Amazon ECS for DevOps: Docker, CI/CD & Deployments Hands-On

Explore containerization and the lightweight portable container that bundles code and dependencies, enabling consistent, isolated deployment across Mac, Linux, and Windows with Docker and Kubernetes.

Compare virtual machines and containers, outlining guest OS versus host, hypervisor roles, and Docker's lightweight containers. Explain portability, isolation, boot times, and use cases for monolithic apps and microservices.

Explore elastic container service (ecs) as a managed container orchestration tool on aws, covering docker, ecs instances and fargate, and its hybrid on-premises deployment with iam, load balancers, and ecr.

Compare EKS, Kubernetes, and Docker Swarm, highlighting managed versus self-managed deployments, scaling, ecosystem support, and vendor lock-in, with guidance on choosing AWS-native workloads.

Explore the key ECS components, including cluster, task definition, task, service, and container, and how they organize and run containers; compare launch types EC2 and Fargate.

Explore the ECS console walkthrough and identify clusters, task definitions, namespaces, and account settings. Learn how region choice, CloudWatch visibility, and repositories influence ECS workflows.

Explore Docker architecture as a client–server model, detailing the Docker client, Docker daemon, images, containers, and registry, and how commands like docker build, run, pull, and push interact.

Install Docker on AWS EC2 with Amazon Linux, configure security groups and key pairs, run post-installation commands to start the Docker service and verify with docker ps.

Docker images act as lightweight blueprints containing the base operating system, dependencies, and app code needed to run a container, such as Node.js, while remaining portable across registries.

Explore Docker image commands by listing, pulling, and viewing history, and learn the image naming syntax with registry, repository, and tag to manage images effectively.

Learn to list Docker images, pull new images, and view Docker image history, using legacy and new syntax in the AWS console.

Explore how to manage docker images with tags, remove (rmi), and inspect to view image metadata like id, creation date, size, environment variables, and configuration.

Tag docker images, remove them with docker image rm or rmi, and inspect them with docker image inspect, using ubuntu, busybox, and hello world examples.

Learn the basic docker container commands—run, ps, stop, and rm—and how to use options like detach mode, port mapping, container naming, and interactive shell.

Master basic docker commands by running containers with docker run, listing active and all containers with docker ps and docker ps -a, and exploring images like hello world and BusyBox.

Stop a running Docker container before removing it, then remove with docker rm or force with docker rm -f using container ID or name, and verify with docker ps -a.

Learn to run a Docker container in the background using the -d option, keeping servers like nginx running while you work, and verify with docker ps.

Learn to inspect containers for configuration, IP, volumes, and networking; rename containers; and view logs to troubleshoot and monitor applications using docker inspect, docker rename, and docker logs.

Learn how to name a docker container for clear industry identification and how to inspect it to view details such as ID, state, port mappings, and bridge network IP addresses.

Learn to rename docker containers and inspect their behavior with logs, using commands like docker container rename, docker container logs, and tail to monitor activity.

Learn how to enter a docker container, starting with docker run -it ubuntu bash and using docker exec -it <container> bash for running containers, plus basics like docker ps.

Learn docker restart policies to automatically restart containers after crashes, memory errors, or exits, including default no, always, and configurable retry counts to improve availability.

Learn how to configure docker restart policies and simulate failures using a script, docker run, and docker inspect to restart containers on failure up to a set retry limit.

Learn how port mapping gives external access to docker containers by mapping host ports to container ports with docker run -p, including host port 8080 to container port 80.

Learn how to access applications running in docker containers by inspecting containers, testing with curl using container IPs, and port-mapping containers to the host for browser access.

Map host to container ports with -p to access your app in a browser. Expose nginx on 80 using different host ports like 8080 or 81 and avoid collisions.

Learn how a dockerfile automates image creation and ensures consistency across environments. Cover base images such as alpine, run and copy commands, working directory, environment variables, and entry point.

Create a Dockerfile using ubuntu as the base image with a CMD that echoes hello world, then build with docker build -t test image and run with docker run.

Explore the Dockerfile workflow, focusing on the workdir and copy commands with hands-on examples, and learn to build and run images using docker build and docker run.

Learn to use the RUN command in a Dockerfile to install dependencies, update Ubuntu, and install git, then build and run the Docker image.

Compare docker cmd versus entrypoint, and learn practical use cases for fixed commands and passed arguments in a dockerfile. Build and run ubuntu-based images to see hello world behavior.

Discover how to log in to docker with a password or access token, and apply token-based authentication for security. Then create a custom image and push it to docker.

Push docker images to docker hub by building a basic ubuntu image with a dockerfile, tagging versions, and pushing with docker login using access tokens; manage repositories and multi-version pushes.

Define and run multi-container applications with docker compose using a yaml file, enabling scalable services, networks, and volumes, and simplifying local development and ci pipelines.

Install docker compose on a Linux server, which doesn't come directly with Docker, by manually downloading and pasting the commands, then set permissions for all users and verify the version.

Explore the docker compose format, including optional version, naming the compose project, using docker compose up with a space, and the option of compose.html or compose.yaml, in a unified way.

Learn to set up a Node.js web page and a Redis database using docker compose, with a docker file and a docker-compose.yaml for port 3000 and service dependencies.

Learn docker compose basics: up, build, and down to manage services; understand up versus build and monitor containers with docker compose ps and docker ps.

Understand ecs clusters as logical groupings of compute resources where containers run, and compare fargate and ec2 launch types, covering isolation, networking, scheduling, and task placement.

Learn how the ECS instance role registers EC2 instances with an ECS cluster, enabling ECS actions, image pulls from ECR, CloudWatch logs, SSM, and Secrets Manager access.

Create and configure an ECS cluster using Fargate and EC2 options, explore launch types, encryption with KMS, and observability with CloudWatch while managing Auto Scaling, VPC, and security settings.

Explore ECS managed instances, a fully AWS-managed option between Fargate and EC2, with patching, scaling, Bottlerocket OS biweekly patches, and cost-efficient reserved instances.

Master hands-on creation of an ecs managed instances default cluster, selecting fargate and managed, configuring instance profiles, infrastructure and instance roles, with container insights and kms-based encryption.

Explore ECS managed instances by creating a custom cluster, configuring custom CPU cores and memory, and understanding that auto scaling and container instances are managed differently from default settings.

Learn how a versioned task definition acts as the blueprint for Docker containers in ECS, detailing container definitions, cpu and memory, network mode, logging, and revisions.

Learn AWS Fargate's AWS VPC network mode, where each task has its own ENI and private IP for isolation, with security groups, NACLs, subnets, and ALB or NLB integration.

Explain each task definition component and how to configure a Fargate task or EC2 task, including image, CPU/memory, ports, roles, and optional storage and monitoring.

Explore ecs tasks as running instances of a task definition, covering launch types, containers, networking, iam roles, environment variables, and health checks, with manual and service-based auto healing.

Launch and manage an nginx test task on Fargate by selecting the latest compatible task definition and configuring VPC networking for external access.

Explore the monitoring aftermath of ECS task creation, including logs, CloudWatch, container insights, and network details such as subnets, security groups, and IP addresses.

Explore the EC2 network modes—bridge, AWS VPC, none, and host—and learn how the default bridge enables external access, ENI assignment, and varying isolation for Docker containers.

Learn how Amazon ECS on the EC2 launch type uses task placement strategies: spread, binpack, and random, with constraints to optimize resource use, availability, and cost efficiency.

Launch an EC2 task with AWS VPC network mode, configure the task definition and placement, and note how ENIs attach private IPs affecting nginx access.

Access ec2 aws vpc container from your terminal using linux/mac or windows tools, verify with curl to the container's private ip, and learn production access via load balancer.

Discover why stopped tasks in Amazon ECS do not restart automatically, and learn manual stopping procedures for Fargate and EC2, with logs and status updates from running to stopped.

Learn how to configure the bridge network for an ECS EC2 task with nginx, perform port mapping, and distinguish bridge from host network for scalable container deployments.

Explore deploying a host network task in EC2 using a 1-to-1 port mapping with nginx, configuring a task definition, and running a container accessible via http on port 80.

Learn how the none network mode isolates ECS EC2 tasks, creates a none network task definition, and enables troubleshooting with no port mappings, using public and private IPs.

Learn to run an ecs cluster with both fargate and ec2 capacity providers by creating a dual-capacity task definition, configuring vpc networking, and deploying nginx.

Discover cost-saving practices for aws ecs and ec2 by stopping tasks after practicing, lowering auto scaling group capacity, and using Fargate spot instances to avoid running servers.

Create ECS task definitions for managed instances, mirroring Fargate and EC2 options, select AWS VPC or host networking, and configure nginx with 0.5 vcpu and memory plus a monitoring sidecar.

Create a managed task from a task definition in a cluster using default settings; observe provisioning, auto scaling with EC2, and access via a load balancer within a VPC.

Create a custom managed task in Amazon Elastic Container Service (ECS), provision a new task, and observe provisioning from pending to running with a C7 medium instance.

Learn end-to-end custom settings in Amazon Elastic Container Service to manage managed instances, architectures, and memory, then create a cluster and run a task to validate availability.

Navigate ECS clusters and cleanup managed EC2 instances by stopping tasks, draining, and terminating while handling explicit deny permissions; compare running, draining, and shutdown states to reduce costs.

Launch multiple desired tasks in fargate to demonstrate serverless scaling with a single nginx container. Configure three tasks, monitor provisioning and running states, and understand ec2 versus fargate behavior.

Discover how EC2 instance type limits cap ENIs and private IPs, limiting ECS tasks in AWS VPC mode, and learn workarounds with larger instances, more EC2s, or Fargate.

explores how to launch multiple ECS tasks on EC2 while navigating ENI limits, using a single-instance cluster, and comparing auto scaling, Fargate, and bridge networking as solutions.

Launch multiple ECS tasks on EC2 using bigger machines like t3 medium or t2 medium to run more containers on a test cluster with min and max set to one.

Master auto scaling on EC2 by adjusting the desired capacity and scaling limits to launch multiple nginx tasks; observe how new instances provision and run with the default capacity provider.

learn to run multiple ECS tasks on EC2 using the bridge network and port mappings across three task definitions with ports 80, 81, and 82 to overcome pending states.

Update task definitions by creating a new revision to swap images or configurations in ECS, such as moving from nginx to httpd, and verify running tasks on Fargate.

Perform a cleanup of the Amazon ECS environment by removing unused clusters and de-registering task definitions, preserving EC2, Fargate, and nginx for clarity.

Understand how AWS Secrets Manager stores, rotates, and manages secrets like database credentials and API keys, using automated rotation, fine-grained access, and KMS encryption for RDS and Redshift.

Explore setting up a private registry by building a Docker image from a Node.js project, pushing it to a private Docker Hub repository, and preparing for ECS usage.

Create and run a private registry image on AWS ECS using Fargate or EC2, configuring a task definition and Secrets Manager credentials for secure access.

Explore container configurations in Docker and ECS, including task definitions, restart policies, timeouts, health checks, network settings, Docker limits, labels, entry points, and running tasks on Fargate.

Schedule tasks in AWS ECS using cron expressions and Fargate, showing how to define a task (nginx) and automate runs, monitoring status from cluster to running state.

Launch multiple containers in a single ECS task definition using BusyBox and Nginx, define startup dependencies, and manage container order on AWS Fargate.

Explore how to set up container health checks in ECS to verify running status and mark containers healthy or unhealthy, using nginx with curl path checks, interval and retries.

Set up AWS system manager to remotely access EC2/ECS instances and manage docker containers by configuring IAM roles, enabling fleet manager default host management, and using session manager.

Connect to an ec2 instance directly from the AWS console using SSM session and Systems Manager to explore docker ps, root access, and alternative connect options.

Explore how ECS services maintain the desired number of task instances, enable self-healing, and support rolling and blue-green deployments with load balancing and service discovery.

Explore the Amazon ECS service console, create and configure services, select task definitions and launch types (EC2 or Fargate), set replicas and deployments, and review networking, discovery, and autoscaling options.

Distributes incoming traffic across EC2 instances in multiple availability zones, scales with demand, and performs health checks. Explains internet facing and internal load balancers, and SSL/TLS security.

launch and run two fargate tasks from a private repository, monitor with container insights and cloudwatch, and observe rolling deployments, self-healing service behavior, and basic security via secrets manager.

Launch a new Fargate service with an application load balancer created directly from ECS, configure a new target group on port 3000, and run two replicas to ensure healthy routing.

Create an IP-based load balancer for an existing ECS service, attach a matching target group, then update the service to use the new load balancer and verify healthy targets.

Explore deploying containers on Amazon ECS with EC2 and AWS VPC, creating a cluster and a private repo task for Nginx, and running multiple tasks with autoscaling.

Launches ECS service with awsvpc in AWS VPC, provisions a load balancer and target group, and runs three EC2 tasks to keep them healthy.

Create a bridge-network ECS service on EC2 by setting up a cluster, defining a task, and deploying three replicas with port 3000, while leveraging auto scaling and a load balancer.

Configure a bridge network with an application load balancer for EC2 by creating a new ELB, target group, and port 80 listener, with auto scaling across availability zones.

Relate VPC concepts to a real time society by mapping blocks to subnets, public and private access via an internet gateway, route tables, security groups, and VPC peering.

Create a custom VPC in AWS, configuring public and private subnets, a NAT gateway, and route tables, while AWS automates components and activation in the Ohio region.

Launch a private Fargate service by wiring a VPC with private subnets to an internet-facing load balancer and IP-based target group on port 3000 for three replicas.

Explore launching an ECS service on EC2 in a private VPC, with a cluster, application load balancer, target group, and private networking, monitoring tasks from provisioning to healthy running.

Launch and configure a managed instances service with a load balancer, nginx container, and two EC2 instances to ensure healthy target groups.

Learn monolithic architecture fundamentals by testing local service communication, then explore ECS with service connect and service discovery while provisioning a local EC2 setup with Node.js frontend and backend.

Dockerize a monolithic app by creating backend and frontend docker files, building images, establishing a network, and running containers to enable inter-container communication.

Create a Docker Compose file named compose.yml to run backend and frontend services with builds, ports 5000 and 3000, and a backend URL, then start with Docker Compose up.

Deploy frontend and backend on two servers with docker and an application load balancer to route /api traffic to the backend via target groups.

Learn to set up ECS with a load balancer, containerize frontend and backend, push images to Docker Hub, and configure an application load balancer with frontend and backend target groups.

Demonstrates building a two-service ECS app with Fargate: create task definitions, wire to a load balancer and target groups, enabling front-end to back-end communication.

Discover how ECS service discovery uses cloud map for DNS-based registration to connect services and tasks without manual IPs, enabling microservice communication across multiple AZs.

Learn to set up ECS service discovery with Cloud Map, create a namespace, and use DNS-based routing for inter-service communication, reducing reliance on load balancers.

Demonstrates a practical service discovery workflow in ECS: create frontend and backend task definitions, use a namespace, register with a load balancer, and verify health and scaling.

Explore AWS service connect, an advanced feature that enables secure, multi-cluster service-to-service communication across accounts and VPCs with DNS-based naming and encrypted traffic.

Set up two clusters, a namespace, and a load balancer to enable service connect with app mesh for inter-service communication, alongside service discovery concepts.

Learn to implement ECS Service Connect end-to-end by creating backend and frontend task definitions, configuring namespace discovery and DNS, and deploying with Fargate and load balancer.

Perform end-to-end cleanup of an ECS project by deleting services, tasks, namespace, service discovery records, task definitions, load balancers, and target groups to prevent ongoing costs.

Compare service discovery and service connect in ECS, highlighting when to use DNS-based simple communication versus cross-VPC mesh for secure routing and multi-account setups.

Explore AWS CodePipeline, a fully managed CI/CD service that automates source, build, test, and deploy stages, integrating GitHub, Jenkins, Bitbucket, and deploying to ECS and other targets.

Explore building a custom CodePipeline for AWS ECS deployments with CodeBuild, GitHub integration, and CI/CD automation, including ECR, ECS Fargate, and buildspec workflows.

Demonstrates building ci cd pipeline in AWS ECS with service connect by creating clusters and a namespace, defining frontend and backend task definitions and services, and configuring a load balancer.

Build a custom CodePipeline deployment for ecs service connect by configuring roles, building with buildspec, pushing images to ecr, and deploying to ecs while handling port and access issues.

Set up a CodePipeline driven ECS deployment by creating a cluster and namespace, enabling service discovery, and defining backend and frontend tasks with Fargate, Dockerfiles, and load balancing.

Build and troubleshoot a custom CodePipeline for a backend service on ECS, configuring buildspec, ECR, and GitHub integration, handling IAM permissions and deploying backend and frontend with service discovery.

Set up a frontend codepipeline for ECS deployment, integrating GitHub OAuth, CodeBuild, and ECR, and deploy the front end to the cluster, testing on port 3000.