Metrics

Introduction: Monitoring the resource utilization of nodes and pods within a Kubernetes cluster is essential for maintaining optimal performance and efficient resource allocation. This is where the Kubernetes Metrics Server comes into play. …

Introduction SQL Server Monitoring has become an essential part of modern-day applications since a major chunk of these applications rely heavily on a database. It is therefore important to monitor your metrics and make the best out of your database services. SQL Server Monitoring offers plenty of metrics to choose from…

I recently saw some new thinking from Alex Osterwalder, who’s best known for introducing the Business Model Canvas in his book Business Model Generation. In this presentation he argues that on the uncertain new development side of what he calls the Explore-Exploint continuum, OKR (objectives and key results) is not…

Hi there! Have you ever asked yourself why we care so much about logs and metrics when we work on a system? So, let’s get this sorted today. Let’s get started and explore the thrilling world of telemetry, understanding the roles of logs and metrics. Believe me, this won’t be…

Introduction In this article, we will look at what a Kubernetes metrics server is and what it is used for. We will also learn how to set up a metrics server and use it to monitor Kubernetes metrics. …

A new, improved version of the DesigniteJava plugin for IntelliJ IDEA is available now. This version adds support for project-level code quality analysis and visualizations tagging architecture, test, and testability smells in code, in addition to design and implementation smells project analysis progress status in IntelliJ status bar You may find more details about the plugin on JetBrain’s Marketplace.

Introduction Are you interested in learning how to monitor Nginx? In this post, we’ll show you all about how Nginx works and how you can use Hosted Graphite to monitor it. First, we’ll read what Nginx monitoring is all about and how it can together work with Prometheus. …

In this article, I will explain you what the metrics are available in machine learning to measure the performance of the trained models. Metrics in machine learning are measures used to evaluate the performance and effectiveness of machine learning models. …

We’ve all seen them — those tempting “Ultimate Lists of Metrics.” They draw us in with the promise of comprehensive knowledge, the allure of understanding every possible metric we might need to track. But, as enticing as these lists may be, they inadvertently feed into a trap — the fixation…