Don't memorize static diagrams. Learn how to derive scalable, resilient, and cost-effective architectures from first principles—spanning HLD, LLD, distributed consensus, machine coding, and 2026 AI-native agentic systems.
Tailored progression roadmaps designed to take you from foundational computer mechanics to Staff/Principal-level architecture defense.
Start from CPU and network realities, advance through API design, persistent storage, and distributed consensus.
Software engineers wanting genuine first-principles understanding of distributed architecture.
Master the 12-step HLD framework, capacity estimations, fault tolerance, and comprehensive real-world case studies.
Mid to Senior engineers designing high-scale cloud platforms and preparing for architecture interviews.
Master SOLID principles, design patterns, thread safety, and runnable machine-coding implementations in 45–60 minutes.
Engineers preparing for low-level design, clean coding loops, and technical leadership.
Bridge distributed systems with generative AI: Reflection, Plan & Solve, Tool calling, MCP protocols, and RAG vector search pipelines.
Backend and systems architects integrating production LLMs and autonomous agent workflows.
Operate, defend, migrate, and evolve systems over five-year horizons using ADRs, fitness functions, and cost trade-offs.
Senior engineers stepping into Staff, Principal, and Lead Architect responsibilities.
Organized by foundational layers, persistence models, high-scale resilience, object-oriented design, and advanced distributed consensus.
Hardware realities, latency vs throughput, process and thread models, memory hierarchies, and core mental models for architectural reasoning.
TCP 3-way handshakes, UDP trade-offs, TLS 1.3 cryptographic handshakes, DNS resolution mechanics, and HTTP evolution through HTTP/3 and QUIC.
Stateless REST, GraphQL queries, low-overhead binary gRPC via Protocol Buffers, persistent WebSockets, SSE, idempotency keys, and backward compatibility.
B-Trees vs LSM-Trees, Write-Ahead Logs (WAL), SSTables, Bloom filters, ACID transactions, isolation anomalies, query planners, and sharding.
Cache-aside, read-through, write-through, write-back, TTL expiration, LRU/LFU eviction math, and preventing thundering herds and stampedes.
Partial failures, network partitions, PACELC theorem, quorum reads/writes, consensus via Raft and Paxos, distributed locking, and fencing tokens.
Point-to-point queues, publish-subscribe, append-only event logs, Kafka partition ordering, consumer lag, Change Data Capture (CDC), and outbox patterns.
Timeout budgets, exponential backoff with full jitter, circuit breaker state machines, bulkheads, load shedding, graceful degradation, and SLO error budgets.
Traffic estimation, peak QPS multipliers, storage and bandwidth calculations, memory sizing, connection pooling, and Little's Law for server capacity.
A 12-step architectural blueprint: decomposing requirements into scale budgets, API contracts, data models, resilient topologies, and defensible trade-offs.
The 5-step machine coding framework: clarifying requirements, domain entity modeling, SOLID principles, composition over inheritance, and thread safety.
Problem-driven design patterns: Strategy, State, Observer, Factory, Facade, plus distributed primitives like Circuit Breaker, Saga, and Transactional Outbox.
45–60 minute runnable implementations: Multi-Floor Parking Lot, Elevator Controller (SCAN algorithm), LRU + TTL Cache, and Rate Limiter engines.
Authentication tokens, RBAC vs ABAC, OAuth 2.0 / OIDC, secrets rotation, encryption at rest/in transit, threat modeling, tenant isolation, and supply chain security.
Structured logging, Prometheus metrics, distributed tracing with correlation IDs, RED & USE operational methods, alerting thresholds, and postmortems.
Regions, Availability Zones, VPC peering, L4/L7 load balancers, managed databases, Kubernetes orchestration concepts, and Infrastructure as Code.
Managing non-deterministic LLM runtimes: Reflection, Plan & Solve, Tool Use, Multi-Agent Collaboration (MCP/A2A), HITL gates, and RAG vector search pipelines.
Step-by-step evolutionary architectures from single node to global scale: URL Shortener, Distributed Cache, Real-Time Chat, and Distributed Rate Limiters.
Architecture Decision Records (ADRs), organizational domain boundaries, migration blueprints, fitness functions, tech debt governance, and reliability economics.