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Curriculum v2.0 • 100% AWS-First Architecture

Master Modern System Design with Production Depth.

Production-grade system design blueprints, first-principles distributed primitives, mathematical capacity sizing, and failure playbooks mapped directly to AWS managed cloud infrastructure.

Architect high-scale distributed systems across 8 specialized tracks and 36 production blueprints — including Distributed Key-Value Stores, Rate Limiters, Realtime Gaming Leaderboards, Notification Engines, and Metrics Monitoring. Deep-dive into 30 distributed primitives (Consistent Hashing, Raft Consensus, LSM-Trees, Bloom Filters, Two-Phase Commit) with concrete AWS mappings (Amazon DynamoDB, S3, Aurora Serverless, Kinesis, SQS, ElastiCache, ECS Fargate), real-time Mermaid architecture diagrams, and mathematical capacity calculations engineered for Staff and Principal SWE interviews.

30

Component Primitives

36

Mastery Blueprints

8

Specialized Tracks

100%

AWS Managed First

The Strict 10-Stage Production Blueprint Standard

Every system design problem in this curriculum adheres to an uncompromising, multi-tier engineering specification built for real-world reliability and staff-level interview execution:

1. Problem Scope
2. Capacity Sizing
3. High-Level Arch
4. Data Model
5. AWS Topology
6. Deep-Dive Flows
7. Failure Modes
8. Trade-Off Matrix
9. Bottlenecks
10. Summary

System Design Sizing & Study Planner

Calculate daily architecture pacing to master all 36 production blueprints & 30 distributed primitives

Interview Timeline60 Days
14 days (Rush)60 days (Recommended)120 days (Staff/Architect)
Daily Study Commitment45 Min / Day
15m (1 Primitive)45m (1 Blueprint)90m (Staff Double-Session)
Curriculum Coverage:100% (36/36 Blueprints • 30/30 Primitives)
+5h Buffer for Mock Interviews & Failure Drills
Practice Volume
45 hrs
Distributed systems budget
Weekly Cadence
7 / week
10-stage blueprints
Daily Pacing
0.6 / day
Target daily cadence
Projected Ready
Nov 17, 2026
Senior SWE Balanced Pacing

Production Capacity Sizing Calculator

First-principles back-of-the-envelope throughput, network, and storage modeling

Presets:

Scale Parameters

M users
ops/day
:1(Read-Heavy)
KB
5 yrs
2x

Live Mathematical Sizing

Throughput (QPS)
11,574 avg
23,148 peak (2,104 W / 21,044 R)
Bandwidth
17.24 Mbps in
172.39 Mbps egress
Daily Ingestion
173.40 GB /day
0.91 PB (5 yrs, 3x)
ElastiCache RAM
346.8 GB
80/20 Hot Working Set
AWS Recommended Sizing:
DynamoDB / Aurora:2,104 WCU / 21,044 RCU
ECS Fargate Tasks:~16 tasks (4 vCPU, 8GB)
ElastiCache Cluster:~14x cache.r6g.xlarge nodes