Cloud Application Development: Introduction to Containers

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Questions and Answers

Match the following AWS services with their descriptions:

Amazon RDS = Managed database service Amazon Aurora Serverless = On-demand configuration that automatically scales up or down based on traffic Elastic Beanstalk = Deploying and managing web applications AWS ECS = Container orchestration service

Match the following container concepts with their definitions:

Microservices architecture = Breaking down an application into small, independent services Container orchestration = Managing and coordinating multiple containers Docker = Platform for building, shipping, and running containers Containerization = Packaging an application and its dependencies into a container

Match the following AWS services with their purposes:

Elastic Beanstalk = Deploying and managing web applications Amazon RDS = Managing relational databases Aurora Serverless = Running relational databases on-demand API Gateway = Managing API requests and responses

Match the following Docker concepts with their descriptions:

Container image = Blueprint for creating containers Dockerfile = Script for building a Docker image Container runtime = Environment for running containers Docker Hub = Registry for Docker images Signup and view all the answers

Match the following AWS services with their capabilities:

Elastic Beanstalk = Supporting both stateless and stateful applications Amazon RDS = Supporting relational databases Aurora Serverless = Scaling up or down based on traffic AWS ECS = Running containerized applications Signup and view all the answers

Match the following terms with their definitions:

Serverless = Running applications without provisioning servers Containerization = Packaging an application and its dependencies into a container Microservices = Breaking down an application into small, independent services Orchestration = Managing and coordinating multiple containers Signup and view all the answers

Match the following AWS services with their benefits:

Elastic Beanstalk = Reducing administrative burden Amazon RDS = Improving database performance Aurora Serverless = Scaling up or down based on traffic AWS ECS = Improving application scalability Signup and view all the answers

Match the following container concepts with their purposes:

Container runtime = Providing an environment for running containers Docker Hub = Storing and managing Docker images Container image = Defining the structure of a container Dockerfile = Building a Docker image Signup and view all the answers

Match the following AWS services with their features:

Elastic Beanstalk = Supporting multiple platforms Amazon RDS = Supporting multiple database engines Aurora Serverless = Automatically scaling up or down AWS ECS = Supporting container orchestration Signup and view all the answers

Match the following concepts with their descriptions:

Container orchestration = Managing and coordinating multiple containers Microservices architecture = Breaking down an application into small, independent services Containerization = Packaging an application and its dependencies into a container Serverless computing = Running applications without provisioning servers Signup and view all the answers

Match the following AWS services with their benefits:

Elastic Beanstalk = Improving application deployment Amazon RDS = Improving database management Aurora Serverless = Reducing database administration AWS ECS = Improving application scalability Signup and view all the answers

Study Notes

Introducing Containers

Shipping containers revolutionized the shipping industry by providing a standardized unit of goods, improving efficiency, increasing productivity, and reducing costs.
A container is a standardized unit of software that contains everything an application needs to run.

Evolution of Deployment Models

Bare-metal servers: applications compete for resources, library versions must be shared across applications, and hardware costs are inflexible.
Virtual Machines (VMs): isolated applications, isolated libraries, better resource utilization, but with more OS maintenance and server space required.
Containers: lightweight, efficient, and fast, highly portable, shared or isolated libraries, shared OS kernel, and better resource utilization.

Key Takeaways of Containers

A container is a standardized unit of software that contains everything an application needs to run.
Images are built from a Dockerfile and often based on other images.
Containers are runnable instances of an image with a writable layer.
A container registry is a repository of images.

Lab 8.1: Migrating a Web Application to Docker Containers

Migrating an inventory tracking application from an AWS account to run on containers.
Tasks include preparing the development environment, analyzing the existing application infrastructure, migrating the application to a Docker container, migrating the MySQL database to a Docker container, and testing the MySQL container with the node application.

Characteristics of Containers

Independent: packages all dependencies and libraries into a single, immutable object.
Designed for failure: can gracefully shut down a container when something goes wrong and create a new instance.
Disposable: start fast, fail fast, and release any file handlers.
Development and production parity: make development, testing, and production environments consistent.

Introducing AWS Container Services

Challenges of managing containers at scale: state of containers, scheduling of starts and stops, resources available on each server, and maximizing availability, resilience, and performance.
Container orchestration platforms: scheduling, placement, and service integration.

Amazon ECS and Amazon ECR

Amazon ECS: fully managed container orchestration service that scales rapidly to thousands of containers with no additional complexity.
Amazon ECR: fully managed container registry that is scalable, highly available, and integrated with Amazon ECS and Docker CLI.

Amazon ECS Solution Architecture

Choose Fargate for services subject to wide swings in demand, large workloads optimized for low overhead, small test environments, and batch workloads.
Choose Amazon EC2 for predictable resource requirements, using reserved instances to reduce costs, large workloads optimized for price, and compliance with organizational security requirements.

Elastic Beanstalk

Service for deploying and scaling web applications and services.
Automatically handles deployment details like capacity provisioning, load balancing, automatic scaling, and application health monitoring.
Provides a variety of platforms on which to build applications.

Lab 8.2: Running Containers on a Managed Service

Sofía wants to reduce the effort to maintain the application and improve its scalability by moving the database to a managed database service rather than running it in a container.
Tasks include preparing the development environment, configuring the subnets for Amazon RDS and Elastic Beanstalk, setting up an Aurora Serverless database, reviewing the container image, configuring communication between the container and the database, creating the application database objects, seeding the database with supplier data, reviewing the IAM policy and role for Elastic Beanstalk, creating an Elastic Beanstalk application, and configuring the API Gateway proxy.

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Description

Learn about containers as a crucial part of cloud application development, including their history and evolution, from shipping containers to container services.