I made ecs fargate with container.
My procedure is like this
codecommit -> codepipeline(codebuild) -> ecs repository.
fargate uses the ecs repository
When I push code to codecommit, codepipeline works and ecs repository is updated.
However container in fargate is not updated.
I stop the tasks manually, the tasks restart, but container itself is not updated.
What should I do for this?
I need to make codepipelline(again???) ecs repository to fargate.
You need to update a task definition so your container can start using the updated image.
And then you need to stop old task and start new task.
Or, if this is an ECS Service, you need to update the service to use the updated task definition.
Related
I have a requirement where i have to create a Fargate task that can clone a gitab repository(source code) and run a maven build command to build the code.
And there would be another fargate task that would create a docker image out of it.
Gitlab is on an EC2 instance.
Since we do not have exec access into the containers on Fargate, how and what would be the best way to do this. (I have multiple repos on Gitlab and so the repo that i want to clone and build is not going be the same every time)
I have been reading about the Amazon Elastic Container Service (ECS) / Fargate plugin on Jenkins.But i'm not sure if Jenkins can be used to get into a Fargate container and run commands.
nowadays you can use ECS exec. Here's how to set it up: https://aws.amazon.com/blogs/containers/new-using-amazon-ecs-exec-access-your-containers-fargate-ec2/
or in short:
https://www.ernestchiang.com/en/posts/2021/using-amazon-ecs-exec/
Task revisions are creating for ECS Fargate service, even i am not changing any task definitions.
Used AWS Pipeline for CI/CD. (AWS CodePipeline + ECS Fargate Service)
CI/CD working perfectly, but when new deployment occurs everytime it creates new task defintion.
Unfortunately, it is not possible to prevent CodePipeline's ECS job worker from creating a new task definition revision every time it is run as this behaviour is by design.
I am trying to migrate a set of microservices from Docker Swarm, to AWS ECS using Fargate.
I have created an ECS cluster. Moreover, I have initialized repositories using the ECR, each of which contains an image of a microservice.
I have successfully came up with a way to create new images, and push them into the ECR. In fact, with each change in the code, a new docker image is built, tagged, and pushed.
Moreover, I have created a task definition that is linked to a service. This task definition contains one container, and all the necessary information. Moreover, its service defines that the task will run in a VPC, and is linked to a load balancer, and has a target group. I am assuming that every new deployment uses the image with the "latest" tag.
So far with what I have explained, everything is clear and is working well.
Below is the part that is confusing me. After every new build, I would like to update the service in order for new tasks with the update image get deployed. I am using the cli to do so with the following command:
aws ecs update-service --cluster <cluster-name> --service <service-name>
Typically, after performing the command, I am monitoring the deployment logs, under the event tab, and checking the state of the service using the following command:
aws ecs describe-services --cluster <cluster-name> --service <service-name>
Finally, I tried to simulate a case where the newly created image contains a bad code. Thus, the new tasks will not be able to get deployed. What I have witnessed is that Fargate will keep trying (without stopping) to deploy the new tasks. Moreover, aside the event logs, the describe-services command does not contain relevant information, other than what Fargate is doing (e.g., registering/deregistering tasks). I am surprised that I could not find any mechanism that instructs Fargate, or the service to stop the deployment and rollback to the already existing one.
I found this article (https://aws.amazon.com/blogs/compute/automating-rollback-of-failed-amazon-ecs-deployments/ ), which provides a solution. However, it is a fairly complicated one, and assumes that each new deployment is triggered by a new task definition, which is not what I want.
Therefore, considering what I have described above, I hope you can answer the following questions:
1) Using CLI commands (For automation purposes) Is there a way to instruct Fargate to automatically stop the current deployment, after failing to deploy new tasks after a few tries?
2) Using the CLI commands, is there a way to monitor the current status of the deployment? For instance, when performing a service update on a service on Docker swarm, the terminal generates live logs on the update process
3) After a failed deployment, is there a way for Fargate to signal an error code, or flag, or message?
At the moment, ECS does not offer deployment status directly. Once you issue a deployment, there is no way to determine its status other than to continually poll for updates until you have enough information to infer from them. Plus unexpected container exits are not logged anywhere. You have to search through failed tasks. The way I get them is by cloudwatch rule that triggers a lambda upon task state change.
I recommend you read: https://medium.com/#aaron.kaz.music/monitoring-the-health-of-ecs-service-deployments-baeea41ae737
As of now, you have a way to do this:
aws ecs wait services-stable --cluster MyCluster --services MyService
The previous example pauses and continues only after it can confirm that the service running on the cluster is stable. Will return 255 exit code after 40 failed checks.
To cancel a deployment, enable ECS Circuit Breaker when creating your service:
aws ecs create-service \
--service-name MyService \
--deployment-configuration "deploymentCircuitBreaker={enable=true,rollback=true}" \
{...}
References:
Service deployment check.
Circuit Breaker
I'm fairly new to AWS ECS and am unsure if you are supposed to commit into version control some things that AWS already hosts for you. Specifically, should task-definitions created on AWS be committed to GitHub? Or do we just use AWS ECS/ECR as the version control FOR ECS Task definitions?
First ECS/ECR not used for version control like GithHub.
ECS is container management service where ECR is nothing but docker registry on AWS.
Task definition used to run docker container in ECS.You can create task definition on or after creating ECS cluster.You can create/modify task definition in many ways like console,aws cli, aws cloud formation,terraform etc. It depends on how you want to do this and how frequently you change task definition. yes, you can keep your task definition GitHub and create automated job to execute every time from there but there is no need to store task definition anywhere once your task running.
ECR is Elastic container registry which is used to store the container images.
ECS Task definition A task definition is required to run Docker containers in Amazon ECS. Some of the parameters you can specify in a task definition & include: The Docker images to use with the containers in your & task.
You have to provide your ECR URI while creating task definition or it will look for the default docker hub registry for the container image.
Also, You can keep your task definition json on any version control system if you want to use them lateron.
I have some misunderstanding. I have Jenkins instance, ESC cluster and docker-compose config file to compose my images and link up containers.
After git push my Jenkins instance grabs all sources from all repos (webapp, api, lb) and makes a batch of operations like build, copy files and etc.
After that I have all folders with Dockerfiles in state "ready for compose".
And in this stage I cant get how I should ping my ESC cluster on AWS to grab all images from Jenkins and compose them with my docker-compose.yml config.
I would be glad of any useful information.
Thanks.
First, you need to push your images from the Jenkins server into ECR. Push every image individually to an independent repo.
Next, you have to create an ECS cluster. In this cluster, you create an ECS service that runs in the cluster. For this Service, you create and configure a Task Definition to run your linked containers. You don't need to use docker-compose for this: in ECS you define the links between containers in the configuration of the Task Definition. You can add several container definitions to the same Task Definition, and ECS will link them together.
You can automate all of this from your Jenkins server by attaching an Instance Profile to it that allows it to call the ECS API. In order to deploy new images, all you need to do is pushing them to their ECR repos, and create a new Task Definition pointing to them, and update the service that runs these task definitions. ECS will automatically trigger a blue-green deployment on your behalf.