🎉 New Course

Ultimate DevOps Real-World Project Implementation on AWS

My newest course. Real-world DevOps on AWS with production architecture.

$15.99 $84.99 81% OFF

Coupon Code

Enroll Now on Udemy

About

Meet Kalyan Reddy Daida, DevOps & Cloud Architect teaching 383K+ engineers to build production-ready infrastructure through hands-on courses.

Hey, I'm Kalyan

I'm a DevOps & Cloud Architect based in Hyderabad, India with 18+ years in the trenches building and scaling infrastructure on AWS, Azure, and Google Cloud.

I started StackSimplify because I was frustrated with how cloud courses were taught. Too many slides. Too much theory. Not enough real work. I wanted to build the kind of course I wished existed when I was learning: one where you open a terminal and actually build production infrastructure from scratch.

How I Teach

Every StackSimplify course follows a simple formula.

You build everything yourself

No copy-paste from slides. You type every Terraform manifest, every Kubernetes YAML, every Docker command. By the end, you have a working production system you built with your own hands.

Every course has a GitHub repo

Complete code, manifests, configs, and step-by-step docs. Fork any of the 57 repos, follow along, and revisit anytime. No guessing what the instructor typed.

Multi-cloud, not single-vendor

I teach the same concepts across AWS, Azure, and GCP. When you understand the patterns (not just one vendor's buttons), you can work anywhere. Browse all 21 courses.

The Numbers So Far

What started as a side project has grown into something I'm genuinely proud of.

Over 383,000 engineers from 180+ countries have taken my courses. I've published 21 hands-on courses with 57 public GitHub repos, and students have left 32,000+ reviews with an average of 4.6 stars.

My most recent course, Ultimate DevOps Real-World Project Implementation on AWS, hit 4,772 students and 17,600+ hours of learning in its first 100 days.

What I'm Working On Next

I'm expanding into MLOps and AI/ML on the cloud. The idea is simple: engineers who already know infrastructure should learn how to productionize machine learning models. New courses covering AWS SageMaker, MLflow, and ML pipelines are coming in 2026.

Say Hello

Have a question about a course? Want to collaborate? Or just want to share what you've built? I read every message.

Contact Me

Quick Facts

  • 383,000+ students across 180+ countries
  • 21 published courses
  • 32,000+ reviews (4.6 avg rating)
  • 57 public GitHub repos
  • 6,900+ forks on top repo
  • Udemy Instructor Partner
  • 18+ years in cloud & DevOps
  • Based in Hyderabad, India

Core Expertise

Terraform Kubernetes AWS Azure GCP Docker CI/CD SRE Helm MLOps

Get DevOps & Cloud insights in your inbox

Weekly DevOps & Cloud insights from a 383K+ Udemy instructor