Kube-proxy will add ipset entries for all node ips for an SCTP nodeport service. This will solve the problem 'SCTP nodeport service is not working for all IPs present in the node when ipvs is enabled. It is working only for node's InternalIP.'
As mentioned in issue #80061, in iptables lock contention case,
we can see increasing rate of iptables restore failures because it
need to grab iptables file lock.
The failure metric can provide administrators more insight
Metrics will be collected in kube-proxy iptables and ipvs modes
Signed-off-by: Hui Luo <luoh@vmware.com>
Kube-proxy's iptables mode used to care whether utiliptables's
EnsureRule was able to use "iptables -C" or if it had to implement it
hackily using "iptables-save". But that became irrelevant when
kube-proxy was reimplemented using "iptables-restore", and no one ever
noticed. So remove that check.
ipvs `getProxyMode` test fails on mac as `utilipvs.GetRequiredIPVSMods`
try to reach `/proc/sys/kernel/osrelease` to find version of the running
linux kernel. Linux kernel version is used to determine the list of required
kernel modules for ipvs.
Logic to determine kernel version is moved to GetKernelVersion
method in LinuxKernelHandler which implements ipvs.KernelHandler.
Mock KernelHandler is used in the test cases.
Read and parse file is converted to go function instead of execing cut.
Computing all node ips twice would always happen when no node port
addresses were explicitly set. The GetNodeAddresses call would return
two zero cidrs (ipv4 and ipv6) and we would then retrieve all node IPs
twice because the loop wouldn't break after the first time.
Also, it is possible for the user to set explicit node port addresses
including both a zero and a non-zero cidr, but this wouldn't make sense
for nodeIPs since the zero cidr would already cause nodeIPs to include
all IPs on the node.
Previously the same ip addresses would be computed for each nodePort
service and this could be CPU intensive for a large number of nodePort
services with a large number of ipaddresses on the node.
refs https://github.com/kubernetes/perf-tests/issues/640
We have too fine buckets granularity for lower latencies, at cost of the higher
latecies (7+ minutes). This is causing spikes in SLI calculated based on that
metrics.
I don't have strong opinion about actual values - those seemed to be better
matching our need. But let's have discussion about them.
Values:
0.015 s
0.030 s
0.060 s
0.120 s
0.240 s
0.480 s
0.960 s
1.920 s
3.840 s
7.680 s
15.360 s
30.720 s
61.440 s
122.880 s
245.760 s
491.520 s
983.040 s
1966.080 s
3932.160 s
7864.320 s
