Real user monitoring (RUM) began as a straightforward approach to tracking basic web performance metrics. Focused on things like page load times and response rates, RUM relied on server-side logging and simple browser timings. While these tools captured Core Web Vitals (CWVs), they offered limited insights into how users actually interacted with pages, focused mainly on server-side performance.

Logs are the notetakers for your Java application. In a meeting, you might take notes so that you can remember important details later. Your Java logs do the same thing for your application. They document important information about the application’s ability to function and problems that keep it from working as intended. Logs give you information to help fix coding errors, but they also give your end users information that helps them monitor performance and security.

In this post, we dig into the impacts from Hurricane Helene which came ashore late last month wreaking destruction and severe flooding in the Southeastern United States. Using Kentik’s traffic data as well as Georgia Tech’s IODA, we detail the impacts in three of the hardest-hit states: Georgia, South Carolina, and North Carolina.

Aiven for Metrics, a Prometheus compatible solution powered by Thanos, is now generally available. Last month, we announced the early availability of Aiven for Metrics, and as of today it is generally available!

Organizations across the globe are seeing rapid growth in the technologies they use every day. And while the healthcare industry has always been slow to adopt, they are quickly starting to benefit from the role new technologies play in enhancing patient care and operational efficiency. However, one major setback for healthcare SMBs when investing in advanced technology is working out how they are going to keep up with cybersecurity, performance, and management of these IT solutions.

Businesses heavily rely on IT Service Management (ITSM) platforms to ensure the smooth functioning of critical services. While these platforms offer excellent incident management capabilities—tracking, organizing, and reporting incidents—they often fall short when it comes to fast, reliable resolution. Enter incident resolution automation, a game-changer in optimizing ITSM investments.

To understand the challenges facing modern IT teams in managing a diverse range of endpoints, one word that keeps coming up? Proliferation. Organizations are faced with a rapidly expanding ecosystem of network devices, tools and assets–some of which are so hidden from view that IT doesn’t even realize they exist.

As a straightforward definition, AI inference is the process of applying a pre-trained machine learning model to new, unseen data in order to generate predictions, classifications, or decisions. Unlike the training phase, where the model learns from a dataset, inference involves utilizing the learned patterns to analyze and interpret new inputs.

As many of you have already seen in our previous blog posts and our early beta release, we’re working on a new, independent notification module. Right now, we only offer three ready-made channels for sending notifications. Today, I want to show you how you can create your own channel and add it to the Icinga Notifications module. In this blog post, I’ll show you how to build a bridge to Telegram and send new notifications to a group chat.