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
Introduction to API Gateway
Usage of API gateway
Advantages and disadvantages of using API gateway
Scalability
Availability
Latency and Performance
Concurrency and Coordination
Monitoring and Observability
Resilience and Error Handling
Fault Tolerance vs. High Availability
HTTP vs. HTTPS
TCP vs. UDP
HTTP: 1.0 vs. 1.1 vs 2.0 vs. 3.0
URL vs. URI vs. URN
Introduction to DNS
DNS Resolution Process
DNS Load Balancing and High Availability
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
What is CDN?
Origin Server vs. Edge Server
CDN Architecture
Push CDN vs. Pull CDN
Introduction to Data Partitioning
Partitioning Methods
Data Sharding Techniques
Benefits of Data Partitioning
Common Problems Associated with Data Partitioning
What is a Proxy Server?
Uses of Proxies
VPN vs. Proxy Server
What is Redundancy?
What is Replication?
Replication Methods
Data Backup vs. Disaster Recovery
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
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
What are Indexes?
Types of Indexes
Introduction to Bloom Filters
Benefits & Limitations of Bloom Filters
Variants and Extensions of Bloom Filters
Applications of Bloom Filters
Difference Between Long-Polling, WebSockets, and Server-Sent Events
What is Quorum?
What is Heartbeat?
What is Checksum?
Uses of Checksum
What is Leader and Follower Pattern?
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?
Introduction to Messaging System
Introduction to Kafka
Messaging patterns
Popular Messaging Queue Systems
RabbitMQ vs. Kafka vs. ActiveMQ
Scalability and Performance
What is a Distributed File System?
Architecture of a Distributed File System
Key Components of a DFS
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
Stateless vs. Stateful Load Balancing

Stateless and stateful load balancing represent two distinct methods for distributing traffic among multiple servers or resources.

Stateless Load Balancing

Stateless load balancers operate without maintaining any information about the clients' session or connection state. They make routing decisions based solely on the incoming request data, such as the client's IP address, request URL, or other headers. Because stateless load balancers do not store session information, they can quickly and efficiently distribute incoming traffic without considering the clients' history or past interactions with the application.

Example: Consider a web application that enables users to search for products according to their location. A stateless load balancer can allocate requests to servers based on the user's geographic location, without retaining any session data.

Stateful Load Balancing

In contrast, stateful load balancing preserves session information between requests. The load balancer assigns a client to a specific server and ensures that all subsequent requests from the same client are directed to that server. This method is beneficial when requests pertain to a particular session and necessitate session data.

Example: Suppose a web application that requires users to log in to access their personal information. A stateful load balancer can guarantee that requests from the same user are routed to the same server, allowing session data such as login credentials to be available.

Stateful load balancing can be further categorized into two types:

  • Source IP Affinity: This form of stateful load balancing assigns a client to a specific server based on the client's IP address. While this approach ensures that requests from the same client consistently reach the same server, it may pose issues if the client's IP address frequently changes, such as in mobile networks.

  • Session Affinity: In this type of stateful load balancing, the load balancer allocates a client to a specific server based on a session identifier, such as a cookie or URL parameter. This method ensures that requests from the same client consistently reach the same server, regardless of the client's IP address.

Ultimately, the decision between stateless and stateful load balancing depends on the application or service's requirements. Stateless load balancing is useful for applications capable of processing requests independently, while stateful load balancing is more appropriate for applications that depend on session data.

Load Balancer Types
High Availability and Fault Tolerance
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Stateless Load Balancing

Stateful Load Balancing