Imagine, you are developing Java software and suddenly you encounter an error? Where could you have possibly gone wrong? There are many types of errors that you will encounter while developing Java software, but most are avoidable. Some errors are minor lapses when writing codes but that is very much mendable. If you have an error monitoring tool such as Stackify Retrace, you can write codes with ease.
Troubleshooting issues in your applications can be a complicated task requiring visibility into various components. In the worst-case scenario, to understand what is happening and why it is happening you will need metrics, logs, and traces combined together. Having that information will give you the possibility to slice and dice the data and get to the root cause efficiently. In this article, we will focus on logs and how to configure logging for your Java applications.
Logging is a crucial part of the observability of your Java applications. Combined with metrics and traces gives full observability into the application behavior and is invaluable when troubleshooting. Logs, combined with metrics shortens the time needed to find the root cause and allows for quick and efficient resolutions of problems.
When it comes to troubleshooting application performance, the more information you have the better. Logs combined with metrics and traces give you full visibility into your Java applications. Logging in your Java applications can be achieved in multiple ways – for example, you can just write data to a file, but there are far better ways on how to do that, as we explained in our Java logging tutorial.
One of the most commonly used functionalities for String objects in Java is String replace. With replace(), you can replace an occurrence of a Character or String literal with another Character or String literal. You might use the String.replace() method in situations like: In Java, keep in mind that String objects are immutable, which means the object cannot be changed once it’s created.
It’s easy to get started with Java and Honeycomb using OpenTelemetry. With Honeycomb being a big supporter of the OpenTelemetry initiative, all it takes is a few parameters to get your data in. In this post, I will walk through setting up a demo app with the OpenTelemetry Java agent and show how I was able to get rich details with little work by combining automatic instrumentation from the agent with custom instrumentation in the code.
At LogicMonitor, we deal primarily with large quantities of time series data. Our backend infrastructure processes billions of metrics, events, and configurations daily. In previous blogs, we discussed our transition from monolith to microservice. We also explained why we chose Quarkus as our microservices framework for our Java-based microservices. In this blog we will cover.
Every Java developer should follow coding standards and best practices to develop secure Java code. It is critical your code is not vulnerable to exploits or malicious attacks. In recent times, even big organizations like eBay, the CIA, and the IRS have fallen victim to vulnerabilities in their applications that have been discovered and exploited by attackers. The following guidelines provide a solid foundation for writing secure Java code and applications.
