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High Scale Distributed Systems: Architecting for 1M+ RPS

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High scale Distributed systems

High Scale Distributed Systems: Architecting for 1M+ RPS

4 weeks
12 Learners
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.

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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 homework
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Topics

1.1
Introduction to Distributed Systems
Data Consistency and Tradeoffs in Distributed Systems
25 minutes
1.2
Scaling Strategies
Scaling Load Balancers: How to Eliminate Bottlenecks & Handle Millions of Requests
15 minutes
1.3
CAP Theorem and Consistency Models
What is CAP theorem in Hindi ?
10 minutes
1.4
Distributed Consensus
Distributed Systems Mastery | Advanced Concepts | System Design - Season 2 : Ep 12
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 homework
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 homework
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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 homework
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1 review

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