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This article introduces the "Kubernetes Endpoints Controller source code analysis" related knowledge, in the actual case operation process, many people will encounter such a dilemma, and then let the editor lead you to learn how to deal with these situations! I hope you can read it carefully and be able to achieve something!

Configuration items related to Endpoints Controller

Concurrent-endpoint-syncs int32 Default: 5 The number of endpoint syncing operations that will be done concurrently. Larger number = faster endpoint updating, but more CPU (and network) load.

Leader-elect-resource-lock endpoints Default: "endpoints" The type of resource object that is used for locking during leader election. Supported options are endpoints (default) and configmaps.

GVK of Endpoints Controller Watch

Core/V1/Pods

Core/V1/Services

Core/V1/Endpoints

Endpoints Controller Event Handler

Add Service Event-- > enqueueService

Update Service Event-- > enqueueService (new)

Delete Service Event-- > enqueueService

Add Pod Event-- > addPod

Update Pod Event-- > updatePod

Delete Pod Event-- > deletePod

Add/Update/Delete Endpoints Event-- > nil

Run Endpoints Controller

Start two types of go protocols:

The number of cooperators is-- concurrent-endpoint-syncs configuration value (default 5). Each worker is responsible for syncService synchronization from pop service in service queue. After completing a sync, wait 1 s and then pop a service from service queue for sync, and so on.

The other type of co-program has only one co-program, which is responsible for checkLeftoverEndpoints and is executed only once when it is started.

/ / Run will not return until stopCh is closed. Workers determines how many// endpoints will be handled in parallel.func (e * EndpointController) Run (workers int, stopCh)

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