![]() In addition to manually stopping and starting a container group with the existing configuration, you can update the settings of a running container group. Learn more about restart policy settings in Azure Container Instances. You can't restart a specific container in the group.Īfter you manually restart a container group, the container group runs according to the configured restart policy. For example, if a temporary resource limitation prevents your containers from running successfully, restarting the group might solve the problem.Īll containers in a container group are restarted by this action. Restarting a container group is helpful when you want to troubleshoot a deployment problem. If the container image for any container is updated, a new image is pulled. This action restarts all containers in the container group. You can restart a container group while it is running - for example, by using the az container restart command. You can't start a specific container in the group.Īfter you manually start or restart a container group, the container group runs according to the configured restart policy. You don't have to create a new container group to run the same workload.Īll containers in a container group are started by this action. This action can help you quickly reuse a known container group configuration that works as you expect. Starting a container group begins a new deployment with the same container configuration. For example, use the az container start command or Azure portal to manually start the containers in the group. When a container group is stopped - either because the containers terminated on their own or you manually stopped the group - you can start the containers. Attempts to stop the group in that state do not change the state. For example, a container group with run-once container tasks that ran successfully terminates in the Succeeded state. The stop action has no effect if the container group already terminated (is in either a Succeeded or Failed state). When the containers are recycled, the resources are deallocated and billing stops for the container group. When a container group enters the Stopped state, it terminates and recycles all the containers in the group. For certain container workloads, you might want to stop a long-running container group after a defined period to save on costs. Manually stop a running container group - for example, by using the az container stop command or Azure portal. What I wrote is only true for running Linux containers and completly ignores Windows containers.If your container group is configured with an IP address, that IP address can change when the container group is restarted. Its true that DfD is very convinient, but I am a strong believer that from development to production the plattform and version should be identical, which is not entirely true with DfD - except if someone is crazy enough to run his/her productive workload with DfD as well. ![]() I personaly rather run docker in a self managed vm then use Docker for Desktop. Though, you can also just terminate the distribution wsl -t $ that runs the docker engine. Open your browser and type the public IP address of first instance and NGINX port. Now lets see if our boring application actually works or not. To see containers in an instance use follow command in that instance. If WSL2 is used, after closing DfD, it might be worth trying to execute wsl shutdown, which stops the “WSL2 VM” and with it all the WSL2 distributions that run in seperate containers. Docker swarm distributed all our containers across all three ec2 instances. Considering that Docker is an orchestrator/glue for Linux kernel modules and tools, it can only be a first class citizen on Linux… Docker for Desktop always runs a Linux VM (or at least a wsl2 container) under the hood and has to wire the hosts docker cli commands to the Linux VM - which kind of feels half-as*ed in some areas.
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