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Docs: Fix typos in k8s user-guide

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Jonas Bröms 2018-02-21 17:34:04 +01:00 committed by Traefiker Bot
parent 21e28ae848
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16
docs/user-guide/kubernetes.md
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@ -81,7 +81,7 @@ For namespaced restrictions, one RoleBinding is required per watched namespace a
It is possible to use Træfik with a [Deployment](https://kubernetes.io/docs/concepts/workloads/controllers/deployment/) or a [DaemonSet](https://kubernetes.io/docs/concepts/workloads/controllers/daemonset/) object,
whereas both options have their own pros and cons:
- The scalability is much better when using a Deployment, because you will have a Single-Pod-per-Node model when using the DeaemonSet.
- The scalability is much better when using a Deployment, because you will have a Single-Pod-per-Node model when using the DaemonSet.
- It is possible to exclusively run a Service on a dedicated set of machines using taints and tolerations with a DaemonSet.
- On the other hand the DaemonSet allows you to access any Node directly on Port 80 and 443, where you have to setup a [Service](https://kubernetes.io/docs/concepts/services-networking/service/) object with a Deployment.
@ -244,7 +244,7 @@ traefik-ingress-controller-678226159-eqseo 1/1 Running 0 7m
```
You should see that after submitting the Deployment or DaemonSet to Kubernetes it has launched a Pod, and it is now running.
_It might take a few moments for kubernetes to pull the Træfik image and start the container._
_It might take a few moments for Kubernetes to pull the Træfik image and start the container._
!!! note
You could also check the deployment with the Kubernetes dashboard, run
@ -279,7 +279,7 @@ All further examples below assume a DaemonSet installation. Deployment users wil
## Deploy Træfik using Helm Chart
!!! note
The Helm Chart is maintained by the community, not the Traefik project maintainers.
The Helm Chart is maintained by the community, not the Træfik project maintainers.
Instead of installing Træfik via Kubernetes object directly, you can also use the Træfik Helm chart.
@ -369,7 +369,7 @@ spec:
secretName: traefik-ui-tls-cert
```
In addition to the modified ingress you need to provide the TLS certificate via a kubernetes secret in the same namespace as the ingress. The following two commands will generate a new certificate and create a secret containing the key and cert files.
In addition to the modified ingress you need to provide the TLS certificate via a Kubernetes secret in the same namespace as the ingress. The following two commands will generate a new certificate and create a secret containing the key and cert files.
```shell
openssl req -x509 -nodes -days 365 -newkey rsa:2048 -keyout tls.key -out tls.crt -subj "/CN=traefik-ui.minikube"
@ -379,7 +379,7 @@ kubectl -n kube-system create secret tls traefik-ui-tls-cert --key=tls.key --cer
If there are any errors while loading the TLS section of an ingress, the whole ingress will be skipped.
!!! note
The secret must have two entries named `tls.key`and `tls.crt`. See the [kubernetes documentation](https://kubernetes.io/docs/concepts/services-networking/ingress/#tls) for more details.
The secret must have two entries named `tls.key`and `tls.crt`. See the [Kubernetes documentation](https://kubernetes.io/docs/concepts/services-networking/ingress/#tls) for more details.
!!! note
The TLS certificates will be added to all entrypoints defined by the ingress annotation `traefik.frontend.entryPoints`. If no such annotation is provided, the TLS certificates will be added to all TLS-enabled `defaultEntryPoints`.
@ -389,7 +389,7 @@ If there are any errors while loading the TLS section of an ingress, the whole i
## Basic Authentication
It's possible to protect access to Traefik through basic authentication. (See the [Kubernetes Ingress](/configuration/backends/kubernetes) configuration page for syntactical details and restrictions.)
It's possible to protect access to Træfik through basic authentication. (See the [Kubernetes Ingress](/configuration/backends/kubernetes) configuration page for syntactical details and restrictions.)
### Creating the Secret
@ -842,7 +842,7 @@ The examples shown deliberately do not specify any [resource limitations](https:
In a production environment, however, it is important to set proper bounds, especially with regards to CPU:
- too strict and Traefik will be throttled while serving requests (as Kubernetes imposes hard quotas)
- too loose and Traefik may waste resources not available for other containers
- too strict and Træfik will be throttled while serving requests (as Kubernetes imposes hard quotas)
- too loose and Træfik may waste resources not available for other containers
When in doubt, you should measure your resource needs, and adjust requests and limits accordingly.