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examples/downward-api/README.md
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<!-- BEGIN MUNGE: UNVERSIONED_WARNING -->
<!-- BEGIN STRIP_FOR_RELEASE -->
<h1>*** PLEASE NOTE: This document applies to the HEAD of the source
tree only. If you are using a released version of Kubernetes, you almost
certainly want the docs that go with that version.</h1>
<strong>Documentation for specific releases can be found at
[releases.k8s.io](http://releases.k8s.io).</strong>
<!-- END STRIP_FOR_RELEASE -->
<!-- END MUNGE: UNVERSIONED_WARNING -->
# Downward API example
Following this example, you will create a pod with a containers that consumes the pod's name and
namespace using the [downward API](https://github.com/GoogleCloudPlatform/kubernetes/blob/master/docs/downward_api.md).
## Step Zero: Prerequisites
This example assumes you have a Kubernetes cluster installed and running, and that you have
installed the ```kubectl``` command line tool somewhere in your path. Please see the [getting
started](../../docs/getting-started-guides/) for installation instructions for your platform.
## Step One: Create the pod
Containers consume the downward API using environment variables. The downward API allows
containers to be injected with the name and namespace of the pod the container is in.
Use the [`examples/downward-api/dapi-pod.yaml`](dapi-pod.yaml) file to create a Pod with a container that consumes the
downward API.
```shell
$ kubectl create -f examples/downward-api/dapi-pod.yaml
```
### Examine the logs
This pod runs the `env` command in a container that consumes the downward API. You can grep
through the pod logs to see that the pod was injected with the correct values:
```shell
$ kubectl logs dapi-test-pod | grep POD_
2015-04-30T20:22:18.568024817Z POD_NAME=dapi-test-pod
2015-04-30T20:22:18.568087688Z POD_NAMESPACE=default
```
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examples/downward-api/dapi-pod.yaml
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apiVersion: v1
kind: Pod
metadata:
name: dapi-test-pod
spec:
containers:
- name: test-container
image: gcr.io/google_containers/busybox
command: [ "/bin/sh", "-c", "env" ]
env:
- name: POD_NAME
valueFrom:
fieldRef:
fieldPath: metadata.name
- name: POD_NAMESPACE
valueFrom:
fieldRef:
fieldPath: metadata.namespace
restartPolicy: Never

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<!-- BEGIN MUNGE: UNVERSIONED_WARNING -->
<!-- BEGIN STRIP_FOR_RELEASE -->
<h1>*** PLEASE NOTE: This document applies to the HEAD of the source
tree only. If you are using a released version of Kubernetes, you almost
certainly want the docs that go with that version.</h1>
<strong>Documentation for specific releases can be found at
[releases.k8s.io](http://releases.k8s.io).</strong>
<!-- END STRIP_FOR_RELEASE -->
<!-- END MUNGE: UNVERSIONED_WARNING -->
Environment Guide Example
=========================
This example demonstrates running pods, replication controllers, and
services. It shows two types of pods: frontend and backend, with
services on top of both. Accessing the frontend pod will return
environment information about itself, and a backend pod that it has
accessed through the service. The goal is to illuminate the
environment metadata available to running containers inside the
Kubernetes cluster. The documentation for the kubernetes environment
is [here](../../docs/container-environment.md).
![Diagram](diagram.png)
Prerequisites
-------------
This example assumes that you have a Kubernetes cluster installed and
running, and that you have installed the `kubectl` command line tool
somewhere in your path. Please see the [getting
started](../../docs/getting-started-guides/) for installation instructions
for your platform.
Optional: Build your own containers
-----------------------------------
The code for the containers is under
[containers/](containers/)
Get everything running
----------------------
kubectl create -f ./backend-rc.yaml
kubectl create -f ./backend-srv.yaml
kubectl create -f ./show-rc.yaml
kubectl create -f ./show-srv.yaml
Query the service
-----------------
Use `kubectl describe service show-srv` to determine the public IP of
your service.
> Note: If your platform does not support external load balancers,
you'll need to open the proper port and direct traffic to the
internal IP shown for the frontend service with the above command
Run `curl <public ip>:80` to query the service. You should get
something like this back:
```
Pod Name: show-rc-xxu6i
Pod Namespace: default
USER_VAR: important information
Kubenertes environment variables
BACKEND_SRV_SERVICE_HOST = 10.147.252.185
BACKEND_SRV_SERVICE_PORT = 5000
KUBERNETES_RO_SERVICE_HOST = 10.147.240.1
KUBERNETES_RO_SERVICE_PORT = 80
KUBERNETES_SERVICE_HOST = 10.147.240.2
KUBERNETES_SERVICE_PORT = 443
KUBE_DNS_SERVICE_HOST = 10.147.240.10
KUBE_DNS_SERVICE_PORT = 53
Found backend ip: 10.147.252.185 port: 5000
Response from backend
Backend Container
Backend Pod Name: backend-rc-6qiya
Backend Namespace: default
```
First the frontend pod's information is printed. The pod name and
[namespace](../../docs/design/namespaces.md) are retreived from the
[Downward API](../../docs/downward-api.md). Next, `USER_VAR` is the name of
an environment variable set in the [pod
definition](show-rc.yaml). Then, the dynamic kubernetes environment
variables are scanned and printed. These are used to find the backend
service, named `backend-srv`. Finally, the frontend pod queries the
backend service and prints the information returned. Again the backend
pod returns its own pod name and namespace.
Try running the `curl` command a few times, and notice what
changes. Ex: `watch -n 1 curl -s <ip>` Firstly, the frontend service
is directing your request to different frontend pods each time. The
frontend pods are always contacting the backend through the backend
service. This results in a different backend pod servicing each
request as well.
Cleanup
-------
kubectl delete rc,service -l type=show-type
kubectl delete rc,service -l type=backend-type
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examples/environment-guide/backend-rc.yaml
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---
apiVersion: v1
kind: ReplicationController
metadata:
name: backend-rc
labels:
type: backend-type
spec:
replicas: 3
template:
metadata:
labels:
type: backend-type
spec:
containers:
- name: backend-container
image: gcr.io/google-samples/env-backend:1.1
imagePullPolicy: Always
ports:
- containerPort: 5000
protocol: TCP
env:
- name: POD_NAME
valueFrom:
fieldRef:
fieldPath: metadata.name
- name: POD_NAMESPACE
valueFrom:
fieldRef:
fieldPath: metadata.namespace

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examples/environment-guide/backend-srv.yaml
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---
apiVersion: v1
kind: Service
metadata:
name: backend-srv
labels:
type: backend-type
spec:
ports:
- port: 5000
protocol: TCP
selector:
type: backend-type

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<!-- BEGIN MUNGE: UNVERSIONED_WARNING -->
<!-- BEGIN STRIP_FOR_RELEASE -->
<h1>*** PLEASE NOTE: This document applies to the HEAD of the source
tree only. If you are using a released version of Kubernetes, you almost
certainly want the docs that go with that version.</h1>
<strong>Documentation for specific releases can be found at
[releases.k8s.io](http://releases.k8s.io).</strong>
<!-- END STRIP_FOR_RELEASE -->
<!-- END MUNGE: UNVERSIONED_WARNING -->
Building
--------
For each container, the build steps are the same. The examples below
are for the `show` container. Replace `show` with `backend` for the
backend container.
GCR
---
docker build -t gcr.io/<project-name>/show .
gcloud docker push gcr.io/<project-name>/show
Docker Hub
----------
docker build -t <username>/show .
docker push <username>/show
Change Pod Definitions
----------------------
Edit both `show-rc.yaml` and `backend-rc.yaml` and replace the
specified `image:` with the one that you built.
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examples/environment-guide/containers/backend/Dockerfile
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FROM golang:onbuild
EXPOSE 8080

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examples/environment-guide/containers/backend/backend.go
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/*
Copyright 2015 The Kubernetes Authors All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/
package main
import (
"fmt"
"log"
"net/http"
"os"
)
func printInfo(resp http.ResponseWriter, req *http.Request) {
name := os.Getenv("POD_NAME")
namespace := os.Getenv("POD_NAMESPACE")
fmt.Fprintf(resp, "Backend Container\n")
fmt.Fprintf(resp, "Backend Pod Name: %v\n", name)
fmt.Fprintf(resp, "Backend Namespace: %v\n", namespace)
}
func main() {
http.HandleFunc("/", printInfo)
log.Fatal(http.ListenAndServe(":5000", nil))
}

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examples/environment-guide/containers/show/Dockerfile
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FROM golang:onbuild
EXPOSE 8080

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examples/environment-guide/containers/show/show.go
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/*
Copyright 2015 The Kubernetes Authors All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/
package main
import (
"fmt"
"io"
"log"
"net/http"
"os"
"sort"
"strings"
)
func getKubeEnv() (map[string]string, error) {
environS := os.Environ()
environ := make(map[string]string)
for _, val := range environS {
split := strings.Split(val, "=")
if len(split) != 2 {
return environ, fmt.Errorf("Some weird env vars")
}
environ[split[0]] = split[1]
}
for key := range environ {
if !(strings.HasSuffix(key, "_SERVICE_HOST") ||
strings.HasSuffix(key, "_SERVICE_PORT")) {
delete(environ, key)
}
}
return environ, nil
}
func printInfo(resp http.ResponseWriter, req *http.Request) {
kubeVars, err := getKubeEnv()
if err != nil {
http.Error(resp, err.Error(), http.StatusInternalServerError)
return
}
backendHost := os.Getenv("BACKEND_SRV_SERVICE_HOST")
backendPort := os.Getenv("BACKEND_SRV_SERVICE_PORT")
backendRsp, backendErr := http.Get(fmt.Sprintf(
"http://%v:%v/",
backendHost,
backendPort))
if backendErr == nil {
defer backendRsp.Body.Close()
}
name := os.Getenv("POD_NAME")
namespace := os.Getenv("POD_NAMESPACE")
fmt.Fprintf(resp, "Pod Name: %v \n", name)
fmt.Fprintf(resp, "Pod Namespace: %v \n", namespace)
envvar := os.Getenv("USER_VAR")
fmt.Fprintf(resp, "USER_VAR: %v \n", envvar)
fmt.Fprintf(resp, "\nKubenertes environment variables\n")
var keys []string
for key := range kubeVars {
keys = append(keys, key)
}
sort.Strings(keys)
for _, key := range keys {
fmt.Fprintf(resp, "%v = %v \n", key, kubeVars[key])
}
fmt.Fprintf(resp, "\nFound backend ip: %v port: %v\n", backendHost, backendPort)
if backendErr == nil {
fmt.Fprintf(resp, "Response from backend\n")
io.Copy(resp, backendRsp.Body)
} else {
fmt.Fprintf(resp, "Error from backend: %v", backendErr.Error())
}
}
func main() {
http.HandleFunc("/", printInfo)
log.Fatal(http.ListenAndServe(":8080", nil))
}

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---
apiVersion: v1
kind: ReplicationController
metadata:
name: show-rc
labels:
type: show-type
spec:
replicas: 3
template:
metadata:
labels:
type: show-type
spec:
containers:
- name: show-container
image: gcr.io/google-samples/env-show:1.1
imagePullPolicy: Always
ports:
- containerPort: 8080
protocol: TCP
env:
- name: USER_VAR
value: important information
- name: POD_NAME
valueFrom:
fieldRef:
fieldPath: metadata.name
- name: POD_NAMESPACE
valueFrom:
fieldRef:
fieldPath: metadata.namespace

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examples/environment-guide/show-srv.yaml
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---
apiVersion: v1
kind: Service
metadata:
name: show-srv
labels:
type: show-type
spec:
type: LoadBalancer
ports:
- port: 80
protocol: TCP
targetPort: 8080
selector:
type: show-type

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examples/limitrange/README.md
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@@ -1,182 +0,0 @@
<!-- BEGIN MUNGE: UNVERSIONED_WARNING -->
<!-- BEGIN STRIP_FOR_RELEASE -->
<h1>*** PLEASE NOTE: This document applies to the HEAD of the source
tree only. If you are using a released version of Kubernetes, you almost
certainly want the docs that go with that version.</h1>
<strong>Documentation for specific releases can be found at
[releases.k8s.io](http://releases.k8s.io).</strong>
<!-- END STRIP_FOR_RELEASE -->
<!-- END MUNGE: UNVERSIONED_WARNING -->
Limit Range
========================================
By default, pods run with unbounded CPU and memory limits. This means that any pod in the
system will be able to consume as much CPU and memory on the node that executes the pod.
Users may want to impose restrictions on the amount of resource a single pod in the system may consume
for a variety of reasons.
For example:
1. Each node in the cluster has 2GB of memory. The cluster operator does not want to accept pods
that require more than 2GB of memory since no node in the cluster can support the requirement. To prevent a
pod from being permanently unscheduled to a node, the operator instead chooses to reject pods that exceed 2GB
of memory as part of admission control.
2. A cluster is shared by two communities in an organization that runs production and development workloads
respectively. Production workloads may consume up to 8GB of memory, but development workloads may consume up
to 512MB of memory. The cluster operator creates a separate namespace for each workload, and applies limits to
each namespace.
3. Users may create a pod which consumes resources just below the capacity of a machine. The left over space
may be too small to be useful, but big enough for the waste to be costly over the entire cluster. As a result,
the cluster operator may want to set limits that a pod must consume at least 20% of the memory and cpu of their
average node size in order to provide for more uniform scheduling and to limit waste.
This example demonstrates how limits can be applied to a Kubernetes namespace to control
min/max resource limits per pod. In addition, this example demonstrates how you can
apply default resource limits to pods in the absence of an end-user specified value.
For a detailed description of the Kubernetes resource model, see [Resources](https://github.com/GoogleCloudPlatform/kubernetes/blob/master/docs/resources.md)
Step 0: Prerequisites
-----------------------------------------
This example requires a running Kubernetes cluster. See the [Getting Started guides](../../docs/getting-started-guides/) for how to get started.
Change to the `<kubernetes>/examples/limitrange` directory if you're not already there.
Step 1: Create a namespace
-----------------------------------------
This example will work in a custom namespace to demonstrate the concepts involved.
Let's create a new namespace called limit-example:
```shell
$ kubectl create -f namespace.yaml
namespaces/limit-example
$ kubectl get namespaces
NAME LABELS STATUS
default <none> Active
limit-example <none> Active
```
Step 2: Apply a limit to the namespace
-----------------------------------------
Let's create a simple limit in our namespace.
```shell
$ kubectl create -f limits.yaml --namespace=limit-example
limitranges/mylimits
```
Let's describe the limits that we have imposed in our namespace.
```shell
$ kubectl describe limits mylimits --namespace=limit-example
Name: mylimits
Type Resource Min Max Default
---- -------- --- --- ---
Pod memory 6Mi 1Gi -
Pod cpu 250m 2 -
Container memory 6Mi 1Gi 100Mi
Container cpu 250m 2 250m
```
In this scenario, we have said the following:
1. The total memory usage of a pod across all of its container must fall between 6Mi and 1Gi.
2. The total cpu usage of a pod across all of its containers must fall between 250m and 2 cores.
3. A container in a pod may consume between 6Mi and 1Gi of memory. If the container does not
specify an explicit resource limit, each container in a pod will get 100Mi of memory.
4. A container in a pod may consume between 250m and 2 cores of cpu. If the container does
not specify an explicit resource limit, each container in a pod will get 250m of cpu.
Step 3: Enforcing limits at point of creation
-----------------------------------------
The limits enumerated in a namespace are only enforced when a pod is created or updated in
the cluster. If you change the limits to a different value range, it does not affect pods that
were previously created in a namespace.
If a resource (cpu or memory) is being restricted by a limit, the user will get an error at time
of creation explaining why.
Let's first spin up a replication controller that creates a single container pod to demonstrate
how default values are applied to each pod.
```shell
$ kubectl run nginx --image=nginx --replicas=1 --namespace=limit-example
CONTROLLER CONTAINER(S) IMAGE(S) SELECTOR REPLICAS
nginx nginx nginx run=nginx 1
$ kubectl get pods --namespace=limit-example
POD IP CONTAINER(S) IMAGE(S) HOST LABELS STATUS CREATED MESSAGE
nginx-ykj4j 10.246.1.3 10.245.1.3/ run=nginx Running About a minute
nginx nginx Running 54 seconds
$ kubectl get pods nginx-ykj4j --namespace=limit-example -o yaml | grep resources -C 5
containers:
- capabilities: {}
image: nginx
imagePullPolicy: IfNotPresent
name: nginx
resources:
limits:
cpu: 250m
memory: 100Mi
terminationMessagePath: /dev/termination-log
volumeMounts:
```
Note that our nginx container has picked up the namespace default cpu and memory resource limits.
Let's create a pod that exceeds our allowed limits by having it have a container that requests 3 cpu cores.
```shell
$ kubectl create -f invalid-pod.yaml --namespace=limit-example
Error from server: Pod "invalid-pod" is forbidden: Maximum CPU usage per pod is 2, but requested 3
```
Let's create a pod that falls within the allowed limit boundaries.
```shell
$ kubectl create -f valid-pod.yaml --namespace=limit-example
pods/valid-pod
$ kubectl get pods valid-pod --namespace=limit-example -o yaml | grep -C 5 resources
containers:
- capabilities: {}
image: gcr.io/google_containers/serve_hostname
imagePullPolicy: IfNotPresent
name: nginx
resources:
limits:
cpu: "1"
memory: 512Mi
securityContext:
capabilities: {}
```
Note that this pod specifies explicit resource limits so it did not pick up the namespace default values.
Step 4: Cleanup
----------------------------
To remove the resources used by this example, you can just delete the limit-example namespace.
```shell
$ kubectl delete namespace limit-example
namespaces/limit-example
$ kubectl get namespaces
NAME LABELS STATUS
default <none> Active
```
Summary
----------------------------
Cluster operators that want to restrict the amount of resources a single container or pod may consume
are able to define allowable ranges per Kubernetes namespace. In the absence of any hard limits,
the Kubernetes system is able to apply default resource limits if desired in order to constrain the
amount of resource a pod consumes on a node.
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apiVersion: v1
kind: Pod
metadata:
name: invalid-pod
spec:
containers:
- name: kubernetes-serve-hostname
image: gcr.io/google_containers/serve_hostname
resources:
limits:
cpu: "3"
memory: 100Mi

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examples/limitrange/limits.yaml
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@@ -1,23 +0,0 @@
apiVersion: v1
kind: LimitRange
metadata:
name: mylimits
spec:
limits:
- max:
cpu: "2"
memory: 1Gi
min:
cpu: 250m
memory: 6Mi
type: Pod
- default:
cpu: 250m
memory: 100Mi
max:
cpu: "2"
memory: 1Gi
min:
cpu: 250m
memory: 6Mi
type: Container

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examples/limitrange/namespace.yaml
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apiVersion: v1
kind: Namespace
metadata:
name: limit-example

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examples/limitrange/valid-pod.yaml
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@@ -1,14 +0,0 @@
apiVersion: v1
kind: Pod
metadata:
name: valid-pod
labels:
name: valid-pod
spec:
containers:
- name: kubernetes-serve-hostname
image: gcr.io/google_containers/serve_hostname
resources:
limits:
cpu: "1"
memory: 512Mi

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<!-- BEGIN MUNGE: UNVERSIONED_WARNING -->
<!-- BEGIN STRIP_FOR_RELEASE -->
<h1>*** PLEASE NOTE: This document applies to the HEAD of the source
tree only. If you are using a released version of Kubernetes, you almost
certainly want the docs that go with that version.</h1>
<strong>Documentation for specific releases can be found at
[releases.k8s.io](http://releases.k8s.io).</strong>
<!-- END STRIP_FOR_RELEASE -->
<!-- END MUNGE: UNVERSIONED_WARNING -->
## Overview
This example shows two types of pod health checks: HTTP checks and container execution checks.
The [exec-liveness.yaml](exec-liveness.yaml) demonstrates the container execution check.
```
livenessProbe:
exec:
command:
- cat
- /tmp/health
initialDelaySeconds: 15
timeoutSeconds: 1
```
Kubelet executes the command cat /tmp/health in the container and reports failure if the command returns a non-zero exit code.
Note that the container removes the /tmp/health file after 10 seconds,
```
echo ok > /tmp/health; sleep 10; rm -rf /tmp/health; sleep 600
```
so when Kubelet executes the health check 15 seconds (defined by initialDelaySeconds) after the container started, the check would fail.
The [http-liveness.yaml](http-liveness.yaml) demonstrates the HTTP check.
```
livenessProbe:
httpGet:
path: /healthz
port: 8080
initialDelaySeconds: 15
timeoutSeconds: 1
```
The Kubelet sends a HTTP request to the specified path and port to perform the health check. If you take a look at image/server.go, you will see the server starts to respond with an error code 500 after 10 seconds, so the check fails.
This [guide](../walkthrough/k8s201.md#health-checking) has more information on health checks.
## Get your hands dirty
To show the health check is actually working, first create the pods:
```
# kubectl create -f exec-liveness.yaml
# kubectl create -f http-liveness.yaml
```
Check the status of the pods once they are created:
```
# kubectl get pods
NAME READY STATUS RESTARTS AGE
[...]
liveness-exec 1/1 Running 0 13s
liveness-http 1/1 Running 0 13s
```
Check the status half a minute later, you will see the container restart count being incremented:
```
# kubectl get pods
mwielgus@mwielgusd:~/test/k2/kubernetes/examples/liveness$ kubectl get pods
NAME READY STATUS RESTARTS AGE
[...]
liveness-exec 1/1 Running 1 36s
liveness-http 1/1 Running 1 36s
```
At the bottom of the *kubectl describe* output there are messages indicating that the liveness probes have failed, and the containers have been killed and recreated.
```
# kubectl describe pods liveness-exec
[...]
Sat, 27 Jun 2015 13:43:03 +0200 Sat, 27 Jun 2015 13:44:34 +0200 4 {kubelet kubernetes-minion-6fbi} spec.containers{liveness} unhealthy Liveness probe failed: cat: can't open '/tmp/health': No such file or directory
Sat, 27 Jun 2015 13:44:44 +0200 Sat, 27 Jun 2015 13:44:44 +0200 1 {kubelet kubernetes-minion-6fbi} spec.containers{liveness} killing Killing with docker id 65b52d62c635
Sat, 27 Jun 2015 13:44:44 +0200 Sat, 27 Jun 2015 13:44:44 +0200 1 {kubelet kubernetes-minion-6fbi} spec.containers{liveness} created Created with docker id ed6bb004ee10
Sat, 27 Jun 2015 13:44:44 +0200 Sat, 27 Jun 2015 13:44:44 +0200 1 {kubelet kubernetes-minion-6fbi} spec.containers{liveness} started Started with docker id ed6bb004ee10
```
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examples/liveness/exec-liveness.yaml
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@@ -1,21 +0,0 @@
apiVersion: v1
kind: Pod
metadata:
labels:
test: liveness
name: liveness-exec
spec:
containers:
- args:
- /bin/sh
- -c
- echo ok > /tmp/health; sleep 10; rm -rf /tmp/health; sleep 600
image: gcr.io/google_containers/busybox
livenessProbe:
exec:
command:
- cat
- /tmp/health
initialDelaySeconds: 15
timeoutSeconds: 1
name: liveness

18
examples/liveness/http-liveness.yaml
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@@ -1,18 +0,0 @@
apiVersion: v1
kind: Pod
metadata:
labels:
test: liveness
name: liveness-http
spec:
containers:
- args:
- /server
image: gcr.io/google_containers/liveness
livenessProbe:
httpGet:
path: /healthz
port: 8080
initialDelaySeconds: 15
timeoutSeconds: 1
name: liveness

4
examples/liveness/image/Dockerfile
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@@ -1,4 +0,0 @@
FROM scratch
ADD server /server

13
examples/liveness/image/Makefile
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@@ -1,13 +0,0 @@
all: push
server: server.go
CGO_ENABLED=0 GOOS=linux go build -a -installsuffix cgo -ldflags '-w' ./server.go
container: server
docker build -t gcr.io/google_containers/liveness .
push: container
gcloud docker push gcr.io/google_containers/liveness
clean:
rm -f server

46
examples/liveness/image/server.go
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@@ -1,46 +0,0 @@
/*
Copyright 2014 The Kubernetes Authors All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/
// A simple server that is alive for 10 seconds, then reports unhealthy for
// the rest of its (hopefully) short existence.
package main
import (
"fmt"
"log"
"net/http"
"time"
)
func main() {
started := time.Now()
http.HandleFunc("/started", func(w http.ResponseWriter, r *http.Request) {
w.WriteHeader(200)
data := (time.Now().Sub(started)).String()
w.Write([]byte(data))
})
http.HandleFunc("/healthz", func(w http.ResponseWriter, r *http.Request) {
duration := time.Now().Sub(started)
if duration.Seconds() > 10 {
w.WriteHeader(500)
w.Write([]byte(fmt.Sprintf("error: %v", duration.Seconds())))
} else {
w.WriteHeader(200)
w.Write([]byte("ok"))
}
})
log.Fatal(http.ListenAndServe(":8080", nil))
}

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examples/logging-demo/Makefile
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@@ -1,26 +0,0 @@
# Makefile for launching synthetic logging sources (any platform)
# and for reporting the forwarding rules for the
# Elasticsearch and Kibana pods for the GCE platform.
# For examples of how to observe the ingested logs please
# see the appropriate getting started guide e.g.
# Google Cloud Logging: https://github.com/GoogleCloudPlatform/kubernetes/blob/master/docs/getting-started-guides/logging.md
# With Elasticsearch and Kibana logging: https://github.com/GoogleCloudPlatform/kubernetes/blob/master/docs/getting-started-guides/logging-elasticsearch.md
.PHONY: up down logger-up logger-down logger10-up logger10-down
up: logger-up logger10-up
down: logger-down logger10-down
logger-up:
kubectl create -f synthetic_0_25lps.yaml
logger-down:
kubectl delete pod synthetic-logger-0.25lps-pod
logger10-up:
kubectl create -f synthetic_10lps.yaml
logger10-down:
kubectl delete pod synthetic-logger-10lps-pod

32
examples/logging-demo/README.md
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@@ -1,32 +0,0 @@
<!-- BEGIN MUNGE: UNVERSIONED_WARNING -->
<!-- BEGIN STRIP_FOR_RELEASE -->
<h1>*** PLEASE NOTE: This document applies to the HEAD of the source
tree only. If you are using a released version of Kubernetes, you almost
certainly want the docs that go with that version.</h1>
<strong>Documentation for specific releases can be found at
[releases.k8s.io](http://releases.k8s.io).</strong>
<!-- END STRIP_FOR_RELEASE -->
<!-- END MUNGE: UNVERSIONED_WARNING -->
# Elasticsearch/Kibana Logging Demonstration
This directory contains two [pod](../../docs/pods.md) specifications which can be used as synthetic
logging sources. The pod specification in [synthetic_0_25lps.yaml](synthetic_0_25lps.yaml)
describes a pod that just emits a log message once every 4 seconds. The pod specification in
[synthetic_10lps.yaml](synthetic_10lps.yaml)
describes a pod that just emits 10 log lines per second.
To observe the ingested log lines when using Google Cloud Logging please see the getting
started instructions
at [Cluster Level Logging to Google Cloud Logging](../../docs/getting-started-guides/logging.md).
To observe the ingested log lines when using Elasticsearch and Kibana please see the getting
started instructions
at [Cluster Level Logging with Elasticsearch and Kibana](../../docs/getting-started-guides/logging-elasticsearch.md).
<!-- BEGIN MUNGE: GENERATED_ANALYTICS -->
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# This pod specification creates an instance of a synthetic logger. The logger
# is simply a program that writes out the hostname of the pod, a count which increments
# by one on each iteration (to help notice missing log enteries) and the date using
# a long format (RFC-3339) to nano-second precision. This program logs at a frequency
# of 0.25 lines per second. The shellscript program is given directly to bash as -c argument
# and could have been written out as:
# i="0"
# while true
# do
# echo -n "`hostname`: $i: "
# date --rfc-3339 ns
# sleep 4
# i=$[$i+1]
# done
apiVersion: v1
kind: Pod
metadata:
labels:
name: synth-logging-source
name: synthetic-logger-0.25lps-pod
spec:
containers:
- name: synth-lgr
image: ubuntu:14.04
args:
- bash
- -c
- 'i="0"; while true; do echo -n "`hostname`: $i: "; date --rfc-3339 ns; sleep
4; i=$[$i+1]; done'

30
examples/logging-demo/synthetic_10lps.yaml
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@@ -1,30 +0,0 @@
# This pod specification creates an instance of a synthetic logger. The logger
# is simply a program that writes out the hostname of the pod, a count which increments
# by one on each iteration (to help notice missing log enteries) and the date using
# a long format (RFC-3339) to nano-second precision. This program logs at a frequency
# of 0.25 lines per second. The shellscript program is given directly to bash as -c argument
# and could have been written out as:
# i="0"
# while true
# do
# echo -n "`hostname`: $i: "
# date --rfc-3339 ns
# sleep 4
# i=$[$i+1]
# done
apiVersion: v1
kind: Pod
metadata:
labels:
name: synth-logging-source
name: synthetic-logger-10lps-pod
spec:
containers:
- name: synth-lgr
image: ubuntu:14.04
args:
- bash
- -c
- 'i="0"; while true; do echo -n "`hostname`: $i: "; date --rfc-3339 ns; sleep
0.1; i=$[$i+1]; done'

49
examples/multi-pod.yaml
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@@ -1,49 +0,0 @@
---
apiVersion: v1
kind: Pod
metadata:
labels:
name: redis
redis-sentinel: "true"
role: master
name: redis-master
spec:
containers:
- name: master
image: kubernetes/redis:v1
env:
- name: MASTER
value: "true"
ports:
- containerPort: 6379
resources:
limits:
cpu: "0.5"
volumeMounts:
- mountPath: /redis-master-data
name: data
- name: sentinel
image: kubernetes/redis:v1
env:
- name: SENTINEL
value: "true"
ports:
- containerPort: 26379
volumes:
- name: data
emptyDir: {}
---
apiVersion: v1
kind: Pod
metadata:
labels:
name: redis-proxy
role: proxy
name: redis-proxy
spec:
containers:
- name: proxy
image: kubernetes/redis-proxy:v1
ports:
- containerPort: 6379
name: api

79
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@@ -1,79 +0,0 @@
<!-- BEGIN MUNGE: UNVERSIONED_WARNING -->
<!-- BEGIN STRIP_FOR_RELEASE -->
<h1>*** PLEASE NOTE: This document applies to the HEAD of the source
tree only. If you are using a released version of Kubernetes, you almost
certainly want the docs that go with that version.</h1>
<strong>Documentation for specific releases can be found at
[releases.k8s.io](http://releases.k8s.io).</strong>
<!-- END STRIP_FOR_RELEASE -->
<!-- END MUNGE: UNVERSIONED_WARNING -->
## Node selection example
This example shows how to assign a pod to a specific node or to one of a set of nodes using node labels and the nodeSelector field in a pod specification. Generally this is unnecessary, as the scheduler will take care of things for you, but you may want to do so in certain circumstances like to ensure that your pod ends up on a machine with an SSD attached to it.
### Step Zero: Prerequisites
This example assumes that you have a basic understanding of kubernetes pods and that you have [turned up a Kubernetes cluster](https://github.com/GoogleCloudPlatform/kubernetes#documentation).
### Step One: Attach label to the node
Run `kubectl get nodes` to get the names of your cluster's nodes. Pick out the one that you want to add a label to.
Then, to add a label to the node you've chosen, run `kubectl label nodes <node-name> <label-key>=<label-value>`. For example, if my node name is 'kubernetes-foo-node-1.c.a-robinson.internal' and my desired label is 'disktype=ssd', then I can run `kubectl label nodes kubernetes-foo-node-1.c.a-robinson.internal disktype=ssd`.
If this fails with an "invalid command" error, you're likely using an older version of kubectl that doesn't have the `label` command. In that case, see the [previous version](https://github.com/GoogleCloudPlatform/kubernetes/blob/a053dbc313572ed60d89dae9821ecab8bfd676dc/examples/node-selection/README.md) of this guide for instructions on how to manually set labels on a node.
Also, note that label keys must be in the form of DNS labels (as described in the [identifiers doc](../../docs/design/identifiers.md)), meaning that they are not allowed to contain any upper-case letters.
You can verify that it worked by re-running `kubectl get nodes` and checking that the node now has a label.
### Step Two: Add a nodeSelector field to your pod configuration
Take whatever pod config file you want to run, and add a nodeSelector section to it, like this. For example, if this is my pod config:
<pre>
apiVersion: v1
kind: Pod
metadata:
name: nginx
labels:
env: test
spec:
containers:
- name: nginx
image: nginx
</pre>
Then add a nodeSelector like so:
<pre>
apiVersion: v1
kind: Pod
metadata:
name: nginx
labels:
env: test
spec:
containers:
- name: nginx
image: nginx
imagePullPolicy: IfNotPresent
<b>nodeSelector:
disktype: ssd</b>
</pre>
When you then run `kubectl create -f pod.yaml`, the pod will get scheduled on the node that you attached the label to! You can verify that it worked by running `kubectl get pods -o wide` and looking at the "NODE" that the pod was assigned to.
### Conclusion
While this example only covered one node, you can attach labels to as many nodes as you want. Then when you schedule a pod with a nodeSelector, it can be scheduled on any of the nodes that satisfy that nodeSelector. Be careful that it will match at least one node, however, because if it doesn't the pod won't be scheduled at all.
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@@ -1,13 +0,0 @@
apiVersion: v1
kind: Pod
metadata:
name: nginx
labels:
env: test
spec:
containers:
- name: nginx
image: nginx
imagePullPolicy: IfNotPresent
nodeSelector:
disktype: ssd

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@@ -1,118 +0,0 @@
<!-- BEGIN MUNGE: UNVERSIONED_WARNING -->
<!-- BEGIN STRIP_FOR_RELEASE -->
<h1>*** PLEASE NOTE: This document applies to the HEAD of the source
tree only. If you are using a released version of Kubernetes, you almost
certainly want the docs that go with that version.</h1>
<strong>Documentation for specific releases can be found at
[releases.k8s.io](http://releases.k8s.io).</strong>
<!-- END STRIP_FOR_RELEASE -->
<!-- END MUNGE: UNVERSIONED_WARNING -->
# How To Use Persistent Volumes
The purpose of this guide is to help you become familiar with Kubernetes Persistent Volumes. By the end of the guide, we'll have
nginx serving content from your persistent volume.
This guide assumes knowledge of Kubernetes fundamentals and that you have a cluster up and running.
## Provisioning
A Persistent Volume (PV) in Kubernetes represents a real piece of underlying storage capacity in the infrastructure. Cluster administrators
must first create storage (create their Google Compute Engine (GCE) disks, export their NFS shares, etc.) in order for Kubernetes to mount it.
PVs are intended for "network volumes" like GCE Persistent Disks, NFS shares, and AWS ElasticBlockStore volumes. ```HostPath``` was included
for ease of development and testing. You'll create a local ```HostPath``` for this example.
> IMPORTANT! For ```HostPath``` to work, you will need to run a single node cluster. Kubernetes does not
support local storage on the host at this time. There is no guarantee your pod ends up on the correct node where the ```HostPath``` resides.
```
// this will be nginx's webroot
$ mkdir /tmp/data01
$ echo 'I love Kubernetes storage!' > /tmp/data01/index.html
```
PVs are created by posting them to the API server.
```
$ kubectl create -f examples/persistent-volumes/volumes/local-01.yaml
NAME LABELS CAPACITY ACCESSMODES STATUS CLAIM REASON
pv0001 type=local 10737418240 RWO Available
```
## Requesting storage
Users of Kubernetes request persistent storage for their pods. They don't know how the underlying cluster is provisioned.
They just know they can rely on their claim to storage and can manage its lifecycle independently from the many pods that may use it.
Claims must be created in the same namespace as the pods that use them.
```
$ kubectl create -f examples/persistent-volumes/claims/claim-01.yaml
$ kubectl get pvc
NAME LABELS STATUS VOLUME
myclaim-1 map[]
# A background process will attempt to match this claim to a volume.
# The eventual state of your claim will look something like this:
$ kubectl get pvc
NAME LABELS STATUS VOLUME
myclaim-1 map[] Bound pv0001
$ kubectl get pv
NAME LABELS CAPACITY ACCESSMODES STATUS CLAIM REASON
pv0001 type=local 10737418240 RWO Bound default/myclaim-1
```
## Using your claim as a volume
Claims are used as volumes in pods. Kubernetes uses the claim to look up its bound PV. The PV is then exposed to the pod.
```
$ kubectl create -f examples/persistent-volumes/simpletest/pod.yaml
$ kubectl get pods
NAME READY STATUS RESTARTS AGE
mypod 1/1 Running 0 1h
$ kubectl create -f examples/persistent-volumes/simpletest/service.json
$ kubectl get services
NAME LABELS SELECTOR IP(S) PORT(S)
frontendservice <none> name=frontendhttp 10.0.0.241 3000/TCP
kubernetes component=apiserver,provider=kubernetes <none> 10.0.0.2 443/TCP
```
## Next steps
You should be able to query your service endpoint and see what content nginx is serving. A "forbidden" error might mean you
need to disable SELinux (setenforce 0).
```
curl 10.0.0.241:3000
I love Kubernetes storage!
```
Hopefully this simple guide is enough to get you started with PersistentVolumes. If you have any questions, join
```#google-containers``` on IRC and ask!
Enjoy!
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10
examples/persistent-volumes/claims/claim-01.yaml
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@@ -1,10 +0,0 @@
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
name: myclaim-1
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 3Gi

10
examples/persistent-volumes/claims/claim-02.yaml
View File

@@ -1,10 +0,0 @@
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
name: myclaim-2
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 8Gi

17
examples/persistent-volumes/claims/claim-03.json
View File

@@ -1,17 +0,0 @@
{
"kind": "PersistentVolumeClaim",
"apiVersion": "v1",
"metadata": {
"name": "myclaim-3"
}, "spec": {
"accessModes": [
"ReadWriteOnce",
"ReadOnlyMany"
],
"resources": {
"requests": {
"storage": "10G"
}
}
}
}

10
examples/persistent-volumes/simpletest/namespace.json
View File

@@ -1,10 +0,0 @@
{
"kind": "Namespace",
"apiVersion":"v1",
"metadata": {
"name": "myns",
"labels": {
"name": "development"
}
}
}

20
examples/persistent-volumes/simpletest/pod.yaml
View File

@@ -1,20 +0,0 @@
kind: Pod
apiVersion: v1
metadata:
name: mypod
labels:
name: frontendhttp
spec:
containers:
- name: myfrontend
image: nginx
ports:
- containerPort: 80
name: "http-server"
volumeMounts:
- mountPath: "/var/www/html"
name: mypd
volumes:
- name: mypd
persistentVolumeClaim:
claimName: myclaim-1

19
examples/persistent-volumes/simpletest/service.json
View File

@@ -1,19 +0,0 @@
{
"kind": "Service",
"apiVersion": "v1",
"metadata": {
"name": "frontendservice"
},
"spec": {
"ports": [
{
"protocol": "TCP",
"port": 3000,
"targetPort": "http-server"
}
],
"selector": {
"name": "frontendhttp"
}
}
}

13
examples/persistent-volumes/volumes/gce.yaml
View File

@@ -1,13 +0,0 @@
kind: PersistentVolume
apiVersion: v1
metadata:
name: pv0003
spec:
capacity:
storage: 10Gi
accessModes:
- ReadWriteOnce
- ReadOnlyMany
gcePersistentDisk:
pdName: "abc123"
fsType: "ext4"

13
examples/persistent-volumes/volumes/local-01.yaml
View File

@@ -1,13 +0,0 @@
kind: PersistentVolume
apiVersion: v1
metadata:
name: pv0001
labels:
type: local
spec:
capacity:
storage: 10Gi
accessModes:
- ReadWriteOnce
hostPath:
path: "/tmp/data01"

14
examples/persistent-volumes/volumes/local-02.yaml
View File

@@ -1,14 +0,0 @@
kind: PersistentVolume
apiVersion: v1
metadata:
name: pv0002
labels:
type: local
spec:
capacity:
storage: 8Gi
accessModes:
- ReadWriteOnce
hostPath:
path: "/tmp/data02"
persistentVolumeReclaimPolicy: Recycle

12
examples/persistent-volumes/volumes/nfs.yaml
View File

@@ -1,12 +0,0 @@
apiVersion: v1
kind: PersistentVolume
metadata:
name: pv0003
spec:
capacity:
storage: 5Gi
accessModes:
- ReadWriteOnce
nfs:
path: /tmp
server: 172.17.0.2

12
examples/pod.yaml
View File

@@ -1,12 +0,0 @@
apiVersion: v1
kind: Pod
metadata:
name: nginx
labels:
name: nginx
spec:
containers:
- name: nginx
image: nginx
ports:
- containerPort: 80

19
examples/replication.yaml
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@@ -1,19 +0,0 @@
apiVersion: v1
kind: ReplicationController
metadata:
name: nginx
spec:
replicas: 3
selector:
app: nginx
template:
metadata:
name: nginx
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx
ports:
- containerPort: 80

171
examples/resourcequota/README.md
View File

@@ -1,171 +0,0 @@
<!-- BEGIN MUNGE: UNVERSIONED_WARNING -->
<!-- BEGIN STRIP_FOR_RELEASE -->
<h1>*** PLEASE NOTE: This document applies to the HEAD of the source
tree only. If you are using a released version of Kubernetes, you almost
certainly want the docs that go with that version.</h1>
<strong>Documentation for specific releases can be found at
[releases.k8s.io](http://releases.k8s.io).</strong>
<!-- END STRIP_FOR_RELEASE -->
<!-- END MUNGE: UNVERSIONED_WARNING -->
Resource Quota
========================================
This example demonstrates how resource quota and limits can be applied to a Kubernetes namespace.
This example assumes you have a functional Kubernetes setup.
Step 1: Create a namespace
-----------------------------------------
This example will work in a custom namespace to demonstrate the concepts involved.
Let's create a new namespace called quota-example:
```shell
$ kubectl create -f namespace.yaml
$ kubectl get namespaces
NAME LABELS STATUS
default <none> Active
quota-example <none> Active
```
Step 2: Apply a quota to the namespace
-----------------------------------------
By default, a pod will run with unbounded CPU and memory limits. This means that any pod in the
system will be able to consume as much CPU and memory on the node that executes the pod.
Users may want to restrict how much of the cluster resources a given namespace may consume
across all of its pods in order to manage cluster usage. To do this, a user applies a quota to
a namespace. A quota lets the user set hard limits on the total amount of node resources (cpu, memory)
and API resources (pods, services, etc.) that a namespace may consume.
Let's create a simple quota in our namespace:
```shell
$ kubectl create -f quota.yaml --namespace=quota-example
```
Once your quota is applied to a namespace, the system will restrict any creation of content
in the namespace until the quota usage has been calculated. This should happen quickly.
You can describe your current quota usage to see what resources are being consumed in your
namespace.
```
$ kubectl describe quota quota --namespace=quota-example
Name: quota
Namespace: quota-example
Resource Used Hard
-------- ---- ----
cpu 0 20
memory 0 1Gi
persistentvolumeclaims 0 10
pods 0 10
replicationcontrollers 0 20
resourcequotas 1 1
secrets 1 10
services 0 5
```
Step 3: Applying default resource limits
-----------------------------------------
Pod authors rarely specify resource limits for their pods.
Since we applied a quota to our project, let's see what happens when an end-user creates a pod that has unbounded
cpu and memory by creating an nginx container.
To demonstrate, lets create a replication controller that runs nginx:
```shell
$ kubectl run nginx --image=nginx --replicas=1 --namespace=quota-example
CONTROLLER CONTAINER(S) IMAGE(S) SELECTOR REPLICAS
nginx nginx nginx run=nginx 1
```
Now let's look at the pods that were created.
```shell
$ kubectl get pods --namespace=quota-example
NAME READY STATUS RESTARTS AGE
```
What happened? I have no pods! Let's describe the replication controller to get a view of what is happening.
```shell
kubectl describe rc nginx --namespace=quota-example
Name: nginx
Image(s): nginx
Selector: run=nginx
Labels: run=nginx
Replicas: 0 current / 1 desired
Pods Status: 0 Running / 0 Waiting / 0 Succeeded / 0 Failed
Events:
FirstSeen LastSeen Count From SubobjectPath Reason Message
Mon, 01 Jun 2015 22:49:31 -0400 Mon, 01 Jun 2015 22:52:22 -0400 7 {replication-controller } failedCreate Error creating: Pod "nginx-" is forbidden: Limited to 1Gi memory, but pod has no specified memory limit
```
The Kubernetes API server is rejecting the replication controllers requests to create a pod because our pods
do not specify any memory usage.
So let's set some default limits for the amount of cpu and memory a pod can consume:
```shell
$ kubectl create -f limits.yaml --namespace=quota-example
limitranges/limits
$ kubectl describe limits limits --namespace=quota-example
Name: limits
Namespace: quota-example
Type Resource Min Max Default
---- -------- --- --- ---
Container memory - - 512Mi
Container cpu - - 100m
```
Now any time a pod is created in this namespace, if it has not specified any resource limits, the default
amount of cpu and memory per container will be applied as part of admission control.
Now that we have applied default limits for our namespace, our replication controller should be able to
create its pods.
```shell
$ kubectl get pods --namespace=quota-example
NAME READY STATUS RESTARTS AGE
nginx-t9cap 1/1 Running 0 49s
```
And if we print out our quota usage in the namespace:
```shell
kubectl describe quota quota --namespace=quota-example
Name: quota
Namespace: default
Resource Used Hard
-------- ---- ----
cpu 100m 20
memory 536870912 1Gi
persistentvolumeclaims 0 10
pods 1 10
replicationcontrollers 1 20
resourcequotas 1 1
secrets 1 10
services 0 5
```
You can now see the pod that was created is consuming explicit amounts of resources, and the usage is being
tracked by the Kubernetes system properly.
Summary
----------------------------
Actions that consume node resources for cpu and memory can be subject to hard quota limits defined
by the namespace quota.
Any action that consumes those resources can be tweaked, or can pick up namespace level defaults to
meet your end goal.
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examples/resourcequota/limits.yaml
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@@ -1,10 +0,0 @@
apiVersion: v1
kind: LimitRange
metadata:
name: limits
spec:
limits:
- default:
cpu: 100m
memory: 512Mi
type: Container

4
examples/resourcequota/namespace.yaml
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@@ -1,4 +0,0 @@
apiVersion: v1
kind: Namespace
metadata:
name: quota-example

14
examples/resourcequota/quota.yaml
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@@ -1,14 +0,0 @@
apiVersion: v1
kind: ResourceQuota
metadata:
name: quota
spec:
hard:
cpu: "20"
memory: 1Gi
persistentvolumeclaims: "10"
pods: "10"
replicationcontrollers: "20"
resourcequotas: "1"
secrets: "10"
services: "5"

78
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@@ -1,78 +0,0 @@
<!-- BEGIN MUNGE: UNVERSIONED_WARNING -->
<!-- BEGIN STRIP_FOR_RELEASE -->
<h1>*** PLEASE NOTE: This document applies to the HEAD of the source
tree only. If you are using a released version of Kubernetes, you almost
certainly want the docs that go with that version.</h1>
<strong>Documentation for specific releases can be found at
[releases.k8s.io](http://releases.k8s.io).</strong>
<!-- END STRIP_FOR_RELEASE -->
<!-- END MUNGE: UNVERSIONED_WARNING -->
# Secrets example
Following this example, you will create a secret and a pod that consumes that secret in a volume.
You can learn more about secrets [Here](https://github.com/GoogleCloudPlatform/kubernetes/blob/master/docs/secrets.md).
## Step Zero: Prerequisites
This example assumes you have a Kubernetes cluster installed and running, and that you have
installed the ```kubectl``` command line tool somewhere in your path. Please see the [getting
started](../../docs/getting-started-guides/) for installation instructions for your platform.
## Step One: Create the secret
A secret contains a set of named byte arrays.
Use the [`examples/secrets/secret.yaml`](secret.yaml) file to create a secret:
```shell
$ kubectl create -f examples/secrets/secret.yaml
```
You can use `kubectl` to see information about the secret:
```shell
$ kubectl get secrets
NAME TYPE DATA
test-secret Opaque 2
$ kubectl describe secret test-secret
Name: test-secret
Labels: <none>
Annotations: <none>
Type: Opaque
Data
====
data-1: 9 bytes
data-2: 11 bytes
```
## Step Two: Create a pod that consumes a secret
Pods consume secrets in volumes. Now that you have created a secret, you can create a pod that
consumes it.
Use the [`examples/secrets/secret-pod.yaml`](secret-pod.yaml) file to create a Pod that consumes the secret.
```shell
$ kubectl create -f examples/secrets/secret-pod.yaml
```
This pod runs a binary that displays the content of one of the pieces of secret data in the secret
volume:
```shell
$ kubectl logs secret-test-pod
2015-04-29T21:17:24.712206409Z content of file "/etc/secret-volume/data-1": value-1
```
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@@ -1,18 +0,0 @@
apiVersion: v1
kind: Pod
metadata:
name: secret-test-pod
spec:
containers:
- name: test-container
image: kubernetes/mounttest:0.1
command: [ "/mt", "--file_content=/etc/secret-volume/data-1" ]
volumeMounts:
# name must match the volume name below
- name: secret-volume
mountPath: /etc/secret-volume
volumes:
- name: secret-volume
secret:
secretName: test-secret
restartPolicy: Never

7
examples/secrets/secret.yaml
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@@ -1,7 +0,0 @@
apiVersion: v1
kind: Secret
metadata:
name: test-secret
data:
data-1: dmFsdWUtMQ0K
data-2: dmFsdWUtMg0KDQo=

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@@ -1,69 +0,0 @@
<!-- BEGIN MUNGE: UNVERSIONED_WARNING -->
<!-- BEGIN STRIP_FOR_RELEASE -->
<h1>*** PLEASE NOTE: This document applies to the HEAD of the source
tree only. If you are using a released version of Kubernetes, you almost
certainly want the docs that go with that version.</h1>
<strong>Documentation for specific releases can be found at
[releases.k8s.io](http://releases.k8s.io).</strong>
<!-- END STRIP_FOR_RELEASE -->
<!-- END MUNGE: UNVERSIONED_WARNING -->
## Running your first containers in Kubernetes
Ok, you've run one of the [getting started guides](../docs/getting-started-guides/) and you have
successfully turned up a Kubernetes cluster. Now what? This guide will help you get oriented
to Kubernetes and running your first containers on the cluster.
### Running a container (simple version)
From this point onwards, it is assumed that `kubectl` is on your path from one of the getting started guides.
The [`kubectl run`](../docs/user-guide/kubectl/kubectl_run.md) line below will create two [nginx](https://registry.hub.docker.com/_/nginx/) [pods](../docs/pods.md) listening on port 80. It will also create a [replication controller](../docs/replication-controller.md) named `my-nginx` to ensure that there are always two pods running.
```bash
kubectl run my-nginx --image=nginx --replicas=2 --port=80
```
Once the pods are created, you can list them to see what is up and running:
```bash
kubectl get pods
```
You can also see the replication controller that was created:
```bash
kubectl get rc
```
To stop the two replicated containers, stop the replication controller:
```bash
kubectl stop rc my-nginx
```
### Exposing your pods to the internet.
On some platforms (for example Google Compute Engine) the kubectl command can integrate with your cloud provider to add a [public IP address](../docs/services.md#external-services) for the pods,
to do this run:
```bash
kubectl expose rc my-nginx --port=80 --type=LoadBalancer
```
This should print the service that has been created, and map an external IP address to the service. Where to find this external IP address will depend on the environment you run in. For instance, for Google Compute Engine the external IP address is listed as part of the newly created service and can be retrieved by running
```bash
kubectl get services
```
In order to access your nginx landing page, you also have to make sure that traffic from external IPs is allowed. Do this by opening a firewall to allow traffic on port 80.
### Next: Configuration files
Most people will eventually want to use declarative configuration files for creating/modifying their applications. A [simplified introduction](simple-yaml.md)
is given in a different document.
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@@ -1,100 +0,0 @@
<!-- BEGIN MUNGE: UNVERSIONED_WARNING -->
<!-- BEGIN STRIP_FOR_RELEASE -->
<h1>*** PLEASE NOTE: This document applies to the HEAD of the source
tree only. If you are using a released version of Kubernetes, you almost
certainly want the docs that go with that version.</h1>
<strong>Documentation for specific releases can be found at
[releases.k8s.io](http://releases.k8s.io).</strong>
<!-- END STRIP_FOR_RELEASE -->
<!-- END MUNGE: UNVERSIONED_WARNING -->
## Getting started with config files.
In addition to the imperative style commands described [elsewhere](simple-nginx.md), Kubernetes
supports declarative YAML or JSON configuration files. Often times config files are preferable
to imperative commands, since they can be checked into version control and changes to the files
can be code reviewed, producing a more robust, reliable and archival system.
### Running a container from a pod configuration file
```bash
cd kubernetes
kubectl create -f pod.yaml
```
Where pod.yaml contains something like:
```yaml
apiVersion: v1
kind: Pod
metadata:
name: nginx
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx
ports:
- containerPort: 80
```
You can see your cluster's pods:
```bash
kubectl get pods
```
and delete the pod you just created:
```bash
kubectl delete pods nginx
```
### Running a replicated set of containers from a configuration file
To run replicated containers, you need a [Replication Controller](../docs/replication-controller.md).
A replication controller is responsible for ensuring that a specific number of pods exist in the
cluster.
```bash
cd kubernetes
kubectl create -f replication.yaml
```
Where ```replication.yaml``` contains:
```yaml
apiVersion: v1
kind: ReplicationController
metadata:
name: nginx
spec:
replicas: 3
selector:
app: nginx
template:
metadata:
name: nginx
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx
ports:
- containerPort: 80
```
To delete the replication controller (and the pods it created):
```bash
kubectl delete rc nginx
```
<!-- BEGIN MUNGE: GENERATED_ANALYTICS -->
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@@ -1,137 +0,0 @@
<!-- BEGIN MUNGE: UNVERSIONED_WARNING -->
<!-- BEGIN STRIP_FOR_RELEASE -->
<h1>*** PLEASE NOTE: This document applies to the HEAD of the source
tree only. If you are using a released version of Kubernetes, you almost
certainly want the docs that go with that version.</h1>
<strong>Documentation for specific releases can be found at
[releases.k8s.io](http://releases.k8s.io).</strong>
<!-- END STRIP_FOR_RELEASE -->
<!-- END MUNGE: UNVERSIONED_WARNING -->
<!--
Copyright 2014 Google Inc. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
-->
# Live update example
This example demonstrates the usage of Kubernetes to perform a live update on a running group of [pods](../../docs/pods.md).
### Step Zero: Prerequisites
This example assumes that you have forked the repository and [turned up a Kubernetes cluster](../../docs/getting-started-guides/):
```bash
$ cd kubernetes
$ ./cluster/kube-up.sh
```
### Step One: Turn up the UX for the demo
You can use bash job control to run this in the background (note that you must use the default port -- 8001 -- for the following demonstration to work properly).
This can sometimes spew to the output so you could also run it in a different terminal. You have to run `kubectl proxy` in the root of the
Kubernetes repository. Otherwise you will get "404 page not found" errors as the paths will not match. You can find more information about `kubectl proxy`
[here](https://github.com/GoogleCloudPlatform/kubernetes/blob/master/docs/kubectl_proxy.md).
```
$ kubectl proxy --www=examples/update-demo/local/ &
+ kubectl proxy --www=examples/update-demo/local/
I0218 15:18:31.623279 67480 proxy.go:36] Starting to serve on localhost:8001
```
Now visit the the [demo website](http://localhost:8001/static). You won't see anything much quite yet.
### Step Two: Run the replication controller
Now we will turn up two replicas of an image. They all serve on internal port 80.
```bash
$ kubectl create -f examples/update-demo/nautilus-rc.yaml
```
After pulling the image from the Docker Hub to your worker nodes (which may take a minute or so) you'll see a couple of squares in the UI detailing the pods that are running along with the image that they are serving up. A cute little nautilus.
### Step Three: Try scaling the replication controller
Now we will increase the number of replicas from two to four:
```bash
$ kubectl scale rc update-demo-nautilus --replicas=4
```
If you go back to the [demo website](http://localhost:8001/static/index.html) you should eventually see four boxes, one for each pod.
### Step Four: Update the docker image
We will now update the docker image to serve a different image by doing a rolling update to a new Docker image.
```bash
$ kubectl rolling-update update-demo-nautilus --update-period=10s -f examples/update-demo/kitten-rc.yaml
```
The rolling-update command in kubectl will do 2 things:
1. Create a new [replication controller](../../docs/replication-controller.md) with a pod template that uses the new image (`gcr.io/google_containers/update-demo:kitten`)
2. Scale the old and new replication controllers until the new controller replaces the old. This will kill the current pods one at a time, spinnning up new ones to replace them.
Watch the [demo website](http://localhost:8001/static/index.html), it will update one pod every 10 seconds until all of the pods have the new image.
### Step Five: Bring down the pods
```bash
$ kubectl stop rc update-demo-kitten
```
This first stops the replication controller by turning the target number of replicas to 0 and then deletes the controller.
### Step Six: Cleanup
To turn down a Kubernetes cluster:
```bash
$ ./cluster/kube-down.sh
```
Kill the proxy running in the background:
After you are done running this demo make sure to kill it:
```bash
$ jobs
[1]+ Running ./kubectl proxy --www=local/ &
$ kill %1
[1]+ Terminated: 15 ./kubectl proxy --www=local/
```
### Updating the Docker images
If you want to build your own docker images, you can set `$DOCKER_HUB_USER` to your Docker user id and run the included shell script. It can take a few minutes to download/upload stuff.
```bash
$ export DOCKER_HUB_USER=my-docker-id
$ ./examples/update-demo/build-images.sh
```
To use your custom docker image in the above examples, you will need to change the image name in `examples/update-demo/nautilus-rc.yaml` and `examples/update-demo/kitten-rc.yaml`.
### Image Copyright
Note that the images included here are public domain.
* [kitten](http://commons.wikimedia.org/wiki/File:Kitten-stare.jpg)
* [nautilus](http://commons.wikimedia.org/wiki/File:Nautilus_pompilius.jpg)
<!-- BEGIN MUNGE: GENERATED_ANALYTICS -->
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<!-- END MUNGE: GENERATED_ANALYTICS -->

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@@ -1,30 +0,0 @@
#!/bin/bash
# Copyright 2014 The Kubernetes Authors All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# This script will build and push the images necessary for the demo.
set -o errexit
set -o nounset
set -o pipefail
DOCKER_HUB_USER=${DOCKER_HUB_USER:-kubernetes}
set -x
docker build -t "${DOCKER_HUB_USER}/update-demo:kitten" images/kitten
docker build -t "${DOCKER_HUB_USER}/update-demo:nautilus" images/nautilus
docker push "${DOCKER_HUB_USER}/update-demo"

17
examples/update-demo/images/kitten/Dockerfile
View File

@@ -1,17 +0,0 @@
# Copyright 2014 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
FROM kubernetes/test-webserver
COPY html/kitten.jpg kitten.jpg
COPY html/data.json data.json

3
examples/update-demo/images/kitten/html/data.json
View File

@@ -1,3 +0,0 @@
{
"image": "kitten.jpg"
}

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@@ -1,17 +0,0 @@
# Copyright 2014 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
FROM kubernetes/test-webserver
COPY html/nautilus.jpg nautilus.jpg
COPY html/data.json data.json

3
examples/update-demo/images/nautilus/html/data.json
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@@ -1,3 +0,0 @@
{
"image": "nautilus.jpg"
}

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examples/update-demo/kitten-rc.yaml
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@@ -1,20 +0,0 @@
apiVersion: v1
kind: ReplicationController
metadata:
name: update-demo-kitten
spec:
selector:
name: update-demo
version: kitten
template:
metadata:
labels:
name: update-demo
version: kitten
spec:
containers:
- image: gcr.io/google_containers/update-demo:kitten
name: update-demo
ports:
- containerPort: 80
protocol: TCP

21
examples/update-demo/local/LICENSE.angular
View File

@@ -1,21 +0,0 @@
The MIT License
Copyright (c) 2010-2014 Google, Inc. http://angularjs.org
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.

210
examples/update-demo/local/angular.min.js vendored
View File

@@ -1,210 +0,0 @@
/*
AngularJS v1.2.16
(c) 2010-2014 Google, Inc. http://angularjs.org
License: MIT
*/
(function(O,U,s){'use strict';function t(b){return function(){var a=arguments[0],c,a="["+(b?b+":":"")+a+"] http://errors.angularjs.org/1.2.16/"+(b?b+"/":"")+a;for(c=1;c<arguments.length;c++)a=a+(1==c?"?":"&")+"p"+(c-1)+"="+encodeURIComponent("function"==typeof arguments[c]?arguments[c].toString().replace(/ \{[\s\S]*$/,""):"undefined"==typeof arguments[c]?"undefined":"string"!=typeof arguments[c]?JSON.stringify(arguments[c]):arguments[c]);return Error(a)}}function ab(b){if(null==b||Ca(b))return!1;
var a=b.length;return 1===b.nodeType&&a?!0:w(b)||M(b)||0===a||"number"===typeof a&&0<a&&a-1 in b}function q(b,a,c){var d;if(b)if(P(b))for(d in b)"prototype"==d||("length"==d||"name"==d||b.hasOwnProperty&&!b.hasOwnProperty(d))||a.call(c,b[d],d);else if(b.forEach&&b.forEach!==q)b.forEach(a,c);else if(ab(b))for(d=0;d<b.length;d++)a.call(c,b[d],d);else for(d in b)b.hasOwnProperty(d)&&a.call(c,b[d],d);return b}function Qb(b){var a=[],c;for(c in b)b.hasOwnProperty(c)&&a.push(c);return a.sort()}function Sc(b,
a,c){for(var d=Qb(b),e=0;e<d.length;e++)a.call(c,b[d[e]],d[e]);return d}function Rb(b){return function(a,c){b(c,a)}}function bb(){for(var b=ka.length,a;b;){b--;a=ka[b].charCodeAt(0);if(57==a)return ka[b]="A",ka.join("");if(90==a)ka[b]="0";else return ka[b]=String.fromCharCode(a+1),ka.join("")}ka.unshift("0");return ka.join("")}function Sb(b,a){a?b.$$hashKey=a:delete b.$$hashKey}function D(b){var a=b.$$hashKey;q(arguments,function(a){a!==b&&q(a,function(a,c){b[c]=a})});Sb(b,a);return b}function Y(b){return parseInt(b,
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terminal:!0});O.angular.bootstrap?console.log("WARNING: Tried to load angular more than once."):((Ga=O.jQuery)?(y=Ga,D(Ga.fn,{scope:Ja.scope,isolateScope:Ja.isolateScope,controller:Ja.controller,injector:Ja.injector,inheritedData:Ja.inheritedData}),Ab("remove",!0,!0,!1),Ab("empty",!1,!1,!1),Ab("html",!1,!1,!0)):y=N,Ea.element=y,Zc(Ea),y(U).ready(function(){Wc(U,$b)}))})(window,document);!angular.$$csp()&&angular.element(document).find("head").prepend('<style type="text/css">@charset "UTF-8";[ng\\:cloak],[ng-cloak],[data-ng-cloak],[x-ng-cloak],.ng-cloak,.x-ng-cloak,.ng-hide{display:none !important;}ng\\:form{display:block;}.ng-animate-block-transitions{transition:0s all!important;-webkit-transition:0s all!important;}</style>');
//# sourceMappingURL=angular.min.js.map

8
examples/update-demo/local/angular.min.js.map
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36
examples/update-demo/local/index.html
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@@ -1,36 +0,0 @@
<!--
Copyright 2014 Google Inc. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
-->
<html ng-app>
<head>
<script src="angular.min.js"></script>
<script src="script.js"></script>
<link rel="stylesheet" href="style.css"></link>
</head>
<body ng-controller="ButtonsCtrl">
<div ng-repeat="server in servers" class="pod">
<img src="/api/v1/proxy/namespaces/default/pods/{{server.podName}}/{{server.image}}" height="100px" width="100px" />
<b>ID:</b> {{server.podName}}<br>
<b>Host:</b> <a href="/api/v1/proxy/namespaces/default/pods/{{server.podName}}/data.json">{{server.host}}</a><br>
<b>Status:</b> {{server.status}}<br>
<b>Image:</b> {{server.dockerImage}}<br>
<b>Labels:</b>
<ul>
<li ng-repeat="(key,value) in server.labels">{{key}}={{value}}</li>
</ul>
</div>
</body>
</html>

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@@ -1,100 +0,0 @@
/*
Copyright 2014 Google Inc. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/
var base = "/api/v1/";
var updateImage = function($http, server) {
$http.get(base + "proxy/namespaces/default/pods/" + server.podName + "/data.json")
.success(function(data) {
console.log(data);
server.image = data.image;
})
.error(function(data) {
console.log(data);
server.image = "";
});
};
var updateServer = function($http, server) {
$http.get(base + "namespaces/default/pods/" + server.podName)
.success(function(data) {
console.log(data);
server.labels = data.metadata.labels;
server.host = data.status.hostIP.split('.')[0];
server.status = data.status.phase;
server.dockerImage = data.status.containerStatuses[0].image;
updateImage($http, server);
})
.error(function(data) {
console.log(data);
});
};
var updateData = function($scope, $http) {
var servers = $scope.servers;
for (var i = 0; i < servers.length; ++i) {
var server = servers[i];
updateServer($http, server);
}
};
var ButtonsCtrl = function ($scope, $http, $interval) {
$scope.servers = [];
update($scope, $http);
$interval(angular.bind({}, update, $scope, $http), 2000);
};
var getServer = function($scope, name) {
var servers = $scope.servers;
for (var i = 0; i < servers.length; ++i) {
if (servers[i].podName == name) {
return servers[i];
}
}
return null;
};
var isUpdateDemoPod = function(pod) {
return pod.metadata && pod.metadata.labels && pod.metadata.labels.name == "update-demo";
};
var update = function($scope, $http) {
if (!$http) {
console.log("No HTTP!");
return;
}
$http.get(base + "namespaces/default/pods")
.success(function(data) {
console.log(data);
var newServers = [];
for (var i = 0; i < data.items.length; ++i) {
var pod = data.items[i];
if (!isUpdateDemoPod(pod)) {
continue;
}
var server = getServer($scope, pod.metadata.name);
if (server == null) {
server = { "podName": pod.metadata.name };
}
newServers.push(server);
}
$scope.servers = newServers;
updateData($scope, $http);
})
.error(function(data) {
console.log("ERROR: " + data);
})
};

40
examples/update-demo/local/style.css
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@@ -1,40 +0,0 @@
/*
Copyright 2014 Google Inc. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/
img {
height: 100px;
width: 100px;
float: right;
background-size: 100px 100px;
background-color: black;
margin-left: 10px;
border: none;
}
ul {
margin-top: 0;
margin-bottom: 0;
}
.pod {
font-family: Roboto, Open Sans, arial;
border: 1px solid black;
border-radius: 5px;
padding: 10px;
margin: 10px;
display: inline-block;
background-color: #D1D1D1;
}

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examples/update-demo/nautilus-rc.yaml
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@@ -1,21 +0,0 @@
apiVersion: v1
kind: ReplicationController
metadata:
name: update-demo-nautilus
spec:
replicas: 2
selector:
name: update-demo
version: nautilus
template:
metadata:
labels:
name: update-demo
version: nautilus
spec:
containers:
- image: gcr.io/google_containers/update-demo:nautilus
name: update-demo
ports:
- containerPort: 80
protocol: TCP

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examples/walkthrough/README.md
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@@ -1,131 +0,0 @@
<!-- BEGIN MUNGE: UNVERSIONED_WARNING -->
<!-- BEGIN STRIP_FOR_RELEASE -->
<h1>*** PLEASE NOTE: This document applies to the HEAD of the source
tree only. If you are using a released version of Kubernetes, you almost
certainly want the docs that go with that version.</h1>
<strong>Documentation for specific releases can be found at
[releases.k8s.io](http://releases.k8s.io).</strong>
<!-- END STRIP_FOR_RELEASE -->
<!-- END MUNGE: UNVERSIONED_WARNING -->
# Kubernetes 101 - Walkthrough
## Pods
The first atom of Kubernetes is a _pod_. A pod is a collection of containers that are symbiotically grouped.
See [pods](../../docs/pods.md) for more details.
### Intro
Trivially, a single container might be a pod. For example, you can express a simple web server as a pod:
```yaml
apiVersion: v1
kind: Pod
metadata:
name: www
spec:
containers:
- name: nginx
image: nginx
```
A pod definition is a declaration of a _desired state_. Desired state is a very important concept in the Kubernetes model. Many things present a desired state to the system, and it is Kubernetes' responsibility to make sure that the current state matches the desired state. For example, when you create a Pod, you declare that you want the containers in it to be running. If the containers happen to not be running (e.g. program failure, ...), Kubernetes will continue to (re-)create them for you in order to drive them to the desired state. This process continues until you delete the Pod.
See the [design document](../../DESIGN.md) for more details.
### Volumes
Now that's great for a static web server, but what about persistent storage? We know that the container file system only lives as long as the container does, so we need more persistent storage. To do this, you also declare a ```volume``` as part of your pod, and mount it into a container:
```yaml
apiVersion: v1
kind: Pod
metadata:
name: storage
spec:
containers:
- name: redis
image: redis
volumeMounts:
# name must match the volume name below
- name: redis-persistent-storage
# mount path within the container
mountPath: /data/redis
volumes:
- name: redis-persistent-storage
emptyDir: {}
```
Ok, so what did we do? We added a volume to our pod:
```
volumes:
- name: redis-persistent-storage
emptyDir: {}
```
And we added a reference to that volume to our container:
```
volumeMounts:
# name must match the volume name below
- name: redis-persistent-storage
# mount path within the container
mountPath: /data/redis
```
In Kubernetes, ```emptyDir``` Volumes live for the lifespan of the Pod, which is longer than the lifespan of any one container, so if the container fails and is restarted, our persistent storage will live on.
If you want to mount a directory that already exists in the file system (e.g. ```/var/logs```) you can use the ```hostPath``` directive.
See [volumes](../../docs/volumes.md) for more details.
### Multiple Containers
_Note:
The examples below are syntactically correct, but some of the images (e.g. kubernetes/git-monitor) don't exist yet. We're working on turning these into working examples._
However, often you want to have two different containers that work together. An example of this would be a web server, and a helper job that polls a git repository for new updates:
```yaml
apiVersion: v1
kind: Pod
metadata:
name: www
spec:
containers:
- name: nginx
image: nginx
volumeMounts:
- mountPath: /srv/www
name: www-data
readOnly: true
- name: git-monitor
image: kubernetes/git-monitor
env:
- name: GIT_REPO
value: http://github.com/some/repo.git
volumeMounts:
- mountPath: /data
name: www-data
volumes:
- name: www-data
emptyDir: {}
```
Note that we have also added a volume here. In this case, the volume is mounted into both containers. It is marked ```readOnly``` in the web server's case, since it doesn't need to write to the directory.
Finally, we have also introduced an environment variable to the ```git-monitor``` container, which allows us to parameterize that container with the particular git repository that we want to track.
### What's next?
Continue on to [Kubernetes 201](k8s201.md) or
for a complete application see the [guestbook example](../guestbook/README.md)
<!-- BEGIN MUNGE: GENERATED_ANALYTICS -->
[![Analytics](https://kubernetes-site.appspot.com/UA-36037335-10/GitHub/examples/walkthrough/README.md?pixel)]()
<!-- END MUNGE: GENERATED_ANALYTICS -->

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@@ -1,170 +0,0 @@
<!-- BEGIN MUNGE: UNVERSIONED_WARNING -->
<!-- BEGIN STRIP_FOR_RELEASE -->
<h1>*** PLEASE NOTE: This document applies to the HEAD of the source
tree only. If you are using a released version of Kubernetes, you almost
certainly want the docs that go with that version.</h1>
<strong>Documentation for specific releases can be found at
[releases.k8s.io](http://releases.k8s.io).</strong>
<!-- END STRIP_FOR_RELEASE -->
<!-- END MUNGE: UNVERSIONED_WARNING -->
# Kubernetes 201 - Labels, Replication Controllers, Services and Health Checking
### Overview
When we had just left off in the [previous episode](README.md) we had learned about pods, multiple containers and volumes.
We'll now cover some slightly more advanced topics in Kubernetes, related to application productionization, deployment and
scaling.
### Labels
Having already learned about Pods and how to create them, you may be struck by an urge to create many, many pods. Please do! But eventually you will need a system to organize these pods into groups. The system for achieving this in Kubernetes is Labels. Labels are key-value pairs that are attached to each object in Kubernetes. Label selectors can be passed along with a RESTful ```list``` request to the apiserver to retrieve a list of objects which match that label selector. For example:
```sh
kubectl get pods -l name=nginx
```
Lists all pods who name label matches 'nginx'. Labels are discussed in detail [elsewhere](../../docs/labels.md), but they are a core concept for two additional building blocks for Kubernetes, Replication Controllers and Services
### Replication Controllers
OK, now you have an awesome, multi-container, labelled pod and you want to use it to build an application, you might be tempted to just start building a whole bunch of individual pods, but if you do that, a whole host of operational concerns pop up. For example: how will you scale the number of pods up or down and how will you ensure that all pods are homogenous?
Replication controllers are the objects to answer these questions. A replication controller combines a template for pod creation (a "cookie-cutter" if you will) and a number of desired replicas, into a single Kubernetes object. The replication controller also contains a label selector that identifies the set of objects managed by the replication controller. The replication controller constantly measures the size of this set relative to the desired size, and takes action by creating or deleting pods. The design of replication controllers is discussed in detail [elsewhere](../../docs/replication-controller.md).
An example replication controller that instantiates two pods running nginx looks like:
```yaml
apiVersion: v1
kind: ReplicationController
metadata:
name: nginx-controller
spec:
replicas: 2
# selector identifies the set of Pods that this
# replication controller is responsible for managing
selector:
name: nginx
# podTemplate defines the 'cookie cutter' used for creating
# new pods when necessary
template:
metadata:
labels:
# Important: these labels need to match the selector above
# The api server enforces this constraint.
name: nginx
spec:
containers:
- name: nginx
image: nginx
ports:
- containerPort: 80
```
### Services
Once you have a replicated set of pods, you need an abstraction that enables connectivity between the layers of your application. For example, if you have a replication controller managing your backend jobs, you don't want to have to reconfigure your front-ends whenever you re-scale your backends. Likewise, if the pods in your backends are scheduled (or rescheduled) onto different machines, you can't be required to re-configure your front-ends. In Kubernetes, the Service object achieves these goals. A Service basically combines an IP address and a label selector together to form a simple, static rallying point for connecting to a micro-service in your application.
For example, here is a service that balances across the pods created in the previous nginx replication controller example:
```yaml
apiVersion: v1
kind: Service
metadata:
name: nginx-example
spec:
ports:
- port: 8000 # the port that this service should serve on
# the container on each pod to connect to, can be a name
# (e.g. 'www') or a number (e.g. 80)
targetPort: 80
protocol: TCP
# just like the selector in the replication controller,
# but this time it identifies the set of pods to load balance
# traffic to.
selector:
name: nginx
```
When created, each service is assigned a unique IP address. This address is tied to the lifespan of the Service, and will not change while the Service is alive. Pods can be configured to talk to the service, and know that communication to the service will be automatically load-balanced out to some pod that is a member of the set identified by the label selector in the Service. Services are described in detail [elsewhere](../../docs/services.md).
### Health Checking
When I write code it never crashes, right? Sadly the [kubernetes issues list](https://github.com/GoogleCloudPlatform/kubernetes/issues) indicates otherwise...
Rather than trying to write bug-free code, a better approach is to use a management system to perform periodic health checking
and repair of your application. That way, a system, outside of your application itself, is responsible for monitoring the
application and taking action to fix it. It's important that the system be outside of the application, since of course, if
your application fails, and the health checking agent is part of your application, it may fail as well, and you'll never know.
In Kubernetes, the health check monitor is the Kubelet agent.
#### Low level process health-checking
The simplest form of health-checking is just process level health checking. The Kubelet constantly asks the Docker daemon
if the container process is still running, and if not, the container process is restarted. In all of the Kubernetes examples
you have run so far, this health checking was actually already enabled. It's on for every single container that runs in
Kubernetes.
#### Application health-checking
However, in many cases, this low-level health checking is insufficient. Consider for example, the following code:
```go
lockOne := sync.Mutex{}
lockTwo := sync.Mutex{}
go func() {
lockOne.Lock();
lockTwo.Lock();
...
}()
lockTwo.Lock();
lockOne.Lock();
```
This is a classic example of a problem in computer science known as "Deadlock". From Docker's perspective your application is
still operating, the process is still running, but from your application's perspective, your code is locked up, and will never respond correctly.
To address this problem, Kubernetes supports user implemented application health-checks. These checks are performed by the
Kubelet to ensure that your application is operating correctly for a definition of "correctly" that _you_ provide.
Currently, there are three types of application health checks that you can choose from:
* HTTP Health Checks - The Kubelet will call a web hook. If it returns between 200 and 399, it is considered success, failure otherwise.
* Container Exec - The Kubelet will execute a command inside your container. If it exits with status 0 it will be considered a success.
* TCP Socket - The Kubelet will attempt to open a socket to your container. If it can establish a connection, the container is considered healthy, if it can't it is considered a failure.
In all cases, if the Kubelet discovers a failure, the container is restarted.
The container health checks are configured in the "LivenessProbe" section of your container config. There you can also specify an "initialDelaySeconds" that is a grace period from when the container is started to when health checks are performed, to enable your container to perform any necessary initialization.
Here is an example config for a pod with an HTTP health check:
```yaml
apiVersion: v1
kind: Pod
metadata:
name: pod-with-healthcheck
spec:
containers:
- name: nginx
image: nginx
# defines the health checking
livenessProbe:
# an http probe
httpGet:
path: /_status/healthz
port: 80
# length of time to wait for a pod to initialize
# after pod startup, before applying health checking
initialDelaySeconds: 30
timeoutSeconds: 1
ports:
- containerPort: 80
```
### What's next?
For a complete application see the [guestbook example](../guestbook/).
<!-- BEGIN MUNGE: GENERATED_ANALYTICS -->
[![Analytics](https://kubernetes-site.appspot.com/UA-36037335-10/GitHub/examples/walkthrough/k8s201.md?pixel)]()
<!-- END MUNGE: GENERATED_ANALYTICS -->

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examples/walkthrough/pod-with-http-healthcheck.yaml
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@@ -1,20 +0,0 @@
apiVersion: v1
kind: Pod
metadata:
name: pod-with-healthcheck
spec:
containers:
- name: nginx
image: nginx
# defines the health checking
livenessProbe:
# an http probe
httpGet:
path: /_status/healthz
port: 80
# length of time to wait for a pod to initialize
# after pod startup, before applying health checking
initialDelaySeconds: 30
timeoutSeconds: 1
ports:
- containerPort: 80

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examples/walkthrough/pod1.yaml
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@@ -1,8 +0,0 @@
apiVersion: v1
kind: Pod
metadata:
name: www
spec:
containers:
- name: nginx
image: nginx

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examples/walkthrough/pod2.yaml
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@@ -1,16 +0,0 @@
apiVersion: v1
kind: Pod
metadata:
name: storage
spec:
containers:
- name: redis
image: redis
volumeMounts:
# name must match the volume name below
- name: redis-persistent-storage
# mount path within the container
mountPath: /data/redis
volumes:
- name: redis-persistent-storage
emptyDir: {}

22
examples/walkthrough/podtemplate.json
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@@ -1,22 +0,0 @@
{
"apiVersion": "v1",
"kind": "PodTemplate",
"metadata": {
"name": "nginx"
},
"template": {
"metadata": {
"labels": {
"name": "nginx"
},
"generateName": "nginx-"
},
"spec": {
"containers": [{
"name": "nginx",
"image": "dockerfile/nginx",
"ports": [{"containerPort": 80}]
}]
}
}
}

24
examples/walkthrough/replication-controller.yaml
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@@ -1,24 +0,0 @@
apiVersion: v1
kind: ReplicationController
metadata:
name: nginx-controller
spec:
replicas: 2
# selector identifies the set of pods that this
# replication controller is responsible for managing
selector:
name: nginx
# template defines the 'cookie cutter' used for creating
# new pods when necessary
template:
metadata:
labels:
# Important: these labels need to match the selector above
# The api server enforces this constraint.
name: nginx
spec:
containers:
- name: nginx
image: nginx
ports:
- containerPort: 80

16
examples/walkthrough/service.yaml
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@@ -1,16 +0,0 @@
apiVersion: v1
kind: Service
metadata:
name: nginx-example
spec:
ports:
- port: 8000 # the port that this service should serve on
# the container on each pod to connect to, can be a name
# (e.g. 'www') or a number (e.g. 80)
targetPort: 80
protocol: TCP
# just like the selector in the replication controller,
# but this time it identifies the set of pods to load balance
# traffic to.
selector:
name: nginx