Operations | Monitoring | ITSM | DevOps | Cloud

Java agents are a special type of class which, by using the Java Instrumentation API, can intercept applications running on the JVM, modifying their bytecode. Java agents aren’t a new piece of technology. On the contrary, they’ve existed since Java 5. But even after all of this time, many developers still have misconceptions about this feature—and others don’t even know about it. In this post, we remedy this situation by giving you a quick guide on Java agents.

Many things in programming sound like they should be easy, but are quite hard. Calculating elapsed time in Java is one of those. How hard could that be? As it turns out, it can be tricky. For starters, we have the fact that time itself is a tricky concept. For a quick example, remember that many places around the world observe Daylight Savings Time. Failing to take DST into account when you should, can and often does result in incorrect calculations.

One challenge for developers beginning a new project is choosing between monolithic and microservice architecture. According to Camunda research, 63% of enterprise level companies have taken steps to apply microservice architecture. Let’s take a closer look at the benefits and implementation of microservice architecture and why enterprise level companies, like Amazon, Netflix, and Uber, are choosing this architecture over traditional monolithic architecture?

In current development, Object Oriented Programming has proven more popular than its predecessor Functional Programming. Functional Programming was developed before Object Oriented Programming, with support for Lisp, Clojure, Wolfram, Erlang, Haskel, F#, and R. Object Oriented Programming is more modern with support for C++, C#, Java, Python, Ruby. PHP, Perl, Objective-C, Swift, and Dart.

People who are new to hosting web apps on IIS (Internet Information Services) sometimes struggle with the concept of application pools. What is an IIS application pool? What purpose does it serve? In this post, we’ll answer these questions—and more. We’ll begin by offering a brief introduction to IIS itself. If you’re already well acquainted with this piece of software, then the first section isn’t for you; feel free to skip it.

.NET Profilers are a developer’s best friend when it comes to optimizing application performance. They are especially critical when doing low level CPU and memory optimizations. But did you know that there are three different types of profilers? All are very valuable but serve relatively different purposes and different types of performance profiling. Let’s explore the different types.

Digitalization is sweeping across many industries, creating a huge need for innovation. This innovation forces companies to be more agile and deliver faster. However, increasing the speed of your development team doesn’t happen by magic. It’s a metric that isn’t easy to change. How can you adjust to this fast-paced digitalization? I want to introduce you to DevOps.

Have you heard the saying “you can’t manage what you can’t measure?” The phrase is often attributed to management thinker Peter Drucker, and less often to other authors as well. It can also slightly vary in its wording, depending on the source. At the end of the day, the exact wording of the sayer and who said it first doesn’t matter as much as whether it’s true or not. We’re here to tell you that yes, it’s true for a lot of things in life.

Over the last decade, DevOps has become an important part of software engineering culture, influenced by the wide adoption of microservices, containers and cloud computing. A recent step in the evolution of cloud-based and microservice architecture is the serverless computing – a code execution model where the cloud provider takes total responsibility for the operating system and hardware management.

Debugging performance issues in production can be a pain and, in some cases, impossible without the right tools. Java profilers have been around forever, but the profilers most developers think about are only one type: standard JVM profilers. However, using one type of profiler is not enough. Suppose you’re analyzing your application’s performance. There are multiple profiling activities which you may execute.