This article discusses how to choose a software architecture based on project size, domain features, runtime performance requirements, and flexibility needs. It emphasizes that there is no one-size-fits-all solution and advocates for selecting patterns as tools tailored to specific circumstances.
This article dives into designing a scalable distributed job scheduling service that can handle millions of tasks. It covers system components, API design, scaling strategies, handling failures, and addressing single points of failure.
This article explains the differences between monoliths and microservices, their benefits and tradeoffs, and provides heuristics to help you decide which architecture is best for your application.
