All posts

Low-Level Design (LLD), OOAD & Design Patterns
Learn Low-Level Design (LLD), Object-Oriented Analysis and Design (OOAD), UML diagrams, class design, object relationships, design patterns, and interview-ready approaches for common LLD problems.

Authentication, Authorization, JWT, OAuth2 & Security
Master authentication, authorization, JWTs, OAuth 2.0, OpenID Connect, RBAC, MFA, password security, session management, and scalable auth system design for system design interviews and production applications.

Scaling Systems: Performance, Bottlenecks & Capacity Planning
Learn how systems scale from 1K to 10M users, identify bottlenecks, optimize databases, use connection pooling, read replicas, async I/O, and perform capacity planning for large-scale applications.

CDNs, Load Balancers & Proxies
Learn how CDNs reduce latency, how load balancers distribute traffic, the difference between forward and reverse proxies, and how modern systems handle traffic at scale.

Communication Protocols — HTTP, WebSockets, gRPC & SSE
Master modern communication protocols including HTTP/HTTPS, REST APIs, WebSockets, Server-Sent Events (SSE), gRPC, Long Polling, and Webhooks. Learn when to use each protocol, their trade-offs, and how large-scale systems enable real-time communication.

Monolith vs Microservices — Architecture Trade-offs at Scale
Understand monoliths, modular monoliths, and microservices. Learn service discovery, API gateways, distributed tracing, BFF, Strangler Fig migration, and how to choose the right architecture for scale.

Rate Limiting & Traffic Control
Learn rate limiting algorithms like Token Bucket, Leaky Bucket, Sliding Window, distributed rate limiting with Redis, and how APIs protect themselves from abuse at scale.

CAP Theorem & Consistency in Distributed Systems
Understand CAP theorem, consistency models, PACELC, Raft consensus, eventual consistency, conflict resolution, and distributed trade-offs with real-world examples.

Message Queues & Async Architecture
Learn asynchronous systems, message queues, Kafka, RabbitMQ, event-driven architecture, retries, dead letter queues, and distributed workflows.
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