Welcome to the Journey of Cloud Engineering

  So far in this journey, we’ve explored: Cloud infrastructure Data platforms Identity and access Enterprise applications Automation and CI/CD Most of these revolve around a common assumption: Cloud is used to host web applications. But that assumption is rapidly changing. Cloud today powers a new class of experiences: Immersive applications; especially Virtual Reality (VR). What Makes VR Applications Different? At first glance, a VR application may seem like just another app. But in reality, it introduces unique challenges: High-performance rendering requirements Large asset sizes (3D models, environments) Real-time interaction Device-specific deployment Continuous updates Unlike traditional apps, VR systems are not just about backend processing. They are about experience delivery . Where the Cloud Fits in VR Cloud plays multiple roles in the VR ecosystem. 1. Application Distribution VR applications are typically distributed through platforms like: Meta Que...

In the previous article, we explored why manual deployments don’t scale and how CI/CD changes the way modern systems are delivered. Now the next logical step is: How do you actually design a CI/CD pipeline? Not just using tools; but designing it in a way that is reliable, scalable, and production-ready. What Is a CI/CD Pipeline in Practice? A CI/CD pipeline is a defined sequence of automated steps that takes your code from: Developer → Repository → Build → Test → Deploy → Production Instead of manual actions, every stage is: Automated Repeatable Version-controlled The Core Stages of a Pipeline Let’s break this into practical components. 1. Source Control (The Starting Point) Everything begins with code stored in a version control system like GitHub or repositories in Azure DevOps . This enables: Collaboration Version tracking Controlled changes through pull requests A pipeline is usually triggered when: Code is pushed A pull request is created A...

So far in this journey, we’ve explored: Cloud infrastructure Data platforms Identity and access Enterprise applications Collaboration systems Now we arrive at a critical realization: Building systems is one thing. Operating them consistently is another. And this is where many teams struggle. The Problem with Manual Deployments In many environments, deployments still look like this: Logging into servers Uploading files manually Running scripts Updating configurations Restarting services It works - until it doesn’t. Manual deployments introduce: ❌ Human error ❌ Inconsistent environments ❌ Downtime risks ❌ Lack of traceability ❌ Slow release cycles As systems grow, this approach becomes fragile and unsustainable. A Simple Question If you had to deploy your application today: Could you do it the exact same way every time? Could someone else repeat it without your help? Could you roll back instantly if something breaks? If the answer is ...