Services Used:<\/h5>\n\n\n\n\n- AWS CLI<\/li>\n\n\n\n
- ECS CLI<\/li>\n\n\n\n
- Amazon CloudWatch<\/li>\n\n\n\n
- Amazon Elastic Container Service (ECS)<\/li>\n\n\n\n
- AWS Fargate<\/li>\n\n\n\n
- Amazon Virtual Private Cloud (VPC)<\/li>\n\n\n\n
- Docker<\/li>\n\n\n\n
- Flask<\/li>\n\n\n\n
- Redis<\/li>\n<\/ul>\n\n\n\n
Prerequisites<\/h5>\n\n\n\n\n- IAM Identity Center user with appropriate permissions <\/li>\n\n\n\n
- AWS CLI is installed – see my previous post here<\/a><\/li>\n\n\n\n
- Docker Desktop<\/a> is installed<\/li>\n\n\n\n
- ECS-CLI (not to be confused with AWS CLI) is installed and configured – follow the directions here<\/a><\/li>\n<\/ul>\n\n\n\n
Steps<\/h5>\n\n\n\n\n- Build your image using Dockerfile, run it locally and validate that it executes successfully (I am using the sample application from Docker<\/a> for this tutorial)<\/li>\n\n\n\n
- Rebuild the image with changes to app.py and deploy the image to ECR<\/li>\n\n\n\n
- Create a cluster and security group<\/li>\n\n\n\n
- Create ecs-params.yml and docker-compose.yml files and configure the cluster <\/li>\n\n\n\n
- Compose a service <\/li>\n\n\n\n
- Validate your implementation<\/li>\n\n\n\n
- Clean up resources<\/li>\n<\/ol>\n\n\n\n
STEP 1 : Docker Compose<\/h5>\n\n\n\n
I have very small variation from the Docker tutorial, but listing all the files below with the changes highlighted. My folder name is testapp and that’s why you will notice the default naming convention of the containers and images with testapp.<\/p>\n\n\n\n
app.py<\/p>\n\n\n\n
import time\nimport redis\nfrom flask import Flask\n\napp = Flask(__name__)\ncache = redis.Redis(host='redis', port=6379)\n# change to localhost for deploying to ECS\n#cache = redis.Redis(host='localhost', port=6379)<\/strong>\n\ndef get_hit_count():\n retries = 5\n while True:\n try:\n return cache.incr('hits')\n except redis.exceptions.ConnectionError as exc:\n if retries == 0:\n raise exc\n retries -= 1\n time.sleep(0.5)\n\n@app.route('\/')\ndef hello():\n count = get_hit_count()\n return 'Hello Maghilda! I have been seen {} times.\\n'.format(count)<\/code><\/pre>\n\n\n\nDockerfile<\/p>\n\n\n\n
FROM python:3.11-alpine<\/strong>\nWORKDIR \/code\nENV FLASK_APP=app.py\nENV FLASK_RUN_HOST=0.0.0.0\nRUN apk add --no-cache gcc musl-dev linux-headers\nCOPY requirements.txt requirements.txt\n#install dependencies from list\nRUN pip install -r requirements.txt\nEXPOSE 5000\nCOPY . .\nCMD [\"flask\", \"run\"]<\/code><\/pre>\n\n\n\ncompose.yml<\/p>\n\n\n\n
services:\n web:\n build: .\n ports:\n - \"5000:5000\"\n networks:\n - demoapp<\/strong>\n redis:\n image: \"redis:alpine\"\n networks:\n - demoapp<\/strong>\n volumes:\n - redisdata:\/data<\/strong>\n\nnetworks:\n demoapp:\n\nvolumes:\n redisdata:<\/strong><\/code><\/pre>\n\n\n\nBuild and run your app with compose<\/p>\n\n\n\n
docker compose up -d<\/code><\/pre>\n\n\n\nWhen the docker compose finishes successfully, you can either go http:\/\/127.0.0.1:5000 or use a curl command to validate.<\/p>\n\n\n\n
curl '127.0.0.1:5000'<\/strong>\n\nHello Maghilda! I have been seen 1 times.<\/code><\/pre>\n\n\n\nTo check the env variable that you had defined in the Dockerfile<\/p>\n\n\n\n
docker compose run web env<\/strong>\n\nPATH=\/usr\/local\/bin:\/usr\/local\/sbin:\/usr\/local\/bin:\/usr\/sbin:\/usr\/bin:\/sbin:\/bin\nHOSTNAME=b0d84f2608d6\nTERM=xterm\nLANG=C.UTF-8\nGPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D\nPYTHON_VERSION=3.11.7\nPYTHON_PIP_VERSION=23.2.1\nPYTHON_SETUPTOOLS_VERSION=65.5.1\nPYTHON_GET_PIP_URL=https:\/\/github.com\/pypa\/get-pip\/raw\/4cfa4081d27285bda1220a62a5ebf5b4bd749cdb\/public\/get-pip.py\nPYTHON_GET_PIP_SHA256=9cc01665956d22b3bf057ae8287b035827bfd895da235bcea200ab3b811790b6\nFLASK_APP=app.py\nFLASK_RUN_HOST=0.0.0.0\nHOME=\/root<\/code><\/pre>\n\n\n\ndocker ps<\/strong>\n\nCONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES\nc05b5b095fab redis:alpine<\/strong> \"docker-entrypoint.s\u2026\" 4 minutes ago Up 4 minutes 6379\/tcp testapp-redis-1\n9e07c31729a6 testapp-web<\/strong> \"flask run\" 4 minutes ago Up 4 minutes 0.0.0.0:5000->5000\/tcp testapp-web-1<\/code><\/pre>\n\n\n\n<\/p>\n\n\n\n
Login to the container<\/p>\n\n\n\n
docker exec -it 9e07c31729a6<\/strong> \/bin\/sh<\/code><\/pre>\n\n\n\nYou will get the container terminal, run some commands in the container terminal. I ran the ls command which listed all the files. Once done, type exit.<\/p>\n\n\n\n
\/code # ls<\/strong>\n\nDockerfile app.py requirements.txt\n__pycache__ compose.yaml <\/code><\/pre>\n\n\n\nShut down the container and delete the image<\/p>\n\n\n\n
docker compose down -v<\/code><\/pre>\n\n\n\nSTEP 2: Rebuild the image with changes to app.py and deploy the image to ECR<\/h5>\n\n\n\n
For the image to work in ECS, update the app.py. Change the redis connection from redis to localhost as follows:<\/p>\n\n\n\n
#cache = redis.Redis(host='redis'<\/strong>, port=6379)\n# change to localhost for deploying to ECS\ncache = redis.Redis(host='localhost'<\/strong>, port=6379)<\/code><\/pre>\n\n\n\nThen build the image again but without docker compose<\/p>\n\n\n\n
docker build -t testapp .<\/code><\/pre>\n\n\n\nTag the new image<\/p>\n\n\n\n
docker tag testapp 123456789012.dkr.ecr.us-east-1.amazonaws.com\/dockerimages:mnewtag<\/strong><\/code><\/pre>\n\n\n\nCreate a repository in ECR. I named it dockerimages<\/p>\n\n\n\n
aws ecr create-repository --repository-name dockerimages --region us-east-1<\/strong>\n\n{\n \"repository\": {\n \"repositoryArn\": \"arn:aws:ecr:us-east-1:123456789012:repository\/dockerimages\",\n \"registryId\": \"123456789012\",\n \"repositoryName\": \"dockerimages\",\n \"repositoryUri\": \"123456789012.dkr.ecr.us-east-1.amazonaws.com\/dockerimages\",\n \"createdAt\": \"2024-01-16T13:53:20-05:00\",\n \"imageTagMutability\": \"MUTABLE\",\n \"imageScanningConfiguration\": {\n \"scanOnPush\": false\n },\n \"encryptionConfiguration\": {\n \"encryptionType\": \"AES256\"\n }\n }\n}<\/code><\/pre>\n\n\n\nLogin to ECR from Docker<\/p>\n\n\n\n
aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin 123456789012.dkr.ecr.us-east-1.amazonaws.com<\/strong>\n\nLogin Succeeded<\/code><\/pre>\n\n\n\nPush the newly created image from Docker to ECR<\/p>\n\n\n\n
docker push 123456789012.dkr.ecr.us-east-1.amazonaws.com\/dockerimages:mnewtag<\/strong>\n\nThe push refers to repository [123456789012.dkr.ecr.us-east-1.amazonaws.com\/dockerimages]\n5ad795cc690c: Pushed \na10eca000a2f: Pushed \nmnewtag: digest: sha256:02ec90be72edeb611f1222f548e5884ad8dfce204f693575cf5d9e0bf5d71296 size: 2412<\/code><\/pre>\n\n\n\naws ecr list-images --repository-name dockerimages\n{\n \"imageIds\": [\n {\n \"imageDigest\": \"sha256:02ec90be72edeb611f1222f548e5884ad8dfce204f693575cf5d9e0bf5d71296\",\n \"imageTag\": \"mnewtag\"\n }\n ]\n}<\/code><\/pre>\n\n\n\nSTEP 3: Create a cluster and a security group<\/h5>\n\n\n\n
This will launch a cloudformation stack<\/p>\n\n\n\n
ecs-cli up --cluster maghilda-cluster --launch-type FARGATE <\/strong>\n\nINFO[0000] Created cluster cluster=maghilda-cluster region=us-east-1\nINFO[0001] Waiting for your cluster resources to be created... \nINFO[0001] Cloudformation stack status stackStatus=CREATE_IN_PROGRESS\nVPC created: vpc-02b89083fd596fab1\nSubnet created: subnet-0ad8279daf5983c83\nSubnet created: subnet-03060b21523ea37b5\nCluster creation succeeded.<\/code><\/pre>\n\n\n\naws ecs describe-clusters \\\n --include ATTACHMENTS \\\n --clusters maghilda-cluster<\/strong>\n\n{\n \"clusters\": [\n {\n \"clusterArn\": \"arn:aws:ecs:us-east-1:123456789012:cluster\/maghilda-cluster\",\n \"clusterName\": \"maghilda-cluster\",\n \"status\": \"ACTIVE\",\n \"registeredContainerInstancesCount\": 0,\n \"runningTasksCount\": 0,\n \"pendingTasksCount\": 0,\n \"activeServicesCount\": 0,\n \"statistics\": [],\n \"tags\": [],\n \"settings\": [],\n \"capacityProviders\": [],\n \"defaultCapacityProviderStrategy\": [],\n \"attachments\": []\n }\n ],\n \"failures\": []\n}<\/code><\/pre>\n\n\n\nCreate a security group<\/p>\n\n\n\n
aws ec2 create-security-group --group-name \"maghilda-fargate-service-discovery-sg\" \\\n--description \"Maghilda Fargate Service Discovery security group\" \\\n--vpc-id \"vpc-02b89083fd596fab1\"<\/strong>\n\n{\n \"GroupId\": \"sg-0ee81ee6e7c955957\"\n}<\/code><\/pre>\n\n\n\nCreate ingress rules to allow 5000 traffic<\/p>\n\n\n\n
aws ec2 authorize-security-group-ingress \\\n--group-id \"sg-0ee81ee6e7c955957\" --protocol \\\ntcp --port 5000 --cidr 0.0.0.0\/0<\/strong>\n\n{\n \"Return\": true,\n \"SecurityGroupRules\": [\n {\n \"SecurityGroupRuleId\": \"sgr-0fdd8b43e8f6c61f3\",\n \"GroupId\": \"sg-0ee81ee6e7c955957\",\n \"GroupOwnerId\": \"123456789012\",\n \"IsEgress\": false,\n \"IpProtocol\": \"tcp\",\n \"FromPort\": 5000,\n \"ToPort\": 5000,\n \"CidrIpv4\": \"0.0.0.0\/0\"\n }\n ]\n}<\/code><\/pre>\n\n\n\nSTEP 4: Create ecs-params.yml and docker-compose.yml files and configure the cluster <\/h5>\n\n\n\n
ecs-params.yml<\/p>\n\n\n\n
version: 1\ntask_definition:\n task_execution_role: ecsTaskExecutionRole\n ecs_network_mode: awsvpc\n task_size:\n mem_limit: 0.5GB\n cpu_limit: 256\nrun_params:\n network_configuration:\n awsvpc_configuration:\n subnets:\n - \"subnet-0ad8279daf5983c83\"\n - \"subnet-03060b21523ea37b5\"\n security_groups:\n - \"sg-0ee81ee6e7c955957\"\n assign_public_ip: ENABLED<\/code><\/pre>\n\n\n\ndocker-compose.yml. This is not the same as compose.yml file above<\/p>\n\n\n\n
version: '3'\nservices:\n web:\n image: \"123456789012.dkr.ecr.us-east-1.amazonaws.com\/dockerimages:mnewtag\"\n ports:\n - \"5000:5000\"\n logging:\n driver: awslogs\n options:\n awslogs-group: \/ecs\/development\/testapp-logs\n awslogs-region: us-east-1\n awslogs-stream-prefix: maghilda\n redis:\n image: \"public.ecr.aws\/docker\/library\/redis:6.2-bookworm\"<\/code><\/pre>\n\n\n\nConfigure the cluster with FARGATE as the launch type<\/p>\n\n\n\n
ecs-cli configure --cluster maghilda-cluster --region us-east-1 --default-launch-type FARGATE --config-name ecs-fargate-svs-discovery-config<\/strong>\n\nINFO[0000] Saved ECS CLI cluster configuration ecs-fargate-svs-discovery-config. <\/code><\/pre>\n\n\n\nThis is saved in the ecs config file<\/p>\n\n\n\n
cat ~\/.ecs\/config<\/strong>\n\nversion: v1\ndefault: ecs-fargate-svs-discovery-config\nclusters:\n ecs-fargate-svs-discovery-config:\n cluster: maghilda-cluster\n region: us-east-1\n default_launch_type: FARGATE<\/code><\/pre>\n\n\n\nSTEP 5: Compose a service <\/h5>\n\n\n\n
This is where the magic happens. <\/p>\n\n\n\n
ecs-cli compose --project-name maghilda-testapp \\\nservice up --cluster-config ecs-fargate-svs-discovery-config \\\n--cluster maghilda-cluster --create-log-groups<\/strong>\n\nINFO[0000] Using ECS task definition TaskDefinition=\"maghilda-testapp:1\"\nINFO[0000] Auto-enabling ECS Managed Tags \nINFO[0011] (service maghilda-testapp) has started 1 tasks: (task 61653f47e8de41dfa86927f79dd0c557). timestamp=\"2024-01-16 15:52:37 +0000 UTC\"\nINFO[0067] (service maghilda-testapp) has started 1 tasks: (task 87cb0a1384f348ec82da68ccc6ff3bc5). timestamp=\"2024-01-16 15:53:35 +0000 UTC\"\nINFO[0305] Created an ECS service service=maghilda-testapp taskDefinition=\u201cmaghilda-testapp:1\"\nINFO[0036] Service status desiredCount=1 runningCount=1 serviceName=maghilda-testapp\nINFO[0036] ECS Service has reached a stable state desiredCount=1 runningCount=1 serviceName=maghilda-testapp<\/code><\/pre>\n\n\n\n![\"\"](\"https:\/\/www.maghilda.com\/staging\/9669\/wp-content\/uploads\/2024\/01\/Screen-Shot-2024-01-15-at-10.55.44-PM-1024x272.png\")
<\/figure>\n\n\n\nSTEP 6: Validate your implementation<\/h5>\n\n\n\necs-cli ps --cluster maghilda-cluster<\/strong>\n\nName State Ports TaskDefinition Health\nmaghilda-cluster\/4be0c3641cb74194b1588510800f6577\/redis RUNNING maghilda-testapp:1 UNKNOWN\nmaghilda-cluster\/4be0c3641cb74194b1588510800f6577\/web RUNNING 44.192.11.173:5000->5000\/tcp<\/strong> maghilda-testapp:1 UNKNOWN<\/code><\/pre>\n\n\n\nLoad the above url <\/p>\n\n\n\n![\"\"](\"https:\/\/www.maghilda.com\/staging\/9669\/wp-content\/uploads\/2024\/01\/Screen-Shot-2024-01-16-at-3.42.07-PM.png\")
<\/figure>\n\n\n\nReview the CloudWatch Logs via aws cli or the AWS management console<\/p>\n\n\n\n![\"\"](\"https:\/\/www.maghilda.com\/staging\/9669\/wp-content\/uploads\/2024\/01\/Screen-Shot-2024-01-16-at-4.03.33-PM.png\")
<\/figure>\n\n\n\n![\"\"](\"https:\/\/www.maghilda.com\/staging\/9669\/wp-content\/uploads\/2024\/01\/Screen-Shot-2024-01-16-at-4.03.52-PM.png\")
<\/figure>\n\n\n\nSTEP 7: Cleanup resources<\/h5>\n\n\n\n
Delete the service<\/p>\n\n\n\n
ecs-cli compose --project-name maghilda-testapp \\\nservice down --cluster-config ecs-fargate-svs-discovery-config \\\n--cluster maghilda-cluster<\/strong>\n\nINFO[0000] Deleted ECS service service=maghilda-testapp\nINFO[0000] Service status desiredCount=0 runningCount=1 serviceName=maghilda-testapp\nINFO[0005] Service status desiredCount=0 runningCount=0 serviceName=maghilda-testapp\nINFO[0005] ECS Service has reached a stable state desiredCount=0 runningCount=0 serviceName=maghilda-testapp<\/code><\/pre>\n\n\n\nDelete the cluster. This can take a long time as CloudFormation tears down the stack.<\/p>\n\n\n\n
ecs-cli down --force --cluster-config ecs-fargate-svs-discovery-config \\\n--cluster maghilda-cluster<\/strong>\n\n####### this errored out as the cloudformation could not delete the vpc as it had dependencies. i had to delete the vpc manually\nINFO[0000] Waiting for your cluster resources to be deleted... \nINFO[0000] Cloudformation stack status stackStatus=DELETE_IN_PROGRESS\nINFO[0031] Deleted cluster cluster=maghilda-cluster<\/code><\/pre>\n\n\n\nDelete the namespace<\/p>\n\n\n\n
aws servicediscovery list-namespaces<\/strong>\n\n{\n \"Namespaces\": [\n {\n \"Id\": \"ns-fd2a72lp4cvtuvnf\",\n \"Arn\": \"arn:aws:servicediscovery:us-east-1:123456789012:namespace\/ns-fd2a72lp4cvtuvnf\",\n \"Name\": \"maghilda-cluster\",\n \"Type\": \"HTTP\",\n \"Properties\": {\n \"DnsProperties\": {\n \"SOA\": {}\n },\n \"HttpProperties\": {\n \"HttpName\": \"maghilda-cluster\"\n }\n },\n \"CreateDate\": \"2024-01-15T22:48:55.143000-05:00\"\n }\n ]\n}\n\naws servicediscovery delete-namespace --id=\"ns-fd2a72lp4cvtuvnf\"<\/strong>\n\n{\n \"OperationId\": \"ncfzqtijxhicuygj4ziuw53ggekmoqvt-6pl90bxl\"\n}\n\naws servicediscovery list-namespaces<\/strong>\n{\n \"Namespaces\": []\n}<\/code><\/pre>\n\n\n\nDelete ECR repository<\/p>\n\n\n\n
aws ecr delete-repository --repository-name dockerimages --region us-east-1 --force<\/code><\/pre>\n\n\n\nDelete CloudWatch Logs<\/p>\n\n\n\n
aws logs delete-log-group --log-group-name \/ecs\/development\/testapp-logs<\/code><\/pre>\n\n\n\nThis is the end of the tutorial. Hope you got something out of it.<\/p>\n\n\n\n
References:<\/h5>\n\n\n\n\n- https:\/\/docs.docker.com\/compose\/gettingstarted\/<\/a><\/li>\n\n\n\n
- https:\/\/github.com\/docker\/awesome-compose<\/a><\/li>\n\n\n\n
- https:\/\/github.com\/aws\/amazon-ecs-cli<\/a><\/li>\n\n\n\n
- https:\/\/docs.aws.amazon.com\/AmazonECS\/latest\/developerguide\/ProgrammingGuide.html<\/a><\/li>\n\n\n\n
- https:\/\/github.com\/aws-containers\/demo-app-for-docker-compose<\/a><\/li>\n\n\n\n
- https:\/\/gallery.ecr.aws\/<\/a><\/li>\n\n\n\n
- https:\/\/www.bogotobogo.com\/DevOps\/Docker\/Docker-ECS-Service-Dicsovery-Redis-Flask.php<\/a><\/li>\n\n\n\n
- https:\/\/aws.amazon.com\/blogs\/containers\/automated-software-delivery-using-docker-compose-and-amazon-ecs\/<\/a><\/li>\n\n\n\n
- https:\/\/github.com\/docker\/compose-cli\/blob\/main\/docs\/ecs-compose-examples.md<\/a><\/li>\n\n\n\n
- https:\/\/aws.amazon.com\/blogs\/containers\/deploy-applications-on-amazon-ecs-using-docker-compose\/<\/a><\/li>\n\n\n\n
- https:\/\/aws.amazon.com\/getting-started\/hands-on\/deploy-docker-containers\/<\/a><\/li>\n\n\n\n
- https:\/\/docs.aws.amazon.com\/AmazonECS\/latest\/userguide\/create-container-image.html<\/a><\/li>\n\n\n\n
- https:\/\/docs.aws.amazon.com\/AmazonECS\/latest\/developerguide\/using_awslogs.html<\/a><\/li>\n\n\n\n
- https:\/\/awscli.amazonaws.com\/v2\/documentation\/api\/latest\/reference\/ecs\/index.html<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
In this tutorial, we will deploy docker containers on Amazon ECS using AWS Fargate. We will be using ECS-CLI to build the stack step by step. Amazon ECS Command Line Interface (CLI) is a command line tool for Amazon Elastic Container Service (Amazon ECS) that provides high-level commands to simplify creating, updating, and monitoring clusters […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"nf_dc_page":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[12,62,55,60,58,61,59,63],"tags":[66,64,65,67],"class_list":["post-2446","post","type-post","status-publish","format-standard","hentry","category-aws-tutorial","category-aws-cli","category-cloudwatch","category-docker","category-ecs","category-ecs-cli","category-fargate","category-vpc","tag-docker","tag-ecs","tag-fargate","tag-vpc"],"yoast_head":"\n
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Prerequisites<\/h5>\n\n\n\n\n- IAM Identity Center user with appropriate permissions <\/li>\n\n\n\n
- AWS CLI is installed – see my previous post here<\/a><\/li>\n\n\n\n
- Docker Desktop<\/a> is installed<\/li>\n\n\n\n
- ECS-CLI (not to be confused with AWS CLI) is installed and configured – follow the directions here<\/a><\/li>\n<\/ul>\n\n\n\n
Steps<\/h5>\n\n\n\n\n- Build your image using Dockerfile, run it locally and validate that it executes successfully (I am using the sample application from Docker<\/a> for this tutorial)<\/li>\n\n\n\n
- Rebuild the image with changes to app.py and deploy the image to ECR<\/li>\n\n\n\n
- Create a cluster and security group<\/li>\n\n\n\n
- Create ecs-params.yml and docker-compose.yml files and configure the cluster <\/li>\n\n\n\n
- Compose a service <\/li>\n\n\n\n
- Validate your implementation<\/li>\n\n\n\n
- Clean up resources<\/li>\n<\/ol>\n\n\n\n
STEP 1 : Docker Compose<\/h5>\n\n\n\n
I have very small variation from the Docker tutorial, but listing all the files below with the changes highlighted. My folder name is testapp and that’s why you will notice the default naming convention of the containers and images with testapp.<\/p>\n\n\n\n
app.py<\/p>\n\n\n\n
import time\nimport redis\nfrom flask import Flask\n\napp = Flask(__name__)\ncache = redis.Redis(host='redis', port=6379)\n# change to localhost for deploying to ECS\n#cache = redis.Redis(host='localhost', port=6379)<\/strong>\n\ndef get_hit_count():\n retries = 5\n while True:\n try:\n return cache.incr('hits')\n except redis.exceptions.ConnectionError as exc:\n if retries == 0:\n raise exc\n retries -= 1\n time.sleep(0.5)\n\n@app.route('\/')\ndef hello():\n count = get_hit_count()\n return 'Hello Maghilda! I have been seen {} times.\\n'.format(count)<\/code><\/pre>\n\n\n\nDockerfile<\/p>\n\n\n\n
FROM python:3.11-alpine<\/strong>\nWORKDIR \/code\nENV FLASK_APP=app.py\nENV FLASK_RUN_HOST=0.0.0.0\nRUN apk add --no-cache gcc musl-dev linux-headers\nCOPY requirements.txt requirements.txt\n#install dependencies from list\nRUN pip install -r requirements.txt\nEXPOSE 5000\nCOPY . .\nCMD [\"flask\", \"run\"]<\/code><\/pre>\n\n\n\ncompose.yml<\/p>\n\n\n\n
services:\n web:\n build: .\n ports:\n - \"5000:5000\"\n networks:\n - demoapp<\/strong>\n redis:\n image: \"redis:alpine\"\n networks:\n - demoapp<\/strong>\n volumes:\n - redisdata:\/data<\/strong>\n\nnetworks:\n demoapp:\n\nvolumes:\n redisdata:<\/strong><\/code><\/pre>\n\n\n\nBuild and run your app with compose<\/p>\n\n\n\n
docker compose up -d<\/code><\/pre>\n\n\n\nWhen the docker compose finishes successfully, you can either go http:\/\/127.0.0.1:5000 or use a curl command to validate.<\/p>\n\n\n\n
curl '127.0.0.1:5000'<\/strong>\n\nHello Maghilda! I have been seen 1 times.<\/code><\/pre>\n\n\n\nTo check the env variable that you had defined in the Dockerfile<\/p>\n\n\n\n
docker compose run web env<\/strong>\n\nPATH=\/usr\/local\/bin:\/usr\/local\/sbin:\/usr\/local\/bin:\/usr\/sbin:\/usr\/bin:\/sbin:\/bin\nHOSTNAME=b0d84f2608d6\nTERM=xterm\nLANG=C.UTF-8\nGPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D\nPYTHON_VERSION=3.11.7\nPYTHON_PIP_VERSION=23.2.1\nPYTHON_SETUPTOOLS_VERSION=65.5.1\nPYTHON_GET_PIP_URL=https:\/\/github.com\/pypa\/get-pip\/raw\/4cfa4081d27285bda1220a62a5ebf5b4bd749cdb\/public\/get-pip.py\nPYTHON_GET_PIP_SHA256=9cc01665956d22b3bf057ae8287b035827bfd895da235bcea200ab3b811790b6\nFLASK_APP=app.py\nFLASK_RUN_HOST=0.0.0.0\nHOME=\/root<\/code><\/pre>\n\n\n\ndocker ps<\/strong>\n\nCONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES\nc05b5b095fab redis:alpine<\/strong> \"docker-entrypoint.s\u2026\" 4 minutes ago Up 4 minutes 6379\/tcp testapp-redis-1\n9e07c31729a6 testapp-web<\/strong> \"flask run\" 4 minutes ago Up 4 minutes 0.0.0.0:5000->5000\/tcp testapp-web-1<\/code><\/pre>\n\n\n\n<\/p>\n\n\n\n
Login to the container<\/p>\n\n\n\n
docker exec -it 9e07c31729a6<\/strong> \/bin\/sh<\/code><\/pre>\n\n\n\nYou will get the container terminal, run some commands in the container terminal. I ran the ls command which listed all the files. Once done, type exit.<\/p>\n\n\n\n
\/code # ls<\/strong>\n\nDockerfile app.py requirements.txt\n__pycache__ compose.yaml <\/code><\/pre>\n\n\n\nShut down the container and delete the image<\/p>\n\n\n\n
docker compose down -v<\/code><\/pre>\n\n\n\nSTEP 2: Rebuild the image with changes to app.py and deploy the image to ECR<\/h5>\n\n\n\n
For the image to work in ECS, update the app.py. Change the redis connection from redis to localhost as follows:<\/p>\n\n\n\n
#cache = redis.Redis(host='redis'<\/strong>, port=6379)\n# change to localhost for deploying to ECS\ncache = redis.Redis(host='localhost'<\/strong>, port=6379)<\/code><\/pre>\n\n\n\nThen build the image again but without docker compose<\/p>\n\n\n\n
docker build -t testapp .<\/code><\/pre>\n\n\n\nTag the new image<\/p>\n\n\n\n
docker tag testapp 123456789012.dkr.ecr.us-east-1.amazonaws.com\/dockerimages:mnewtag<\/strong><\/code><\/pre>\n\n\n\nCreate a repository in ECR. I named it dockerimages<\/p>\n\n\n\n
aws ecr create-repository --repository-name dockerimages --region us-east-1<\/strong>\n\n{\n \"repository\": {\n \"repositoryArn\": \"arn:aws:ecr:us-east-1:123456789012:repository\/dockerimages\",\n \"registryId\": \"123456789012\",\n \"repositoryName\": \"dockerimages\",\n \"repositoryUri\": \"123456789012.dkr.ecr.us-east-1.amazonaws.com\/dockerimages\",\n \"createdAt\": \"2024-01-16T13:53:20-05:00\",\n \"imageTagMutability\": \"MUTABLE\",\n \"imageScanningConfiguration\": {\n \"scanOnPush\": false\n },\n \"encryptionConfiguration\": {\n \"encryptionType\": \"AES256\"\n }\n }\n}<\/code><\/pre>\n\n\n\nLogin to ECR from Docker<\/p>\n\n\n\n
aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin 123456789012.dkr.ecr.us-east-1.amazonaws.com<\/strong>\n\nLogin Succeeded<\/code><\/pre>\n\n\n\nPush the newly created image from Docker to ECR<\/p>\n\n\n\n
docker push 123456789012.dkr.ecr.us-east-1.amazonaws.com\/dockerimages:mnewtag<\/strong>\n\nThe push refers to repository [123456789012.dkr.ecr.us-east-1.amazonaws.com\/dockerimages]\n5ad795cc690c: Pushed \na10eca000a2f: Pushed \nmnewtag: digest: sha256:02ec90be72edeb611f1222f548e5884ad8dfce204f693575cf5d9e0bf5d71296 size: 2412<\/code><\/pre>\n\n\n\naws ecr list-images --repository-name dockerimages\n{\n \"imageIds\": [\n {\n \"imageDigest\": \"sha256:02ec90be72edeb611f1222f548e5884ad8dfce204f693575cf5d9e0bf5d71296\",\n \"imageTag\": \"mnewtag\"\n }\n ]\n}<\/code><\/pre>\n\n\n\nSTEP 3: Create a cluster and a security group<\/h5>\n\n\n\n
This will launch a cloudformation stack<\/p>\n\n\n\n
ecs-cli up --cluster maghilda-cluster --launch-type FARGATE <\/strong>\n\nINFO[0000] Created cluster cluster=maghilda-cluster region=us-east-1\nINFO[0001] Waiting for your cluster resources to be created... \nINFO[0001] Cloudformation stack status stackStatus=CREATE_IN_PROGRESS\nVPC created: vpc-02b89083fd596fab1\nSubnet created: subnet-0ad8279daf5983c83\nSubnet created: subnet-03060b21523ea37b5\nCluster creation succeeded.<\/code><\/pre>\n\n\n\naws ecs describe-clusters \\\n --include ATTACHMENTS \\\n --clusters maghilda-cluster<\/strong>\n\n{\n \"clusters\": [\n {\n \"clusterArn\": \"arn:aws:ecs:us-east-1:123456789012:cluster\/maghilda-cluster\",\n \"clusterName\": \"maghilda-cluster\",\n \"status\": \"ACTIVE\",\n \"registeredContainerInstancesCount\": 0,\n \"runningTasksCount\": 0,\n \"pendingTasksCount\": 0,\n \"activeServicesCount\": 0,\n \"statistics\": [],\n \"tags\": [],\n \"settings\": [],\n \"capacityProviders\": [],\n \"defaultCapacityProviderStrategy\": [],\n \"attachments\": []\n }\n ],\n \"failures\": []\n}<\/code><\/pre>\n\n\n\nCreate a security group<\/p>\n\n\n\n
aws ec2 create-security-group --group-name \"maghilda-fargate-service-discovery-sg\" \\\n--description \"Maghilda Fargate Service Discovery security group\" \\\n--vpc-id \"vpc-02b89083fd596fab1\"<\/strong>\n\n{\n \"GroupId\": \"sg-0ee81ee6e7c955957\"\n}<\/code><\/pre>\n\n\n\nCreate ingress rules to allow 5000 traffic<\/p>\n\n\n\n
aws ec2 authorize-security-group-ingress \\\n--group-id \"sg-0ee81ee6e7c955957\" --protocol \\\ntcp --port 5000 --cidr 0.0.0.0\/0<\/strong>\n\n{\n \"Return\": true,\n \"SecurityGroupRules\": [\n {\n \"SecurityGroupRuleId\": \"sgr-0fdd8b43e8f6c61f3\",\n \"GroupId\": \"sg-0ee81ee6e7c955957\",\n \"GroupOwnerId\": \"123456789012\",\n \"IsEgress\": false,\n \"IpProtocol\": \"tcp\",\n \"FromPort\": 5000,\n \"ToPort\": 5000,\n \"CidrIpv4\": \"0.0.0.0\/0\"\n }\n ]\n}<\/code><\/pre>\n\n\n\nSTEP 4: Create ecs-params.yml and docker-compose.yml files and configure the cluster <\/h5>\n\n\n\n
ecs-params.yml<\/p>\n\n\n\n
version: 1\ntask_definition:\n task_execution_role: ecsTaskExecutionRole\n ecs_network_mode: awsvpc\n task_size:\n mem_limit: 0.5GB\n cpu_limit: 256\nrun_params:\n network_configuration:\n awsvpc_configuration:\n subnets:\n - \"subnet-0ad8279daf5983c83\"\n - \"subnet-03060b21523ea37b5\"\n security_groups:\n - \"sg-0ee81ee6e7c955957\"\n assign_public_ip: ENABLED<\/code><\/pre>\n\n\n\ndocker-compose.yml. This is not the same as compose.yml file above<\/p>\n\n\n\n
version: '3'\nservices:\n web:\n image: \"123456789012.dkr.ecr.us-east-1.amazonaws.com\/dockerimages:mnewtag\"\n ports:\n - \"5000:5000\"\n logging:\n driver: awslogs\n options:\n awslogs-group: \/ecs\/development\/testapp-logs\n awslogs-region: us-east-1\n awslogs-stream-prefix: maghilda\n redis:\n image: \"public.ecr.aws\/docker\/library\/redis:6.2-bookworm\"<\/code><\/pre>\n\n\n\nConfigure the cluster with FARGATE as the launch type<\/p>\n\n\n\n
ecs-cli configure --cluster maghilda-cluster --region us-east-1 --default-launch-type FARGATE --config-name ecs-fargate-svs-discovery-config<\/strong>\n\nINFO[0000] Saved ECS CLI cluster configuration ecs-fargate-svs-discovery-config. <\/code><\/pre>\n\n\n\nThis is saved in the ecs config file<\/p>\n\n\n\n
cat ~\/.ecs\/config<\/strong>\n\nversion: v1\ndefault: ecs-fargate-svs-discovery-config\nclusters:\n ecs-fargate-svs-discovery-config:\n cluster: maghilda-cluster\n region: us-east-1\n default_launch_type: FARGATE<\/code><\/pre>\n\n\n\nSTEP 5: Compose a service <\/h5>\n\n\n\n
This is where the magic happens. <\/p>\n\n\n\n
ecs-cli compose --project-name maghilda-testapp \\\nservice up --cluster-config ecs-fargate-svs-discovery-config \\\n--cluster maghilda-cluster --create-log-groups<\/strong>\n\nINFO[0000] Using ECS task definition TaskDefinition=\"maghilda-testapp:1\"\nINFO[0000] Auto-enabling ECS Managed Tags \nINFO[0011] (service maghilda-testapp) has started 1 tasks: (task 61653f47e8de41dfa86927f79dd0c557). timestamp=\"2024-01-16 15:52:37 +0000 UTC\"\nINFO[0067] (service maghilda-testapp) has started 1 tasks: (task 87cb0a1384f348ec82da68ccc6ff3bc5). timestamp=\"2024-01-16 15:53:35 +0000 UTC\"\nINFO[0305] Created an ECS service service=maghilda-testapp taskDefinition=\u201cmaghilda-testapp:1\"\nINFO[0036] Service status desiredCount=1 runningCount=1 serviceName=maghilda-testapp\nINFO[0036] ECS Service has reached a stable state desiredCount=1 runningCount=1 serviceName=maghilda-testapp<\/code><\/pre>\n\n\n\n<\/figure>\n\n\n\nSTEP 6: Validate your implementation<\/h5>\n\n\n\necs-cli ps --cluster maghilda-cluster<\/strong>\n\nName State Ports TaskDefinition Health\nmaghilda-cluster\/4be0c3641cb74194b1588510800f6577\/redis RUNNING maghilda-testapp:1 UNKNOWN\nmaghilda-cluster\/4be0c3641cb74194b1588510800f6577\/web RUNNING 44.192.11.173:5000->5000\/tcp<\/strong> maghilda-testapp:1 UNKNOWN<\/code><\/pre>\n\n\n\nLoad the above url <\/p>\n\n\n\n<\/figure>\n\n\n\nReview the CloudWatch Logs via aws cli or the AWS management console<\/p>\n\n\n\n<\/figure>\n\n\n\n<\/figure>\n\n\n\nSTEP 7: Cleanup resources<\/h5>\n\n\n\n
Delete the service<\/p>\n\n\n\n
ecs-cli compose --project-name maghilda-testapp \\\nservice down --cluster-config ecs-fargate-svs-discovery-config \\\n--cluster maghilda-cluster<\/strong>\n\nINFO[0000] Deleted ECS service service=maghilda-testapp\nINFO[0000] Service status desiredCount=0 runningCount=1 serviceName=maghilda-testapp\nINFO[0005] Service status desiredCount=0 runningCount=0 serviceName=maghilda-testapp\nINFO[0005] ECS Service has reached a stable state desiredCount=0 runningCount=0 serviceName=maghilda-testapp<\/code><\/pre>\n\n\n\nDelete the cluster. This can take a long time as CloudFormation tears down the stack.<\/p>\n\n\n\n
ecs-cli down --force --cluster-config ecs-fargate-svs-discovery-config \\\n--cluster maghilda-cluster<\/strong>\n\n####### this errored out as the cloudformation could not delete the vpc as it had dependencies. i had to delete the vpc manually\nINFO[0000] Waiting for your cluster resources to be deleted... \nINFO[0000] Cloudformation stack status stackStatus=DELETE_IN_PROGRESS\nINFO[0031] Deleted cluster cluster=maghilda-cluster<\/code><\/pre>\n\n\n\nDelete the namespace<\/p>\n\n\n\n
aws servicediscovery list-namespaces<\/strong>\n\n{\n \"Namespaces\": [\n {\n \"Id\": \"ns-fd2a72lp4cvtuvnf\",\n \"Arn\": \"arn:aws:servicediscovery:us-east-1:123456789012:namespace\/ns-fd2a72lp4cvtuvnf\",\n \"Name\": \"maghilda-cluster\",\n \"Type\": \"HTTP\",\n \"Properties\": {\n \"DnsProperties\": {\n \"SOA\": {}\n },\n \"HttpProperties\": {\n \"HttpName\": \"maghilda-cluster\"\n }\n },\n \"CreateDate\": \"2024-01-15T22:48:55.143000-05:00\"\n }\n ]\n}\n\naws servicediscovery delete-namespace --id=\"ns-fd2a72lp4cvtuvnf\"<\/strong>\n\n{\n \"OperationId\": \"ncfzqtijxhicuygj4ziuw53ggekmoqvt-6pl90bxl\"\n}\n\naws servicediscovery list-namespaces<\/strong>\n{\n \"Namespaces\": []\n}<\/code><\/pre>\n\n\n\nDelete ECR repository<\/p>\n\n\n\n
aws ecr delete-repository --repository-name dockerimages --region us-east-1 --force<\/code><\/pre>\n\n\n\nDelete CloudWatch Logs<\/p>\n\n\n\n
aws logs delete-log-group --log-group-name \/ecs\/development\/testapp-logs<\/code><\/pre>\n\n\n\nThis is the end of the tutorial. Hope you got something out of it.<\/p>\n\n\n\n
References:<\/h5>\n\n\n\n\n- https:\/\/docs.docker.com\/compose\/gettingstarted\/<\/a><\/li>\n\n\n\n
- https:\/\/github.com\/docker\/awesome-compose<\/a><\/li>\n\n\n\n
- https:\/\/github.com\/aws\/amazon-ecs-cli<\/a><\/li>\n\n\n\n
- https:\/\/docs.aws.amazon.com\/AmazonECS\/latest\/developerguide\/ProgrammingGuide.html<\/a><\/li>\n\n\n\n
- https:\/\/github.com\/aws-containers\/demo-app-for-docker-compose<\/a><\/li>\n\n\n\n
- https:\/\/gallery.ecr.aws\/<\/a><\/li>\n\n\n\n
- https:\/\/www.bogotobogo.com\/DevOps\/Docker\/Docker-ECS-Service-Dicsovery-Redis-Flask.php<\/a><\/li>\n\n\n\n
- https:\/\/aws.amazon.com\/blogs\/containers\/automated-software-delivery-using-docker-compose-and-amazon-ecs\/<\/a><\/li>\n\n\n\n
- https:\/\/github.com\/docker\/compose-cli\/blob\/main\/docs\/ecs-compose-examples.md<\/a><\/li>\n\n\n\n
- https:\/\/aws.amazon.com\/blogs\/containers\/deploy-applications-on-amazon-ecs-using-docker-compose\/<\/a><\/li>\n\n\n\n
- https:\/\/aws.amazon.com\/getting-started\/hands-on\/deploy-docker-containers\/<\/a><\/li>\n\n\n\n
- https:\/\/docs.aws.amazon.com\/AmazonECS\/latest\/userguide\/create-container-image.html<\/a><\/li>\n\n\n\n
- https:\/\/docs.aws.amazon.com\/AmazonECS\/latest\/developerguide\/using_awslogs.html<\/a><\/li>\n\n\n\n
- https:\/\/awscli.amazonaws.com\/v2\/documentation\/api\/latest\/reference\/ecs\/index.html<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
In this tutorial, we will deploy docker containers on Amazon ECS using AWS Fargate. We will be using ECS-CLI to build the stack step by step. Amazon ECS Command Line Interface (CLI) is a command line tool for Amazon Elastic Container Service (Amazon ECS) that provides high-level commands to simplify creating, updating, and monitoring clusters […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"nf_dc_page":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[12,62,55,60,58,61,59,63],"tags":[66,64,65,67],"class_list":["post-2446","post","type-post","status-publish","format-standard","hentry","category-aws-tutorial","category-aws-cli","category-cloudwatch","category-docker","category-ecs","category-ecs-cli","category-fargate","category-vpc","tag-docker","tag-ecs","tag-fargate","tag-vpc"],"yoast_head":"\n
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Steps<\/h5>\n\n\n\n\n- Build your image using Dockerfile, run it locally and validate that it executes successfully (I am using the sample application from Docker<\/a> for this tutorial)<\/li>\n\n\n\n
- Rebuild the image with changes to app.py and deploy the image to ECR<\/li>\n\n\n\n
- Create a cluster and security group<\/li>\n\n\n\n
- Create ecs-params.yml and docker-compose.yml files and configure the cluster <\/li>\n\n\n\n
- Compose a service <\/li>\n\n\n\n
- Validate your implementation<\/li>\n\n\n\n
- Clean up resources<\/li>\n<\/ol>\n\n\n\n
STEP 1 : Docker Compose<\/h5>\n\n\n\n
I have very small variation from the Docker tutorial, but listing all the files below with the changes highlighted. My folder name is testapp and that’s why you will notice the default naming convention of the containers and images with testapp.<\/p>\n\n\n\n
app.py<\/p>\n\n\n\n
import time\nimport redis\nfrom flask import Flask\n\napp = Flask(__name__)\ncache = redis.Redis(host='redis', port=6379)\n# change to localhost for deploying to ECS\n#cache = redis.Redis(host='localhost', port=6379)<\/strong>\n\ndef get_hit_count():\n retries = 5\n while True:\n try:\n return cache.incr('hits')\n except redis.exceptions.ConnectionError as exc:\n if retries == 0:\n raise exc\n retries -= 1\n time.sleep(0.5)\n\n@app.route('\/')\ndef hello():\n count = get_hit_count()\n return 'Hello Maghilda! I have been seen {} times.\\n'.format(count)<\/code><\/pre>\n\n\n\nDockerfile<\/p>\n\n\n\n
FROM python:3.11-alpine<\/strong>\nWORKDIR \/code\nENV FLASK_APP=app.py\nENV FLASK_RUN_HOST=0.0.0.0\nRUN apk add --no-cache gcc musl-dev linux-headers\nCOPY requirements.txt requirements.txt\n#install dependencies from list\nRUN pip install -r requirements.txt\nEXPOSE 5000\nCOPY . .\nCMD [\"flask\", \"run\"]<\/code><\/pre>\n\n\n\ncompose.yml<\/p>\n\n\n\n
services:\n web:\n build: .\n ports:\n - \"5000:5000\"\n networks:\n - demoapp<\/strong>\n redis:\n image: \"redis:alpine\"\n networks:\n - demoapp<\/strong>\n volumes:\n - redisdata:\/data<\/strong>\n\nnetworks:\n demoapp:\n\nvolumes:\n redisdata:<\/strong><\/code><\/pre>\n\n\n\nBuild and run your app with compose<\/p>\n\n\n\n
docker compose up -d<\/code><\/pre>\n\n\n\nWhen the docker compose finishes successfully, you can either go http:\/\/127.0.0.1:5000 or use a curl command to validate.<\/p>\n\n\n\n
curl '127.0.0.1:5000'<\/strong>\n\nHello Maghilda! I have been seen 1 times.<\/code><\/pre>\n\n\n\nTo check the env variable that you had defined in the Dockerfile<\/p>\n\n\n\n
docker compose run web env<\/strong>\n\nPATH=\/usr\/local\/bin:\/usr\/local\/sbin:\/usr\/local\/bin:\/usr\/sbin:\/usr\/bin:\/sbin:\/bin\nHOSTNAME=b0d84f2608d6\nTERM=xterm\nLANG=C.UTF-8\nGPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D\nPYTHON_VERSION=3.11.7\nPYTHON_PIP_VERSION=23.2.1\nPYTHON_SETUPTOOLS_VERSION=65.5.1\nPYTHON_GET_PIP_URL=https:\/\/github.com\/pypa\/get-pip\/raw\/4cfa4081d27285bda1220a62a5ebf5b4bd749cdb\/public\/get-pip.py\nPYTHON_GET_PIP_SHA256=9cc01665956d22b3bf057ae8287b035827bfd895da235bcea200ab3b811790b6\nFLASK_APP=app.py\nFLASK_RUN_HOST=0.0.0.0\nHOME=\/root<\/code><\/pre>\n\n\n\ndocker ps<\/strong>\n\nCONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES\nc05b5b095fab redis:alpine<\/strong> \"docker-entrypoint.s\u2026\" 4 minutes ago Up 4 minutes 6379\/tcp testapp-redis-1\n9e07c31729a6 testapp-web<\/strong> \"flask run\" 4 minutes ago Up 4 minutes 0.0.0.0:5000->5000\/tcp testapp-web-1<\/code><\/pre>\n\n\n\n<\/p>\n\n\n\n
Login to the container<\/p>\n\n\n\n
docker exec -it 9e07c31729a6<\/strong> \/bin\/sh<\/code><\/pre>\n\n\n\nYou will get the container terminal, run some commands in the container terminal. I ran the ls command which listed all the files. Once done, type exit.<\/p>\n\n\n\n
\/code # ls<\/strong>\n\nDockerfile app.py requirements.txt\n__pycache__ compose.yaml <\/code><\/pre>\n\n\n\nShut down the container and delete the image<\/p>\n\n\n\n
docker compose down -v<\/code><\/pre>\n\n\n\nSTEP 2: Rebuild the image with changes to app.py and deploy the image to ECR<\/h5>\n\n\n\n
For the image to work in ECS, update the app.py. Change the redis connection from redis to localhost as follows:<\/p>\n\n\n\n
#cache = redis.Redis(host='redis'<\/strong>, port=6379)\n# change to localhost for deploying to ECS\ncache = redis.Redis(host='localhost'<\/strong>, port=6379)<\/code><\/pre>\n\n\n\nThen build the image again but without docker compose<\/p>\n\n\n\n
docker build -t testapp .<\/code><\/pre>\n\n\n\nTag the new image<\/p>\n\n\n\n
docker tag testapp 123456789012.dkr.ecr.us-east-1.amazonaws.com\/dockerimages:mnewtag<\/strong><\/code><\/pre>\n\n\n\nCreate a repository in ECR. I named it dockerimages<\/p>\n\n\n\n
aws ecr create-repository --repository-name dockerimages --region us-east-1<\/strong>\n\n{\n \"repository\": {\n \"repositoryArn\": \"arn:aws:ecr:us-east-1:123456789012:repository\/dockerimages\",\n \"registryId\": \"123456789012\",\n \"repositoryName\": \"dockerimages\",\n \"repositoryUri\": \"123456789012.dkr.ecr.us-east-1.amazonaws.com\/dockerimages\",\n \"createdAt\": \"2024-01-16T13:53:20-05:00\",\n \"imageTagMutability\": \"MUTABLE\",\n \"imageScanningConfiguration\": {\n \"scanOnPush\": false\n },\n \"encryptionConfiguration\": {\n \"encryptionType\": \"AES256\"\n }\n }\n}<\/code><\/pre>\n\n\n\nLogin to ECR from Docker<\/p>\n\n\n\n
aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin 123456789012.dkr.ecr.us-east-1.amazonaws.com<\/strong>\n\nLogin Succeeded<\/code><\/pre>\n\n\n\nPush the newly created image from Docker to ECR<\/p>\n\n\n\n
docker push 123456789012.dkr.ecr.us-east-1.amazonaws.com\/dockerimages:mnewtag<\/strong>\n\nThe push refers to repository [123456789012.dkr.ecr.us-east-1.amazonaws.com\/dockerimages]\n5ad795cc690c: Pushed \na10eca000a2f: Pushed \nmnewtag: digest: sha256:02ec90be72edeb611f1222f548e5884ad8dfce204f693575cf5d9e0bf5d71296 size: 2412<\/code><\/pre>\n\n\n\naws ecr list-images --repository-name dockerimages\n{\n \"imageIds\": [\n {\n \"imageDigest\": \"sha256:02ec90be72edeb611f1222f548e5884ad8dfce204f693575cf5d9e0bf5d71296\",\n \"imageTag\": \"mnewtag\"\n }\n ]\n}<\/code><\/pre>\n\n\n\nSTEP 3: Create a cluster and a security group<\/h5>\n\n\n\n
This will launch a cloudformation stack<\/p>\n\n\n\n
ecs-cli up --cluster maghilda-cluster --launch-type FARGATE <\/strong>\n\nINFO[0000] Created cluster cluster=maghilda-cluster region=us-east-1\nINFO[0001] Waiting for your cluster resources to be created... \nINFO[0001] Cloudformation stack status stackStatus=CREATE_IN_PROGRESS\nVPC created: vpc-02b89083fd596fab1\nSubnet created: subnet-0ad8279daf5983c83\nSubnet created: subnet-03060b21523ea37b5\nCluster creation succeeded.<\/code><\/pre>\n\n\n\naws ecs describe-clusters \\\n --include ATTACHMENTS \\\n --clusters maghilda-cluster<\/strong>\n\n{\n \"clusters\": [\n {\n \"clusterArn\": \"arn:aws:ecs:us-east-1:123456789012:cluster\/maghilda-cluster\",\n \"clusterName\": \"maghilda-cluster\",\n \"status\": \"ACTIVE\",\n \"registeredContainerInstancesCount\": 0,\n \"runningTasksCount\": 0,\n \"pendingTasksCount\": 0,\n \"activeServicesCount\": 0,\n \"statistics\": [],\n \"tags\": [],\n \"settings\": [],\n \"capacityProviders\": [],\n \"defaultCapacityProviderStrategy\": [],\n \"attachments\": []\n }\n ],\n \"failures\": []\n}<\/code><\/pre>\n\n\n\nCreate a security group<\/p>\n\n\n\n
aws ec2 create-security-group --group-name \"maghilda-fargate-service-discovery-sg\" \\\n--description \"Maghilda Fargate Service Discovery security group\" \\\n--vpc-id \"vpc-02b89083fd596fab1\"<\/strong>\n\n{\n \"GroupId\": \"sg-0ee81ee6e7c955957\"\n}<\/code><\/pre>\n\n\n\nCreate ingress rules to allow 5000 traffic<\/p>\n\n\n\n
aws ec2 authorize-security-group-ingress \\\n--group-id \"sg-0ee81ee6e7c955957\" --protocol \\\ntcp --port 5000 --cidr 0.0.0.0\/0<\/strong>\n\n{\n \"Return\": true,\n \"SecurityGroupRules\": [\n {\n \"SecurityGroupRuleId\": \"sgr-0fdd8b43e8f6c61f3\",\n \"GroupId\": \"sg-0ee81ee6e7c955957\",\n \"GroupOwnerId\": \"123456789012\",\n \"IsEgress\": false,\n \"IpProtocol\": \"tcp\",\n \"FromPort\": 5000,\n \"ToPort\": 5000,\n \"CidrIpv4\": \"0.0.0.0\/0\"\n }\n ]\n}<\/code><\/pre>\n\n\n\nSTEP 4: Create ecs-params.yml and docker-compose.yml files and configure the cluster <\/h5>\n\n\n\n
ecs-params.yml<\/p>\n\n\n\n
version: 1\ntask_definition:\n task_execution_role: ecsTaskExecutionRole\n ecs_network_mode: awsvpc\n task_size:\n mem_limit: 0.5GB\n cpu_limit: 256\nrun_params:\n network_configuration:\n awsvpc_configuration:\n subnets:\n - \"subnet-0ad8279daf5983c83\"\n - \"subnet-03060b21523ea37b5\"\n security_groups:\n - \"sg-0ee81ee6e7c955957\"\n assign_public_ip: ENABLED<\/code><\/pre>\n\n\n\ndocker-compose.yml. This is not the same as compose.yml file above<\/p>\n\n\n\n
version: '3'\nservices:\n web:\n image: \"123456789012.dkr.ecr.us-east-1.amazonaws.com\/dockerimages:mnewtag\"\n ports:\n - \"5000:5000\"\n logging:\n driver: awslogs\n options:\n awslogs-group: \/ecs\/development\/testapp-logs\n awslogs-region: us-east-1\n awslogs-stream-prefix: maghilda\n redis:\n image: \"public.ecr.aws\/docker\/library\/redis:6.2-bookworm\"<\/code><\/pre>\n\n\n\nConfigure the cluster with FARGATE as the launch type<\/p>\n\n\n\n
ecs-cli configure --cluster maghilda-cluster --region us-east-1 --default-launch-type FARGATE --config-name ecs-fargate-svs-discovery-config<\/strong>\n\nINFO[0000] Saved ECS CLI cluster configuration ecs-fargate-svs-discovery-config. <\/code><\/pre>\n\n\n\nThis is saved in the ecs config file<\/p>\n\n\n\n
cat ~\/.ecs\/config<\/strong>\n\nversion: v1\ndefault: ecs-fargate-svs-discovery-config\nclusters:\n ecs-fargate-svs-discovery-config:\n cluster: maghilda-cluster\n region: us-east-1\n default_launch_type: FARGATE<\/code><\/pre>\n\n\n\nSTEP 5: Compose a service <\/h5>\n\n\n\n
This is where the magic happens. <\/p>\n\n\n\n
ecs-cli compose --project-name maghilda-testapp \\\nservice up --cluster-config ecs-fargate-svs-discovery-config \\\n--cluster maghilda-cluster --create-log-groups<\/strong>\n\nINFO[0000] Using ECS task definition TaskDefinition=\"maghilda-testapp:1\"\nINFO[0000] Auto-enabling ECS Managed Tags \nINFO[0011] (service maghilda-testapp) has started 1 tasks: (task 61653f47e8de41dfa86927f79dd0c557). timestamp=\"2024-01-16 15:52:37 +0000 UTC\"\nINFO[0067] (service maghilda-testapp) has started 1 tasks: (task 87cb0a1384f348ec82da68ccc6ff3bc5). timestamp=\"2024-01-16 15:53:35 +0000 UTC\"\nINFO[0305] Created an ECS service service=maghilda-testapp taskDefinition=\u201cmaghilda-testapp:1\"\nINFO[0036] Service status desiredCount=1 runningCount=1 serviceName=maghilda-testapp\nINFO[0036] ECS Service has reached a stable state desiredCount=1 runningCount=1 serviceName=maghilda-testapp<\/code><\/pre>\n\n\n\n<\/figure>\n\n\n\nSTEP 6: Validate your implementation<\/h5>\n\n\n\necs-cli ps --cluster maghilda-cluster<\/strong>\n\nName State Ports TaskDefinition Health\nmaghilda-cluster\/4be0c3641cb74194b1588510800f6577\/redis RUNNING maghilda-testapp:1 UNKNOWN\nmaghilda-cluster\/4be0c3641cb74194b1588510800f6577\/web RUNNING 44.192.11.173:5000->5000\/tcp<\/strong> maghilda-testapp:1 UNKNOWN<\/code><\/pre>\n\n\n\nLoad the above url <\/p>\n\n\n\n<\/figure>\n\n\n\nReview the CloudWatch Logs via aws cli or the AWS management console<\/p>\n\n\n\n<\/figure>\n\n\n\n<\/figure>\n\n\n\nSTEP 7: Cleanup resources<\/h5>\n\n\n\n
Delete the service<\/p>\n\n\n\n
ecs-cli compose --project-name maghilda-testapp \\\nservice down --cluster-config ecs-fargate-svs-discovery-config \\\n--cluster maghilda-cluster<\/strong>\n\nINFO[0000] Deleted ECS service service=maghilda-testapp\nINFO[0000] Service status desiredCount=0 runningCount=1 serviceName=maghilda-testapp\nINFO[0005] Service status desiredCount=0 runningCount=0 serviceName=maghilda-testapp\nINFO[0005] ECS Service has reached a stable state desiredCount=0 runningCount=0 serviceName=maghilda-testapp<\/code><\/pre>\n\n\n\nDelete the cluster. This can take a long time as CloudFormation tears down the stack.<\/p>\n\n\n\n
ecs-cli down --force --cluster-config ecs-fargate-svs-discovery-config \\\n--cluster maghilda-cluster<\/strong>\n\n####### this errored out as the cloudformation could not delete the vpc as it had dependencies. i had to delete the vpc manually\nINFO[0000] Waiting for your cluster resources to be deleted... \nINFO[0000] Cloudformation stack status stackStatus=DELETE_IN_PROGRESS\nINFO[0031] Deleted cluster cluster=maghilda-cluster<\/code><\/pre>\n\n\n\nDelete the namespace<\/p>\n\n\n\n
aws servicediscovery list-namespaces<\/strong>\n\n{\n \"Namespaces\": [\n {\n \"Id\": \"ns-fd2a72lp4cvtuvnf\",\n \"Arn\": \"arn:aws:servicediscovery:us-east-1:123456789012:namespace\/ns-fd2a72lp4cvtuvnf\",\n \"Name\": \"maghilda-cluster\",\n \"Type\": \"HTTP\",\n \"Properties\": {\n \"DnsProperties\": {\n \"SOA\": {}\n },\n \"HttpProperties\": {\n \"HttpName\": \"maghilda-cluster\"\n }\n },\n \"CreateDate\": \"2024-01-15T22:48:55.143000-05:00\"\n }\n ]\n}\n\naws servicediscovery delete-namespace --id=\"ns-fd2a72lp4cvtuvnf\"<\/strong>\n\n{\n \"OperationId\": \"ncfzqtijxhicuygj4ziuw53ggekmoqvt-6pl90bxl\"\n}\n\naws servicediscovery list-namespaces<\/strong>\n{\n \"Namespaces\": []\n}<\/code><\/pre>\n\n\n\nDelete ECR repository<\/p>\n\n\n\n
aws ecr delete-repository --repository-name dockerimages --region us-east-1 --force<\/code><\/pre>\n\n\n\nDelete CloudWatch Logs<\/p>\n\n\n\n
aws logs delete-log-group --log-group-name \/ecs\/development\/testapp-logs<\/code><\/pre>\n\n\n\nThis is the end of the tutorial. Hope you got something out of it.<\/p>\n\n\n\n
References:<\/h5>\n\n\n\n\n- https:\/\/docs.docker.com\/compose\/gettingstarted\/<\/a><\/li>\n\n\n\n
- https:\/\/github.com\/docker\/awesome-compose<\/a><\/li>\n\n\n\n
- https:\/\/github.com\/aws\/amazon-ecs-cli<\/a><\/li>\n\n\n\n
- https:\/\/docs.aws.amazon.com\/AmazonECS\/latest\/developerguide\/ProgrammingGuide.html<\/a><\/li>\n\n\n\n
- https:\/\/github.com\/aws-containers\/demo-app-for-docker-compose<\/a><\/li>\n\n\n\n
- https:\/\/gallery.ecr.aws\/<\/a><\/li>\n\n\n\n
- https:\/\/www.bogotobogo.com\/DevOps\/Docker\/Docker-ECS-Service-Dicsovery-Redis-Flask.php<\/a><\/li>\n\n\n\n
- https:\/\/aws.amazon.com\/blogs\/containers\/automated-software-delivery-using-docker-compose-and-amazon-ecs\/<\/a><\/li>\n\n\n\n
- https:\/\/github.com\/docker\/compose-cli\/blob\/main\/docs\/ecs-compose-examples.md<\/a><\/li>\n\n\n\n
- https:\/\/aws.amazon.com\/blogs\/containers\/deploy-applications-on-amazon-ecs-using-docker-compose\/<\/a><\/li>\n\n\n\n
- https:\/\/aws.amazon.com\/getting-started\/hands-on\/deploy-docker-containers\/<\/a><\/li>\n\n\n\n
- https:\/\/docs.aws.amazon.com\/AmazonECS\/latest\/userguide\/create-container-image.html<\/a><\/li>\n\n\n\n
- https:\/\/docs.aws.amazon.com\/AmazonECS\/latest\/developerguide\/using_awslogs.html<\/a><\/li>\n\n\n\n
- https:\/\/awscli.amazonaws.com\/v2\/documentation\/api\/latest\/reference\/ecs\/index.html<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
In this tutorial, we will deploy docker containers on Amazon ECS using AWS Fargate. We will be using ECS-CLI to build the stack step by step. Amazon ECS Command Line Interface (CLI) is a command line tool for Amazon Elastic Container Service (Amazon ECS) that provides high-level commands to simplify creating, updating, and monitoring clusters […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"nf_dc_page":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[12,62,55,60,58,61,59,63],"tags":[66,64,65,67],"class_list":["post-2446","post","type-post","status-publish","format-standard","hentry","category-aws-tutorial","category-aws-cli","category-cloudwatch","category-docker","category-ecs","category-ecs-cli","category-fargate","category-vpc","tag-docker","tag-ecs","tag-fargate","tag-vpc"],"yoast_head":"\n
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STEP 1 : Docker Compose<\/h5>\n\n\n\n
I have very small variation from the Docker tutorial, but listing all the files below with the changes highlighted. My folder name is testapp and that’s why you will notice the default naming convention of the containers and images with testapp.<\/p>\n\n\n\n
app.py<\/p>\n\n\n\n
import time\nimport redis\nfrom flask import Flask\n\napp = Flask(__name__)\ncache = redis.Redis(host='redis', port=6379)\n# change to localhost for deploying to ECS\n#cache = redis.Redis(host='localhost', port=6379)<\/strong>\n\ndef get_hit_count():\n retries = 5\n while True:\n try:\n return cache.incr('hits')\n except redis.exceptions.ConnectionError as exc:\n if retries == 0:\n raise exc\n retries -= 1\n time.sleep(0.5)\n\n@app.route('\/')\ndef hello():\n count = get_hit_count()\n return 'Hello Maghilda! I have been seen {} times.\\n'.format(count)<\/code><\/pre>\n\n\n\nDockerfile<\/p>\n\n\n\n
FROM python:3.11-alpine<\/strong>\nWORKDIR \/code\nENV FLASK_APP=app.py\nENV FLASK_RUN_HOST=0.0.0.0\nRUN apk add --no-cache gcc musl-dev linux-headers\nCOPY requirements.txt requirements.txt\n#install dependencies from list\nRUN pip install -r requirements.txt\nEXPOSE 5000\nCOPY . .\nCMD [\"flask\", \"run\"]<\/code><\/pre>\n\n\n\ncompose.yml<\/p>\n\n\n\n
services:\n web:\n build: .\n ports:\n - \"5000:5000\"\n networks:\n - demoapp<\/strong>\n redis:\n image: \"redis:alpine\"\n networks:\n - demoapp<\/strong>\n volumes:\n - redisdata:\/data<\/strong>\n\nnetworks:\n demoapp:\n\nvolumes:\n redisdata:<\/strong><\/code><\/pre>\n\n\n\nBuild and run your app with compose<\/p>\n\n\n\n
docker compose up -d<\/code><\/pre>\n\n\n\nWhen the docker compose finishes successfully, you can either go http:\/\/127.0.0.1:5000 or use a curl command to validate.<\/p>\n\n\n\n
curl '127.0.0.1:5000'<\/strong>\n\nHello Maghilda! I have been seen 1 times.<\/code><\/pre>\n\n\n\nTo check the env variable that you had defined in the Dockerfile<\/p>\n\n\n\n
docker compose run web env<\/strong>\n\nPATH=\/usr\/local\/bin:\/usr\/local\/sbin:\/usr\/local\/bin:\/usr\/sbin:\/usr\/bin:\/sbin:\/bin\nHOSTNAME=b0d84f2608d6\nTERM=xterm\nLANG=C.UTF-8\nGPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D\nPYTHON_VERSION=3.11.7\nPYTHON_PIP_VERSION=23.2.1\nPYTHON_SETUPTOOLS_VERSION=65.5.1\nPYTHON_GET_PIP_URL=https:\/\/github.com\/pypa\/get-pip\/raw\/4cfa4081d27285bda1220a62a5ebf5b4bd749cdb\/public\/get-pip.py\nPYTHON_GET_PIP_SHA256=9cc01665956d22b3bf057ae8287b035827bfd895da235bcea200ab3b811790b6\nFLASK_APP=app.py\nFLASK_RUN_HOST=0.0.0.0\nHOME=\/root<\/code><\/pre>\n\n\n\ndocker ps<\/strong>\n\nCONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES\nc05b5b095fab redis:alpine<\/strong> \"docker-entrypoint.s\u2026\" 4 minutes ago Up 4 minutes 6379\/tcp testapp-redis-1\n9e07c31729a6 testapp-web<\/strong> \"flask run\" 4 minutes ago Up 4 minutes 0.0.0.0:5000->5000\/tcp testapp-web-1<\/code><\/pre>\n\n\n\n<\/p>\n\n\n\n
Login to the container<\/p>\n\n\n\n
docker exec -it 9e07c31729a6<\/strong> \/bin\/sh<\/code><\/pre>\n\n\n\nYou will get the container terminal, run some commands in the container terminal. I ran the ls command which listed all the files. Once done, type exit.<\/p>\n\n\n\n
\/code # ls<\/strong>\n\nDockerfile app.py requirements.txt\n__pycache__ compose.yaml <\/code><\/pre>\n\n\n\nShut down the container and delete the image<\/p>\n\n\n\n
docker compose down -v<\/code><\/pre>\n\n\n\nSTEP 2: Rebuild the image with changes to app.py and deploy the image to ECR<\/h5>\n\n\n\n
For the image to work in ECS, update the app.py. Change the redis connection from redis to localhost as follows:<\/p>\n\n\n\n
#cache = redis.Redis(host='redis'<\/strong>, port=6379)\n# change to localhost for deploying to ECS\ncache = redis.Redis(host='localhost'<\/strong>, port=6379)<\/code><\/pre>\n\n\n\nThen build the image again but without docker compose<\/p>\n\n\n\n
docker build -t testapp .<\/code><\/pre>\n\n\n\nTag the new image<\/p>\n\n\n\n
docker tag testapp 123456789012.dkr.ecr.us-east-1.amazonaws.com\/dockerimages:mnewtag<\/strong><\/code><\/pre>\n\n\n\nCreate a repository in ECR. I named it dockerimages<\/p>\n\n\n\n
aws ecr create-repository --repository-name dockerimages --region us-east-1<\/strong>\n\n{\n \"repository\": {\n \"repositoryArn\": \"arn:aws:ecr:us-east-1:123456789012:repository\/dockerimages\",\n \"registryId\": \"123456789012\",\n \"repositoryName\": \"dockerimages\",\n \"repositoryUri\": \"123456789012.dkr.ecr.us-east-1.amazonaws.com\/dockerimages\",\n \"createdAt\": \"2024-01-16T13:53:20-05:00\",\n \"imageTagMutability\": \"MUTABLE\",\n \"imageScanningConfiguration\": {\n \"scanOnPush\": false\n },\n \"encryptionConfiguration\": {\n \"encryptionType\": \"AES256\"\n }\n }\n}<\/code><\/pre>\n\n\n\nLogin to ECR from Docker<\/p>\n\n\n\n
aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin 123456789012.dkr.ecr.us-east-1.amazonaws.com<\/strong>\n\nLogin Succeeded<\/code><\/pre>\n\n\n\nPush the newly created image from Docker to ECR<\/p>\n\n\n\n
docker push 123456789012.dkr.ecr.us-east-1.amazonaws.com\/dockerimages:mnewtag<\/strong>\n\nThe push refers to repository [123456789012.dkr.ecr.us-east-1.amazonaws.com\/dockerimages]\n5ad795cc690c: Pushed \na10eca000a2f: Pushed \nmnewtag: digest: sha256:02ec90be72edeb611f1222f548e5884ad8dfce204f693575cf5d9e0bf5d71296 size: 2412<\/code><\/pre>\n\n\n\naws ecr list-images --repository-name dockerimages\n{\n \"imageIds\": [\n {\n \"imageDigest\": \"sha256:02ec90be72edeb611f1222f548e5884ad8dfce204f693575cf5d9e0bf5d71296\",\n \"imageTag\": \"mnewtag\"\n }\n ]\n}<\/code><\/pre>\n\n\n\nSTEP 3: Create a cluster and a security group<\/h5>\n\n\n\n
This will launch a cloudformation stack<\/p>\n\n\n\n
ecs-cli up --cluster maghilda-cluster --launch-type FARGATE <\/strong>\n\nINFO[0000] Created cluster cluster=maghilda-cluster region=us-east-1\nINFO[0001] Waiting for your cluster resources to be created... \nINFO[0001] Cloudformation stack status stackStatus=CREATE_IN_PROGRESS\nVPC created: vpc-02b89083fd596fab1\nSubnet created: subnet-0ad8279daf5983c83\nSubnet created: subnet-03060b21523ea37b5\nCluster creation succeeded.<\/code><\/pre>\n\n\n\naws ecs describe-clusters \\\n --include ATTACHMENTS \\\n --clusters maghilda-cluster<\/strong>\n\n{\n \"clusters\": [\n {\n \"clusterArn\": \"arn:aws:ecs:us-east-1:123456789012:cluster\/maghilda-cluster\",\n \"clusterName\": \"maghilda-cluster\",\n \"status\": \"ACTIVE\",\n \"registeredContainerInstancesCount\": 0,\n \"runningTasksCount\": 0,\n \"pendingTasksCount\": 0,\n \"activeServicesCount\": 0,\n \"statistics\": [],\n \"tags\": [],\n \"settings\": [],\n \"capacityProviders\": [],\n \"defaultCapacityProviderStrategy\": [],\n \"attachments\": []\n }\n ],\n \"failures\": []\n}<\/code><\/pre>\n\n\n\nCreate a security group<\/p>\n\n\n\n
aws ec2 create-security-group --group-name \"maghilda-fargate-service-discovery-sg\" \\\n--description \"Maghilda Fargate Service Discovery security group\" \\\n--vpc-id \"vpc-02b89083fd596fab1\"<\/strong>\n\n{\n \"GroupId\": \"sg-0ee81ee6e7c955957\"\n}<\/code><\/pre>\n\n\n\nCreate ingress rules to allow 5000 traffic<\/p>\n\n\n\n
aws ec2 authorize-security-group-ingress \\\n--group-id \"sg-0ee81ee6e7c955957\" --protocol \\\ntcp --port 5000 --cidr 0.0.0.0\/0<\/strong>\n\n{\n \"Return\": true,\n \"SecurityGroupRules\": [\n {\n \"SecurityGroupRuleId\": \"sgr-0fdd8b43e8f6c61f3\",\n \"GroupId\": \"sg-0ee81ee6e7c955957\",\n \"GroupOwnerId\": \"123456789012\",\n \"IsEgress\": false,\n \"IpProtocol\": \"tcp\",\n \"FromPort\": 5000,\n \"ToPort\": 5000,\n \"CidrIpv4\": \"0.0.0.0\/0\"\n }\n ]\n}<\/code><\/pre>\n\n\n\nSTEP 4: Create ecs-params.yml and docker-compose.yml files and configure the cluster <\/h5>\n\n\n\n
ecs-params.yml<\/p>\n\n\n\n
version: 1\ntask_definition:\n task_execution_role: ecsTaskExecutionRole\n ecs_network_mode: awsvpc\n task_size:\n mem_limit: 0.5GB\n cpu_limit: 256\nrun_params:\n network_configuration:\n awsvpc_configuration:\n subnets:\n - \"subnet-0ad8279daf5983c83\"\n - \"subnet-03060b21523ea37b5\"\n security_groups:\n - \"sg-0ee81ee6e7c955957\"\n assign_public_ip: ENABLED<\/code><\/pre>\n\n\n\ndocker-compose.yml. This is not the same as compose.yml file above<\/p>\n\n\n\n
version: '3'\nservices:\n web:\n image: \"123456789012.dkr.ecr.us-east-1.amazonaws.com\/dockerimages:mnewtag\"\n ports:\n - \"5000:5000\"\n logging:\n driver: awslogs\n options:\n awslogs-group: \/ecs\/development\/testapp-logs\n awslogs-region: us-east-1\n awslogs-stream-prefix: maghilda\n redis:\n image: \"public.ecr.aws\/docker\/library\/redis:6.2-bookworm\"<\/code><\/pre>\n\n\n\nConfigure the cluster with FARGATE as the launch type<\/p>\n\n\n\n
ecs-cli configure --cluster maghilda-cluster --region us-east-1 --default-launch-type FARGATE --config-name ecs-fargate-svs-discovery-config<\/strong>\n\nINFO[0000] Saved ECS CLI cluster configuration ecs-fargate-svs-discovery-config. <\/code><\/pre>\n\n\n\nThis is saved in the ecs config file<\/p>\n\n\n\n
cat ~\/.ecs\/config<\/strong>\n\nversion: v1\ndefault: ecs-fargate-svs-discovery-config\nclusters:\n ecs-fargate-svs-discovery-config:\n cluster: maghilda-cluster\n region: us-east-1\n default_launch_type: FARGATE<\/code><\/pre>\n\n\n\nSTEP 5: Compose a service <\/h5>\n\n\n\n
This is where the magic happens. <\/p>\n\n\n\n
ecs-cli compose --project-name maghilda-testapp \\\nservice up --cluster-config ecs-fargate-svs-discovery-config \\\n--cluster maghilda-cluster --create-log-groups<\/strong>\n\nINFO[0000] Using ECS task definition TaskDefinition=\"maghilda-testapp:1\"\nINFO[0000] Auto-enabling ECS Managed Tags \nINFO[0011] (service maghilda-testapp) has started 1 tasks: (task 61653f47e8de41dfa86927f79dd0c557). timestamp=\"2024-01-16 15:52:37 +0000 UTC\"\nINFO[0067] (service maghilda-testapp) has started 1 tasks: (task 87cb0a1384f348ec82da68ccc6ff3bc5). timestamp=\"2024-01-16 15:53:35 +0000 UTC\"\nINFO[0305] Created an ECS service service=maghilda-testapp taskDefinition=\u201cmaghilda-testapp:1\"\nINFO[0036] Service status desiredCount=1 runningCount=1 serviceName=maghilda-testapp\nINFO[0036] ECS Service has reached a stable state desiredCount=1 runningCount=1 serviceName=maghilda-testapp<\/code><\/pre>\n\n\n\n<\/figure>\n\n\n\nSTEP 6: Validate your implementation<\/h5>\n\n\n\necs-cli ps --cluster maghilda-cluster<\/strong>\n\nName State Ports TaskDefinition Health\nmaghilda-cluster\/4be0c3641cb74194b1588510800f6577\/redis RUNNING maghilda-testapp:1 UNKNOWN\nmaghilda-cluster\/4be0c3641cb74194b1588510800f6577\/web RUNNING 44.192.11.173:5000->5000\/tcp<\/strong> maghilda-testapp:1 UNKNOWN<\/code><\/pre>\n\n\n\nLoad the above url <\/p>\n\n\n\n<\/figure>\n\n\n\nReview the CloudWatch Logs via aws cli or the AWS management console<\/p>\n\n\n\n<\/figure>\n\n\n\n<\/figure>\n\n\n\nSTEP 7: Cleanup resources<\/h5>\n\n\n\n
Delete the service<\/p>\n\n\n\n
ecs-cli compose --project-name maghilda-testapp \\\nservice down --cluster-config ecs-fargate-svs-discovery-config \\\n--cluster maghilda-cluster<\/strong>\n\nINFO[0000] Deleted ECS service service=maghilda-testapp\nINFO[0000] Service status desiredCount=0 runningCount=1 serviceName=maghilda-testapp\nINFO[0005] Service status desiredCount=0 runningCount=0 serviceName=maghilda-testapp\nINFO[0005] ECS Service has reached a stable state desiredCount=0 runningCount=0 serviceName=maghilda-testapp<\/code><\/pre>\n\n\n\nDelete the cluster. This can take a long time as CloudFormation tears down the stack.<\/p>\n\n\n\n
ecs-cli down --force --cluster-config ecs-fargate-svs-discovery-config \\\n--cluster maghilda-cluster<\/strong>\n\n####### this errored out as the cloudformation could not delete the vpc as it had dependencies. i had to delete the vpc manually\nINFO[0000] Waiting for your cluster resources to be deleted... \nINFO[0000] Cloudformation stack status stackStatus=DELETE_IN_PROGRESS\nINFO[0031] Deleted cluster cluster=maghilda-cluster<\/code><\/pre>\n\n\n\nDelete the namespace<\/p>\n\n\n\n
aws servicediscovery list-namespaces<\/strong>\n\n{\n \"Namespaces\": [\n {\n \"Id\": \"ns-fd2a72lp4cvtuvnf\",\n \"Arn\": \"arn:aws:servicediscovery:us-east-1:123456789012:namespace\/ns-fd2a72lp4cvtuvnf\",\n \"Name\": \"maghilda-cluster\",\n \"Type\": \"HTTP\",\n \"Properties\": {\n \"DnsProperties\": {\n \"SOA\": {}\n },\n \"HttpProperties\": {\n \"HttpName\": \"maghilda-cluster\"\n }\n },\n \"CreateDate\": \"2024-01-15T22:48:55.143000-05:00\"\n }\n ]\n}\n\naws servicediscovery delete-namespace --id=\"ns-fd2a72lp4cvtuvnf\"<\/strong>\n\n{\n \"OperationId\": \"ncfzqtijxhicuygj4ziuw53ggekmoqvt-6pl90bxl\"\n}\n\naws servicediscovery list-namespaces<\/strong>\n{\n \"Namespaces\": []\n}<\/code><\/pre>\n\n\n\nDelete ECR repository<\/p>\n\n\n\n
aws ecr delete-repository --repository-name dockerimages --region us-east-1 --force<\/code><\/pre>\n\n\n\nDelete CloudWatch Logs<\/p>\n\n\n\n
aws logs delete-log-group --log-group-name \/ecs\/development\/testapp-logs<\/code><\/pre>\n\n\n\nThis is the end of the tutorial. Hope you got something out of it.<\/p>\n\n\n\n
References:<\/h5>\n\n\n\n\n- https:\/\/docs.docker.com\/compose\/gettingstarted\/<\/a><\/li>\n\n\n\n
- https:\/\/github.com\/docker\/awesome-compose<\/a><\/li>\n\n\n\n
- https:\/\/github.com\/aws\/amazon-ecs-cli<\/a><\/li>\n\n\n\n
- https:\/\/docs.aws.amazon.com\/AmazonECS\/latest\/developerguide\/ProgrammingGuide.html<\/a><\/li>\n\n\n\n
- https:\/\/github.com\/aws-containers\/demo-app-for-docker-compose<\/a><\/li>\n\n\n\n
- https:\/\/gallery.ecr.aws\/<\/a><\/li>\n\n\n\n
- https:\/\/www.bogotobogo.com\/DevOps\/Docker\/Docker-ECS-Service-Dicsovery-Redis-Flask.php<\/a><\/li>\n\n\n\n
- https:\/\/aws.amazon.com\/blogs\/containers\/automated-software-delivery-using-docker-compose-and-amazon-ecs\/<\/a><\/li>\n\n\n\n
- https:\/\/github.com\/docker\/compose-cli\/blob\/main\/docs\/ecs-compose-examples.md<\/a><\/li>\n\n\n\n
- https:\/\/aws.amazon.com\/blogs\/containers\/deploy-applications-on-amazon-ecs-using-docker-compose\/<\/a><\/li>\n\n\n\n
- https:\/\/aws.amazon.com\/getting-started\/hands-on\/deploy-docker-containers\/<\/a><\/li>\n\n\n\n
- https:\/\/docs.aws.amazon.com\/AmazonECS\/latest\/userguide\/create-container-image.html<\/a><\/li>\n\n\n\n
- https:\/\/docs.aws.amazon.com\/AmazonECS\/latest\/developerguide\/using_awslogs.html<\/a><\/li>\n\n\n\n
- https:\/\/awscli.amazonaws.com\/v2\/documentation\/api\/latest\/reference\/ecs\/index.html<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
In this tutorial, we will deploy docker containers on Amazon ECS using AWS Fargate. We will be using ECS-CLI to build the stack step by step. Amazon ECS Command Line Interface (CLI) is a command line tool for Amazon Elastic Container Service (Amazon ECS) that provides high-level commands to simplify creating, updating, and monitoring clusters […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"nf_dc_page":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[12,62,55,60,58,61,59,63],"tags":[66,64,65,67],"class_list":["post-2446","post","type-post","status-publish","format-standard","hentry","category-aws-tutorial","category-aws-cli","category-cloudwatch","category-docker","category-ecs","category-ecs-cli","category-fargate","category-vpc","tag-docker","tag-ecs","tag-fargate","tag-vpc"],"yoast_head":"\n
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