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 Encryption?

Encryption in software systems is like sending a secret letter where the message is scrambled into a code. Only someone with the right key can read it. It's a method to protect data by making it unreadable to unauthorized users.

  • Basic Concept: Encryption transforms readable data (plaintext) into a scrambled, unreadable format (ciphertext). To turn it back into readable form, you need the correct decryption key.

  • Types of Encryption:

    1. Symmetric Encryption: Uses the same key for encrypting and decrypting data. Think of it as a lock and key system where the same key locks and unlocks the box.
    2. Asymmetric Encryption: Uses two different keys – a public key for encryption and a private key for decryption. It's like having a public mailbox where anyone can drop a message (public key), but only you have the key to open it (private key).
  • Why It's Used:

    • Data Security: To protect sensitive data like passwords, credit card numbers, or confidential communications.
    • Privacy: Ensures that private conversations or information stay private.
    • Integrity: By encrypting data, it helps in verifying that the data has not been altered during transmission.
  • Where It's Used:

    • Secure Websites: HTTPS uses encryption to secure the data transmitted between your browser and the website.
    • Online Payments: Encryption protects your financial details when you buy something online.
    • Emails and Messaging: Services use encryption to keep your messages secure.
  • Challenges:

    • Key Management: Keeping the encryption keys safe is crucial. If someone gets the key, they can decrypt your data.
    • Performance: Encryption can slow down systems because it takes time to encrypt and decrypt data.
    • Complexity: Implementing and managing encryption strategies can be complex.

Encryption is a fundamental aspect of cybersecurity, acting as a critical barrier against data breaches and cyber attacks. It's like having a secret language that only you and the intended recipient understand, keeping your information safe from prying eyes.

OAuth vs. JWT for Authentication
What are DDoS Attacks?
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