What is the process of rolling updates in Docker Swarm?
In Docker Swarm, rolling updates refer to the strategy used to update a service by gradually replacing running containers with new ones to minimize downtime and maintain application availability. The rolling update process involves the following steps:
Create a New Service Version:
- Create a new version of your Docker service with the desired changes, such as updated application code or configuration. This could involve building a new Docker image or updating the service definition.
Update Service with New Version:
Use the
docker service update
command to apply the changes to the service. For example:docker service update --image <new-image> <service-name>
This command updates the service to use the new image.
Rolling Update Begins:
- Docker Swarm initiates the rolling update process, starting with a small number of tasks (containers) from the new version while maintaining the existing tasks from the old version.
Monitor and Verify:
- Monitor the update progress using commands like
docker service ps <service-name>
to view the state of tasks. Verify that the new tasks are running and healthy.
- Monitor the update progress using commands like
Incremental Replacement:
- Docker Swarm continues to replace containers incrementally, ensuring that the service remains available. The number of containers replaced at a time can be controlled through the
--update-parallelism
and--update-delay
options.
- Docker Swarm continues to replace containers incrementally, ensuring that the service remains available. The number of containers replaced at a time can be controlled through the
Completion and Cleanup:
- The rolling update completes when all tasks have been replaced with the new version. The old containers are gradually decommissioned.
By using a rolling update strategy, Docker Swarm helps maintain service availability during updates. It avoids abrupt service interruptions by systematically replacing containers in a controlled manner. This is particularly important in production environments where minimizing downtime is a critical consideration.