mirror of https://github.com/docker/docs.git
updates per feedback (#4836)
Signed-off-by: Victoria Bialas <victoria.bialas@docker.com>
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@ -185,6 +185,8 @@ REPOSITORY TAG IMAGE ID
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friendlyhello latest 326387cea398
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```
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> **Tip**: You can use the commands `docker images` or the newer `docker image ls` list images. They give you the same output.
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## Run the app
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Run the app, mapping your machine's port 4000 to the container's published port
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@ -239,10 +241,10 @@ CONTAINER ID IMAGE COMMAND CREATED
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You'll see that `CONTAINER ID` matches what's on `http://localhost:4000`.
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Now use `docker stop` to end the process, using the `CONTAINER ID`, like so:
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Now use `docker container stop` to end the process, using the `CONTAINER ID`, like so:
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```shell
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docker stop 1fa4ab2cf395
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docker container stop 1fa4ab2cf395
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```
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## Share your image
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@ -201,12 +201,18 @@ load-balancing; with each request, one of the 5 replicas is chosen, in a
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round-robin fashion, to respond. The container IDs will match your output from
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the previous command (`docker container ls -q`).
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(Windows 10 PowerShell should already have `curl` available, but if not you can
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grab a Linux terminal emulater like [Git
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BASH](https://git-for-windows.github.io/){: target="_blank" class="_"} if you
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want to try it out. It isn't critical to the taskflow here.)
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>**Note**: At this stage, it may take up to 30 seconds for the containers
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to respond to HTTP requests. This is not indicative of Docker or
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swarm performance, but rather an unmet Redis dependency that we will
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address later in the tutorial. For now, the visitor counter isn't working
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for the same reason; we haven't yet added a service to persist data.
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## Scale the app
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You can scale the app by changing the `replicas` value in `docker-compose.yml`,
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@ -343,8 +343,8 @@ And that's it, the app is deployed on a swarm cluster!
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Now you can use the same [docker commands you used in part
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3](/get-started/part3.md#run-your-new-load-balanced-app). Only this time you'll
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see that the containers have been distributed between both `myvm1` and `myvm2`.
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see that the services (and associated containers) have been distributed between
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both `myvm1` and `myvm2`.
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```
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$ docker stack ps getstartedlab
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@ -357,6 +357,8 @@ ghii74p9budx test_web.4 username/repo:tag myvm1 Running
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0prmarhavs87 test_web.5 username/repo:tag myvm2 Running
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```
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You can also run `docker container ls` to view container IDs.
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> Connecting to VMs with `docker-machine env` and `docker-machine ssh`
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>
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> * To set your shell to talk to a different machine like `myvm2`, simply re-run
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