This article delves into the realm of building highly scalable applications using serverless computing technologies such as AWS Lambda, Azure Functions, or Google Cloud Functions. It outlines best practices including decomposing applications into microservices, leveraging asynchronous processing, optimizing function size and execution time, utilizing managed services, implementing auto-scaling and load balancing, and employing caching and content delivery. Furthermore, it discusses architectural patterns such as event sourcing, CQRS, saga pattern, and fan-out/fan-in for designing scalable serverless applications. By following these guidelines and embracing serverless computing, developers can create applications that effortlessly scale to meet growing demands and fluctuating workloads, while focusing on building innovative solutions without the burden of infrastructure management.

This article explores the evolution and advantages of serverless architecture for senior developers. It traces the development of serverless computing from its roots in PaaS and FaaS models to its current state, highlighting key concepts such as event-driven design and microservices. The article emphasizes the scalability, cost-effectiveness, and increased productivity offered by serverless architecture, making it an attractive option for modern development teams. With its pay-per-use billing model, auto-scaling capabilities, and simplified operations, serverless computing enables developers to focus on writing code and delivering value to end-users, driving innovation and business growth in today's digital landscape.

This article explores the best practices for leveraging Continuous Integration and Continuous Delivery (CI/CD) in conjunction with microservices architecture. It emphasizes modular development, automated testing, independent deployments, service monitoring, scalable infrastructure, version control, and dedicated CI/CD pipelines. By combining CI/CD and microservices, organizations can build scalable and resilient applications that can adapt to changing business needs. The use of automated processes, independent deployments, and comprehensive testing ensures the quality and reliability of individual microservices, while monitoring and observability practices contribute to the overall health and performance of the application. Embracing these practices enables teams to deliver high-quality software at scale and stay competitive in the dynamic landscape of modern software development.

Microservices architecture has become increasingly popular for building scalable systems, and this article explores why this is the case, as well as some best practices for working with microservices.

Explore how to use AWS ECS (Elastic Container Service) to deploy and manage microservices-based architectures for your backend applications.