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News Aggregator System Design
This blog frames a news aggregator as a distributed pipeline problem. It covers the full article lifecycle, ingestion reliability, deduplication limits, freshness vs relevance trade-offs, caching strategy, spike handling, observability, and scaling math. The key takeaway: strong answers prioritize data flow clarity and failure containment over feature-level sophistication.
Zarish Khalid
Feb 20 · 2026
X System Design Interview
Prepare for the X System Design interview with this in-depth guide on timelines, ranking, real-time fan-out, graph modeling, spam prevention, and large-scale architecture.
Mishayl Hanan
Feb 20 · 2026
Distributed Job Scheduler System Design
This blog shows how to design a distributed scheduler by walking through the job lifecycle, execution guarantees, leader coordination, failure handling, observability, and capacity planning. The key message: strong candidates reason clearly about uncertainty and trade-offs rather than promising perfect reliability.
Zarish Khalid
Feb 19 · 2026
Adyen System Design
This blog shows how to approach an Adyen System Design interview by thinking globally. It covers payment lifecycle flows, dynamic routing, retries, compliance constraints, failure isolation, and capacity planning. The key message: senior-level answers prioritize correctness, regulation, and global resilience over simple API design.
Khayyam Hashmi
Feb 18 · 2026
Unique ID Generator System Design
This blog explains how to approach the Unique ID Generator problem like a senior engineer. It covers requirement clarification, trade-offs between centralized and distributed designs, time-based vs random IDs, failure modes, capacity planning, observability, and security considerations. The core message: interviews reward clear reasoning and explicit trade-offs more than memorized algorithms.
Zarish Khalid
Feb 18 · 2026
Yelp System Design Interview
Prepare for the Yelp System Design interview with this expert guide covering search, reviews, photos, ranking, geolocation, caching, and scalable system architecture.
Mishayl Hanan
Feb 18 · 2026
LLM System Design Explained
LLM System Design explained, covering inference orchestration, GPU scheduling, context management, scalability, latency optimization, and cost trade-offs.
Mishayl Hanan
Feb 17 · 2026
Generative AI System Design Explained
Generative AI System Design explained, covering inference orchestration, safety pipelines, scalability, latency trade-offs, cost optimization, and real-world architecture.
Mishayl Hanan
Feb 16 · 2026
ByteDance System Design Interview
Prepare for the ByteDance System Design interview with this expert guide covering ML ranking, video pipelines, moderation, scalability, and global distributed systems.
Mishayl Hanan
Feb 13 · 2026
