Introduction to High-Level System Design
System Design Fundamentals
- Functional vs. Non-Functional Requirements
- Scalability, Availability, and Reliability
- Latency and Throughput Considerations
- Load Balancing Strategies
Architectural Patterns
- Monolithic vs. Microservices Architecture
- Layered Architecture
- Event-Driven Architecture
- Serverless Architecture
- Model-View-Controller (MVC) Pattern
- CQRS (Command Query Responsibility Segregation)
Scaling Strategies
- Vertical Scaling vs. Horizontal Scaling
- Sharding and Partitioning
- Data Replication and Consistency Models
- Load Balancing Strategies
- CDN and Edge Computing
Database Design in HLD
- SQL vs. NoSQL Databases
- CAP Theorem and its Impact on System Design
- Database Indexing and Query Optimization
- Database Sharding and Partitioning
- Replication Strategies
API Design and Communication
Caching Strategies
- Types of Caching
- Cache Invalidation Strategies
- Redis vs. Memcached
- Cache-Aside, Write-Through, and Write-Behind Strategies
Message Queues and Event-Driven Systems
- Kafka vs. RabbitMQ vs. SQS
- Pub-Sub vs. Point-to-Point Messaging
- Handling Asynchronous Workloads
- Eventual Consistency in Distributed Systems
Security in System Design
Observability and Monitoring
- Logging Strategies (ELK Stack, Prometheus, Grafana)
- API Security Best Practices
- Secure Data Storage and Access Control
- DDoS Protection and Rate Limiting
Real-World System Design Case Studies
- Distributed locking (Locking and its Types)
- Memory leaks and Out of memory issues
- HLD of YouTube
- HLD of WhatsApp
System Design Interview Questions
- Adobe System Design Interview Questions
- Top Atlassian System Design Interview Questions
- Top Amazon System Design Interview Questions
- Top Microsoft System Design Interview Questions
- Top Meta (Facebook) System Design Interview Questions
- Top Netflix System Design Interview Questions
- Top Uber System Design Interview Questions
- Top Google System Design Interview Questions
- Top Apple System Design Interview Questions
- Top Airbnb System Design Interview Questions
- Top 10 System Design Interview Questions
- Mobile App System Design Interview Questions
- Top 20 Stripe System Design Interview Questions
- Top Shopify System Design Interview Questions
- Top 20 System Design Interview Questions
- Top Advanced System Design Questions
- Most-Frequented System Design Questions in Big Tech Interviews
- What Interviewers Look for in System Design Questions
- Critical System Design Questions to Crack Any Tech Interview
- Top 20 API Design Questions for System Design Interviews
- Top 10 Steps to Create a System Design Portfolio for Developers
Introduction to High-Level System Design
System Design Fundamentals
- Functional vs. Non-Functional Requirements
- Scalability, Availability, and Reliability
- Latency and Throughput Considerations
- Load Balancing Strategies
Architectural Patterns
- Monolithic vs. Microservices Architecture
- Layered Architecture
- Event-Driven Architecture
- Serverless Architecture
- Model-View-Controller (MVC) Pattern
- CQRS (Command Query Responsibility Segregation)
Scaling Strategies
- Vertical Scaling vs. Horizontal Scaling
- Sharding and Partitioning
- Data Replication and Consistency Models
- Load Balancing Strategies
- CDN and Edge Computing
Database Design in HLD
- SQL vs. NoSQL Databases
- CAP Theorem and its Impact on System Design
- Database Indexing and Query Optimization
- Database Sharding and Partitioning
- Replication Strategies
API Design and Communication
Caching Strategies
- Types of Caching
- Cache Invalidation Strategies
- Redis vs. Memcached
- Cache-Aside, Write-Through, and Write-Behind Strategies
Message Queues and Event-Driven Systems
- Kafka vs. RabbitMQ vs. SQS
- Pub-Sub vs. Point-to-Point Messaging
- Handling Asynchronous Workloads
- Eventual Consistency in Distributed Systems
Security in System Design
Observability and Monitoring
- Logging Strategies (ELK Stack, Prometheus, Grafana)
- API Security Best Practices
- Secure Data Storage and Access Control
- DDoS Protection and Rate Limiting
Real-World System Design Case Studies
- Distributed locking (Locking and its Types)
- Memory leaks and Out of memory issues
- HLD of YouTube
- HLD of WhatsApp
System Design Interview Questions
- Adobe System Design Interview Questions
- Top Atlassian System Design Interview Questions
- Top Amazon System Design Interview Questions
- Top Microsoft System Design Interview Questions
- Top Meta (Facebook) System Design Interview Questions
- Top Netflix System Design Interview Questions
- Top Uber System Design Interview Questions
- Top Google System Design Interview Questions
- Top Apple System Design Interview Questions
- Top Airbnb System Design Interview Questions
- Top 10 System Design Interview Questions
- Mobile App System Design Interview Questions
- Top 20 Stripe System Design Interview Questions
- Top Shopify System Design Interview Questions
- Top 20 System Design Interview Questions
- Top Advanced System Design Questions
- Most-Frequented System Design Questions in Big Tech Interviews
- What Interviewers Look for in System Design Questions
- Critical System Design Questions to Crack Any Tech Interview
- Top 20 API Design Questions for System Design Interviews
- Top 10 Steps to Create a System Design Portfolio for Developers
Python vs. JavaScript – Which One Should You Learn in 2025?
Choosing between Python and JavaScript can feel overwhelming, especially with both languages dominating the tech landscape. Whether you’re a new coder or a seasoned developer, understanding their roles in 2025 is key. Sign up for free course updates to stay ahead: Free Course Updates. Let’s dive into their strengths, weaknesses, and future-proof careers!
Python vs. JavaScript: Key Differences
Syntax and Readability
Python’s clean, English-like syntax makes it ideal for beginners. Indentation-based blocks (no curly braces!) reduce clutter. JavaScript’s syntax is more flexible but requires semicolons and brackets, which can confuse newcomers.
Example:
# Python
if 5 > 2:
print(“Python is simple!”)
// JavaScript
if (5 > 2) {
console.log(“JS needs brackets!”);
}
Use Cases and Applications
Python dominates data science, AI, and backend development (thanks to Django/Flask). JavaScript rules web development (React, Node.js) and mobile apps (React Native).
Table 1: Best Use Cases
Python | JavaScript |
Machine Learning | Frontend Web Development |
Data Analysis | Real-Time Apps (Chat) |
Automation Scripts | Mobile Apps |
Backend APIs | Game Development |
Performance and Speed
JavaScript’s V8 engine (Chrome, Node.js) offers faster execution for web tasks. Python struggles with speed but shines in prototyping. For heavy computations, Python uses C-extensions (NumPy) to close the gap.
Stat:
Python is ~2–10x slower than JavaScript in runtime benchmarks (Source: TechEmpower, 2023).
Job Market Demand in 2025
Python Roles and Salaries
Python developers earn $120k–$150k annually in the U.S. (Glassdoor, 2024). High demand in AI, DevOps, and cloud engineering.
Top Industries Hiring Python Devs:
- AI/ML Research
- Fintech (Algorithmic Trading)
- Healthcare Analytics
JavaScript Roles and Salaries
JavaScript developers average $110k–$140k, with full-stack roles paying up to $160k. Startups and FAANG companies seek React/Node.js experts.
Top Jobs for JS Devs:
- Frontend Engineer
- Full-Stack Developer
- AR/VR Developer

Learning Curve and Resources
Python’s Beginner-Friendly Ecosystem
Libraries like Pandas (data) and TensorFlow (AI) simplify complex tasks. Courses on Coursera and freeCodeCamp offer structured paths.
Top Python Resources:
- Automate the Boring Stuff (Book)
- Codecademy’s Python Course
JavaScript’s Versatility Challenges
Asynchronous programming (Promises, async/await) and frameworks like Angular can overwhelm learners. However, communities like freeCodeCamp provide hands-on projects.
Key JS Concepts to Master:
- DOM Manipulation
- API Integration
- State Management (Redux)
Recommended Topic: How to Crack DSA Interviews in 3 Months

Future Trends and Industry Shifts
Python in AI and Quantum Computing
Python leads AI research (PyTorch, OpenAI) and quantum programming (Qiskit). By 2025, 70% of AI projects will use Python (Gartner).
JavaScript in Metaverse and IoT
JavaScript frameworks like Three.js (3D graphics) and Johnny-Five (IoT) position it for metaverse and smart device development.
Stat:
85% of AR/VR apps rely on JavaScript (MIT Tech Review, 2024).
Also Read: System Design for Real-Time Chat Apps

Which language pays more in 2025?
Python offers higher salaries in AI/ML ($150k+), while JavaScript leads in full-stack roles ($140k+). Boost your skills with our Advanced DSA & Web Dev Course.
Can I learn both Python and JavaScript?
Absolutely! Start with JavaScript for web basics, then add Python for backend or AI. Our Full-Stack Developer Program covers both.
Which has better frameworks?
JavaScript wins for web (React, Vue), Python for data (PyTorch, Pandas). Master both with Design & DSA Combined Course.
How does YouTube manage high traffic without crashing?
YouTube leverages CDNs (Content Delivery Networks), load balancing, and distributed databases to distribute traffic efficiently and prevent downtime. If you want to learn more about handling large-scale traffic and system design, check out this Master DSA, Web Dev & System Design Course.

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