I have pushed the initial docker image into repository and created AWS Fargate using the image, is there any way to update the image as there are certain changes in my docker image.
As simple as:
aws ecs update-service --cluster <cluster> --service <service> --force-new-deployment
See AWS documentation:
If you have updated the Docker image of your application, you can create a new task definition with that image and deploy it to your service.
Note
If your updated Docker image uses the same tag as what is in the existing task definition for your service (for example, my_image:latest), you do not need to create a new revision of your task definition. You can update the service using the procedure below, keep the current settings for your service, and select Force new deployment. The new tasks launched by the deployment pull the current image/tag combination from your repository when they start. The Force new deployment option is also used when updating a Fargate task to use a more current platform version when you specify LATEST. For example, if you specified LATEST and your running tasks are using the 1.0.0 platform version and you want them to relaunch using a newer platform version.
https://docs.aws.amazon.com/AmazonECS/latest/userguide/update-service.html#update-service
Create a new version of the task definition and update the container with latest labels and update the service.
You can write the configuration file once you created a cluster using the default-launch-type as FARGATE for your application and define the respective parameters in your task definition i.e. ecs-params.yaml
Here is one file for the nginx:latest image which is stored in Amazon ECR.
version: '2'
services:
web:
image: account-id.dkr.ecr.ap-southeast-1.amazonaws.com/nginx:latest
ports:
- "80:80"
logging:
driver: awslogs
options:
awslogs-group: awslogs-web
awslogs-region: ap-southeast-1
awslogs-stream-prefix: web-nginx
You simply change the image and you could get the updated image into your deployment as you update the service inside your cluster.
If you have updated the Docker image of your application, you can create a new task definition with that image and deploy it to your service. The service scheduler uses the minimum healthy percent and maximum percent parameters (in the service's deployment configuration) to determine the deployment strategy.
Note: The Execution Role in task definition gives permissions to pull the images from container registry.
You could find the doc guide here, AWS ECS Update Service
Related
I am currently using ECS to deploy a web application. This Application is pushed on my ECR with the latest tag but putting new images doesn't seem to change the code at deployment.
I tried to use the answer found here How do I deploy updated Docker images to Amazon ECS tasks? using aws ecs update-service --cluster <cluster name> --service <service name> --force-new-deployment.
I also put ECS_IMAGE_PULL_BEHAVIOR=always in my ecs config and deployment_minimum_healthy_percent = 0 and deployment_maximum_percent = 200 in my deployment settings.
I notice that the image digest is matching the latest image, but by logging on the container, the code is not different from the previous version. But by executing docker pull <my_image:latest> the changes are there.
You need to update task definition first (create new one) and then deploy it.
ECS task definition
CLI for register task
Final goal: To deploy a ready-made cryptocurrency exchange on AWS.
I have setup a readymade server by 0xProject by running the following command on my local machine:
npx #0x/launch-kit-wizard && docker-compose up
This command creates a docker-compose.yml file which has multiple container definitions and starts the exchange on http://localhost:3001/
I need to deploy this to AWS for which I'm following this Youtube tutorial
I have created a registry user with appropriate permissions
An EC2 instance is created
ECR repository is created
AWS CLI is configured
As per AWS instructions, I'm retrieving an authentication token and authenticating Docker client to registry:
aws ecr get-login-password --region us-east-2 | docker login --username AWS --password-stdin <docker-id-given-by-AWS>.dkr.ecr.us-east-2.amazonaws.com
I'm trying to build the docker image:
docker build -t testdockerregistry .
Now, since in this case, we have docker-compose.yml instead of Dockerfile - when I try to build the image - it throws the following error:
unable to prepare context: unable to evaluate symlinks in Dockerfile path: CreateFile C:\Users\hp\Desktop\xxx\Dockerfile: The system cannot find the file specified.
I tried building image from docker-compose itself as per this guide, which fails with the following message:
postgres uses an image, skipping
frontend uses an image, skipping
mesh uses an image, skipping
backend uses an image, skipping
nginx uses an image, skipping
Can anyone please help me with this?
You can use the aws ecs cli-compose command from the ECS CLI.
By using this command it will translate the docker-compose file you create into a ECS Task Definition.
If you're interested in finding out more about the CLI take a read of the AWS documentation here.
Another approach, instead of using the AWS ECS CLI directly, is to use the new docker/compose-cli
This CLI tool makes it easy to run Docker containers and Docker Compose applications in the cloud using either Amazon Elastic Container Service (ECS) or Microsoft Azure Container Instances (ACI) using the Docker commands you already know.
See "Docker Announces Open Source Compose for AWS ECS & Microsoft ACI " from Aditya Kulkarni.
It references "Docker Open Sources Compose for Amazon ECS and Microsoft ACI" from Chris Crone, Engineer #docker:
While implementing these integrations, we wanted to make sure that existing CLI commands were not impacted.
We also wanted an architecture that would make it easy to add new backends and provide SDKs in popular languages. We achieved this with the following architecture:
I have have created two clusters ECS in the same subnetwork, one for jenkins master and other for jenkins slave(empty cluster). I have installed Amazon ECS plugin on jenkins master but I am not able to configure jenkins slave node. I created both clusters using ecs-cli up command and following are my settings for Amazon ECS plugin similar to my cluster. After running this job a task definition is created in ECS but the service and task definition are not created in the cluster.
Name: ecs-jenkins-slave
Amazon ECS Credential: aws_credentials
ECS Region Name: cluster_region
ECS Clutser: cluster_cluster
ECS Agent Template
Label: ecs-jenkins-slave
Docker Image: jenkinsci/jnlp-slave
Subnet: cluster_subnet
security_group: cluster_sg
(rest of the fields are default)
I created a test job to verify configuration and under Restrict where this project can be run of my test job, I am getting Label ecs-jenkins-slave is serviced by no nodes and 1 cloud. Permissions or other restrictions provided by plugins may prevent this job from running on those nodes message. When I am running the job, it is going in pending state with message '(pending—‘Jenkins’ doesn’t have label ‘ecs-jenkins-slave’) '
I am trying to restart an AWS service (basically stop and start all tasks within the service) without making any changes to the task definition.
The reason for this is because the image has the latest tag attached with every build.
I have tried stopping all tasks and having the services recreate them but this means that there is some temporarily unavailable error when the services are restarting in my instances (2).
What is the best way to handle this? Say, A blue-green deployment strategy so that there is no downtime?
This is what I have currently. It'shortcomings is that my app will be down for a couple of seconds as the service's tasks are being rebuilt after deleting them.
configure_aws_cli(){
aws --version
aws configure set default.region us-east-1
aws configure set default.output json
}
start_tasks() {
start_task=$(aws ecs start-task --cluster $CLUSTER --task-definition $DEFINITION --container-instances $EC2_INSTANCE --group $SERVICE_GROUP --started-by $SERVICE_ID)
echo "$start_task"
}
stop_running_tasks() {
tasks=$(aws ecs list-tasks --cluster $CLUSTER --service $SERVICE | $JQ ".taskArns | . []");
tasks=( $tasks )
for task in "${tasks[#]}"
do
[[ ! -z "$task" ]] && stop_task=$(aws ecs stop-task --cluster $CLUSTER --task "$task")
done
}
push_ecr_image(){
echo "Push built image to ECR"
eval $(aws ecr get-login --region us-east-1)
docker push $AWS_ACCOUNT_ID.dkr.ecr.us-east-1.amazonaws.com/repository:$TAG
}
configure_aws_cli
push_ecr_image
stop_running_tasks
start_tasks
Use update-service and the --force-new-deployment flag:
aws ecs update-service --force-new-deployment --service my-service --cluster cluster-name
Hold on a sec.
If I understood you usecase correctly, this is addressed in the official docs:
If your updated Docker image uses the same tag as what is in the existing task definition for your service (for example, my_image:latest), you do not need to create a new revision of your task definition. You can update the service using the procedure below, keep the current settings for your service, and select Force new deployment....
To avoid downtime, you should manipulate 2 parameters: minimum healthy percent and maximum percent:
For example, if your service has a desired number of four tasks and a maximum percent value of 200%, the scheduler may start four new tasks before stopping the four older tasks (provided that the cluster resources required to do this are available). The default value for maximum percent is 200%.
This basically mean, that regardless of whether your task definition changed and to what extent, there can be an "overlap" between the old and the new ones, and this is the way to achieve resilience and reliability.
UPDATE:
Amazon has just introduced External Deployment Controllers for ECS(both EC2 and Fargate). It includes a new level of abstraction called TaskSet. I haven't tried it myself yet, but such fine grain control over service and task management(both APIs are supported) can potentially solve the problem akin this one.
After you push your new image to your Docker repository, you can create a new revision of your task definition (it can be identical to the existing task definition) and update your service to use the new task definition revision. This will trigger a service deployment, and your service will pull the new image from your repository.
This way your task definition stays the same (although updating the service to a new task definition revision is required to trigger the image pull), and still uses the "latest" tag of your image, but you can take advantage of the ECS service deployment functionality to avoid downtime.
The fact that I have to create a new revision of my task definition every time even when there is no change in the task definition itself is not right.
There are a bunch of crude bash implementations on this which means that AWS should have the ECS service scheduler listen for changes/updates in the image, especially for an automated build process.
My crude work-around to this was have two identical task definitions and switch between them for every build. That way I don't have redundant revisions.
Here is the specific script snippet that does that.
update_service() {
echo "change task definition and update service"
taskDefinition=$(aws ecs describe-services --cluster $CLUSTER --services $SERVICE | $JQ ".services | . [].taskDefinition")
if [ "$taskDefinition" = "$TASK_DEF_1" ]; then
newDefinition="$TASK_DEF_2"
else
newDefinition="$TASK_DEF_1"
fi
rollUpdate=$(aws ecs update-service --cluster $CLUSTER --service $SERVICE --task-definition $newDefinition)
}
Did you have this question solved? Perhaps this will work for you.
With a new release image pushed to ECR with a version tag, i.e. v1.05, and the latest tag, the image locator in my task definition needed to be explicitly updated to have this version tag postfixed like :v1.05.
With :latest, this new image did not get pulled by the new container after aws ecs update-service --force-new-deployment --service my-service.
I was doing tagging and pushing like this:
docker tag ${imageId} ${ecrRepoUri}:v1.05
docker tag ${imageId} ${ecrRepoUri}:latest
docker push ${ecrRepoUri}
...where as this is the proper way of pushing multiple tags:
docker tag ${imageId} ${ecrRepoUri}
docker push ${ecrRepoUri}:v1.05
docker push ${ecrRepoUri}:latest
This was briefly mentioned in the official docs without a proper example.
Works great https://github.com/fdfk/ecsServiceRestart
python ecsServiceRestart.py restart --services="app app2" --cluster=test
The quick and dirty way:
login to EC2 instance running the task
find your container with docker container list
use docker restart [container]
I’m new to both Amazon’s ECS and docker, and I don’t know how to deploy new images.
I currently create a new image in ECR with
NAME_TAG=my-image-name:my-tag-v1
ECR=my-acct-number.dkr.ecr.us-east-1.amazonaws.com
docker build -t $NAME_TAG .
docker tag -f $NAME_TAG $ECR/$NAME_TAG
$(aws ecr get-login --region us-east-1) #log in
docker push $ECR/$NAME_TAG
At this point I don't know how to deploy the new container from ECR to my cluster.
I created the cluster, task and service using a Cloud Formation template, but updating the TaskDefinition image to $ECR/$NAME_TAG and running a stack update eventually times out and fails with a “service did not stabilize” error.
If I push to my-image-name:latest, my cluster instances do pull down the new image, but they don’t run it, and in any case I want to avoid using the mysterious latest tag.
How am I supposed to deploy new images to ECS?
You should be able to deploy your image using a new task definition every time you deploy.
The task definition lets you set the image version using the attribute "image"
"image":"my-acct-number.dkr.ecr.us-east-1.amazonaws.com/my-image-name:my-tag-v1"
In case you want to use only one task definition, you will have to build you image and tag it with whatever is defined in the the definition.