Deploying Docker Containers to Amazon Web Services

Create a simple node.js app with Express and Morgan, expose three endpoints to read, increment, and decrement a counter, and package it with Docker for testing the service.

Create an ecs cluster in the aws management console and launch ec2 instances with the amazon linux ami to run your application.

Define a task definition for service using the AWS console or CLI, specifying container definitions, image, memory, CPU, port mappings, essential flag, and environment variables to create a revision JSON.

Schedule an easy task definition as a service inside an ECS cluster using the AWS console or CLI, then verify it with DNS-based requests and delete it.

Extend a sample service to a multi-container setup with Redis persistence. Learn to read and persist the count using get, increment, and decrement operations backed by an external database.

Link two containers in a multi-container task definition to connect the sample service with the read us container for persistence, set memory and cpu limits, essential flags, and port mappings.

Connect containers across separate task definitions using automatic elastic load balancer registration. Set up a load balancer, define container tasks, register services, and verify end-to-end connectivity.

Learn to launch a multi-container task as an AWS ECS service, verify deployment by adjusting task counts, and test the service with HTTP requests to its DNS.

Access container logs via ssh into the ecs cluster and run docker logs -f on containers, then enable and view CloudTrail to monitor API activity and cluster events.

Forward container logs to an external aggregator using the logs tool, configure a task definition and docker socket, and verify log delivery to paper trail.

Master CloudFormation basics to automate deploying docker-based stacks on AWS using templates, parameters, mappings, resources, outputs, references, and intrinsic functions.

Define a cloudformation template to provision an ecs cluster with scaling, load balancers, and ecs task definitions for deploying sample service containers, using parameters for cluster size and instance type.

Learn how to update a running CloudFormation stack in AWS, including changing parameters and cluster size, applying in-place updates or replacements, and validating with health checks and stack events.

Learn to emulate a Docker cluster locally with Docker Compose to mirror production for development and testing, running two containers (wed and read service) and stopping with docker-compose stop.

Explore major alternatives to Amazon's container service by surveying the Karoge ecosystem, the Docker ecosystem, Choros ecosystem, and related tooling for clustering, scheduling, and virtual networking.

Learn how AWS elastic container service simplifies deploying docker-based systems with automatic placement and recovery, supports load balancers, and enables consul-based service discovery, health checks, and a distributed key-value store.