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High-Level Design (HLD)

High-Level Design (HLD) is the big-picture view of a software system. It describes the architecture, components, data flow, scalability, and trade-offs before a single line of code is written. This track teaches you how to think like a software architect.

Analogy: HLD is like the blueprint of a skyscraper — it shows the floor plan, elevator shafts, plumbing routes, and electrical grid. The actual construction (LLD / coding) happens later, guided by this blueprint.


flowchart LR
Intro["01 Introduction<br/>What is HLD?"] --> Req["02 Requirements<br/>Functional & Non-Functional"]
Req --> Cap["03 Capacity Estimation<br/>Traffic & Storage"]
Cap --> Arch["04 Architecture Styles<br/>Monolith vs Microservices"]
Arch --> LB["05 Load Balancers"]
LB --> GW["06 API Gateway"]
GW --> Cache["07 Caching Strategies"]
Cache --> DB["08 Database Selection"]
DB --> MQ["09 Message Queues"]
MQ --> EDA["10 Event-Driven Architecture"]
EDA --> CDN["11 CDN Design"]
CDN --> Auth["12 Auth Architecture"]
Auth --> File["13 File Storage"]
File --> Mon["14 Monitoring & Observability"]
Mon --> HA["15 High Availability"]
HA --> DR["16 Disaster Recovery"]
DR --> Cloud["17 Cloud Architecture"]
Cloud --> Multi["18 Multi-Tenant Systems"]
Multi --> RT["19 Real-Time Systems"]
RT --> Interview["20 System Design Interviews"]
style Intro fill:#7c3aed,color:#fff
style Arch fill:#4f46e5,color:#fff
style DB fill:#059669,color:#fff
style HA fill:#f59e0b,color:#fff
style Cloud fill:#ef4444,color:#fff
style Interview fill:#6366f1,color:#fff

#TopicWhat You’ll Learn
01Introduction to HLDWhat is HLD, goals, key concepts, architecture vs design
02Requirements GatheringFunctional vs non-functional requirements, defining scope
03Capacity EstimationTraffic estimation, storage calculation, bandwidth planning
04Monolith vs MicroservicesArchitecture styles, when to use which, trade-offs
05Load BalancersTypes (ALB/NLB), algorithms, health checks, session persistence
06API GatewayRouting, rate limiting, auth, aggregation, versioning
07Caching StrategiesCache types, eviction policies, CDN caching, cache invalidation
08Database SelectionSQL vs NoSQL, sharding, replication, CAP theorem in practice
09Message QueuesSQS, Kafka, RabbitMQ, pub/sub, async processing patterns
10Event-Driven ArchitectureEvents, event sourcing, CQRS, saga patterns
11CDN DesignContent delivery, edge caching, dynamic vs static content
12Authentication ArchitectureOAuth 2.0, JWT, SSO, session management, token storage
13File Storage ArchitectureObject vs block vs file storage, S3, CDN integration
14Monitoring & ObservabilityLogs, metrics, traces, dashboards, SLI/SLO/SLA
15High AvailabilityRedundancy, failover, multi-AZ, active-passive/active-active
16Disaster RecoveryRPO/RTO, backup strategies, DR plans (pilot light, warm standby)
17Cloud ArchitectureAWS/Azure/GCP patterns, multi-cloud, hybrid cloud, cost optimization
18Multi-Tenant SystemsTenant isolation, data partitioning, rate limiting per tenant
19Real-Time SystemsWebSockets, server-sent events, pub/sub, low-latency design
20System Design InterviewsFramework, template, common questions, mock interviews

Each case study follows a consistent template: Problem → Requirements → Architecture → Components → Data Flow → Trade-offs → Scaling.

#Case StudyKey Concepts
1Design URL ShortenerKey generation, redirection, analytics, sharding
2Design WhatsAppReal-time messaging, presence, end-to-end encryption
3Design NetflixVideo streaming, CDN, recommendation engine
4Design YouTubeVideo upload, transcoding, global distribution
5Design UberRide matching, geolocation, real-time tracking
6Design InstagramFeed generation, media storage, social graph
7Design Google DriveFile sync, versioning, conflict resolution
8Design Notification SystemPush/email/SMS, delivery guarantees, templating
9Design Payment GatewayTransaction flow, idempotency, reconciliation
10Design Search EngineCrawling, indexing, ranking, query processing

  • Basic understanding of web applications (client-server model)
  • Familiarity with databases (SQL and NoSQL concepts)
  • Basic knowledge of networking (HTTP, TCP/IP)
  • No prior architecture experience required — this track starts from fundamentals

  • Each page follows a consistent template: Problem → Requirements → Architecture → Components → Data Flow → Trade-offs → Scaling → Interview Questions → Real-World Examples
  • Mermaid diagrams illustrate every architecture and flow
  • Pages end with key trade-offs and in simple words summaries
  • Case studies apply everything you’ve learned to real-world systems

Start with 01 — Introduction to HLD to begin your journey!