DEM is a proactive, data-driven approach that goes beyond problem identification to understand and enhance the entire customer journey. Crucial is the workflow, a laborious process that begins with detection and concludes with resolution.

The first step is to listen to your customers—and their digital interactions. A strong DEM to...

Modern businesses need a fast, reliable, and seamless digital experience. Proactive monitoring of the user experience—understanding how users interact with all digital touchpoints—is vital. This blog post explores the fundamentals of this approach, its significance, and key implementation strategies.

DEM is a way to track th...

However, ensuring that your Kafka infrastructure operates smoothly is not a task you can simply set and forget. Due to the large volume of incoming data, issues like system slowdowns, bottlenecks, and unexpected breakdowns can happen at any time. This is why monitoring Kafka is essential. By closely observing system health, performance, and d...

There are two types of alerts you don't want:

We call these false alerts. As a person with responsibility over your IT infrastructure, it is natural that you have configured your monitoring systems to alert you at every step. But when these false alerts take up too much of your time, one of these unfortunate scenarios may occu...

Making sure that users have a smooth, pleasurable experience with your digital platform—whether it be a website, mobile application, or any other online service—is essential for business success. Benchmarking is a crucial technique that can increase the usefulness of digital experience monitoring. By offering a point of comparison...

Modern IT involves expanding AI adoption, DevOps practices, containers, virtual machines, microservices, and multi-cloud environments. Traditional monitoring tools struggle to keep pace with these due to their reliance on static, rule-based event correlation, which cannot handle the scale, complexity, and speed of modern operations. For tech ...

The rapid adoption of cloud-native applications has revolutionized how businesses innovate, scale, and optimize costs. These applications leverage microservices, containers, and serverless functions, allowing seamless collaboration across multiple platforms like AWS, GCP, and Azure. However, managing performance in such a distributed environm...

When something goes wrong during application deployment, it becomes all the more crucial to diagnose the issue methodically and get things back on track. This guide walks you through practical steps for troubleshooting deployment failures efficiently.

A Kubernetes deployment is a vital component for managing and automating the rollout p...

The Kubernetes API server is considered the core of the control plane. It acts as the main communication hub, processing and validating requests from users, controllers, and other Kubernetes components.

Whether you're deploying a new application, scaling workloads, or retrieving cluster metrics, all interactions go through the API ...

Persistent storage is the backbone of stateful applications running in Kubernetes. Whether you are managing databases, logs, or application states, ensuring transactional data remains intact despite pod restarts or node failures is a challenge. In this blog, we will discuss the most common persistent storage issues in Kubernetes and how to ha...