architecture

System Design
for Architects

Moving from "how do I code this?" to "how does this scale?"

"System design is the art of trade-offs. There are no perfect solutions, only choices that fit specific constraints better than others."

engineeringThe Philosophy

  • Start with the hard limits
  • Know your building blocks deep
  • Embrace distributed chaos

Scale breaks everything eventually.

The Curriculum

gavel
Phase 0

Mastering the Interview The Protocol

Start Phase arrow_forward

The 45-minute blueprint. How to structure your answer, ask clarifying questions, and manage time.

check_circleThe 45-Minute Breakdown
check_circleClarification & Constraints
check_circleHigh-Level Design Essentials
check_circleDeep Dive Framework
check_circleHandling Trade-offs Verbalized
speed
Phase 1

The Hard Limits Foundations

Start Phase arrow_forward

Understanding the physical and networking constraints that govern every system.

check_circleLatency vs Throughput
check_circleReliability & Availability
check_circleVertical vs Horizontal
check_circleThe Request Journey
check_circleBack-of-Envelope Math
check_circleNetworking & Fallacies
construction
Phase 2

The Toolkit Core Components

Start Phase arrow_forward

Deep dives into the building blocks. Load balancers, caches, databases, and specialized storage systems.

check_circleData Modelling: SQL vs NoSQL
check_circleAPI Design & Idempotency
check_circleConsistent Hashing Ring
check_circleLoad Balancing & Caching
check_circleMessage Brokers (Kafka)
check_circleTime Series & Vector DBs
hub
Phase 3

The Rules of Chaos Distributed Systems

Start Phase arrow_forward

How things break and how to handle it. Consistency, consensus, and partitioning.

check_circleCAP Theorem (Dedicated)
check_circleConsistency Models
check_circleReplication Strategies
check_circlePartitioning & Sharding
check_circleTransactions & Sagas
check_circleDistributed Consensus
domain
Phase 4

Architectural Patterns Strategy

Start Phase arrow_forward

Strategic approaches to system organization. Monoliths, microservices, and event-driven flows.

check_circleMonolith vs Microservices
check_circleEvent-Driven Architecture
check_circleGateway vs Service Mesh
check_circleBatch vs Stream Processing
check_circleObservability & Monitoring
analytics
Phase 5

Data Engineering & Analytics Processing at Scale

Start Phase arrow_forward

Stream processing, data warehousing, ETL pipelines, and event-driven architectures for data-intensive systems.

check_circleStream Processing (Kafka, Flink)
check_circleData Warehousing & Lakes
check_circleETL/ELT Pipelines
check_circleChange Data Capture (CDC)
check_circleEvent Sourcing & CQRS
check_circleBatch vs Stream Processing
settings_suggest
Phase 6

Advanced Infrastructure Production Operations

Start Phase arrow_forward

Running systems at scale. Observability, serverless, Kubernetes, service mesh, and chaos engineering.

check_circleObservability Stack
check_circleServerless Architecture
check_circleContainer Orchestration (K8s)
check_circleService Mesh (Istio)
check_circleChaos Engineering
check_circleDeployment Strategies
security
Phase 7

Security & Optimization Hardening & Performance

Start Phase arrow_forward

Authentication, authorization, API security, database optimization, and performance tuning for production systems.

check_circleAuth (OAuth, JWT, RBAC)
check_circleAPI Security & DDoS
check_circleDatabase Query Optimization
check_circleConnection Pooling
check_circleReal-Time (WebSockets, SSE)
check_circlePerformance Profiling