Change files in dos format to unix format. Removing ^M.

This commit is contained in:
adieu
2016-09-01 22:25:57 +08:00
parent fda0238a36
commit 838352ff6e
11 changed files with 1595 additions and 1595 deletions
@@ -1,50 +1,50 @@
---
assignees:
- caesarxuchao
- mikedanese
---
kubectl port-forward forwards connections to a local port to a port on a pod. Its man page is available [here](/docs/user-guide/kubectl/kubectl_port-forward). Compared to [kubectl proxy](/docs/user-guide/accessing-the-cluster/#using-kubectl-proxy), `kubectl port-forward` is more generic as it can forward TCP traffic while `kubectl proxy` can only forward HTTP traffic. This guide demonstrates how to use `kubectl port-forward` to connect to a Redis database, which may be useful for database debugging.
## Creating a Redis master
```shell
$ kubectl create -f examples/redis/redis-master.yaml
pods/redis-master
```
wait until the Redis master pod is Running and Ready,
```shell
$ kubectl get pods
NAME READY STATUS RESTARTS AGE
redis-master 2/2 Running 0 41s
```
## Connecting to the Redis master[a]
The Redis master is listening on port 6379, to verify this,
```shell{% raw %}
$ kubectl get pods redis-master --template='{{(index (index .spec.containers 0).ports 0).containerPort}}{{"\n"}}'
6379{% endraw %}
```
then we forward the port 6379 on the local workstation to the port 6379 of pod redis-master,
```shell
$ kubectl port-forward redis-master 6379:6379
I0710 14:43:38.274550 3655 portforward.go:225] Forwarding from 127.0.0.1:6379 -> 6379
I0710 14:43:38.274797 3655 portforward.go:225] Forwarding from [::1]:6379 -> 6379
```
To verify the connection is successful, we run a redis-cli on the local workstation,
```shell
$ redis-cli
127.0.0.1:6379> ping
PONG
```
Now one can debug the database from the local workstation.
---
assignees:
- caesarxuchao
- mikedanese
---
kubectl port-forward forwards connections to a local port to a port on a pod. Its man page is available [here](/docs/user-guide/kubectl/kubectl_port-forward). Compared to [kubectl proxy](/docs/user-guide/accessing-the-cluster/#using-kubectl-proxy), `kubectl port-forward` is more generic as it can forward TCP traffic while `kubectl proxy` can only forward HTTP traffic. This guide demonstrates how to use `kubectl port-forward` to connect to a Redis database, which may be useful for database debugging.
## Creating a Redis master
```shell
$ kubectl create -f examples/redis/redis-master.yaml
pods/redis-master
```
wait until the Redis master pod is Running and Ready,
```shell
$ kubectl get pods
NAME READY STATUS RESTARTS AGE
redis-master 2/2 Running 0 41s
```
## Connecting to the Redis master[a]
The Redis master is listening on port 6379, to verify this,
```shell{% raw %}
$ kubectl get pods redis-master --template='{{(index (index .spec.containers 0).ports 0).containerPort}}{{"\n"}}'
6379{% endraw %}
```
then we forward the port 6379 on the local workstation to the port 6379 of pod redis-master,
```shell
$ kubectl port-forward redis-master 6379:6379
I0710 14:43:38.274550 3655 portforward.go:225] Forwarding from 127.0.0.1:6379 -> 6379
I0710 14:43:38.274797 3655 portforward.go:225] Forwarding from [::1]:6379 -> 6379
```
To verify the connection is successful, we run a redis-cli on the local workstation,
```shell
$ redis-cli
127.0.0.1:6379> ping
PONG
```
Now one can debug the database from the local workstation.
@@ -1,32 +1,32 @@
---
assignees:
- caesarxuchao
- lavalamp
---
You have seen the [basics](/docs/user-guide/accessing-the-cluster) about `kubectl proxy` and `apiserver proxy`. This guide shows how to use them together to access a service([kube-ui](/docs/user-guide/ui)) running on the Kubernetes cluster from your workstation.
## Getting the apiserver proxy URL of kube-ui
kube-ui is deployed as a cluster add-on. To find its apiserver proxy URL,
```shell
$ kubectl cluster-info | grep "KubeUI"
KubeUI is running at https://173.255.119.104/api/v1/proxy/namespaces/kube-system/services/kube-ui
```
if this command does not find the URL, try the steps [here](/docs/user-guide/ui/#accessing-the-ui).
## Connecting to the kube-ui service from your local workstation
The above proxy URL is an access to the kube-ui service provided by the apiserver. To access it, you still need to authenticate to the apiserver. `kubectl proxy` can handle the authentication.
```shell
$ kubectl proxy --port=8001
Starting to serve on localhost:8001
```
---
assignees:
- caesarxuchao
- lavalamp
---
You have seen the [basics](/docs/user-guide/accessing-the-cluster) about `kubectl proxy` and `apiserver proxy`. This guide shows how to use them together to access a service([kube-ui](/docs/user-guide/ui)) running on the Kubernetes cluster from your workstation.
## Getting the apiserver proxy URL of kube-ui
kube-ui is deployed as a cluster add-on. To find its apiserver proxy URL,
```shell
$ kubectl cluster-info | grep "KubeUI"
KubeUI is running at https://173.255.119.104/api/v1/proxy/namespaces/kube-system/services/kube-ui
```
if this command does not find the URL, try the steps [here](/docs/user-guide/ui/#accessing-the-ui).
## Connecting to the kube-ui service from your local workstation
The above proxy URL is an access to the kube-ui service provided by the apiserver. To access it, you still need to authenticate to the apiserver. `kubectl proxy` can handle the authentication.
```shell
$ kubectl proxy --port=8001
Starting to serve on localhost:8001
```
Now you can access the kube-ui service on your local workstation at [http://localhost:8001/api/v1/proxy/namespaces/kube-system/services/kube-ui](http://localhost:8001/api/v1/proxy/namespaces/kube-system/services/kube-ui)
+73 -73
View File
@@ -1,74 +1,74 @@
---
assignees:
- caesarxuchao
- mikedanese
---
Developers can use `kubectl exec` to run commands in a container. This guide demonstrates two use cases.
## Using kubectl exec to check the environment variables of a container
Kubernetes exposes [services](/docs/user-guide/services/#environment-variables) through environment variables. It is convenient to check these environment variables using `kubectl exec`.
We first create a pod and a service,
```shell
$ kubectl create -f examples/guestbook/redis-master-controller.yaml
$ kubectl create -f examples/guestbook/redis-master-service.yaml
```
wait until the pod is Running and Ready,
```shell
$ kubectl get pod
NAME READY REASON RESTARTS AGE
redis-master-ft9ex 1/1 Running 0 12s
```
then we can check the environment variables of the pod,
```shell
$ kubectl exec redis-master-ft9ex env
...
REDIS_MASTER_SERVICE_PORT=6379
REDIS_MASTER_SERVICE_HOST=10.0.0.219
...
```
We can use these environment variables in applications to find the service.
## Using kubectl exec to check the mounted volumes
It is convenient to use `kubectl exec` to check if the volumes are mounted as expected.
We first create a Pod with a volume mounted at /data/redis,
```shell
kubectl create -f docs/user-guide/walkthrough/pod-redis.yaml
```
wait until the pod is Running and Ready,
```shell
$ kubectl get pods
NAME READY REASON RESTARTS AGE
storage 1/1 Running 0 1m
```
we then use `kubectl exec` to verify that the volume is mounted at /data/redis,
```shell
$ kubectl exec storage ls /data
redis
```
## Using kubectl exec to open a bash terminal in a pod
After all, open a terminal in a pod is the most direct way to introspect the pod. Assuming the pod/storage is still running, run
```shell
$ kubectl exec -ti storage -- bash
root@storage:/data#
```
---
assignees:
- caesarxuchao
- mikedanese
---
Developers can use `kubectl exec` to run commands in a container. This guide demonstrates two use cases.
## Using kubectl exec to check the environment variables of a container
Kubernetes exposes [services](/docs/user-guide/services/#environment-variables) through environment variables. It is convenient to check these environment variables using `kubectl exec`.
We first create a pod and a service,
```shell
$ kubectl create -f examples/guestbook/redis-master-controller.yaml
$ kubectl create -f examples/guestbook/redis-master-service.yaml
```
wait until the pod is Running and Ready,
```shell
$ kubectl get pod
NAME READY REASON RESTARTS AGE
redis-master-ft9ex 1/1 Running 0 12s
```
then we can check the environment variables of the pod,
```shell
$ kubectl exec redis-master-ft9ex env
...
REDIS_MASTER_SERVICE_PORT=6379
REDIS_MASTER_SERVICE_HOST=10.0.0.219
...
```
We can use these environment variables in applications to find the service.
## Using kubectl exec to check the mounted volumes
It is convenient to use `kubectl exec` to check if the volumes are mounted as expected.
We first create a Pod with a volume mounted at /data/redis,
```shell
kubectl create -f docs/user-guide/walkthrough/pod-redis.yaml
```
wait until the pod is Running and Ready,
```shell
$ kubectl get pods
NAME READY REASON RESTARTS AGE
storage 1/1 Running 0 1m
```
we then use `kubectl exec` to verify that the volume is mounted at /data/redis,
```shell
$ kubectl exec storage ls /data
redis
```
## Using kubectl exec to open a bash terminal in a pod
After all, open a terminal in a pod is the most direct way to introspect the pod. Assuming the pod/storage is still running, run
```shell
$ kubectl exec -ti storage -- bash
root@storage:/data#
```
This gets you a terminal.
+79 -79
View File
@@ -1,80 +1,80 @@
---
assignees:
- mikedanese
---
This page is designed to help you use logs to troubleshoot issues with your Kubernetes solution.
## Logging by Kubernetes Components
Kubernetes components, such as kubelet and apiserver, use the [glog](https://godoc.org/github.com/golang/glog) logging library. Developer conventions for logging severity are described in [docs/devel/logging.md](https://github.com/kubernetes/kubernetes/tree/{{page.githubbranch}}/docs/devel/logging.md).
## Examining the logs of running containers
The logs of a running container may be fetched using the command `kubectl logs`. For example, given
this pod specification [counter-pod.yaml](https://github.com/kubernetes/kubernetes/tree/{{page.githubbranch}}/examples/blog-logging/counter-pod.yaml), which has a container which writes out some text to standard
output every second. (You can find different pod specifications [here](https://github.com/kubernetes/kubernetes.github.io/tree/{{page.docsbranch}}/docs/user-guide/logging-demo/).)
{% include code.html language="yaml" file="counter-pod.yaml" k8slink="/examples/blog-logging/counter-pod.yaml" %}
we can run the pod:
```shell
$ kubectl create -f ./counter-pod.yaml
pods/counter
```
and then fetch the logs:
```shell
$ kubectl logs counter
0: Tue Jun 2 21:37:31 UTC 2015
1: Tue Jun 2 21:37:32 UTC 2015
2: Tue Jun 2 21:37:33 UTC 2015
3: Tue Jun 2 21:37:34 UTC 2015
4: Tue Jun 2 21:37:35 UTC 2015
5: Tue Jun 2 21:37:36 UTC 2015
...
```
If a pod has more than one container then you need to specify which container's log files should
be fetched e.g.
```shell
$ kubectl logs kube-dns-v3-7r1l9 etcd
2015/06/23 00:43:10 etcdserver: start to snapshot (applied: 30003, lastsnap: 20002)
2015/06/23 00:43:10 etcdserver: compacted log at index 30003
2015/06/23 00:43:10 etcdserver: saved snapshot at index 30003
2015/06/23 02:05:42 etcdserver: start to snapshot (applied: 40004, lastsnap: 30003)
2015/06/23 02:05:42 etcdserver: compacted log at index 40004
2015/06/23 02:05:42 etcdserver: saved snapshot at index 40004
2015/06/23 03:28:31 etcdserver: start to snapshot (applied: 50005, lastsnap: 40004)
2015/06/23 03:28:31 etcdserver: compacted log at index 50005
2015/06/23 03:28:31 etcdserver: saved snapshot at index 50005
2015/06/23 03:28:56 filePurge: successfully removed file default.etcd/member/wal/0000000000000000-0000000000000000.wal
2015/06/23 04:51:03 etcdserver: start to snapshot (applied: 60006, lastsnap: 50005)
2015/06/23 04:51:03 etcdserver: compacted log at index 60006
2015/06/23 04:51:03 etcdserver: saved snapshot at index 60006
...
```
## Cluster level logging to Google Cloud Logging
The getting started guide [Cluster Level Logging to Google Cloud Logging](/docs/getting-started-guides/logging)
explains how container logs are ingested into [Google Cloud Logging](https://cloud.google.com/logging/docs/)
and shows how to query the ingested logs.
## Cluster level logging with Elasticsearch and Kibana
The getting started guide [Cluster Level Logging with Elasticsearch and Kibana](/docs/getting-started-guides/logging-elasticsearch)
describes how to ingest cluster level logs into Elasticsearch and view them using Kibana.
## Ingesting Application Log Files
Cluster level logging only collects the standard output and standard error output of the applications
running in containers. The guide [Collecting log files from within containers with Fluentd and sending them to the Google Cloud Logging service](https://github.com/kubernetes/contrib/blob/master/logging/fluentd-sidecar-gcp/README.md) explains how the log files of applications can also be ingested into Google Cloud logging.
## Known issues
---
assignees:
- mikedanese
---
This page is designed to help you use logs to troubleshoot issues with your Kubernetes solution.
## Logging by Kubernetes Components
Kubernetes components, such as kubelet and apiserver, use the [glog](https://godoc.org/github.com/golang/glog) logging library. Developer conventions for logging severity are described in [docs/devel/logging.md](https://github.com/kubernetes/kubernetes/tree/{{page.githubbranch}}/docs/devel/logging.md).
## Examining the logs of running containers
The logs of a running container may be fetched using the command `kubectl logs`. For example, given
this pod specification [counter-pod.yaml](https://github.com/kubernetes/kubernetes/tree/{{page.githubbranch}}/examples/blog-logging/counter-pod.yaml), which has a container which writes out some text to standard
output every second. (You can find different pod specifications [here](https://github.com/kubernetes/kubernetes.github.io/tree/{{page.docsbranch}}/docs/user-guide/logging-demo/).)
{% include code.html language="yaml" file="counter-pod.yaml" k8slink="/examples/blog-logging/counter-pod.yaml" %}
we can run the pod:
```shell
$ kubectl create -f ./counter-pod.yaml
pods/counter
```
and then fetch the logs:
```shell
$ kubectl logs counter
0: Tue Jun 2 21:37:31 UTC 2015
1: Tue Jun 2 21:37:32 UTC 2015
2: Tue Jun 2 21:37:33 UTC 2015
3: Tue Jun 2 21:37:34 UTC 2015
4: Tue Jun 2 21:37:35 UTC 2015
5: Tue Jun 2 21:37:36 UTC 2015
...
```
If a pod has more than one container then you need to specify which container's log files should
be fetched e.g.
```shell
$ kubectl logs kube-dns-v3-7r1l9 etcd
2015/06/23 00:43:10 etcdserver: start to snapshot (applied: 30003, lastsnap: 20002)
2015/06/23 00:43:10 etcdserver: compacted log at index 30003
2015/06/23 00:43:10 etcdserver: saved snapshot at index 30003
2015/06/23 02:05:42 etcdserver: start to snapshot (applied: 40004, lastsnap: 30003)
2015/06/23 02:05:42 etcdserver: compacted log at index 40004
2015/06/23 02:05:42 etcdserver: saved snapshot at index 40004
2015/06/23 03:28:31 etcdserver: start to snapshot (applied: 50005, lastsnap: 40004)
2015/06/23 03:28:31 etcdserver: compacted log at index 50005
2015/06/23 03:28:31 etcdserver: saved snapshot at index 50005
2015/06/23 03:28:56 filePurge: successfully removed file default.etcd/member/wal/0000000000000000-0000000000000000.wal
2015/06/23 04:51:03 etcdserver: start to snapshot (applied: 60006, lastsnap: 50005)
2015/06/23 04:51:03 etcdserver: compacted log at index 60006
2015/06/23 04:51:03 etcdserver: saved snapshot at index 60006
...
```
## Cluster level logging to Google Cloud Logging
The getting started guide [Cluster Level Logging to Google Cloud Logging](/docs/getting-started-guides/logging)
explains how container logs are ingested into [Google Cloud Logging](https://cloud.google.com/logging/docs/)
and shows how to query the ingested logs.
## Cluster level logging with Elasticsearch and Kibana
The getting started guide [Cluster Level Logging with Elasticsearch and Kibana](/docs/getting-started-guides/logging-elasticsearch)
describes how to ingest cluster level logs into Elasticsearch and view them using Kibana.
## Ingesting Application Log Files
Cluster level logging only collects the standard output and standard error output of the applications
running in containers. The guide [Collecting log files from within containers with Fluentd and sending them to the Google Cloud Logging service](https://github.com/kubernetes/contrib/blob/master/logging/fluentd-sidecar-gcp/README.md) explains how the log files of applications can also be ingested into Google Cloud logging.
## Known issues
Kubernetes does log rotation for Kubernetes components and docker containers. The command `kubectl logs` currently only read the latest logs, not all historical ones.