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?
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
What is Security and Privacy?

Ensuring security and privacy in distributed systems is essential to protect sensitive data, user information, and system integrity. Distributed systems face unique challenges related to security and privacy due to their distributed nature, which makes them more vulnerable to attacks and data breaches. Here's an overview of various aspects of security and privacy in distributed systems:

A. Authentication and Authorization

Authentication and authorization are critical components of security in distributed systems. Authentication is the process of verifying the identity of users, services, or nodes before allowing them access to the system. Authorization, on the other hand, determines what actions or resources the authenticated entity is allowed to access. Implementing strong authentication and authorization mechanisms, such as OAuth, JWT, or Kerberos, can help protect your distributed system from unauthorized access and malicious activities.

B. Data Encryption

Data encryption is the process of converting data into an encoded format that can only be decrypted and read by someone with the correct decryption key. In distributed systems, encrypting data both at rest and in transit is crucial to protect sensitive information and ensure privacy. Techniques like symmetric and asymmetric encryption, as well as protocols such as TLS/SSL, can be used to secure data in distributed systems.

C. Secure Communication

Secure communication between nodes in a distributed system is vital to prevent eavesdropping, tampering, or forgery of messages. Implementing secure communication protocols, such as TLS/SSL, IPSec, or application-level encryption, can help protect the integrity and confidentiality of data exchanged between nodes.

D. Intrusion Detection and Prevention

Intrusion detection and prevention systems (IDPS) are designed to monitor network traffic, detect malicious activities or policy violations, and take appropriate actions to mitigate potential threats. By deploying IDPS solutions in your distributed system, you can identify and respond to security incidents more effectively, thus reducing the risk of data breaches and system compromise.

What is Leader and Follower Pattern?
What is Authentication?
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On this page

A. Authentication and Authorization

B. Data Encryption

C. Secure Communication

D. Intrusion Detection and Prevention