github/kubernetes
1
0
Fork 0
mirror of https://github.com/k3s-io/kubernetes.git synced 2025-07-29 22:46:12 +00:00
Code Issues Projects Releases Wiki Activity

Update azure_loadbalancer.md

Browse Source 
fix typo 
incase -> in case
selction -> selection
This commit is contained in:
liaoj 2018-02-09 12:52:59 +08:00 committed by GitHub
parent 30f54b4028
commit 953cbb11a1
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 3 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
pkg/cloudprovider/providers/azure/azure_loadbalancer.md
View File

@ -9,7 +9,7 @@ Despite the ideal philosophy above, we have to face the reality. NSG depends on
And also, For Azure, we cannot afford to have more than 1 worker of service_controller. Because, different services could operate on the same LB, concurrent execution could result in conflict or unexpected result. For AWS and GCE, they apparently doesn't have the problem, they use one LB per service, no such conflict.
There are two load balancers per availability set internal and external. There is a limit on number of services that can be associated with a single load balancer.
By default primary load balancer is selected. Services can be annotated to allow auto selection of available load balancers. Service annotations can also be used to provide specific availability sets that host the load balancers. Note that in case of auto selection or specific availability set selection, when the availability set is lost incase of downtime or cluster scale down the services are currently not auto assigned to an available load balancer.
By default primary load balancer is selected. Services can be annotated to allow auto selection of available load balancers. Service annotations can also be used to provide specific availability sets that host the load balancers. Note that in case of auto selection or specific availability set selection, when the availability set is lost in case of downtime or cluster scale down the services are currently not auto assigned to an available load balancer.
Service Annotation for Auto and specific load balancer mode
- service.beta.kubernetes.io/azure-load-balancer-mode" (__auto__|as1,as2...)
@ -40,7 +40,7 @@ Service Annotation for Auto and specific load balancer mode
- getServiceLoadBalancer(service *v1.Service, clusterName string, nodes []*v1.Node, wantLb bool) (lb, status, exists, error)
- gets the loadbalancer for the service if it already exists
- If wantLb is TRUE then -it selects a new load balancer, the selction helps distribute the services across load balancers
- If wantLb is TRUE then -it selects a new load balancer, the selection helps distribute the services across load balancers
- In case the selected load balancer does not exists it returns network.LoadBalancer struct with added metadata (such as name, location) and existsLB set to FALSE
- By default - cluster default LB is returned
@ -74,4 +74,4 @@ Service Annotation for Auto and specific load balancer mode
- Reconcile LB's related and owned resources, such as FrontEndIPConfig, Rules, Probe.
- Call reconcileLoadBalancer(clusterName, service, nodes, false)
- Reconcile Public IP, public IP needs related LB reconciled first
- Call reconcilePublicIP(cluster, service, false)
- Call reconcilePublicIP(cluster, service, false)