Welcome to my presentations repository!
This repository is a collection of interactive web-based presentations covering various software engineering and system design topics.
File: distibutedSystem/distributed-systems.html
Overview: A comprehensive introduction to distributed systems concepts using a real-world ride-sharing platform π (like Uber) as a case study. This presentation walks through the fundamental challenges of building scalable, reliable systems across multiple cities.
Topics Covered:
-
Definitions & Characteristics
- What is a Distributed System?
- When and why to use Distributed Systems
- Real-world examples (Uber, Google Maps, Netflix, WhatsApp, Instagram, Banking Apps)
- Challenges and trade-offs in distributed systems
-
Basic Concepts
- Nodes and State (Compute + State)
- State Machine Replication (SMR)
- Distributed Logs and event sourcing
- Quorums and Majority voting
- Data replication strategies
-
Consensus Algorithms
- Introduction to Raft Consensus Algorithm
- Leader Election
- Log Replication
- Key concepts: Terms, Elections, Majority consensus
- Fault Tolerance and Byzantine failures
-
Real-World Application
- Journey from single server to distributed architecture
- Handling scale (1000s of simultaneous rides)
- Consistency models (Strong vs Eventual Consistency)
- Fault tolerance in practice
Key Learning:
- How distributed systems solve real-world scalability problems
- Why consensus algorithms are critical for data consistency
- Trade-offs between consistency, availability, and partition tolerance
- Practical implementation patterns used by major tech companies
Duration: ~45-60 minutes
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Last Updated: November 2025