The restclient metrics were updated to track only the host field of the
url, the finalURLTemplate is not longer needed, its only goal was to
replace name and namespace in the path to avoid cardinality.
Current request latency metrics have the following buckets:
0.001, 0.002, 0.004, 0.008, 0.016, 0.032, 0.064, 0.128, 0.256, 0.512
That has two much granularity for http requests, and it gets capped to
aprox half seconds, loosing visibility on the requests that may be more
interested, the ones that take more than 1 second.
Using the same used for etcd request latency, with the same upper and
lower limits than the ones used in the apiserver, but only adding one
bucket more.
[]float64{0.005, 0.025, 0.1, 0.25, 0.5, 1.0, 2.0, 4.0, 8.0, 15.0, 30.0, 60.0},
The primary use case for the allocator is to reduce cost of object serialization.
Initially it will be used by the protobuf serializer.
This approach puts less load on GC and leads to less fragmented memory in general.
It allows us to allocate a single buffer for the entire watch session and release it when a watch connection is closed.
Previously memory was allocated for every object serialization putting a lot of pressure on GC and consuming more memory than needed.
For each iptables-restore call, log the number of services, endpoints,
filter chains, filter rules, NAT chains, and NAT rules in the update
at V(2), in addition to logging the actual rules if V(9).
All of the tests used a localDetector that considered the pod IP range
to be 10.0.0.0/24, but lots of the tests used pod IPs in 10.180.0.0/16
or 10.0.1.0/24, meaning the generated iptables rules were somewhat
inconsistent. Fix this by expanding the localDetector's pod IP range
to 10.0.0.0/8. (Changing the pod IPs to all be in 10.0.0.0/24 instead
would be a much larger change since it would result in the SEP chain
names changing.)
Meanwhile, the different tests were also horribly inconsistent about
what values they used for other IPs, and some of them even used the
same IPs (or ports) for different things in the same test case. Fix
these all up and create a consistent set of IP assignments:
// Pod IPs: 10.0.0.0/8
// Service ClusterIPs: 172.30.0.0/16
// Node IPs: 192.168.0.0/24
// Local Node IP: 192.168.0.2
// Service ExternalIPs: 192.168.99.0/24
// LoadBalancer IPs: 1.2.3.4, 5.6.7.8, 9.10.11.12
// Non-cluster IPs: 203.0.113.0/24
// LB Source Range: 203.0.113.0/25
Only run assertIPTablesRuleJumps() on the expected output, not on the
actual output, since if there's a problem with the actual output, we'd
rather see it as the diff from the expected output.
In large clusters, the iptables-restore input will be tens of
thousands of lines long, and logging it at V(5) essentially means that
"kube-proxy -v=5" cannot be used in such clusters to see _other_
things that get logged at V(5), because logs will get rolled over far
too quickly. So bump the full-rules logging output down to V(9).
