The load is random, but the distribution should be approximately equal for non-trivial loads. E.g. when we run tests for 1000 requests you can see it is close to equal.
How unequal is it? Are you using session affinity? On Fri, Apr 13, 2018, 10:34 AM Cristian Cocheci <cristian.coch...@gmail.com> wrote: > > Thank you Sunil, but the LoadBalancer type is used for exposing the > service externally, which I don't need. All I need is my service exposed > inside the cluster. > > > On Fri, Apr 13, 2018 at 10:30 AM, Sunil Bhai <placid.b...@gmail.com> > wrote: > >> HI, >> >> >> >> Check this once : >> >> >> >> >> https://kubernetes.io/docs/tasks/access-application-cluster/load-balance-access-application-cluster/ >> >> >> >> >> >> https://kubernetes.io/docs/concepts/services-networking/service/ >> >> >> >> >> >> >> >> Sent from Mail <https://go.microsoft.com/fwlink/?LinkId=550986> for >> Windows 10 >> >> >> >> *From: *cristian.coch...@gmail.com >> *Sent: *Friday, April 13, 2018 7:11 PM >> *To: *Kubernetes user discussion and Q&A >> <kubernetes-users@googlegroups.com> >> *Subject: *[kubernetes-users] ClusterIP service not distributing >> requests evenlyamong pods in Google Kubernetes Engine >> >> >> >> >> >> I have a ClusterIP service in my cluster with 4 pods behind it. I noticed >> that requests to the service are not evenly distributed among pods. After >> further reading I learned that the kube-proxy pod is responsible for >> setting up the iptables rules that forward requests to the pods. After >> logging into the kube-proxy pod and listing the nat table rules, this is >> what I got: >> >> >> >> Chain KUBE-SVC-4F4JXO37LX4IKRUC (1 references) >> >> target prot opt source destination >> >> KUBE-SEP-6X4IVU3LDAAZJUPD all -- 0.0.0.0/0 0.0.0.0/0 >> /* default/btm-calculator: */ statistic mode random probability >> 0.25000000000 >> >> KUBE-SEP-TXRPWWIIUWW3MNFH all -- 0.0.0.0/0 0.0.0.0/0 >> /* default/btm-calculator: */ statistic mode random probability >> 0.33332999982 >> >> KUBE-SEP-HW6SF2LJM4S7X5ZN all -- 0.0.0.0/0 0.0.0.0/0 >> /* default/btm-calculator: */ statistic mode random probability >> 0.50000000000 >> >> KUBE-SEP-TTJKD52QZSH2OH4O all -- 0.0.0.0/0 0.0.0.0/0 >> /* default/btm-calculator: */ >> >> >> >> The comments seem to suggest that the load is balanced according to the >> static mode random probability with an uneven probability distribution. Is >> this how it's supposed to work? Every piece of documentation that I read >> about load balancing by a ClusterIP service indicates that it should be >> round robin. Obviously this is not the case here. >> >> Is there a way to set a ClusterIP to perform round robin load balancing? >> >> >> >> Thank you, >> >> Cristian >> >> >> >> -- >> >> You received this message because you are subscribed to the Google Groups >> "Kubernetes user discussion and Q&A" group. >> >> To unsubscribe from this group and stop receiving emails from it, send an >> email to kubernetes-users+unsubscr...@googlegroups.com. >> >> To post to this group, send email to kubernetes-users@googlegroups.com. >> >> Visit this group at https://groups.google.com/group/kubernetes-users. >> >> For more options, visit https://groups.google.com/d/optout. >> >> >> > > -- > You received this message because you are subscribed to the Google Groups > "Kubernetes user discussion and Q&A" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to kubernetes-users+unsubscr...@googlegroups.com. > To post to this group, send email to kubernetes-users@googlegroups.com. > Visit this group at https://groups.google.com/group/kubernetes-users. > For more options, visit https://groups.google.com/d/optout. > -- You received this message because you are subscribed to the Google Groups "Kubernetes user discussion and Q&A" group. To unsubscribe from this group and stop receiving emails from it, send an email to kubernetes-users+unsubscr...@googlegroups.com. To post to this group, send email to kubernetes-users@googlegroups.com. Visit this group at https://groups.google.com/group/kubernetes-users. For more options, visit https://groups.google.com/d/optout.
