Operations | Monitoring | ITSM | DevOps | Cloud

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An Introduction to AI Inference

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.

Icinga Notifications: Custom Channel Plugins

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.

Measuring Largest Contentful Paint with Request Metrics

Measuring Largest Contentful Paint (LCP) is important because it helps you understand how quickly the main content of a web page loads and becomes visible to users. LCP focuses on when the largest visible element—like a hero image, heading, or video—renders in the viewport, making it a key indicator of perceived load speed. Optimizing for LCP ensures faster, smoother interactions, enhancing both user satisfaction and search engine ranking. Let's see how you can get to the bottom of any LCP problems in Request Metrics!

The New Era of Everywhere Work: Challenges, Impact and Future Trends

The New Era of Everywhere Work: Challenges, Impact and Future Trends Welcome to the future of work! In this insightful session, we explore the remarkable transformations happening in the workplace, driven by automation and a renewed focus on employee experience. The global pandemic has undoubtedly disrupted our routines, but it has also showcased our resilience as we adapt to remote work and support our customers, partners, and colleagues.

Driving Unparalleled Growth for MSPs and Deliver Value for Their Clients with ScienceLogic

Since ScienceLogic was founded in 2003, our goal has been to support our partners, including Managed Service Providers (MSPs), with solutions that help them and their clients gain unparalleled visibility into their IT environments. Our objective has always been to help these organizations bring order to complexity, turn inefficiencies into productivity, and, in the process, help service providers and the companies they serve exceed their business objectives.

How to Build a Data Migration Plan? A Step By Step Guide

Data growth is growing at an extraordinary pace, with a compound annual growth rate (CAGR) of 28% projected over the next few years. For organizations dealing with logs, metrics, and traces, this massive data expansion brings both opportunities and challenges. As data volumes soar, having flexibility in where you store and analyze it—whether in a SIEM, object storage, or other platforms—has become essential.

Inside PromQL: A closer look at the mechanics of a Prometheus query

Even though I’m a Prometheus maintainer and work inside the Prometheus code, I found many of the details of PromQL, the Prometheus query language, obscure. Many times I would look something up, or go deep into the code to find out exactly what it did, only to forget it again the next month. So, trying to live up to my job title of Distinguished Engineer at Grafana Labs, I resolved to write the definitive guide: what really happens when I execute a PromQL query?

Revisiting improved HTTP logging in ASP.NET Core 8

A few years ago, I had a play with HTTP logging added in ASP.NET Core 6. ASP.NET Core 8 introduced a set of additional configuration options that I believe are essential to make this feature usable. I will recap the details from the previous post below, but for more context, the first part of this series is here. In this post, I'll go through some of the changes introduced in HTTP logging since last. Before I jump into the improvements, let's recap how to set up HTTP logging.

Network monitoring, explained

Network monitoring continuously observes and manages the performance, availability, and security of a computer network to identify issues before they affect operations. As IT infrastructure grows more complex, network monitoring ensures your business stays online, whether dealing with on-premises or cloud environments. In hybrid or multi-cloud settings, having visibility across all systems is crucial to maintain seamless performance and prevent disruptions.