Grokking System Design Fundamentals
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System Design Fundamentals
Introduction to System Design
Load Balancing
Introduction to Load Balancing
Load Balancing Algorithms
Uses of Load Balancing
Load Balancer Types
Stateless vs. Stateful Load Balancing
High Availability and Fault Tolerance
Scalability and Performance
Challenges of Load Balancers
API Gateway
Introduction to API Gateway
Usage of API gateway
Advantages and disadvantages of using API gateway
Key Characteristics of Distributed Systems
Scalability
Availability
Latency and Performance
Concurrency and Coordination
Monitoring and Observability
Resilience and Error Handling
Fault Tolerance vs. High Availability
Network Essentials
HTTP vs. HTTPS
TCP vs. UDP
HTTP: 1.0 vs. 1.1 vs 2.0 vs. 3.0
URL vs. URI vs. URN
Domain Name System (DNS)
Introduction to DNS
DNS Resolution Process
DNS Load Balancing and High Availability
Caching
Introduction to Caching
Why is Caching Important?
Types of Caching
Cache Replacement Policies
Cache Invalidation
Cache Read Strategies
Cache Coherence and Consistency Models
Caching Challenges
Cache Performance Metrics
CDN
What is CDN?
Origin Server vs. Edge Server
CDN Architecture
Push CDN vs. Pull CDN
Data Partitioning
Introduction to Data Partitioning
Partitioning Methods
Data Sharding Techniques
Benefits of Data Partitioning
Common Problems Associated with Data Partitioning
Proxies
What is a Proxy Server?
Uses of Proxies
VPN vs. Proxy Server
Redundancy and Replication
What is Redundancy?
What is Replication?
Replication Methods
Data Backup vs. Disaster Recovery
CAP & PACELC Theorems
Introduction to CAP Theorem
Components of CAP Theorem
Trade-offs in CAP Theorem
Examples of CAP Theorem in Practice
Beyond CAP Theorem
System Design Trade-offs in Interviews
Databases (SQL vs. NoSQL)
Introduction to Databases
SQL Databases
NoSQL Databases
SQL vs. NoSQL
ACID vs BASE Properties
Real-World Examples and Case Studies
SQL Normalization and Denormalization
In-Memory Database vs. On-Disk Database
Data Replication vs. Data Mirroring
Database Federation
Indexes
What are Indexes?
Types of Indexes
Bloom Filters
Introduction to Bloom Filters
Benefits & Limitations of Bloom Filters
Variants and Extensions of Bloom Filters
Applications of Bloom Filters
Long-Polling vs. WebSockets vs. Server-Sent Events
Difference Between Long-Polling, WebSockets, and Server-Sent Events
Quorum
What is Quorum?
Heartbeat
What is Heartbeat?
Checksum
What is Checksum?
Uses of Checksum
Leader and Follower
What is Leader and Follower Pattern?
Security
What is Security and Privacy?
What is Authentication?
What is Authorization?
Authentication vs. Authorization
OAuth vs. JWT for Authentication
What is Encryption?
What are DDoS Attacks?
Distributed Messaging System
Introduction to Messaging System
Introduction to Kafka
Messaging patterns
Popular Messaging Queue Systems
RabbitMQ vs. Kafka vs. ActiveMQ
Scalability and Performance
Distributed File Systems
What is a Distributed File System?
Architecture of a Distributed File System
Key Components of a DFS
Misc Concepts
Batch Processing vs. Stream Processing
XML vs. JSON
Synchronous vs. Asynchronous Communication
Push vs. Pull Notification Systems
Microservices vs. Serverless Architecture
Message Queues vs. Service Bus
Stateful vs. Stateless Architecture
Event-Driven vs. Polling Architecture
Quiz
Stateful vs. Stateless Architecture

Stateful and Stateless architectures represent two different approaches to managing user information and server interactions in software design, particularly in web services and applications. Understanding the distinctions between them is crucial for designing systems that efficiently handle user sessions and data.

Stateful Architecture

Definition

  • Stateful Architecture means the server retains a record of previous interactions and uses this information for subsequent transactions. Each session is unique to a user, and the server stores the session state.

Characteristics

  • Session Memory: The server remembers previous interactions and may store data like user preferences or activity history.
  • Resource Usage: Typically requires more resources to maintain state information.
  • User Experience: Can offer a more personalized user experience as it retains user context.

Use Cases

  • Applications requiring a persistent user state, like online banking or e-commerce sites where a user's logged-in session and shopping cart need to be maintained.
  • Real-time applications where the current state is critical, like online gaming.

Example

  • A shopping website where your shopping cart is remembered across different pages and visits during the same session.
Satefull vs. Stateless
Satefull vs. Stateless

Stateless Architecture

Definition

  • Stateless Architecture means the server does not retain any memory of past interactions. Each request from a user must contain all the information necessary to understand and complete the request.

Characteristics

  • No Session Memory: The server treats each request as independent; no session information is stored between requests.
  • Scalability: More scalable as less information is retained by the server.
  • Simplicity and Performance: Generally simpler and can offer better performance, as there’s no need to synchronize session data across servers.

Use Cases

  • RESTful APIs, where each HTTP request contains all necessary information, making it stateless.
  • Microservices architecture, where stateless services are preferred for scalability and simplicity.

Example

  • A stateless API where each HTTP request for user data includes an authentication token and all necessary parameters.

Key Differences

  1. Session Memory:

    • Stateful: Maintains user state and session data.
    • Stateless: Does not store user state; each request is independent.
  2. Resource Usage:

    • Stateful: Higher resource usage due to session memory.
    • Stateless: Lower resource usage, as no session data is maintained.
  3. Scalability:

    • Stateful: Less scalable as maintaining state across a distributed system can be complex.
    • Stateless: More scalable as each request is self-contained.
  4. Complexity:

    • Stateful: More complex due to the need for session management.
    • Stateless: Simpler, with each request being independent and self-contained.
  5. User Experience:

    • Stateful: Can offer a more personalized experience with session history.
    • Stateless: Offers a consistent experience without personalization based on past interactions.

Conclusion

Stateful architectures are well-suited for applications where user history and session data are important, while stateless architectures are ideal for services where scalability and simplicity are priorities, and each request can be treated independently.

Message Queues vs. Service Bus
Event-Driven vs. Polling Architecture
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On this page

Stateful Architecture

Definition

Characteristics

Use Cases

Example

Stateless Architecture

Definition

Characteristics

Use Cases

Example

Key Differences

Conclusion