Change:
serviceUpdateResult := proxier.serviceMap.Update(proxier.serviceChanges) endpointUpdateResult := proxier.endpointsMap.Update(proxier.endpointsChanges) <del> staleServices := serviceUpdateResult.UDPStaleClusterIP </del> <ins> // We need to detect stale connections to UDP Services so we // can clean dangling conntrack entries that can blackhole traffic. conntrackCleanupServiceIPs := serviceUpdateResult.UDPStaleClusterIP conntrackCleanupServiceNodePorts := sets.NewInt() </ins> // merge stale services gathered from updateEndpointsMap <ins> // an UDP service that changes from 0 to non-0 endpoints is considered stale. </ins> for _, svcPortName := range endpointUpdateResult.StaleServiceNames { if svcInfo, ok := proxier.serviceMap[svcPortName]; ok && svcInfo != nil && conntrack.IsClearConntrackNeeded(svcInfo.Protocol()) { klog.V(2).InfoS("Stale service", "protocol", strings.ToLower(string(svcInfo.Protocol())), "svcPortName", svcPortName.String(), "clusterIP", svcInfo.ClusterIP().String()) <del> staleServices.Insert(svcInfo.ClusterIP().String()) </del> <ins> conntrackCleanupServiceIPs.Insert(svcInfo.ClusterIP().String()) </ins> for _, extIP := range svcInfo.ExternalIPStrings() { <del> staleServices.Insert(extIP) </del> <ins> conntrackCleanupServiceIPs.Insert(extIP) } nodePort := svcInfo.NodePort() if svcInfo.Protocol() == v1.ProtocolUDP && nodePort != 0 { klog.V(2).Infof("Stale %s service NodePort %v -> %d", strings.ToLower(string(svcInfo.Protocol())), svcPortName, nodePort) conntrackCleanupServiceNodePorts.Insert(nodePort) </ins> } } }

Discussion:
Which jobs are flaking: ci-kubernetes-e2e-gce-scale-correctness Which test(s) are flaking: [sig-network] Services should be able to preserve UDP traffic when server pod cycles for a NodePort service Testgrid link: https://k8s- Reason for failure: /sig network /assign
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CRI-O CI is also hitting this failure. We have been unable to reproduce locally. our CI runs on aws
hmm, I only see 1 failure out of 4 and seems that the connectivity didn't work at all
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/assign
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/cc Saw the test flaking recently: Wondering if this is just a timeout issue.

Maybe we can increase the timeout and/or switch to a TCP based test:
the test should use UDP, and UDP is unreliable by definition ... however is curious that most of the failures happen because it is not able to communicate with the first pod I think that is something that should be investigated, I've analyzed some occurences and it works fine for the second pod, however, the UDP losses should be totally random
Hi everyone, yeah so.. collecting some data on this... using a two node kind cluster, locally, with the antrea plugin, it passes using a 4 node AWS cluster with the antrea CNI plugin, it failed using a two node kidn cluster locally with calico, it passes So I guess the best reproducer is to run these tests, for now, in the cloud.... Now that I have a reproducer for this maybe can live debug it some time next wk with one of yall :)
bear in mind that this test is connecting to a nodePort in the node IP, the test is functionally correct, it may be flaky due to the unreliable UDP nature or due to the pod scheduling, but if is failing constantly it has to be environmental.
Second failure after two weeks of green 5k runs:
yep, :/ https://k8s-|UDP /assign
/reopen I'm afraid this is going to be challenging :smile: The difference now is that we are testing NodePort and ClusterIP If both fail, we can blame the test for sure, If only NodePort fails, we need to check the job, if GCE or KIND If only ClusterIP fails, ... :thinking:
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We're hitting this really frequently in 5k-node tests. So I started looking a little bit into that.

I don't have full understanding of what exactly is happening, but I already see a couple things that may be causing issues: when creating the first pod, you wait for corresponding endpoint for that being created; but that doesn't mean that kube-proxy was actually programmed correctly at that time (in general it isn't); given iptables programming is rate-limitted, it may easily happen that actually programming happens 10s+ later That explains some delays, but it doesn't explain e.g. this run: where iptables were programmed at but the test didn't respond until If someone more familiar with networking stuff could look into it, it would be great. - can you help triaging ^^ for deletions it's even worse, because you don't even wait for endpoints to be there (i.e. Endpoints can still contain the old pod when the test start pinging to look for the second one) So I claim that timeouts are visibly to low in this test, but I suspect it's not everything. I will send out the first PR that tries to improve it in couple minutes.
thanks wojtek, have been slammed but Ill try to collect more data on it this wknd as well.
It seems that my PR didn't really help much. We should dig deeper, but I would need someone with more networking expertise to look a bit into
Actually - it seems only failures from one group are on non . So maybe that's actually related. The non-kind related ones look like:
OK - for this one, I actually know what is happening - I will send out a PR with a fix for this too.
for the KIND jobs already increased the resource requests on some of the jobs, there are issues on KIND jobs with kube-proxy not able to take the iptables lock and not being able to create the iptables rules for the services until the next resync
is to fix the flakes I mentioned above; all other flakes seem to be kind-oriented to me (which I'm not super familiar with).
We did not adjust the CPU on all jobs yet, pending how to manage that on prow ... I do see just a few other flakes at the bottom of the triage dashboard that look like timeouts instead.
Actually - almost all failures are effectively timeout. The top one that is is actually also a timeout. Didn't look into kind failures, but this may easily be related to iptables issues.

After my second deflaking PR, we seem to be in the stage where: tests are failing on dozens of different things (probably iptables-issues related) tests are failing only on NodePort tests on "Failed to connecto to backend 1" which it would be great if someone else could look into (kube-proxy seemed to be programmed correctly based on logs)
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This has failed again - Linking to specific part of log where timeout occurred .... we see this
So reviewing the above logs note how in STEP: checking client pod connected to the backend 1 on Node IP 10.138.0.5 28 attempts are made all in the 25th second of the 2 minute at 11am Should this Step back off and wait a few seconds in between tries? So looking at this code we see the following
From reading ... the intention expressed in the test code looks good to me. It is not clear to me why there is a mismatch between the 28 tries in the POD Client Logs and the expressed intention running the logContainsFn(podBackend1) every 5 seconds still digging ....
we are trying to catch one failure in this PR that has additional debugging, it dumps the conntrack table of the nodes on a failure
for those following the issue, we've extra debugging to the test so it dumps the whole conntrack table once it finish. We should look that there is NO stale entries, connections from the pod client to the deleted endpoint) and there is conntrack entries to the new endpoint from the pod client.
- we have runs with the conntrack dump now, e.g. this one: would you be able to take a look into it?
not yet :/ , but I think tomorrow can have some time
cc
For anyone reproducing this issue btw, you need a multinode k8s cluster (it isnt doable on kind i guess bc less likeliehood of network failures when running local) -
Curious about two potential hypotheses to fix this, have we looked into either of these? 1) can we confirm that is turned on/off? 2) is it possible that scaling the number of coredns replicas could help ?

3) Would simulating this in kind by overloading coredns be a possibility as a way to make a more reproducible bug model?
regarding 1) kubeadm does not ship nodeLocalDNSCache I don't think GCE kube-up does by default either
ok, so now im curious about (2) - i.e. what if we just bumped coredns replica count?
interesting, :thinking: why do you think is a DNS thing? the netcat command that polls the services use the IP addresses not the hostname. I think that it has to be related to some iptables/conntrack race or similar,at least in KIND jobs we know that we have an iptables problem that affects network tests, that has to be fixed before this because it affect this test You can instrument the test locally with this and dump the state of iptables and conntrack on failure if you are able to reproduce it
i figured DNS bc i believe its known that conntrack and DNS at scale can get very messy, right ?
one other curious thing about this test is that we only create 2 pods in the recycling event for the svc. that likely means that any real error is hidden by chance..... If we created a 3rd pod, then we might potentially double the failure rate thus making the flakyness go away and expose the real underlying issue .
There's an invocation of dumpConntrack(cs) here [sig-network] Conntrack should be able to preserve UDP traffic when server pod cycles for a ClusterIP service
is updating the logging to run in an infinite loop ..
This is improving in KIND with the new changes we rolled out yesterday, let's see how it evolves this week
- which changes ? Are you saying this is no longer reproducible on Kind?
there was a lot of noise in the CI signal, especially in KIND jobs due to the CNI portmap bug we finally solved yesterday now we should have a better signal and we can go to the bottom because probably the failure will be "legit" and not a consequence, so this comment should apply
Hi ! I ran this a few times on kind and it passed, but I see , so I'm going to try the loop approach you suggested. Here's what I'm using to test:
quick note, <- potential motivation to possibly have runnable on some subset of tests in upstream eventually, i.e.

so we can do things like to reproduce this sort of thing. matt did you get around to the 'try-till-it-fails' scenario?
I haven't been able to get it to fail on kind yet, -- 100 cycles and 0 failures on a three-node kind cluster! I'm letting the loop run for a few hours, will check back in when I have that data. Is it worth running this test on a non-kind environment?
I ran for several hours on my mac, through 1144 iterations no error yet. My conclusion: this test isn't flaky on KinD. Possible next step: run a large number of iterations of the same test on a GKE cluster.
Flakes on kind are also happening:
not many since the portmap fix on the 14th though ( / ) <img width="1111" alt="Screen Shot 2020-07-23 at 11 45 46 PM" src="https://user-"
Agree - it's much better than it was before.
I was analyzing this failure, the problem is that kind jobs does not have verbosity enough in kube-proxy We can see that the packet was never replied, this is the NAT entry from client -nodePort in the node with the client This is the same flow, but in the node with the server and the pod-server-1 seems to be healthy we need more logs :eyeglasses:
We have an open ticket to bump those in CI, it's just been lost in the noise. We should still do that. Antonio Ojea <:
If you are busy just assign it to me, I'll need this verbosity soon :)
It's in the kind repo, shouldn't be too hard to find, we have ~60 open atm. Antonio Ojea <:
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I made another attempt to reproduce these failures locally on KinD, but still no success. Here's what I did: create a KinD cluster run two instances of sonobuoy at the same time This took ~4 hours to run; all the kube tests passed and sonobuoy reported all successes.

Would love to help out in reproing this, I'm at a loss for good next step so any suggestions welcome!
that's the problem with these flakes, they are not easy to repro, and with this low rate of failures it may be caused for combination of running tests, environmental problems (cpu, memory, ...) , ... I always start for checking the current failures and try to find patterns
Let's take a look to one occurrence The tests fails because can't connect to the first pod If we check the code of the tests, we can see that it always uses the port as source port, we can use that to identify the nodePort assigned interesting thing here, we are source nating the pod ip, and we don't see any other conntrack entry The test verifies it has endpoints however, kube-proxy is using endpointlsices since this version but it has no entries so the iptables rules to forward the traffic are not there Seems we have to adapt this function in the e2e framework to use endpointslices cc: EDIT seems that this function is being used by all the network tests that can cause flakes if the endpoint is updated before the endpointslice (we switched recently kube-proxy to use the later)
Great catch. Ideally this function should validate if both Endpoint and appropriate EndpointSlice objects(s) exist.
Actually - let me take it and send a PR for it.
is out for review
Interesting failures here It fails to connect to the first pod
Hmm - I took a quick look at kube-proxy logs and these look fine to me....
I clicked too fast, sorry ... I was looking at the wrong service and I though I've found something
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just saw it as well
can you please add links to the job with the failures, I just merged new code to improve the logging 2 days ago
ok, here there is a new occurrence and with the new debug logs is easier to follow has unreplied conntrack entries: looking at the other side The iptables rules are there but no conntrack entries related to 10.244.2.32
In I revert PR with debug info as I think that it likely caused significant memory growth in scalability tests, but we have one run that has finished without being killed by OOMKiller (I increased memory limit for that jobs as a mitigation). Maybe logs from this run will be useful for debugging:
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Two more flakes today:
It seems that the packet never gets DNATed in the receiving host, so it does not reach the pod in the node. There is the same test that is using ClusterIP instead of NodePort that is more reliable. This is being a tough one
/triage accepted
Yesterday's flake - I don't think I'm seeing the log messages from the latest log PR you made ? Or are the prow logs not logging at a high-enough level?
Logs are there, please bear with me: The error on the test is: click on the job failure and you'll see a larger output where you can see the server pod name and get the node where the pod is running: and the client-pod name and its node: and the flow we are looking for: with the node-name we can get the kube-proxy logs there, clicking in artifacts: and you can see the "new" conntrack log entries : and in the client: wow, there is a kernel bug there , can it be related? :thinking:
wohoo - some progress :) I'm not an expert here, but I think it can be? Adding here - they may be able to confirm/reject the hypothesis.
This kernel panic may be a coincidence, maybe this is the reason
Adding some recent failures:
Spotted another flake today:
Another flake in the 5k job: