HeyJaredSystem Design Interview Roadmap
System Design Interview Roadmap - Step by step process that will make you comfortable, familiar and then expert at System Design.
- Indexed issues, last 90 days
- 11
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- Sep 29, 2026
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- Sep 6, 2026
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Design an API Gateway — Walkthrough (opens the original)
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The probeThe API gateway is a cross-cutting infrastructure component that every FAANG-tier system uses. The question tests whether you understand authentication, rate limiting, routing, and load balancing as composable middleware layers — and what the operational challenges are when this component is in the critical path of every API call.Step 1 — Clarify- What features: auth, rate limiting, routing, load balancing, caching, request transformation, observability?- Scale: 1M req/sec aggregate acr
India Engineers Targeting FAANG: What's Different and What Isn't (opens the original)
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The system design interview is the same interview in Bangalore as it is in San Francisco. The questions, the rubric, the archetypes — identical. An L5 system design answer in India is an L5 system design answer anywhere.But the path to the interview room, the logistics surrounding it, and the context after an offer are different in ways that matter. Here’s what actually differs.System Design Interview Roadmap is a reader-supported publication. To receive new posts and support my wo
Quantization & Pruning — Optimizing Models for Edge Deployment (opens the original)
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Date Notice: Today is September 25, 2026. This article reflects knowledge verified through January 2026. Specific benchmark numbers, chip specs, and framework version details should be checked against current vendor documentation before you cite them anywhere serious.A Pixel phone running a 7B parameter model on-device sounds impossible until you check the math twice. Full precision, that model needs 28GB of memory just to hold the weights — more RAM than the phone has, period. Ship the same mod
Design a Metrics Monitoring System (Datadog) — Walkthrough (opens the original)
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The probeTime-series data at massive scale. The interesting problem is write throughput (millions of metrics per second from thousands of servers) vs query throughput (interactive dashboards needing sub-second response over months of data). These two requirements pull the architecture in opposite directions — you optimize writes by sequential append, you optimize range queries by pre-aggregation.Step 1 — Clarify- What types of data: metrics (numeric time-series), logs (text events), traces (dist
Message Queues: Kafka vs SQS vs Task Queue (opens the original)
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Three technologies for moving work between services. Frequently confused. Used interchangeably in interview answers. Rarely the same answer in production.Here’s how to tell them apart and when to reach for each one.System Design Interview Roadmap is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.<
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