code?

In a recent blog post, one of my teammates, Josh, shared a few techniques for deploying Java agents in Kubernetes applications. We have been getting a lot of interest in the concepts we have shared and, per popular request, decided to raise the bar. Is it possible to add a Java agent without changing a single line in either the Dockerfile or the Kubernetes Manifest? Well, the answer is most definitely yes (!), and here’s how.

Even the systems that run smoothly day and night, can flounder when short of memory. Efficient memory usage has become of utmost importance for software applications. Nowadays, with growing audiences and faster speed and data retrieval expectations, memory issues pose a huge threat to performance and can lead to huge losses in terms of customers and money. Therefore, it is very important to build memory-efficient applications that ensure overall performance and a smooth customer experience.

To kick off our series on debugging for software developers, we tell you how to build breakpoints step by step using Xcode and breakpoint Android Studio to isolate key information about your app’s performance, and save crucial time during the process.

In the world of software development, there’s no such thing as writing perfect code. As such, almost every software developer ends up spending a great deal of their time debugging code. Therefore, one of the best ways to increase your efficiency as a developer is to have the ability to locate errors, identify the root cause, and fix it to resolve problems in your codebase.

Over the last few years, we have seen an avalanche of tools to enable easier software development on Kubernetes (let’s face it, it is quite hard out of the box). As often happens in growing ecosystems, some tools grow and adapt, while others get left behind, or at the very least, merged into new offerings. What’s a better way to open 2021 than with an up-to-date review of the options we have?

I have been managing R&D teams for the past 14 years or so and have learned many lessons along the way. Some of the best lessons have come about in the moment when your software meets the real world and you find that you need to debug remotely. Part of them were learned from my own battle scars and some were taught to me by my peers and employees.

As organizations place focus on innovation and digital transformation across enterprise IT, we continue to see increased adoption of containers and microservice application development patterns. Containers have brought developers new levels of flexibility and portability, but oftentimes still leave developers with questions about the best way to configure and build those containers.