Errors from staticcheck:
pkg/proxy/healthcheck/proxier_health.go:55:2: field port is unused (U1000)
pkg/proxy/healthcheck/proxier_health.go:162:20: printf-style function with dynamic format string and no further arguments should use print-style function instead (SA1006)
pkg/proxy/healthcheck/service_health.go:166:20: printf-style function with dynamic format string and no further arguments should use print-style function instead (SA1006)
pkg/proxy/iptables/proxier.go:737:2: this value of args is never used (SA4006)
pkg/proxy/iptables/proxier.go:737:15: this result of append is never used, except maybe in other appends (SA4010)
pkg/proxy/iptables/proxier.go:1287:28: this result of append is never used, except maybe in other appends (SA4010)
pkg/proxy/userspace/proxysocket.go:293:3: this value of n is never used (SA4006)
pkg/proxy/winkernel/metrics.go:74:6: func sinceInMicroseconds is unused (U1000)
pkg/proxy/winkernel/metrics.go:79:6: func sinceInSeconds is unused (U1000)
pkg/proxy/winuserspace/proxier.go:94:2: field portMapMutex is unused (U1000)
pkg/proxy/winuserspace/proxier.go:118:2: field owner is unused (U1000)
pkg/proxy/winuserspace/proxier.go:119:2: field socket is unused (U1000)
pkg/proxy/winuserspace/proxysocket.go:620:4: this value of n is never used (SA4006)
This reverts commit 1ca0ffeaf2.
kube-proxy is not recreating the rules associated to the
KUBE-MARK-DROP chain, that is created by the kubelet.
Is preferrable avoid the dependency between the kubelet and
kube-proxy and that each of them handle their own rules.
This includes IPv4 and IPv6 address types and IPVS dual stack support.
Importantly this ensures that EndpointSlices with a FQDN address type
are not processed by kube-proxy.
Computing EndpointChanges is a relatively expensive operation for
kube-proxy when Endpoint Slices are used. This had been computed on
every EndpointSlice update which became quite inefficient at high levels
of scale when multiple EndpointSlice update events would be triggered
before a syncProxyRules call.
Profiling results showed that computing this on each update could
consume ~80% of total kube-proxy CPU utilization at high levels of
scale. This change reduced that to as little as 3% of total kube-proxy
utilization at high levels of scale.
It's worth noting that the difference is minimal when there is a 1:1
relationship between EndpointSlice updates and proxier syncs. This is
primarily beneficial when there are many EndpointSlice updates between
proxier sync loops.
