Vandana DLT & Blockchain Architect/CTO @TokenizationX

Your ultimate API Design cheat sheet. Bookmark this. Don't design mediocre APIs. > Idempotency > Pagination (Cursor vs. Offset) > GraphQL vs. REST vs. gRPC > API Gateway vs. BFF > WebSockets vs. Long Polling > Versioning Strategies > Optimistic Locking > Throttling & Quotas

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Shalini Goyal @goyalshaliniuk

10 months ago

Most engineers struggle with system design interviews not because they lack knowledge – but because they lack structure. You don’t need to memorize 100 different architectures. You need a clear, repeatable framework to tackle any system design problem. After analyzing 30 key system design concepts, I’ve put together this one-page cheat sheet to help you: 1. Scale like a pro – Auto-scaling, horizontal scaling, database sharding, and CDN strategies. 2. Manage data efficiently – Data partitioning, NoSQL, SQL transactions, and indexing best practices. 3. Ensure reliability & fault tolerance – Load balancing, redundancy, heartbeat mechanisms, and event-driven architecture. 4. Master caching strategies – Read-through vs. write-through caching, Denormalise Databases, and Distributed Caching. 5. Design flexible architectures – Microservices, async tasks, and avoiding over-engineering. 6. Define problems before jumping into solutions – System constraints, trade-offs, WebSockets, and security. This is the ultimate cheat sheet I wish I had before my system design interviews. Save this post for your next interview prep. Share it with a friend who’s preparing for system design interviews. What’s the hardest part of system design interviews for you? Let’s discuss in the comments.

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Shalini Goyal @goyalshaliniuk

11 months ago

System Design feels like a maze. So many terms. So many components. What if you had a clear map? No fluff? Just the 13 core concepts you actually need to master - this one-page guide breaks it all down: From the fundamentals to real-world systems, in a path that actually makes sense. 👇 1–3: Scaling the Foundation Start by learning how to scale databases and use caching to reduce load and speed up access. Understand load balancers for distributing traffic efficiently and keeping systems responsive under load. 4–6: Architecting Your System Dive into microservices to decouple applications, then build event-driven flows using producers and consumers. Learn how API gateways and reverse proxies manage traffic, enforce rules, and secure communications. 7–9: Enhancing Reach & Visibility Deploy Content Delivery Networks (CDNs) to serve global users faster. Use Observability & Monitoring tools like Prometheus and ELK Stack for performance insights. Focus on High Availability setups to ensure systems stay online during failures. 10–13: Designing for Trust & Recovery Secure your applications with Authentication, Encryption, and Access Controls. Plan for disasters with Fault Tolerance strategies and clear recovery objectives. Master Consistency Models and Consensus Algorithms like Paxos/Raft. Finally, study Real-World Examples like Instagram and WhatsApp to see these systems in action. ✅ Use this guide as your reference when building scalable, reliable, and secure distributed systems—one concept at a time.