Master System Design Concepts with Microsoft Engineer

Master System Design Concepts with Microsoft Engineer
Published 12/2025
Duration: 6h 29m | .MP4 1920×1080 30fps(r) | AAC, 44100Hz, 2ch | 3.15 GB

Learn to build scalable systems: networking, databases & distributed systems.

What you’ll learn
– Explain core system design fundamentals, including scaling strategies, performance metrics, reliability, and trade-offs used in modern backend systems.
– Analyze how real-world systems scale from zero to millions of users by understanding client-server interactions, traffic growth, capacity limits, and bottleneck
– Design scalable data architectures using SQL, NoSQL, key-value stores, indexing, consistent hashing, replication, and sharding.
– Evaluate distributed system concepts like high availability, resiliency, latency percentiles, and message queues to build robust, fault-tolerant services.
– Apply foundational networking, routing, and service architecture concepts such as DNS, API design, proxies, load balancing, microservices, and service discovery

Requirements
– Basics of Software Engineering

Description
Learn System Design from Someone Who’s Built Systems at Scale

Are you preparing for software engineering interviews at top tech companies? Want to understand how applications scale from a few users to millions? This course teaches you system design through the lens of real-world distributed systems.This isn’t a collection of short, surface-level videos for entertainment.This is a comprehensive, structured learning experience designed to build genuine understanding. Each lesson is carefully crafted to help you truly master the concepts, not just memorize them for an interview.I’m a Software Engineer at Microsoft with over 5 years of experience working on the backend infrastructure of Microsoft Teams, a platform serving hundreds of millions of users daily. I’ve designed this course to teach you not just the theory, but the practical reasoning behind system design decisions.

What You’ll Learn:

System Design Fundamentals

How to scale applications from 0 to a million users

Performance trade-offs: latency vs throughput, vertical vs horizontal scaling

Back-of-the-envelope calculations for system sizing

Message queues and event-driven architectures

Networking & Traffic Management

Core protocols: TCP, UDP, HTTP, and gRPC

DNS and routing mechanisms

API design patterns (REST, RPC, versioning)

Load balancers, proxies, and API gateways

Service Architecture

When to use microservices (and when not to)

API Gateways

Databases & Data Architecture

SQL vs NoSQL: choosing the right database

CAP theorem in practice

Indexing, replication, and sharding strategies

Consistent hashing

Distributed Systems Concepts

Designing for fault tolerance and high availability

Understanding latency percentiles (p90, p95, p99)

Who this course is for:
– Backend Software Engineers
More Info