If you skip the TAG and DIGEST command parameters, Docker will run the container based on the image tagged latest. The command takes the image name, with the optional TAG or DIGEST. The syntax of the docker run command is as follows: $ docker run As you may be aware, every single docker run command creates a new container and executes a command specified in the Dockerfile, CMD, or ENTRYPOINT. The running container will have its own file system, networking stack, and isolated process tree separate from the host. To spin-up a container from an image, you need to use the docker run command. If you are a more “video person”, you may want to check this video, which covers the same topics of this article. Note: For example, if your tasks are using the awslogs log driver, check your Amazon CloudWatch Logs for issues.In this guest tutorial by Jaroslaw Krochmalski, the author of “ Docker and Kubernetes for Java Developers”, you’ll learn how to run and stop Docker containers manually from the shell or the command line.īefore getting started, you may want to check my book “ 5 Steps to an extraordinary career“, which will guide you to build your dream career as a software developer! Click here to check it out. Check the application logs based on the log driver set by logConfiguration.Verify that the Docker daemon and Amazon ECS container agent are running for either your Amazon Linux 1 AMIs or Amazon Linux 2 AMIs.If you don't see the ECS_CONTAINER_STOP_TIMEOUT parameter in the output after running the command in step 2, then Amazon ECS is using the default value of 30s. The time duration starts counting when a task is stopped. Note: ECS_CONTAINER_STOP_TIMEOUT is an ECS container agent parameter that defines the amount of time that Amazon ECS waits before ending a container. Check if there is a value for ECS_CONTAINER_STOP_TIMEOUT.Run the docker inspect ecs-agent -format '' command.Connect to your container instance using SSH.On the Details tab, scroll down, and then select the Deregistration delay check box.Ĭonfirm that the ECS_CONTAINER_STOP_TIMEOUT value is set correctly.Choose the Services tab, and then select the service with the stack stuck in RUNNING.If your service is using the Classic Load Balancer, check the connection draining values. Important: The following steps apply only to services using the Application Load Balancer or Network Load Balancer. Note: Service tasks on the container instance that are in the RUNNING state are stopped and replaced according to the service's deployment configuration parameters: minimumHealthyPercent and maximumPercent.Ĭonfirm that the deregistration delay value is set correctly Check the values for minimumHealthyPercent and maximumPercent.Choose the Services tab, select the service, and then choose Deployments.Choose your container instance, and then find out the service for the tasks that are draining or taking a long time to drain.Choose the ECS Instances tab, and then choose DRAINING in the Status section.In the navigation pane, choose Clusters, and then choose the cluster where your container instance is draining.Confirm that the ECS_CONTAINER_STOP_TIMEOUT value is set correctlyĬonfirm that your DeploymentConfiguration parameters are set correctly.Confirm that the deregistration delay value is set correctly.Confirm that your DeploymentConfiguration parameters are set correctly.To troubleshoot these issues, consider the following options: Your tasks can be stuck in the RUNNING state or take a longer time to move to the STOPPED state due to issues with configuration parameters or tasks. Stops tasks on the container instance that are in the RUNNING state.Prevents new tasks from being scheduled for placement on the container instance.When you set an ECS instance to DRAINING, Amazon ECS does the following:
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