Mastering Grafana: A Practical Guide to Better Data Insights

Grafana is an open-source platform used for monitoring, visualizing, and analyzing data from various sources. It allows users to create interactive and shareable dashboards that turn complex numbers into clear, visual charts and graphs. By connecting to different databases, it provides a central place to view the health and performance of applications and infrastructure. In … Read more

GitLab Course Guide for Real-World CI/CD and Team Workflows

Introduction Most teams today ship software in small updates, many times a day. That speed is helpful, but it also creates pressure. You must manage code changes, reviews, pipelines, security checks, and releases without breaking production. This is where gitlab becomes a strong platform for real engineering workflows. If you want to work on modern … Read more

DataOps: A Practical Path to Modern Data Engineering Excellence

DataOps has become a critical approach for teams that want reliable, fast, and high-quality data for analytics, AI, and decision-making. The DataOps course from DevOpsSchool is designed to turn this concept into practical, job-ready skills that can be applied directly in real projects and enterprise environments. In this blog, the term <a href=”https://www.devopsschool.com/trainer/dataops.html”>DataOps</a> refers not just to a buzzword, … Read more

Master New Relic: Your Guide to Expert Observability Training

Introduction Imagine this: your application goes down at 2 AM. Users start complaining, your support team is flooded with tickets, and your engineers are scrambling in the dark, trying to figure out what went wrong. Hours pass, revenue drops, and frustration builds. This all-too-common nightmare is exactly what New Relic, a powerful observability platform, is … Read more

Mastering MLOps: The Essential Guide for UK Tech Professionals

In the heart of London’s thriving tech scene and across the United Kingdom, a quiet revolution is reshaping how businesses leverage artificial intelligence and machine learning. The challenge is no longer just about building sophisticated models; it’s about reliably getting them into production and ensuring they deliver continuous value. This is where MLOps (Machine Learning … Read more