Category System Design

Introduction Serverless architecture represents a paradigm shift in cloud computing, where developers focus on writing code without managing underlying infrastructure. Serverless computing, exemplified by platforms like AWS Lambda, Google Cloud Functions (GCP Functions), and Azure Functions, enables event-driven systems that automatically scale, execute code…

Introduction Kubernetes is an open-source platform for orchestrating containerized workloads, enabling automated deployment, scaling, and management of applications in distributed systems. It is a cornerstone of cloud-native design, providing robust mechanisms to achieve high availability (e.g., 99.999% uptime), scalability (e.g., 1M req/s),…

Introduction In modern application deployment, containers and virtual machines (VMs) are two foundational technologies that provide isolation, portability, and scalability for running applications in distributed systems. Both are critical for achieving high availability (e.g., 99.999% uptime), scalability (e.g., 1M req/s), and flexibility in cloud-native…

Introduction Cloud computing has transformed how organizations build, deploy, and scale applications, enabling high availability (e.g., 99.999% uptime), scalability (e.g., 1M req/s), and cost efficiency. Cloud service models—Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and Function…

Introduction Cloud-native design refers to an architectural approach that leverages cloud computing to build and operate scalable, resilient, and agile applications optimized for dynamic, distributed environments. Unlike traditional monolithic architectures, cloud-native systems are designed to exploit cloud capabilities such as elasticity,…

Introduction In modern distributed systems, APIs are critical for enabling communication between services, clients, and external systems, particularly in microservices architectures handling high-scale traffic (e.g., 1M req/s) and requiring high availability (e.g., 99.999% uptime). As systems evolve, APIs must adapt…

Introduction In large-scale web applications, traditional monolithic front-end architectures often become unwieldy, leading to challenges in scalability, maintainability, and team autonomy. Micro Frontends extend the microservices philosophy to the front-end, enabling independent development, deployment, and scaling of UI components or entire sections…

Introduction In microservices architectures, managing inter-service communication is a complex challenge due to the distributed nature of systems, requiring robust solutions for scalability (e.g., 1M req/s), resilience (e.g., 99.999% uptime), security, and observability. A Service Mesh is a dedicated infrastructure layer that…

Introduction In microservices architectures, ensuring system resilience is critical to maintain high availability (e.g., 99.999% uptime) and handle failures gracefully under high load (e.g., 1M req/s). Resiliency patterns such as Circuit Breaker, Bulkhead, Retry, and Timeout address these challenges by mitigating cascading failures, isolating faults, and managing…