
Learn how AWS Elastic Container Service (ECS) provides fully managed container orchestration, with ECR and Docker integration, task placement, and provisioning options like EC2, Fargate, or on premises.
Explore ECS architecture with Fargate and EC2 deployment options, container images from ECR, and traffic distribution via an application load balancer and capacity providers.
Explore ECS terminologies, including task definitions and services within a cluster. See how container instances and the ECS container agent manage tasks, port mappings, and task definition states.
Create an ECS cluster named cedar logic in us east 1 region with EC2-compatible setup and an auto scaling group using Amazon Linux 2 on a t2.medium instance.
Create a new task definition in AWS ECS, choose between Fargate or EC2, configure container settings (nginx: alpine), CPU/memory, environment variables, and CloudWatch logging for a complete demo.
Learn the five ECS networking modes—AWS VPC, bridge, host, none, and Nat—and how each mode affects security, IPs, port mapping, and performance across EC2, Fargate, and Windows.
Explore how the ECS service runs and maintains a desired number of tasks from a task definition. Learn about replica and daemon strategies, and optional load balancing.
Create an ECS service on an existing cluster using the EC2 launch type, with replica service and rolling update or blue-green deployment, plus monitoring via service events and logs.
Learn to choose networking modes for a task definition across EC2 and Fargate, with bridge, default, host, none, and CPC; EC2 defaults to bridge, Fargate uses AWS VPC.
Explore the ECS task lifecycle from provisioning to stopped, detailing provisioning, pending, activating, running, deactivating, stopping, deprovisioning, and deletion, including ENI attachment and load balancer or service discovery interactions.
Explore ECS task placement strategies and constraints, including bin pack, random, and spread, and how distinct constraints and member off constraints shape placement across EC2 and Fargate.
Explore setting up Amazon ECS Service Connect namespace, configure VPC DNS discovery, and verify inter-service communication via a sidecar Envoy between two services.
Explore the four ECS roles—service link role, task execution role, task IAM role, and container instance IAM role—and how they enable secrets access, S3 interactions, and load balancer integration.
Explore the service linked role for ECS, an AWS service role created by ECS that lets ECS call AWS services on your behalf and manage ENI lifecycles and service discovery.
Explore the task execution IAM role for ECS and Fargate, granting agents permissions to pull images from ECR, push CloudWatch logs, and fetch secrets from Secrets Manager or parameter store.
Enable per-task AWS API access by using the task IAM role to supply containers with credentials, isolate permissions, enable audits, and protect credentials from other tasks.
Explore the ecs container instance iam role and the amazon ec2 container service for ec2 role policy, granting ecs polling agent, endpoint register, container instance, ecr, and cloudwatch log permissions.
Explore ECS service auto scaling at the task and infrastructure capacity providers levels, using target tracking, step, and schedule policies driven by CloudWatch CPU and memory metrics.
Learn to configure ECS service auto scaling with target tracking based on average CPU utilization, min 1 and max 3 tasks, and CloudWatch alarms.
Explore how ECS capacity providers drive infrastructure scaling by balancing task and cluster resources with strategies that use weights and bases across on-demand and spot, including Fargate options.
Explore ecs capacity providers and scaling, driven by CloudWatch alarms and the capacity provider reservation metric (m/n × 100), guiding scale out and scale down within auto scaling groups.
Demonstrates configuring and using an ECS capacity provider with auto scaling and CloudWatch alarms to auto-scale a cluster, manage capacity, and place tasks on available instances.
Learn to integrate an application load balancer with an ECS service by creating an ALB, configuring a target group, registering EC2 targets, and applying the health check grace period.
Create an EFS file system, mount it in an ECS task with a proper VPC and security groups, and run nginx to verify EFS integration.
Use vpc endpoints to secure ecs on ec2 by keeping traffic inside the aws network and configuring endpoints for ecs, s3, ecr, secrets manager, and cloudwatch.
Explore how to securely manage database credentials in ECS using Secrets Manager or Systems Manager Parameter Store, including encryption with KMS, IAM controls, and automatic rotation with Lambda.
Demonstrate using secrets manager with ecs by creating a username secret secured with a kms key, referencing its arn in a task definition, and granting task execution role read access.
Learn to enable CloudWatch Container Insights for ECS, explore cluster, task, and service metrics, and understand CPU, memory, and network monitoring through hands-on demos.
Create an ECR repository for WordPress, pull the WordPress image from Docker Hub, tag it, and push it to your private ECR, obtaining the image URI for the task definition.
Create a new WordPress task definition for AWS ECS Fargate on Linux, specify one vcpu and two GB of memory, enable CloudWatch logging, and allocate 30 GB storage.
Create a WordPress ECS service with Fargate, enable a public IP in public subnets, and configure the WordPress task definition with database environment variables for later RDS integration.
Learn how to integrate an application load balancer with a WordPress service on Fargate behind a highly available multi-AZ architecture with EFS.
Connect WordPress on ECS to a mysql-compatible RDS by creating the RDS instance, a WordPress database and user, and configuring container environment variables for host, user, password, and db name.
Celebrate finishing the course, deploy your workloads on ECS, and prepare for ECS interview questions. Receive ongoing support, reviews, mentoring, and updates from the instructor.
Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service that helps you easily deploy, manage, and scale containerized applications. As a fully managed service, Amazon ECS comes with AWS configuration and operational best practices built-in. It's integrated with both AWS and third-party tools, such as Amazon Elastic Container Registry and Docker. This integration makes it easier for teams to focus on building the applications, not the environment.
WHAT YOU WILL LEARN
Deploy AWS ECS Clusters using the AWS Management Console, CloudFormation, and the ECS CLI
Setup ECS and Fargate services, alongside ECS Task Definitions
Learn about Task Placement Strategies and Constraints
Learn the ECS Networking Modes
ECS Service Auto Scaling and Load Balancing
EC2 Instance Scaling through ECS Cluster Capacity Providers
Amazon ECR: Elastic Container Registry
Monitoring ECS with Cloudwatch Container Insights
Environment Variables from ECS (hardcoded, SSM, Secrets Manager, S3)
ECS Persistent Storage Options with EFS
Microservices with ECS: ECS Service Connect
And that's just a sneak peek.
This Course also includes a real-life project on -
Deploy Wordpress on ECS with RDS as Database
24 Hours Instructor Support through email, Instagram and Course comment section!!
Who this course is for:
AWS Architects or Sysadmins or Developers who are planning to master Elastic Container Service (ECS) for Docker deployments.
Any beginner who is interested in learning Docker fundamentals and moving on to master Docker Container deployments on AWS Cloud.