小白学 docker「docker-swarm 服务管理 （一）」-腾讯云开发者社区-腾讯云

You can use overlay networks to connect one or more services within the swarm. The following sections provide details about service configuration. In almost every instance where you can
define a configuration at service creation, you can also update an existing
service’s configuration in a similar way. Swarm now allows using a Docker Config as a gMSA credential spec – a requirement for Active Directory-authenticated applications.

Prometheus will only discover tasks and service that expose ports. The first role, nodes, represents the hosts that are part of the Swarm. It
can be used to automatically monitor the Docker daemons or the Node Exporters
who run on the Swarm hosts. Like other Docker projects, Swarm follows the “batteries included but removable”
principle. It ships with a set of simple scheduling backends out of the box, and as
initial development settles, an API will be developed to enable pluggable backends.

Adding a docker_node label to the targets

Once a group of machines that run the Docker application has been clustered together, we call it a “Swarm mode”. So in Swarm mode, we can still execute Docker commands with the only difference that now the machines in the cluster will execute them. Moreover, we have an entity called “Swarm Manager”, a machine that controls the activities of a cluster. Other machines that have joined the cluster are known as “Nodes”. The third one, services, will discover the services deployed in the
swarm.

The swarm manager will update each container instance individually. You can adjust the number of tasks updated in a single operation with the –update-parallelism flag. A task is work to be done, and service is a description of that task or the state. Once a task is assigned to a particular node, we cannot assign it to another node. Additionally, we can have multiple manager nodes in a Swarm cluster, but other manager nodes will elect only one primary manager node. Docker swarm is a container orchestration tool that is used to Docker containers and scale them.

Deploy services to a swarm

However, using relabel_configs is recommended as it
enables Prometheus to reuse the same API calls across identical Docker Swarm
configurations. An individual task update is considered to have failed if the task doesn’t
start up, or if it stops running within the monitoring period specified with
the –update-monitor flag. You can pass the
–update-parallelism flag to configure the maximum number of service tasks
that the scheduler updates simultaneously. The –update-delay flag configures the time delay between updates to a service
task or sets of tasks. You can describe the time T as a combination of the
number of seconds Ts, minutes Tm, or hours Th.

Usually you will want
to use the tasks role instead of this one. For more information on overlay networking and service discovery, refer to
Attach services to an overlay network and
Docker swarm mode overlay network security model. The following example assumes a gMSA and its credential spec (called credspec.json) already exists, and that the nodes being deployed to are correctly configured for the gMSA. Despite the similar name, the two orchestrators mean very different things by
the term ‘service’.

Remove a service

The latest format, defined by the
Compose specification
isn’t compatible with the docker stack deploy command. Here’s how you can use Swarm mode to set up simple distributed workloads across a fleet of machines. You should use Swarm if you want to host scalable applications with redundancy using a standard Docker installation, no other dependencies required.

To prevent this from
happening, ensure that your application runs on hosts with adequate memory and
see
Understand the risks of running out of memory. Service constraints let you set criteria for a node to meet before the scheduler
deploys a service to the node. You can apply constraints to the
service based upon node attributes and metadata or engine metadata. For more
information on constraints, refer to the docker service create
CLI reference. First, create overlay network on a manager node using the docker network create
command with the –driver overlay flag.

Docker Swarm Mode Concepts

Docker was later introduced and it replaced VMs by allowing developers to solve their issues efficiently and effectively. For instructions on using Swarm in your dev, test or production environment, refer to the Docker Swarm documentation on docs.docker.com. You can use templates for some flags of service create, using the syntax
provided by the Go’s
text/templateopen_in_new
package. You can specify the isolation mode when creating or updating a new service using
the –isolation flag. For more information on how publishing ports works, see
publish ports. You’ll need the full Docker CE package on each machine you want to add to the swarm.

These can be applied when creating a service or later with the docker service update command. Worker nodes are responsible for executing tasks that dispatch to them from manager nodes. An agent runs on each worker node and reports to the manager node on its assigned tasks. It helps the manager node to maintain the desired state of each worker node. At a high level, we can view the docker swarm as an orchestration management tool.

Step 1: Update Software Repositories

Depending on the number of replicas set on the service scale, the manager node assigns tasks to worker nodes. Note that once a task gets assigned to a particular node, it cannot move to another node. When an application deploys to a swarm, we submit a service definition to a manager node. The manager node then dispatches units of work or tasks to worker nodes.

• Moreover, we can define a service as a group of containers belonging to the same image to scale the applications.
• Creating a swarm lets you replicate containers across a fleet of physical machines.
• The final stage is to execute the tasks that have been assigned from the manager node to the worker node.
• Bind mounts are file system paths from the host where the scheduler deploys
  the container for the task.
• When you create a service, the image’s tag is resolved to the specific digest
  the tag points to at the time of service creation.

If the service should only run on
nodes with the label being used for the spread preference, the
preference should be combined with a constraint. If no node has the label
you specify in your preference, the service is deployed as though the
preference were not set. For more information on constraints, refer to the docker service create
CLI reference.

Why and When do we use Docker Swarm?

To do this,
Docker Desktop intercepts traffic from the containers and injects it into
the host as if it originated from the Docker application. As seen in the above screenshot, we can verify the running of the MySQL container using the ‘docker ps -a’ command that shows an entry of the above container. Once the container is running now, we go ahead and create Docker Swarm. A single, isolated, and self-contained unit called a “Docker container” is capable of running an application.