The Art of Sharding — Part I: The Foundation (Easy)
> "The secret to building large systems is not building large systems. It is building small systems that work together."
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Multi-Agent System Architectures: Fundamental Patterns for Coordinating Autonomous Systems
> Stop Building Fragile Agents: 8 Architectures for Resilient AI Systems
3Part 1: Requirements & Domain Model
Imagine a library with millions of books but no index. The only way to find "Sci-Fi" is to walk every aisle. That is your content platform without tags.
4Part 2: Basic System Design (MVP)
Before we worry about sharding and eventual consistency, let's solve the core problem. How do we store a tag?
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Fresh insights and recent updates across system design topics.
Staff-Level Feedback & Practice Plan (Distributed Cache)
This note turns a real interview-style evaluation into a checklist + drills you can reuse.
Article 1: Why Caching Matters
The hidden infrastructure behind every fast website.
Article 10: Battle-Tested Patterns & Production Mastery
The difference between a system that works on a whiteboard and one that survives Black Friday.
Article 2: Building Your First Cache (MVP)
Simplicity is the ultimate sophistication.
Articles 4-6: Reference Designs (Memcached, Redis, Hazelcast)
Not a usage guide — a “what to steal” guide.
Articles 7-9: Specialized Caching Layers
Beyond the standard RAM architecture.
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Curated essential reads for system design mastery.
Part 1: Foundations - Top K YouTube Videos System
Imagine you're at YouTube's HQ. A user opens the "Trending" tab on their phone. Within milliseconds, they see the top 100 videos trending RIGHT NOW in their region. No lag, no s...
Designing a Web Crawler: Foundations
A web crawler is a backend system that continuously discovers URLs, fetches content from the public web, extracts useful signals (text, metadata, links), and pushes the processe...
Designing a Web Crawler: Scale Analysis
At small scale, a single queue + a few crawlers works fine. At 100K URLs/sec, several things become the “real” system design problem.
Designing a Web Crawler: Deep Dive (Approach A - Kafka Frontier)
The hardest part of a high-throughput crawler is not “fetch a page”. It’s coordinating millions of URLs across 100+ nodes while:
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Getting Started
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Architecture Patterns
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Design Patterns
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Scalability
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System Design/design Distributed Cache
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- Article 1: Why Caching Matters
- Article 2: Building Your First Cache (MVP)
- Article 3: Scaling Challenges & Trade-offs
- Articles 4-6: Reference Designs (Memcached, Redis, Hazelcast)
- Articles 7-9: Specialized Caching Layers
- Article 10: Battle-Tested Patterns & Production Mastery
- Staff-Level Feedback & Practice Plan (Distributed Cache)
Architecture Patterns/sharding
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System Design/design Web Crawler
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- Designing a Web Crawler: Foundations
- Designing a Web Crawler: Scale Analysis
- Designing a Web Crawler: Deep Dive (Approach A - Kafka Frontier)
- Designing a Web Crawler: Deep Dive (Approach B - Redis Frontier)
- Designing a Web Crawler: Security & Trust (Auth, Abuse, Compliance)
- Designing a Web Crawler: Production Readiness (SLOs, Observability, Reliability)
System Design/design Youtube
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System Design Patterns
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System Design/design Tag Management Service
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System Design/design Url Shortener
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- 01 Introduction Requirements
- Article 2: Core Entities & Architecture
- Article 3: REST API Design
- Article 4: The Core Engine (Minimal Viable Product)
- Article 5: Analysis of the Basic Approach (Limitations & Solutions)
- Article 6: Scaling Strategy & Proposed Solutions
- Article 8: Deep Dive - The Caching Strategies
- Article 7: Deep Dive - ID Generation & Hashing Strategies
- Article 9: Deep Dive - Asynchronous Processing
- Article 10: Deep Dive - Database Choice (SQL vs NoSQL)
- Article 11: The System Design Toolbox (Reusable Patterns)
- Article 12: Security & Abuse Prevention
- Article 13: Production Readiness (SRE)
- Article 14: Deep Dive - Edge Computing (The Multi-Region Future)
- Article 15: Case Studies - Bitly, TinyURL, & Twitter
- Article 16: The Deployment Guide (Infrastructure as Code)
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