Large Scale System Design and Architecture
Read: https://en.wikipedia.org/wiki/Systems_architecture
To be honest, this is one thing you can truly know only after a good experience of this over and over again. This is more of an art than science. You want to develop senses which let you break down a large system into small parts, to take out each of such part and decide on what services that part renders and how each of these micro-services fit together to bring about the service.
Types
Enterprise architecture
- https://en.wikipedia.org/wiki/Enterprise_architecture
- There is a great overview of various Enterprise Integration Patterns here: https://camel.apache.org/components/4.4.x/eips/enterprise-integration-patterns.html
Software architecture
- https://en.wikipedia.org/wiki/Software_architecture
- https://en.wikipedia.org/wiki/Domain-driven_design
𝗬𝗼𝘂 𝗠𝗨𝗦𝗧 𝗸𝗻𝗼𝘄 𝘁𝗵𝗲𝘀𝗲 𝟲 𝗔𝗣𝗜 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗮𝗹 𝘀𝘁𝘆𝗹𝗲𝘀.
APIs are the backbone of modern web communication, and there are multiple styles out there. Here’s a rundown of 6 API architecture styles you must know:
- REST: The classic, using HTTP requests for CRUD operations.
- GraphQL: Ask exactly what you need and nothing more, reducing data overfetching.
- WebSocket: For when the conversation goes both ways in real-time.
- gRPC: High-performance, language-agnostic, ideal for internal services.
- MQTT: The messenger service of the IoT, where devices publish and subscribe.
- Serverless: Write backend code without managing servers; let the cloud handle it.
Each style has its place, advantages, and use cases.
Tags
- Convention Over Configuration
- Design patterns
- Design principles
- Difference between Design patterns and Design principles
- Distributed Systems vs Centralized Systems
- Event driven architecture
KNOWLEDGE GAP - LEARN MORE
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10 Best System Design Courses for Coding Interviews https://medium.com/javarevisited/10-best-system-design-courses-for-coding-interviews-949fd029ce65
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https://javarevisited.blogspot.com/2022/03/how-to-prepare-for-system-design.html
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https://javarevisited.blogspot.com/2012/06/20-design-pattern-and-software-design.html
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https://javascript.plainenglish.io/8-steps-guide-to-ace-a-system-design-interview-7a5a797f4d7d
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Orchestration vs choreography
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Bounded context
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Topics
I aced the coding, but was quickly humbled by questions on load balancers, scaling, and the CAP theorem.
I learned that passing these interviews isn’t about complex code, but about mastering the core building blocks of scalable systems. If you’re starting out, here are 10 beginner-friendly concepts that will make things finally click ✅
✨ Tip: Study one concept per week and build a small demo around it.
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Load Balancing - how traffic gets spread for reliability
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Caching (CDN + Redis) - faster responses, less load
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Database Indexing - the secret to fast queries
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Horizontal vs Vertical Scaling - add bigger boxes vs. more boxes
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CAP Theorem - consistency, availability, partitions: pick two under failure
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API Rate Limiting - protect your APIs & your bill
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Message Queues (Kafka/RabbitMQ/SQS) - decouple and smooth traffic
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Content Delivery Networks (CDNs) - content closer to users = speed
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Fault Tolerance & Redundancy - survive failures gracefully
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Monitoring & Alerts (Prometheus + Grafana) - know when things break
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