Operations | Monitoring | ITSM | DevOps | Cloud

Java

Elastic's contribution: Invokedynamic in the OpenTelemetry Java agent

As the second largest and active Cloud Native Computing Foundation (CNCF) project, OpenTelemetry is well on its way to becoming the ubiquitous, unified standard and framework for observability. OpenTelemetry owes this success to its comprehensive and feature-rich toolset that allows users to retrieve valuable observability data from their applications with low effort. The OpenTelemetry Java agent is one of the most mature and feature-rich components in OpenTelemetry’s ecosystem.

Automate deployment of Java Spring Boot apps to AWS Elastic Beanstalk

The benefits of automating deployments for your Java Spring Boot application are undoubtable. Not only is it possible to set up images and run tests or compatibility checks before updating the production environment, but CI/CD providers like CircleCI take a step further by streamlining the entire delivery process from code changes to deployment. Many teams assume that the specifics of their development stack or deployment process will make automation difficult to achieve.

Deploying Java Spring Boot with OpenTelemetry Faster than Docker Build

In our journeys as developers, we frequently encounter the need for speed and efficiency. But often, integrating development tools can feel like a time-consuming venture, more so than our usual build processes. If you’ve ever found yourself delving into java logs looking for needles in logstacks, you’ll appreciate the beauty of this 1-click OpenTelemetry.

What is Apache Tomcat server and how does it work?

Apache Tomcat, developed by Sun Systems way back in the late 1990s, is a popular choice for developers who need to build and deploy Java-based web applications. It’s a collaboratively created platform that, since 2005, has become an accredited top-level Apache project with highly experienced developers volunteering support and resources for it. A 2022 survey shows that 48% of developers now utilize Apache Tomcat for deploying Java web applications.

Introducing the Prometheus Java client 1.0.0

PromCon, the annual Prometheus community conference, is around the corner, and this year I’ll have exciting news to share from the Prometheus Java community: The highly anticipated 1.0.0 version of the Prometheus Java client library is here! At Grafana Labs, we’re big proponents of Prometheus. And as a maintainer of the Prometheus Java client library, I highly appreciate the support, as it helps us to drive innovation in the Prometheus community.

How to Manually Instrument Java with OpenTelemetry (Part 1)

In this tutorial, we'll be diving into the world of OpenTelemetry and its application in Java. We'll take you step-by-step through the process of manually instrumenting a Spring Boot application.OpenTelemetry is an observability framework for cloud-native software and a powerful tool for capturing distributed traces and metrics from your application. This video will equip you with the knowledge and practical skills to utilize OpenTelemetry effectively and take your application monitoring to the next level.

How to Manually Instrument Java with OpenTelemetry (Part 2)

Part 2 video on OpenTelemetry (Otel) Instrumentation for Java is out now! Building upon the solid foundation we set in the first video, this installment takes a deep dive into the realm of backend calls, with a particular focus on Redis databases. We'll also explore the power and utility of the Tracing Filter - an essential tool for efficient monitoring and troubleshooting in distributed systems.

Manual instrumentation of Java applications with OpenTelemetry

In the fast-paced universe of software development, especially in the cloud-native realm, DevOps and SRE teams are increasingly emerging as essential partners in application stability and growth. DevOps engineers continuously optimize software delivery, while SRE teams act as the stewards of application reliability, scalability, and top-tier performance. The challenge?

Maximizing Java Application Performance - Configuration and Tuning Tips

In the past, there was a persistent misconception that Java was slow compared to other programming languages. But this idea comes from a time when Java was just starting out. Back then, Java did have some problems that made it seem slow. For example, it took a long time for Java programs to start running, and the way Java made user interfaces for applications was not very fast. But things have changed a lot since then. Hence, the outdated belief that Java is slow is exactly that – outdated.