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Data Structures Intermediate

System Design Introduction: How to Design Scalable Systems

Learn the fundamentals of system design — scalability, reliability, availability, and the design interview process.

EzyCoders Admin April 14, 2026 8 min read 2 views
System Design Introduction: How to Design Scalable Systems
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What is it?

System design is the process of defining the architecture, components, and data flow of a complex system to meet specific requirements.

Why does it matter?

System design interviews are the gateway to senior engineering roles at Google, Amazon, and Microsoft. They test your ability to think about real-world constraints at scale.

Learn the fundamentals of system design — scalability, reliability, availability, and the design interview process.

Real-World Use Cases

  • 🏢 Enterprise systems - Used in large-scale systems.
  • Performance - Critical for high-traffic applications.
  • 🎓 Interviews - Common system design interview topic.
  • 🔧 Engineering - Core software engineering skill.

Core Concepts

# System Design Introduction: How to Design Scalable Systems
# Learn the fundamentals of system design — scalability, reliability, availability, and the design interview process.

# Key considerations:
# 1. Scalability
# 2. Reliability
# 3. Availability
# 4. Performance

Architecture Diagram

# System design is the process of defining the architecture, components, and data flow of a complex system to meet specific requirements.

# Common components:
# - Load Balancer -> App Servers
# - App Servers -> Cache (Redis)
# - App Servers -> Database (Primary + Replica)
# - CDN for static assets

Trade-offs and Decisions

# Design trade-offs:
# Consistency vs Availability (CAP Theorem)
# Latency vs Throughput
# Cost vs Performance
# Simplicity vs Scalability

# Scale estimates:
# DAU: 10M users
# Reads: 100K QPS
# Writes: 10K QPS

Q: What are the most important system design interview topics?

The core topics: scalability (vertical vs horizontal), caching (Redis, Memcached), databases (SQL vs NoSQL, sharding), load balancers, message queues (Kafka, RabbitMQ), API design (REST, GraphQL), and the CAP theorem. For FAANG interviews, also know: consistent hashing, Bloom filters, and rate limiting.

EzyCoders Admin
Written by
EzyCoders Admin

Team Lead and Full-Stack Developer with experience in PHP, JavaScript, SQL, DSA, and System Design. Passionate about software engineering, scalable web technologies, and helping developers prepare for coding interviews and tech careers through practical tutorials and professional guidance.

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