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Insufficient ephemeral storage in EKS clusters
eksctl, the volume size for each node will be of 20Gb by default.
However, with large images this may not be enough.
This is discussed at length on this
thread in the
When this happens, pods usually start to get evicted.
If you run
kubectl describe on any of these pods, you should be able to see
not enough ephemeral storage.
You should also be able to see some
DiskPressure events on the output of
kubectl describe nodes.
To fix it, it should be enough to increase the available space.
eksctl, you can do so by tweaking the
nodeGroups config and adding a
For instance, to change the volume to 100Gb you could do the following in your
apiVersion: eksctl.io/v1alpha5 kind: ClusterConfig ... nodeGroups: - volumeSize: 100 volumeType: gp2 ...
Elastic Queue Capacity
If request logging is used with a high throughput then it’s possible to hit a
rejected execution of processing error in the logger.
This comes with a
queue capacity message.
To address this the
thread_pool.write.queue_size needs to be increased.
For example, with the elastic helm chart this could be:
esConfig: elasticsearch.yml: | thread_pool.write.queue_size: 2000
Request Logs Entries Missing
Sometimes requests fail to appear in the request logs. Often this is a problem with the request logger setup. If so see the request logging docs.
Sometimes we see this error in the request logger logs:
RequestError(400, 'illegal_argument_exception', 'mapper [request.instance] cannot be changed from type [long] to [float]')
What happens here is elastic has inferred the type of the fields in the request for the model’s index. This is inferred on the first request and if it changes or is inferred incorrectly this has to be addressed manually.
The best thing to do here is to delete the index.
First port-forward elastic. If the example elastic is used then this is
kubectl port-forward -n seldon-logs svc/elasticsearch-opendistro-es-client-service 9200.
To delete the index we need to know its name. These follow a pattern. The pattern is:
default unless there’s a canary.
You can also see indexes in kibana (in a trial install on /kibana/) or using the elastic API
Then delete the index with a curl. If the auth is
admin/admin and there’s a
cifar10 seldon model in a namespace also called
seldon then it’s
curl -k -v -XDELETE https://admin:admin@localhost:9200/inference-log-seldon-seldon-cifar10-default
See the auth section for debugging tips.
See the knative install section for how verify knative.
For Seldon Core and for KFServing debugging, it is best to see their respective docs.
In our demos we load models from google storage buckets. In the model logs we sometimes see this:
Compute Engine Metadata server unavailable onattempt
This is a known google storage issue but does not cause failures. Treat as a warning.