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Merge pull request #759 from KatrinaHoffert/issue-758
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Updates for usability of GKE self managed setup script
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k8s-ci-robot committed Jun 4, 2019
2 parents 2b3ef46 + 147a374 commit 688894c
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1 change: 1 addition & 0 deletions .gitignore
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Expand Up @@ -36,3 +36,4 @@ bin/
.*-dockerfile
.*-push
bin/
docs/deploy/resources/*.gen
56 changes: 35 additions & 21 deletions docs/deploy/gke/README.md
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Expand Up @@ -30,9 +30,6 @@ permission to do basically anything so all commands the script runs should
theoretically work. If not, the script will do its best to fail gracefully
and let you know what might have went wrong.

The second step is to make sure you populate the [gce.conf](../resources/gce.conf) file. The instructions
for populating the file are in the file itself. You just have to fill it in.

# Important Details

Most likely, you want to know what this script is doing to your cluster in order
Expand All @@ -41,11 +38,9 @@ can go ahead and skip this section.

Here is a brief summary of each major thing we do and why:

1. Turn off GLBC and turn on new GLBC in the cluster
* To be brief, the maintenance cost of running a new controller on the master
is actually pretty high. This is why we chose to move the controller
to the cluster.
1. Create a new k8s RBAC role
1. (If applicable) figure out information you didn't provide from the cluster and
build and push the GLBC image.
2. Create a new k8s RBAC role
* On the master, the GLBC has unauthenticated access to the k8s API server.
Once we move the GLBC to the cluster, that path is gone. Therefore, we need to
configure a new RBAC role that allows GLBC the same access.
Expand All @@ -54,10 +49,13 @@ Here is a brief summary of each major thing we do and why:
token pulled from a private GKE endpoint. Moving to the cluster will result in
us not being able to utilize this. Therefore, we need to create a new GCP
service account and a corresponding key which will grant access.
4. Start new GLBC (and default backend) in the cluster
* As stated before, we need to run the GLBC in the cluster. We also need to
startup a new default backend because the mechanism we use to turn off the
master GLBC removes both the GLBC and the default backend.
4. Update the cluster to turn off the default GLBC
* This restarts the cluster master. The API server will be temporarily unavailable.
5. Create our own default backend and custom GLBC on the cluster
* We need to startup a new default backend because the mechanism we
use to turn off the master GLBC removes both the GLBC and the default backend.
* This is dependent on the default GLBC being running initially, as we use
the same nodeport.
* Because we have to recreate the default backend, there will be a small
segment of time when requests to the default backend will time out.

Expand All @@ -71,30 +69,46 @@ Here is an explanation of each script dependency.
1. [gce.conf](../resources/gce.conf)
* This file normally sits on the GKE master and provides important config for
the GCP Compute API client within the GLBC. The GLBC is configured to know
where to look for this file. In this case, we simply mount the file as a
volume and tell GLBC to look for it there.
where to look for this file. In this case, we simply mount a customized copy
of the file as a volume and tell GLBC to look for it there.
2. [default-http-backend.yaml](../resources/default-http-backend.yaml)
* This file contains the specifications for both the default-http-backend
deployment and service. This is no different than what you are used to
seeing in your cluster. In this case, we need to recreate the default
backend since turning off the GLBC on the master removes it.
backend since turning off the GLBC on the master removes it. Note that we
modify the file to use the same node port as before before we create the resource.
3. [rbac.yaml](../resources/rbac.yaml)
* This file contains specification for an RBAC role which gives the GLBC
access to the resources it needs from the k8s API server.
4. [glbc.yaml](../resources/glbc.yaml)
* This file contains the specification for the GLBC deployment. Notice that in
this case, we need a deployment because we want to preserve the controller
in case of node restarts.
in case of node restarts. The resource we create is from a customized copy of
this file that uses the specified (or newly built) image.

Take a look at the script to understand where each file is used.

# Running the Script

Run the command below to see the usage:

`./gke-self-managed.sh --help`

After that, it should be self-explanatory!
The script can take in a number of settings, but only really requires the cluster
name and zone. You can provide other settings for if we incorrectly deduce any
values. Usage:

```shell
# Must be in the script directory
cd docs/deploy/gke
./gke-self-managed.sh -n CLUSTER_NAME -z ZONE
```

For other options, see the `--help` output.

Can speed things up if you've already pushed an image (or want to use a specific
version) with `--image-url PATH` (eg,
`--image-url k8s.gcr.io/ingress-gce-glbc-amd64:v1.5.2`). Can also set the `REGISTRY`
env var to provide a custom place to push your image to if it's not the same project
as your cluster is in. The tags pushed to will be that of the
`git describe --tags --always --dirty` command. If the `VERSION` env var is set, that
will be used as the tag.

# Common Issues

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