Software Architecture Patterns Guide Software architecture patterns are fundamental templates or solutions to recurring architectural problems that arise during the design of software systems. They provide generalized structures for organizing…
Microservices Architecture Patterns: Complete Guide Microservices architecture breaks down an application into small, loosely coupled, independently deployable services that focus on a specific business function. These services communicate over a…
Both Two-Phase Commit (2PC) and Saga are strategies used to ensure distributed transaction management in a microservices architecture where multiple services interact with each other and maintain consistency across services.…
Microservices Architecture Cheatsheet Microservices is an architectural style where a system is composed of a set of loosely coupled, independently deployable services. Each service focuses on a single business capability,…
System Design Cheatsheet System design is crucial for building scalable, robust, and efficient systems. This cheatsheet provides a quick reference to key concepts, best practices, and common patterns in system…
Data Structures & Algorithms (DSA) Cheatsheet This cheatsheet provides a quick reference to the most important concepts, data structures, and algorithms that you’ll encounter while studying DSA. It's perfect for…
High-Level Design (HLD) vs Low-Level Design (LLD) Cheatsheet When developing software systems, High-Level Design (HLD) and Low-Level Design (LLD) are two crucial stages in the design process. They serve different…
Comprehensive Guide to REST API Design Designing a REST API involves multiple considerations to ensure your API is scalable, secure, maintainable, and user-friendly. Below is a detailed guide covering the…
List of All Software Design Patterns Software design patterns are categorized into three main types based on their primary function: Creational, Structural, and Behavioral patterns. Each design pattern provides a…
1. Key Concepts Thread: A lightweight process with its own execution path. Concurrency: Multiple tasks making progress within the same time frame. Parallelism: Tasks running simultaneously on multiple processors. 2.…