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ExpertExpert6 weeks

Advanced Scalability

Handle large-scale data and traffic with sharding, replication, CQRS, event sourcing, and asynchronous architecture.

Topic 23 of 24

Prerequisites

System Design
Architecture Patterns
Cloud Platforms

Key Concepts & Skills

Sharding
Replication
Event Sourcing
CQRS
Partition data
Design replication
Separate read/write models
Use event histories

Learning Outcomes

Understand the core principles of Sharding
Configure and deploy Replication successfully
Troubleshoot common issues with Event Sourcing
Understand the core principles of CQRS
Configure and deploy Partition data successfully
Troubleshoot common issues with Design replication
Understand the core principles of Separate read/write models
Configure and deploy Use event histories successfully

Resources

Community

Designing Data-Intensive Applications notes

Official Docs

Azure CQRS pattern AWS event sourcing

Practice Exercises

Design database shards for tenant data.Create read/write model diagrams.Model event history for an order system.

Project Task

Design a scalable SaaS backend with CQRS and event streams.

Quiz

What tradeoffs does sharding introduce?Explain the answer with one real-world example.List one mistake a beginner might make here.

Notes