
English | Size: 3.1 GB
Genre: eLearning
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
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

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