Operations | Monitoring | ITSM | DevOps | Cloud

Exception monitoring in Java plays a vital role in Java application performance monitoring by providing real-time insights into the health and stability of the application. Java is now the backbone of many critical and complex business applications in sectors such as banking, healthcare, finance, retail, and e-commerce. The complexity of these systems is also compounded by the fact that they involve distributed Java microservices that communicate across various layers.

With the upcoming release of JDK 23, there are some significant changes in locale information that will affect Elasticsearch and how you ingest and format datetime data. Firstly, a bit of background.

Java is a popular programming language, developed almost 30 years ago by Sun Microsystems, based on the main theory of ‘write once, run anywhere’ (WORA). Due to Java having been around for a long time, numerous learning resources are available for new developers which further adds to its popularity. Also, Java code can operate on any underlying platform like Windows, Linux, iOS, or Android without rewriting.

This guest post comes from long-time Raygun customer Midtrans, a leading payment gateway in Southeast Asia. As Midtrans grew, so did the number of applications requiring error monitoring. To tackle the challenges of scaling and standardizing Raygun across multiple teams and services, they created a custom Spring Boot starter for Raygun. Now, Midtrans is excited to share this open-source Spring Boot auto-configuration with the community.

Developing web-based applications often requires a robust, scalable, and efficient database solution that can handle dynamic data needs. Azure SQL Server provides developers with a cloud-based platform that fulfills these requirements. By combining Azure SQL Server with modern web development technologies, developers can build powerful, data-driven web applications that offer distinctive user experiences.

The Java Virtual Machine (JVM) is an important part of the Java programming language, allowing applications to run on any device with the JVM, regardless of the hardware and operating system. It interprets Java bytecode and manages memory, garbage collection, and performance optimization to ensure smooth execution and scalability. Effective JVM monitoring is critical for performance and stability. This is where OpenTelemetry comes into play.

In the fast-paced world of software development, efficiency is everything. Developers are constantly under pressure to keep up with rapid technological changes, unclear requirements, and tight deadlines. With the demand for skilled developers rapidly increasing and projected to grow by 22% by 2029 in the US alone , finding ways to enhance productivity and streamline workflows can provide a much-needed relief, making the difference between delivering a project on time or spending long nights debugging.

As Elastic continues its commitment to OpenTelemetry (OTel), we are excited to announce the Elastic distribution of the OTel Java Agent. In this blog post, we will explore the rationale behind our unique distribution, detailing the powerful additional features it brings to the table. We will provide an overview of how these enhancements can be utilized with our distribution, the standard OTel SDK, or the vanilla OTel Java agent.