High scale Distributed systems

High Scale Distributed Systems: Architecting for 1M+ RPS

4 weeks
12 Learners
eulerfold
Apr 6

A 4-week roadmap to master the principles and practices of designing and building high-scale distributed systems capable of handling millions of requests per second, leveraging microservices and event-driven architectures.

Architect systems handling 1M+ RPS using microservices and event-driven pattern

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W1

Module 1: Foundations of Distributed Systems & Scalability

By the end of this module you will be able to articulate the core challenges of distributed systems, understand fundamental scaling strategies, and apply consistency models based on the CAP theorem.

4 videos77m
3 readings
4 topics
1 task
Learn

Topics

1.1
Introduction to Distributed Systems
25 minutes
1.2
Scaling Strategies
15 minutes
1.3
CAP Theorem and Consistency Models
10 minutes
1.4
Distributed Consensus
27 minutes
W2

Module 2: Microservices Architecture

By the end of this module you will be able to design and implement microservices, choose appropriate communication patterns, and manage service discovery and API gateways.

5 videos112m
3 readings
5 topics
1 task
Learn
W3

Module 3: Event-Driven Architectures & Data Management

By the end of this module you will be able to implement event-driven patterns using message queues, understand event sourcing and CQRS, and manage data consistency in distributed systems.

2 videos46m
3 readings
4 topics
1 task
Learn
W4

Module 4: High Scale & Resilience Patterns

By the end of this module you will be able to apply advanced patterns for resilience, fault tolerance, and observability to build robust, high-scale distributed systems.

3 videos43m
3 readings
4 topics
1 task
Learn
01

Learn

Watch curated videos and read study resources

02

Practice

Practice what you learned

03

Build Projects

Build projects using your new gained knowledge

04

Submit & Verify

Submit your project and get verified by our system

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