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High Scale Distributed Systems: Architecting for 1M+ RPS

4 weeks
0 Learners
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High scale Distributed systems

Objective

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

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

Study Resources

→Introduction to Distributed Systems (Search)→CAP Theorem Explained (Search)→Scalability, Availability, Stability, Patterns (Search)
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References

01Introduction to Distributed Systems (Search)
02CAP Theorem Explained (Search)
03Scalability, Availability, Stability, Patterns (Search)
04Microservices by Martin Fowler
05Building Microservices with Node.js and Express (Search)
06gRPC Basics - Official Documentation
07Apache Kafka Documentation
08RabbitMQ Tutorials
09Event Sourcing and CQRS Explained (Search)
10Netflix Hystrix (Circuit Breaker) - GitHub
11Microservices Observability: Logging, Monitoring, Tracing (Search)
12Site Reliability Engineering (SRE) Book - Google

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