This allows the proxier to cache local addresses instead of fetching all
local addresses every time in IsLocalIP.
Signed-off-by: Andrew Sy Kim <kiman@vmware.com>
This avoids fetching all local network interfaces everytime we sync an
external IP. For clusters with many external IPs this gets really
expensive. This change caches all local addresses once per sync.
Signed-off-by: Andrew Sy Kim <kiman@vmware.com>
This avoids fetching all local network interfaces everytime we sync an
external IP. For clusters with many external IPs this gets really
expensive. This change caches all local addresses once per sync.
Signed-off-by: Andrew Sy Kim <kiman@vmware.com>
kube-proxy, if is configured with an IP family, filters out the
incorrect IP version of the services.
This commit fix a bug caused by not filtering out the IPs in the
LoadBalancer Status Ingress field.
kube-proxy was not validating correctly the clusterCIDRs, if
dual-stack it MAY have 1 or more clusterCIDRs. If it has 2 cidrs and
at least one of each IP family.
It also fixes a bug where validation was not taking into account
the feature gates global state.
This creates a new EndpointSliceProxying feature gate to cover EndpointSlice
consumption (kube-proxy) and allow the existing EndpointSlice feature gate to
focus on EndpointSlice production only. Along with that addition, this enables
the EndpointSlice feature gate by default, now only affecting the controller.
The rationale here is that it's really difficult to guarantee all EndpointSlices
are created in a cluster upgrade process before kube-proxy attempts to consume
them. Although masters are generally upgraded before nodes, and in most cases,
the controller would have enough time to create EndpointSlices before a new node
with kube-proxy spun up, there are plenty of edge cases where that might not be
the case. The primary limitation on EndpointSlice creation is the API rate limit
of 20QPS. In clusters with a lot of endpoints and/or with a lot of other API
requests, it could be difficult to create all the EndpointSlices before a new
node with kube-proxy targeting EndpointSlices spun up.
Separating this into 2 feature gates allows for a more gradual rollout with the
EndpointSlice controller being enabled by default in 1.18, and EndpointSlices
for kube-proxy being enabled by default in the next release.
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.
Until now, iptables probabilities had 5 decimal places of granularity.
That meant that probabilities would start to repeat once a Service
had 319 or more endpoints.
This doubles the granularity to 10 decimal places, ensuring that
probabilities will not repeat until a Service reaches 100,223 endpoints.
The proxy healthz server assumed that kube-proxy would regularly call
UpdateTimestamp() even when nothing changed, but that's no longer
true. Fix it to only report unhealthiness when updates have been
received from the apiserver but not promptly pushed out to
iptables/ipvs.
Kube-proxy runs two different health servers; one for monitoring the
health of kube-proxy itself, and one for monitoring the health of
specific services. Rename them to "ProxierHealthServer" and
"ServiceHealthServer" to make this clearer, and do a bit of API
cleanup too.
The detectStaleConnections function in kube-proxy is very expensive in
terms of CPU utilization. The results of this function are only actually
used for UDP ports. This adds a protocol attribute to ServicePortName to
make it simple to only run this function for UDP connections. For
clusters with primarily TCP connections this can improve kube-proxy
performance by 2x.
The .IP() call that was previously used for sorting resulted in a call
to netutil to parse an IP out of an IP:Port string. This was very slow
and resulted in this sort taking up ~50% of total CPU util for
kube-proxy.
Kubelet and kube-proxy both had loops to ensure that their iptables
rules didn't get deleted, by repeatedly recreating them. But on
systems with lots of iptables rules (ie, thousands of services), this
can be very slow (and thus might end up holding the iptables lock for
several seconds, blocking other operations, etc).
The specific threat that they need to worry about is
firewall-management commands that flush *all* dynamic iptables rules.
So add a new iptables.Monitor() function that handles this by creating
iptables-flush canaries and only triggering a full rule reload after
noticing that someone has deleted those chains.
