In today’s cloud-first world, businesses need storage solutions that are not just scalable—but secure, highly available, and resilient to failure. Azure Storage Accounts offer exactly that: a unified platform for storing diverse data types—blobs (Binary Large Object), files, queues, tables, and disks—accessible globally over HTTP/HTTPS with a unique namespace.

Whether you’re backing up a public website, managing internal documents, or enabling shared access across departments, Azure’s storage services provide the flexibility and control needed to meet enterprise demands. With built-in redundancy options like LRS, ZRS, GRS, RA-GRS and GZRS, your data is protected against local failures and regional outages. And with encryption at rest, network isolation, and identity-based access, security is baked into every layer.

This guide outlines a practical, hands-on task involving the provisioning and configuration of Azure Virtual Machines to host two of the most popular web servers in use today. This is a foundational skill for anyone looking to work with cloud infrastructure.

What We’ll Be Doing

We’ll be setting up two distinct environments to get a feel for managing different server types in the cloud:

Modernizing legacy applications often starts with migrating the underlying database. This blog-post provides a practical, step-by-step guide on using AWS Database Migration Service (DMS) to migrate a PostgreSQL database from a self-managed Django Application server hosted on a virtual machine to Amazon RDS. This process offers significant advantages, including reduced operational overhead, improved scalability, and enhanced security. While a full modernization effort might involve other components like storage optimization with S3 and CloudFront, this guide focuses specifically on the crucial database migration process using AWS DMS, outlining the steps involved and highlighting the benefits of this approach.

This week blog post, I dove deep into the world of infrastructure automation for launching a Minimum Viable Product Application, specifically focusing on building custom AMIs with Packer. I successfully automated the release of new versions by applying semantic versioning and also automated the configuration of my AMIs with pre-installed softwares such as Nginx, Gunicorn, PostgreSQL and Python Virtual Environment for Django Framework using Bash scripting, streamlining my infrastructure setup process.

In this post, we’ll explore how to secure and optimize cloud infrastructure,which can help organizations build a Robust, Secure, and Scalable cloud environment by leveraging powerful tools like Virtual Private Cloud (VPC) and Resource Access Manager (RAM). We’ll also discuss how this project take a step further by combining VPC & RAM to ensure business-critical applications are secured and inaccessible from the public internet while minimizing cost by sharing resources with other multi-accounts created by Control Tower.

In this episode, I’ll walk you through how I built my tech blog infrastructure using Hugo as my build tool while combining it with some Cloud Native Services, evolving from a basic console setup to a fully automated, secure platform. If you’re looking to create a similar setup, here’s what I learned along the way.