Merge pull request #11551 from a-robinson/docs

Improve syntax highlighting for design and devel docs
This commit is contained in:
Brian Grant 2015-07-19 08:45:54 -07:00
commit 43bfff4f73
9 changed files with 39 additions and 48 deletions

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@ -128,7 +128,7 @@ The server is updated to be aware of **LimitRange** objects.
The constraints are only enforced if the kube-apiserver is started as follows:
```
```console
$ kube-apiserver -admission_control=LimitRanger
```
@ -140,7 +140,7 @@ kubectl is modified to support the **LimitRange** resource.
For example,
```shell
```console
$ kubectl namespace myspace
$ kubectl create -f docs/user-guide/limitrange/limits.yaml
$ kubectl get limits

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@ -140,7 +140,7 @@ The server is updated to be aware of **ResourceQuota** objects.
The quota is only enforced if the kube-apiserver is started as follows:
```
```console
$ kube-apiserver -admission_control=ResourceQuota
```
@ -167,7 +167,7 @@ kubectl is modified to support the **ResourceQuota** resource.
For example,
```
```console
$ kubectl namespace myspace
$ kubectl create -f docs/user-guide/resourcequota/quota.yaml
$ kubectl get quota

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@ -34,7 +34,7 @@ This directory contains diagrams for the clustering design doc.
This depends on the `seqdiag` [utility](http://blockdiag.com/en/seqdiag/index.html). Assuming you have a non-borked python install, this should be installable with
```bash
```sh
pip install seqdiag
```
@ -44,7 +44,7 @@ Just call `make` to regenerate the diagrams.
If you are on a Mac or your pip install is messed up, you can easily build with docker.
```
```sh
make docker
```

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@ -90,7 +90,7 @@ Each binary that generates events:
Sample kubectl output
```
```console
FIRSTSEEN LASTSEEN COUNT NAME KIND SUBOBJECT REASON SOURCE MESSAGE
Thu, 12 Feb 2015 01:13:02 +0000 Thu, 12 Feb 2015 01:13:02 +0000 1 kubernetes-minion-4.c.saad-dev-vms.internal Minion starting {kubelet kubernetes-minion-4.c.saad-dev-vms.internal} Starting kubelet.
Thu, 12 Feb 2015 01:13:09 +0000 Thu, 12 Feb 2015 01:13:09 +0000 1 kubernetes-minion-1.c.saad-dev-vms.internal Minion starting {kubelet kubernetes-minion-1.c.saad-dev-vms.internal} Starting kubelet.

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@ -74,7 +74,7 @@ The Namespace provides a unique scope for:
A *Namespace* defines a logically named group for multiple *Kind*s of resources.
```
```go
type Namespace struct {
TypeMeta `json:",inline"`
ObjectMeta `json:"metadata,omitempty"`
@ -125,7 +125,7 @@ See [Admission control: Resource Quota](admission_control_resource_quota.md)
Upon creation of a *Namespace*, the creator may provide a list of *Finalizer* objects.
```
```go
type FinalizerName string
// These are internal finalizers to Kubernetes, must be qualified name unless defined here
@ -154,7 +154,7 @@ set by default.
A *Namespace* may exist in the following phases.
```
```go
type NamespacePhase string
const(
NamespaceActive NamespacePhase = "Active"
@ -262,7 +262,7 @@ to take part in Namespace termination.
OpenShift creates a Namespace in Kubernetes
```
```json
{
"apiVersion":"v1",
"kind": "Namespace",
@ -287,7 +287,7 @@ own storage associated with the "development" namespace unknown to Kubernetes.
User deletes the Namespace in Kubernetes, and Namespace now has following state:
```
```json
{
"apiVersion":"v1",
"kind": "Namespace",
@ -312,7 +312,7 @@ and begins to terminate all of the content in the namespace that it knows about.
success, it executes a *finalize* action that modifies the *Namespace* by
removing *kubernetes* from the list of finalizers:
```
```json
{
"apiVersion":"v1",
"kind": "Namespace",
@ -340,7 +340,7 @@ from the list of finalizers.
This results in the following state:
```
```json
{
"apiVersion":"v1",
"kind": "Namespace",

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@ -131,7 +131,7 @@ differentiate it from `docker0`) is set up outside of Docker proper.
Example of GCE's advanced routing rules:
```
```sh
gcloud compute routes add "${MINION_NAMES[$i]}" \
--project "${PROJECT}" \
--destination-range "${MINION_IP_RANGES[$i]}" \

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@ -127,7 +127,7 @@ Events that communicate the state of a mounted volume are left to the volume plu
An administrator provisions storage by posting PVs to the API. Various way to automate this task can be scripted. Dynamic provisioning is a future feature that can maintain levels of PVs.
```
```yaml
POST:
kind: PersistentVolume
@ -140,15 +140,13 @@ spec:
persistentDisk:
pdName: "abc123"
fsType: "ext4"
```
--------------------------------------------------
kubectl get pv
```console
$ kubectl get pv
NAME LABELS CAPACITY ACCESSMODES STATUS CLAIM REASON
pv0001 map[] 10737418240 RWO Pending
```
#### Users request storage
@ -157,9 +155,9 @@ A user requests storage by posting a PVC to the API. Their request contains the
The user must be within a namespace to create PVCs.
```
```yaml
POST:
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
@ -170,15 +168,13 @@ spec:
resources:
requests:
storage: 3
```
--------------------------------------------------
kubectl get pvc
```console
$ kubectl get pvc
NAME LABELS STATUS VOLUME
myclaim-1 map[] pending
```
@ -186,9 +182,8 @@ myclaim-1 map[] pending
The ```PersistentVolumeClaimBinder``` attempts to find an available volume that most closely matches the user's request. If one exists, they are bound by putting a reference on the PV to the PVC. Requests can go unfulfilled if a suitable match is not found.
```
kubectl get pv
```console
$ kubectl get pv
NAME LABELS CAPACITY ACCESSMODES STATUS CLAIM REASON
pv0001 map[] 10737418240 RWO Bound myclaim-1 / f4b3d283-c0ef-11e4-8be4-80e6500a981e
@ -198,8 +193,6 @@ kubectl get pvc
NAME LABELS STATUS VOLUME
myclaim-1 map[] Bound b16e91d6-c0ef-11e4-8be4-80e6500a981e
```
#### Claim usage
@ -208,7 +201,7 @@ The claim holder can use their claim as a volume. The ```PersistentVolumeClaimV
The claim holder owns the claim and its data for as long as the claim exists. The pod using the claim can be deleted, but the claim remains in the user's namespace. It can be used again and again by many pods.
```
```yaml
POST:
kind: Pod
@ -229,17 +222,14 @@ spec:
accessMode: ReadWriteOnce
claimRef:
name: myclaim-1
```
#### Releasing a claim and Recycling a volume
When a claim holder is finished with their data, they can delete their claim.
```
kubectl delete pvc myclaim-1
```console
$ kubectl delete pvc myclaim-1
```
The ```PersistentVolumeClaimBinder``` will reconcile this by removing the claim reference from the PV and change the PVs status to 'Released'.

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@ -89,7 +89,7 @@ Both users and a number of system components, such as schedulers, (horizontal) a
Resource requirements for a container or pod should have the following form:
```
```yaml
resourceRequirementSpec: [
request: [ cpu: 2.5, memory: "40Mi" ],
limit: [ cpu: 4.0, memory: "99Mi" ],
@ -103,7 +103,7 @@ Where:
Total capacity for a node should have a similar structure:
```
```yaml
resourceCapacitySpec: [
total: [ cpu: 12, memory: "128Gi" ]
]
@ -159,15 +159,16 @@ rather than decimal ones: "64MiB" rather than "64MB".
A resource type may have an associated read-only ResourceType structure, that contains metadata about the type. For example:
```
```yaml
resourceTypes: [
"kubernetes.io/memory": [
isCompressible: false, ...
]
"kubernetes.io/cpu": [
isCompressible: true, internalScaleExponent: 3, ...
isCompressible: true,
internalScaleExponent: 3, ...
]
"kubernetes.io/disk-space": [ ... }
"kubernetes.io/disk-space": [ ... ]
]
```
@ -195,7 +196,7 @@ Because resource usage and related metrics change continuously, need to be track
Singleton values for observed and predicted future usage will rapidly prove inadequate, so we will support the following structure for extended usage information:
```
```yaml
resourceStatus: [
usage: [ cpu: <CPU-info>, memory: <memory-info> ],
maxusage: [ cpu: <CPU-info>, memory: <memory-info> ],
@ -205,7 +206,7 @@ resourceStatus: [
where a `<CPU-info>` or `<memory-info>` structure looks like this:
```
```yaml
{
mean: <value> # arithmetic mean
max: <value> # minimum value
@ -218,7 +219,7 @@ where a `<CPU-info>` or `<memory-info>` structure looks like this:
"99.9": <99.9th-percentile-value>,
...
]
}
}
```
All parts of this structure are optional, although we strongly encourage including quantities for 50, 90, 95, 99, 99.5, and 99.9 percentiles. _[In practice, it will be important to include additional info such as the length of the time window over which the averages are calculated, the confidence level, and information-quality metrics such as the number of dropped or discarded data points.]_

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@ -62,7 +62,7 @@ To facilitate recovery in the case of a crash of the updating process itself, we
Recovery is achieved by issuing the same command again:
```
```sh
kubectl rolling-update foo [foo-v2] --image=myimage:v2
```