Operations | Monitoring | ITSM | DevOps | Cloud

Java License Monitoring - Why you need to monitor your Java licenses and how to do so

Java license monitoring has now become an essential requirement for many organizations as Oracle’s recent licensing changes have made compliance mandatory, with increased risks of audits and higher Java licensing compliance costs. Once a free programming platform, Java now requires navigating a complex licensing framework, including employee-based models that tie costs to the size of a workforce. These changes significantly increase the risk of unbudgeted expenses for licensing violations.

JVM Metrics: A Complete Guide for Performance Monitoring

Your Java app slows down during peak load. A microservice crashes, but logs aren’t helpful. These aren’t rare events—they’re common signs something’s off inside the JVM. For Java developers and DevOps teams, JVM metrics offer clues to what’s going on. This blog covers the key metrics to track, what they tell you, and how to use them to troubleshoot performance issues in a practical, no-nonsense way.

5 Costly Mistakes to Avoid When Outsourcing Java Development

Java has been around for nearly three decades. And it's still one of the most in-demand programming languages in the world. Businesses often need enterprise applications, cloud platforms, and mobile apps. For this, they rely on Java software development services to build secure, scalable solutions. To keep with this growing demand, many companies now outsource Java development. It makes sense. Outsourcing offers access to a larger talent pool, faster delivery cycles, and lower costs compared to hiring and training in-house teams.

Troubleshooting Java Applications with Coroot

Java applications run on top of the JVM — a powerful but complex runtime environment that re-implements many OS features. It has its own memory management, garbage collector, and dynamic code compiler (JIT). While these features help with performance and portability, they often make troubleshooting a real challenge. At Coroot, we recently improved our support for continuous profiling in JVM-based applications.

How to create and monitor an AWS Lambda function in Java 11

Serverless computing is a modern cloud-based application architecture in which the application’s infrastructure and support services layer are completely abstracted from the software layer. While every application still relies on physical servers to run, serverless applications shift that responsibility to cloud service providers like Amazon Web Services (AWS).

Java Util Logging Configuration: A Practical Guide for DevOps & SREs

Setting up proper logging is like having a good navigation system when you're driving through unfamiliar territory. For DevOps engineers and SREs managing Java applications, understanding how to configure the built-in java.util.logging framework is essential knowledge that can save you hours of troubleshooting headaches. Let's break down java util logging configuration in a way that makes sense — no fancy jargon, we promise!

Easiest Way to Monitor Your Java Application Using OpenTelemetry

When you're running a Java application, the JVM is doing a ton of work behind the scenes but unless you're actively collecting its internal metrics, you're essentially flying blind. Fortunately, the JMX Prometheus Receiver paired with the JMX Java Exporter Agent offers one of the simplest and most effective ways to expose JVM performance data.

How to Monitor JVM with OpenTelemetry and MetricFire

When you're running a Java application, the JVM is doing a ton of work behind the scenes but unless you're monitoring those internals, it's hard to know how your app is really performing. JVM metrics give you a window into the heart of the runtime: how much memory you're using, how often garbage collection is kicking in, how many threads are active, and where potential bottlenecks might be hiding.

Identifying and fixing deadlocks in Java

A deadlock occurs when two or more threads are continuously blocked after waiting for the same resources. In other words, Thread A is waiting for a resource held by Thread B, while Thread B is also waiting for a resource held by Thread A. This creates a loop of blocking, causing the application to become unresponsive.