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kubeflow-kfserving

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13 Oct 2021
@_slack_kubeflow_U015DQVPBR7:matrix.orgMarcin Jimenez joined the room.14:57:30
@_slack_kubeflow_U015DQVPBR7:matrix.orgMarcin Jimenez what is the recommended strategy on upgrades from 0.5 to 0.6 and beyond? 14:57:30
@_slack_kubeflow_UFVUV2UFP:matrix.orgDan Sun There will be no community meeting today, we have Kubecon talk for KServe today at 2:30pm PDT Serving Machine Learning Models at Scale Using KServe - Animesh Singh, IBM 15:20:08
@_slack_kubeflow_UAYJJUQJZ:matrix.orgtheofpa joined the room.15:34:53
@_slack_kubeflow_UM56LA7N3:matrix.orgBenjamin Tan joined the room.15:40:36
@_slack_kubeflow_UM56LA7N3:matrix.orgBenjamin Tan I must be doing something wrong but I still haven't figured this out: I have Kubeflow set up on a private GKE (so https everything), but I want to have my Knative models not have to go through Dex. I've tried setting up an additional Istio Ingress but keep hitting into various problems (IngressNotConfigured, not being able to curl with the new domain etc) 15:42:19
@_slack_kubeflow_UM56LA7N3:matrix.orgBenjamin Tan Is there an easier way to bypass Auth for Knative? 15:42:39
@_slack_kubeflow_UM56LA7N3:matrix.orgBenjamin Tan And if I bypass it, does it still go through https? 15:45:42
@_slack_kubeflow_U0127AUTPMH:matrix.orgNick joined the room.15:51:18
@_slack_kubeflow_U0104H1616Z:matrix.orgiamlovingit joined the room.15:55:14
@_slack_kubeflow_UM56LA7N3:matrix.orgBenjamin Tan Otherwise, I would be interested in how other foiks handle this 15:56:02
@_slack_kubeflow_UFVUV2UFP:matrix.orgDan Sun
In reply to@_slack_kubeflow_UM56LA7N3:matrix.org
Otherwise, I would be interested in how other foiks handle this
Benjamin Tan if you have describe your setup in more details I can help out to trouble shooting, we have setup this before so pretty sure it should work
16:26:32
@_slack_kubeflow_U0127AUTPMH:matrix.orgNick
In reply to@_slack_kubeflow_UFVUV2UFP:matrix.org
There will be no community meeting today, we have Kubecon talk for KServe today at 2:30pm PDT Serving Machine Learning Models at Scale Using KServe - Animesh Singh, IBM
Dan Sun actually I think itโ€™s 2.30pm tomorrow https://kccncna2021.sched.com/event/lV2s/serving-machine-learning-models-at-scale-using-kserve-animesh-singh-ibm?iframe=no
18:11:35
@_slack_kubeflow_U0113251MGS:matrix.orgPeilun Li joined the room.18:44:29
@_slack_kubeflow_U0113251MGS:matrix.orgPeilun Li So I guess we have to: 1. First upgrade our manifest from 0.5 to 0.6 (without changing existing services -- still on 0.5) 2. Then install 0.7 manifest to the cluster 3. Meanwhile for new service deployment we can deploy with 0.7 directly, while the old 0.5 deployments are still controlled by 0.6. 4. Finally use the migration job to migrate existing 0.5 services (controlled by 0.6) to 0.7's api group and controller. Would that be a working path? 18:44:29
@_slack_kubeflow_U0113251MGS:matrix.orgPeilun Li
In reply toundefined
(edited) ... controller. Would ... => ... controller. 5. Delete the 0.6 manifest afterwards. Would ...
18:49:12
@_slack_kubeflow_UFVUV2UFP:matrix.orgDan Sun
In reply to@_slack_kubeflow_U0127AUTPMH:matrix.org
Dan Sun actually I think itโ€™s 2.30pm tomorrow https://kccncna2021.sched.com/event/lV2s/serving-machine-learning-models-at-scale-using-kserve-animesh-singh-ibm?iframe=no
oops sorry my bad
19:12:04
@_slack_kubeflow_UFVUV2UFP:matrix.orgDan Sun
In reply toundefined
(edited) ... KServe today at ... => ... KServe tomorrow at ...
19:12:12
@_slack_kubeflow_UFVUV2UFP:matrix.orgDan Sun
In reply toundefined
(edited) ... tomorrow at ... => ... tomorrow 10/14 at ...
19:12:34
14 Oct 2021
@_slack_kubeflow_U02HTJ9GLKT:matrix.orgRiley Greenimage.png
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02:35:49
@_slack_kubeflow_U02HTJ9GLKT:matrix.orgRiley Green Hi, I have installed Kubeflow 1.4 from manifests and I tried to deploy the sklearn-iris predictor sample and I am getting the following error: Any ideas on a way forward? Many thanks ๐Ÿ™ 02:35:49
@_slack_kubeflow_U02HA8R0NQ7:matrix.orgZ Omari joined the room.03:21:00
@_slack_kubeflow_UFVUV2UFP:matrix.orgDan Sun Suresh Nakkiran I do not see any reason why we can't go from 0.5.0 to 0.7.0 as long as the version supports v1beta1 API and you are still using the same version of istiod/knative 05:02:24
@_slack_kubeflow_UFVUV2UFP:matrix.orgDan Sun actually to be precise if your istio/knative version meets the min requirement of kserve 0.7 then the migration path from 0.5 to 0.7 should work in my mind, but we will test out to make sure 05:14:18
@_slack_kubeflow_UFVUV2UFP:matrix.orgDan Sun Peilun Li what's your istio/knative version used along side with KFS 0.5 05:15:35
@_slack_kubeflow_UFVUV2UFP:matrix.orgDan Sun
In reply toundefined
(edited) ... KFS 0.5 => ... KFS 0.5?
05:15:39
@_slack_kubeflow_U02AF95BSUF:matrix.orgSuresh Nakkiran Dan Sun In quick install we have istio 1.6.2.. 06:21:41
@_slack_kubeflow_UFVUV2UFP:matrix.orgDan Sun we should have istio 1.9 there 06:37:30
@_slack_kubeflow_U0104H1616Z:matrix.orgiamlovingit
In reply to@_slack_kubeflow_U02HTJ9GLKT:matrix.org
Hi, I have installed Kubeflow 1.4 from manifests and I tried to deploy the sklearn-iris predictor sample and I am getting the following error: Any ideas on a way forward? Many thanks ๐Ÿ™
Riley Green Hi, can you show kfserving logs here?
08:02:04
@_slack_kubeflow_U0113251MGS:matrix.orgPeilun Li We are currently on K8S 1.19, Istio 1.8, Knative 0.17 -- Definitely some work on our end to upgrade to Istio 1.9 and Knative 0.23+ before we upgrade kserve to 0.6/0.7 16:42:16

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