Scalability and Performance in System Design

Week 3: Scalability and Performance

1. Scalability Principles:

  • Lecture 1: Understanding Scalability
  • Scalability is the ability of a system to handle growing amounts of work.
  • Imagine it like adding more lanes to a highway to accommodate more cars.
  • Discuss why scalability is crucial for modern applications.
  • Lecture 2: Scalability Techniques
  • Explore techniques like parallel processing and distributed computing.
  • Highlight the importance of breaking bottlenecks.
  • Lab 1: Identifying Scalability Challenges
  • Analyze a small web application and identify potential scalability bottlenecks.
  • Propose solutions for each bottleneck.

2. Horizontal vs. Vertical Scaling:

  • Lecture 3: Horizontal Scaling
  • Horizontal scaling means adding more machines or instances to a system.
  • Think of it as adding more cars to a fleet.
  • Example: Expanding a web application by adding more servers.
  • Lecture 4: Vertical Scaling
  • Vertical scaling means upgrading a single machine’s resources (e.g., CPU, RAM).
  • Compare it to making a car engine more powerful.
  • Example: Increasing the RAM of a database server.
  • Lab 2: Planning for Horizontal and Vertical Scaling
  • Given a scenario, decide whether horizontal or vertical scaling is more suitable.
  • Create a scaling plan for a web application.

3. Caching Strategies:

  • Lecture 5: Introduction to Caching
  • Caching is like storing frequently used information in a readily accessible place.
  • Example: Saving a frequently used textbook page on your desk for quick reference.
  • Lecture 6: Types of Caching
  • Explore client-side caching, server-side caching, and distributed caching.
  • Discuss the trade-offs between them.
  • Lab 3: Implementing Caching
  • Implement client-side caching in a simple web application to reduce load times.
  • Measure the performance improvement.

4. Load Balancing and Content Delivery Networks (CDNs):

  • Lecture 7: Load Balancing
  • Load balancing distributes incoming traffic across multiple servers.
  • Compare it to distributing the weight evenly in a game of tug-of-war.
  • Example: A website directing users to the least busy server.
  • Lecture 8: Content Delivery Networks (CDNs)
  • CDNs distribute content geographically to reduce latency.
  • Imagine it like having multiple copies of a book in different libraries.
  • Example: A video streaming service caching popular videos closer to users.
  • Lab 4: Load Balancing and CDN Configuration
  • Set up load balancing for a simple web application.
  • Configure a CDN to serve static assets and measure the latency improvement.

Homework Assignment:

  • Research and document a real-world example of a website or application that significantly improved its scalability and performance through caching and load balancing.

Read More System Design

System Design Syllabus

Introduction to System Design

Architectural Patterns in System Design

Scalability and Performance in System Design

Database Design in System Design

Distributed Systems in System Design

System Integration and APIs in System Design

Cloud Computing in Sestem Design

Containerization and Orchestration in System Design

High Availability and Disaster Recovery

Security in System Design

Performance Tuning and Optimization

Case Studies and Real-World Projects

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