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.
Imagine you’re driving a car, but there’s no windshield. You can’t see in front of you. On top of that, your car is full of friends looking out the side windows and yelling various things to you: “We should turn left!” “No, we should turn right!” “I’m pretty sure the next turn is in two miles.” In this scenario, how likely are you to reach your destination instead of ending up in a ditch or careening off a bridge?
If you’ve been writing code for any reasonable amount of time, then it’s virtually impossible that you haven’t handled logging in any way, since it’s one of the most essential parts of modern, “real life” app development. If you’re a .NET developer, then you’ve probably used some of the many famous logging frameworks available for use at this platform. Today’s post will cover one of these frameworks: log4net.
The software development life cycle (SDLC) started to become a formalized process for software development in the 1960s. That’s pretty much when software systems started to exist. With its loosely defined development phases, the SDLC has become a software development term that gets a lot of people talking. The SDLC, however, is more of an acronym packed with meaning than a specification or framework for software development.
Managing an application’s performance, and specifically keeping it in good condition, is one of the hardest challenges in software development. That’s true for virtually any programming language and platform. Java is no exception to this rule. But beyond that, Java also presents some unique challenges of its own.
DevOps is a tech industry buzzword that refers to the collaboration of a software development team and operations teams within a company. The results are a Development + Operations team, a DevOps team. While it’s a buzzword, it also represents a new shift left standard that’s starting to take hold in the software development industry.
Equality is an essential concept when programming, not only in Java but in pretty much all programming languages. After all, much of what we do when writing code has to do with comparing values and then making decisions based on the results of such comparisons.
Chef and Puppet are two popular tools for configuration management. These type of tools help engineers to maintain a consistent configuration in all servers. For instance, all servers might need to have IIS with a binding to port 443 for HTTPS access and the respective firewall rule for inbound traffic. More importantly, if anyone removes the firewall rule, these type of tools will keep consistency by creating the firewall rule again.
Need help on how to monitor IIS? This guide covers the basics, including HTTP ping checks, IIS Application Pools, and important Windows Performance Counters. We’ll also take a look at how to use an application performance management system to simplify all of this and get more advanced IIS performance monitoring for ASP.NET applications.
An optimized DevOps process flow is vital for DevOps teams. It allows for seamless development and operations integration through the implementation of the CICD pipeline for development, deployment, and feedback.
