aws ecs create-cluster --cluster-name my-cluster
Topics
58
Amazon API Gateway
Amazon Athena
Amazon CloudFront & Content Delivery
Amazon DynamoDB
Amazon ECS (Elastic Container Service)
Amazon EFS (Elastic File System)
Amazon EKS (Elastic Kubernetes Service)
Amazon ElastiCache (Redis & Memcached)
Amazon EventBridge
Amazon Kinesis & Data Streaming
Amazon QuickSight & Business Intelligence
Amazon Redshift & Data Warehousing
Amazon Route 53 & DNS Management
Amazon SageMaker & Machine Learning on AWS
Amazon SNS (Simple Notification Service)
Amazon SQS (Simple Queue Service)
Auto Scaling Groups
AWS AI Services (Rekognition, Polly, Lex & Comprehend)
AWS Backup & Disaster Recovery
AWS Batch
AWS Certificate Manager (ACM)
AWS Certification Paths & Career Roadmap
AWS CLI & SDKs
AWS CloudTrail & Auditing
AWS CodePipeline, CodeBuild & CodeDeploy (CI/CD)
AWS Config
AWS Cost Management & Billing
AWS Database Migration Service & Application Migration
AWS Direct Connect & Hybrid Connectivity
AWS Elastic Beanstalk
AWS Fargate
AWS Free Tier & Account Setup
AWS Global Infrastructure (Regions, AZs & Edge Locations)
AWS Glue & ETL
AWS KMS & Data Encryption
AWS Organizations & Multi Account Strategy
AWS Outposts & Hybrid Cloud
AWS Secrets Manager & Parameter Store
AWS Security Hub & GuardDuty
AWS Serverless Application Model (SAM)
AWS Step Functions
AWS Storage Gateway
AWS Systems Manager
AWS Trusted Advisor
AWS WAF & Shield
Core Services Overview
EC2 & Compute
Elastic Container Registry (ECR)
Elastic Load Balancing (ALB, NLB & CLB)
IaC (CloudFormation)
IAM
Lambda & Serverless
Monitoring (CloudWatch)
RDS & Databases
S3 & Storage
Tagging Strategies & Resource Management
VPC & Networking
Well-Architected Framework
Amazon ECS (Elastic Container Service)
7 questions found
Amazon ECS, or Elastic Container Service, is a fully managed container orchestration service that lets you run, stop, and manage Docker containers on a cluster of servers without needing to install or operate your own container orchestration software, making it easier to deploy and scale containerized applications.
Real-world example
A software company migrates its monolithic application into several smaller Docker containers and uses ECS to run and scale each container independently based on its specific resource needs.
Amazon EKS (Elastic Kubernetes Service);AWS Fargate
With the Fargate launch type, AWS manages the underlying compute infrastructure entirely, meaning you simply specify the resources your container needs and AWS runs it without you managing any servers, while the EC2 launch type requires you to provision and manage your own EC2 instances that ECS then uses to run your containers, giving you more control but also more operational responsibility.
aws ecs create-service --cluster my-cluster --service-name my-service --launch-type FARGATE
Real-world example
A small team without dedicated infrastructure staff chooses the Fargate launch type to avoid managing EC2 instances, while a company with existing reserved EC2 capacity chooses the EC2 launch type to reduce cost by fully utilizing that capacity.
AWS Fargate;EC2 & Compute
A task definition is a blueprint that describes how a container should run, including which Docker image to use, how much CPU and memory to allocate, networking configuration, environment variables, and logging settings, and ECS uses this definition every time it launches a new task or scales your service up.
{
"family": "web-app",
"containerDefinitions": [{
"name": "web",
"image": "myrepo/web-app:latest",
"memory": 512,
"cpu": 256
}]
}
Real-world example
A development team updates a task definition to point to a new Docker image version, then deploys that updated task definition to their ECS service, which gradually replaces old running containers with new ones.
Elastic Container Registry (ECR);IAM
An ECS service continuously monitors the number of running tasks against a desired count you specify, automatically launching replacement tasks if any fail or are stopped unexpectedly, and it can also integrate with an Application Load Balancer to distribute incoming traffic evenly across all healthy running tasks.
aws ecs update-service --cluster my-cluster --service my-service --desired-count 4
Real-world example
An e commerce application configures its ECS service to always maintain four running tasks, so if one container crashes due to an unexpected error, ECS automatically starts a replacement without any manual intervention.
Elastic Load Balancing (ALB
NLB & CLB);Auto Scaling Groups
How does networking work for containers running in ECS, particularly with the awsvpc network mode?
IntermediateThe awsvpc network mode gives each ECS task its own dedicated network interface and private IP address within your VPC, just like an EC2 instance would have, allowing you to apply security groups directly to individual tasks and giving each task full network isolation from other tasks running on the same infrastructure.
{
"networkMode": "awsvpc",
"containerDefinitions": [...]
}
Real-world example
A financial services company uses the awsvpc network mode so that each ECS task can have its own security group rules, ensuring that only specific approved services can communicate with a task processing sensitive transaction data.
VPC & Networking;IAM
ECS Service Auto Scaling integrates with Application Auto Scaling to automatically adjust the number of running tasks in a service based on metrics such as average CPU utilization or the number of requests per target, so during high traffic periods more tasks are launched automatically, and during quiet periods the count scales back down to save cost.
aws application-autoscaling register-scalable-target --service-namespace ecs --resource-id service/my-cluster/my-service --scalable-dimension ecs:service:DesiredCount --min-capacity 2 --max-capacity 10
Real-world example
A media streaming application configures ECS Service Auto Scaling to add more tasks automatically whenever average CPU usage exceeds seventy percent, ensuring smooth playback for users even during unexpected traffic surges.
Auto Scaling Groups;Monitoring (CloudWatch)
What deployment strategies does ECS support for updating running services with minimal downtime?
AdvancedECS supports rolling updates by default, gradually replacing old tasks with new ones while maintaining a minimum healthy percentage, and it also integrates with AWS CodeDeploy to support blue green deployments, where an entirely new set of tasks is launched alongside the old ones, traffic is gradually or instantly shifted to the new version, and the old tasks are terminated only after the new version is confirmed healthy.
aws deploy create-deployment --application-name my-ecs-app --deployment-group-name my-deployment-group --revision file://appspec.yaml
Real-world example
A payment processing company uses blue green deployments through CodeDeploy for its ECS service, allowing it to instantly roll back to the previous stable version if any errors are detected immediately after a new deployment goes live.
AWS CodePipeline
CodeBuild & CodeDeploy (CI/CD);Elastic Load Balancing (ALB
NLB & CLB)