AWS Compute Architecture: Containers, Serverless, and Hybrid Models

Selecting the right compute strategy is the foundation of any successful cloud deployment. With so many options available in AWS, understanding when to use traditional virtual servers, containerized environments, or serverless functions is essential for modern cloud professionals. This text-based course guides you through the core concepts of AWS compute services, helping you make informed architectural decisions that optimize both performance and cost. By reading through this comprehensive guide, you will transition from understanding basic cloud concepts to designing structured compute strategies. You will learn how to evaluate different compute models, manage scaling, and implement hybrid architectures that bridge on-premises resources with the cloud. What you'll learn: - Understand the fundamental terminology of cloud virtualization, containerization, and serverless computing. - Compare EC2 instances, container services like ECS and EKS, and serverless AWS Lambda to select the ideal tool for your workload. - Configure auto-scaling and load balancing strategies to handle fluctuating traffic efficiently. - Apply hybrid cloud architectures to connect on-premises data centers with AWS resources. - Explore modern observability and monitoring concepts to track compute health and performance. - Learn basic Infrastructure as Code concepts to deploy and manage your compute configurations consistently. The course begins with essential definitions and foundational principles before exploring specific compute paradigms, practical design patterns, and optimization techniques. You will analyze written architectural scenarios and configuration examples to see how these services function in production environments. This course is designed for beginners, aspiring cloud architects, and system administrators looking to establish a strong foundation in AWS compute models. No prior cloud experience is required to start. Begin reading today to master the core pillars of AWS compute design.