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Update services.md (#4457)
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@ -33,15 +33,15 @@ Each of the three instances of the listener is a task in the swarm.
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A container is an isolated process. In the swarm mode model, each task invokes
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A container is an isolated process. In the swarm mode model, each task invokes
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exactly one container. A task is analogous to a “slot” where the scheduler
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exactly one container. A task is analogous to a “slot” where the scheduler
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places a container. Once the container is live, the scheduler recognizes that
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places a container. Once the container is live, the scheduler recognizes that
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the task is in a running state. If the container fails health checks or
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the task is in a running state. If the container fails health checks or
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terminates, the task terminates.
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terminates, the task terminates.
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## Tasks and scheduling
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## Tasks and scheduling
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A task is the atomic unit of scheduling within a swarm. When you declare a
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A task is the atomic unit of scheduling within a swarm. When you declare a
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desired service state by creating or updating a service, the orchestrator
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desired service state by creating or updating a service, the orchestrator
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realizes the desired state by scheduling tasks. For instance, you define a
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realizes the desired state by scheduling tasks. For instance, you define a
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service that instructs the orchestrator to keep three instances of an HTTP
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service that instructs the orchestrator to keep three instances of an HTTP
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@ -52,14 +52,14 @@ fails its health check or crashes, the orchestrator creates a new replica task
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that spawns a new container.
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that spawns a new container.
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A task is a one-directional mechanism. It progresses monotonically through a
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A task is a one-directional mechanism. It progresses monotonically through a
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series of states: assigned, prepared, running, etc. If the task fails the
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series of states: assigned, prepared, running, etc. If the task fails the
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orchestrator removes the task and its container and then creates a new task to
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orchestrator removes the task and its container and then creates a new task to
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replace it according to the desired state specified by the service.
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replace it according to the desired state specified by the service.
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The underlying logic of Docker swarm mode is a general purpose scheduler and
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The underlying logic of Docker swarm mode is a general purpose scheduler and
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orchestrator. The service and task abstractions themselves are unaware of the
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orchestrator. The service and task abstractions themselves are unaware of the
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containers they implement. Hypothetically, you could implement other types of
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containers they implement. Hypothetically, you could implement other types of
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tasks such as virtual machine tasks or non-containerized process tasks. The
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tasks such as virtual machine tasks or non-containerized process tasks. The
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scheduler and orchestrator are agnostic about the type of task. However, the
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scheduler and orchestrator are agnostic about the type of task. However, the
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current version of Docker only supports container tasks.
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current version of Docker only supports container tasks.
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@ -74,7 +74,7 @@ A service may be configured in such a way that no node currently in the
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swarm can run its tasks. In this case, the service remains in state `pending`.
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swarm can run its tasks. In this case, the service remains in state `pending`.
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Here are a few examples of when a service might remain in state `pending`.
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Here are a few examples of when a service might remain in state `pending`.
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**Note**: If your only intention is to prevent a service from
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> **Note**: If your only intention is to prevent a service from
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being deployed, scale the service to 0 instead of trying to configure it in
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being deployed, scale the service to 0 instead of trying to configure it in
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such a way that it will remain in `pending`.
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such a way that it will remain in `pending`.
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@ -118,7 +118,7 @@ in gray.
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## Learn More
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## Learn more
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* Read about how swarm mode [nodes](nodes.md) work.
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* Read about how swarm mode [nodes](nodes.md) work.
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* Learn how [PKI](pki.md) works in swarm mode.
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* Learn how [PKI](pki.md) works in swarm mode.
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