System Design: GraphQL Crash Course
A practical guide to understanding GraphQL in system design — how it compares to REST, when to use it, and the key concepts behind building flexible and efficient APIs.
A practical guide to understanding GraphQL in system design — how it compares to REST, when to use it, and the key concepts behind building flexible and efficient APIs.
A concise reference of key numbers every engineer should know for system design interviews and rough capacity estimations — from latency benchmarks to storage calculations.
Create an auditing system for enterprise applications which tracks user requests, resources touched & action taken. Reuse logic by leveraging hooks so that code is clean & concise. By utilizing middlewares, events & closures we're able to capture the details of requests on all our resources without duplicating code.
A concise guide to the essential principles of system design, covering scalability, reliability, maintainability, availability, and trade-offs. This post introduces the core building blocks you need to design robust, efficient, and scalable systems—crucial knowledge for system design interviews.
A distributed system is a collection of independent computers that appear to the users as a single coherent system. The key goal is to achieve scalability, fault tolerance, and high availability while maintaining consistency and performance.
Containerize multiple services using Docker for cloud deployment. Using NPM, ExpressJS, NodeJS, and Docker we create two microservices that work together to create a web app which help users learn about the wizards of Hogwarts.
A concise guide to the essential principles of system design, covering scalability, reliability, maintainability, availability, and trade-offs. This post introduces the core building blocks you need to design robust, efficient, and scalable systems—crucial knowledge for system design interviews.
A concise guide to the essential processes of system design, covering scalability, reliability, maintainability, availability, and trade-offs. This post introduces the core building blocks you need to design robust, efficient, and scalable systems—crucial knowledge for system design interviews.