Amazon Aurora (Aurora) is a fully managed relational database engine that's compatible with MySQLand PostgreSQL. This AWS documentation consists of the official User Guide of Aurora.

Amazon Relational Database Service (Amazon RDS) is a web service that makes it easier to set up, operate, and scale a relational database in the cloud. This documentation provides you with detailed information on RDS and Aurora services.

Amazon DocumentDB (with MongoDB compatibility) is a fast, reliable, and fully managed database service that makes it easy for you to set up, operate, and scale MongoDB-compatible databases. This documentation provides you with detailed information on these topics.

Running Container-Enabled Microservices on AWS is designed to teach you how to manage and scale container-enabled applications by using Amazon EC2 Container Service (ECS).

Nomad is a flexible workload orchestrator that enables an organization to easily deploy and manage any containerized or legacy application using a single, unified workflow. Nomad can run a diverse workload of Docker, non-containerized, microservice, and batch applications

In this workshop, we will explore multiple ways to configure VPC, ALB, and EC2 Kubernetes workers, and Amazon Elastic Kubernetes Service.

In this workshop, we will launch a frontend and multpile backend services on AWS Elastic Container Service, and explore how you might adopt this workflow into your environment.

This course teaches you the basics of the Amazon Elastic Kubernetes Service (EKS). You will learn about the implementation of containers on AWS using EKS and complementary services. You will also learn about how communications and management are performed in EKS.

This course goes beyond the basic concepts and benefits of containerization and teaches you more about the Amazon Elastic Container Service (ECS). You will learn about the implementation of containers on AWS using ECS and complementary services, such as the Amazon Elastic Container Registry (ECR). You will also learn about common microservices scenarios.

Best practices for optimizing your cloud costs in GCP