Operations | Monitoring | ITSM | DevOps | Cloud

In this post, we’ll be delving into Java performance optimization, providing you with essential tips to write faster and more efficient code. If you’re reading this, you’re probably already aware of the importance of performance engineering and the need to optimize your code to ensure speed for all users, but even the most seasoned and performance-aware programmers can get tripped up.

Consider the scenario – You are an SRE (Site Reliability Engineer) joining a team to take charge of their Java applications. It has been reported that a Java application is very flaky in terms of memory issues.

Any software application or a system can have bugs and issues in testing or production environments. Therefore, logging is essential to help troubleshoot issues easily and introduce fixes on time. However, logging is useful only if it provides the required information from the log messages without adversely impacting the system’s performance. Traditionally, implementing logging that satisfies these criteria in Java applications was a tedious process.

Monitoring and troubleshooting distributed systems like those built with microservices is challenging. Traditional monitoring tools struggle with distributed systems as they were made for a single component. Distributed tracing solves this problem by tracking a transaction across components. In this article, we will implement distributed tracing for a Java Spring Boot application with three microservices.

Java is a class-based object-oriented programming (OOP) language built around the concept of objects. OOP concepts are intended to improve code readability and reusability by defining how to structure your Java program efficiently. There are seven core principles of object-oriented programming, as follows.

When you are building an application with Java (or any other language, for that matter), there are certain aspects that you need to monitor constantly. This monitoring helps a long way in retaining your product's marketability and improving customer satisfaction.

Learn how to produce and consume records with Apache Kafka Java client library.

Table of Contents When an application written for the Java Virtual Machine is running, it constantly creates new objects and puts them on the heap. Well, at least in the vast majority of the cases. Such objects can have a longer or shorter life, but at some point, they stopped being referenced from the code. Unlike languages like C/C++, we don’t have exact control over when the memory will be freed – freeing the memory is the garbage collector’s job.

The Java Management Extensions (JMX) framework is a Java technology that includes tools for managing and monitoring applications, system objects, and service-oriented networks. The JMX framework is designed to simplify the management of local and remote Java applications. The JMX framework introduces the concept of MBeans for real-time management of applications, whereby resources are represented by objects called MBeans (Managed Beans).