// daemon pod and are supposed to run the daemon pod.
  // More info: https://kubernetes.io/docs/concepts/workloads/controllers/daemonset/
  optional int32 currentNumberScheduled = 1;

  // The number of nodes that are running the daemon pod, but are
  // not supposed to run the daemon pod.
  // More info: https://kubernetes.io/docs/concepts/workloads/controllers/daemonset/
  optional int32 numberMisscheduled = 2;

EOF
```

Upload this object to the bucket via `mc cp`
```
mc cp testobject myminio/functionbucket/
```

## Invoke Lambda transformation via PresignedGET

  // daemon pod and are supposed to run the daemon pod.
  // More info: https://kubernetes.io/docs/concepts/workloads/controllers/daemonset/
  optional int32 currentNumberScheduled = 1;

  // The number of nodes that are running the daemon pod, but are
  // not supposed to run the daemon pod.
  // More info: https://kubernetes.io/docs/concepts/workloads/controllers/daemonset/
  optional int32 numberMisscheduled = 2;

ENV MINIO_ACCESS_KEY_FILE=access_key \
    MINIO_SECRET_KEY_FILE=secret_key \
    MINIO_ROOT_USER_FILE=access_key \
    MINIO_ROOT_PASSWORD_FILE=secret_key \
    MINIO_KMS_SECRET_KEY_FILE=kms_master_key \

  // daemon pod and are supposed to run the daemon pod.
  // More info: https://kubernetes.io/docs/concepts/workloads/controllers/daemonset/
  optional int32 currentNumberScheduled = 1;

  // The number of nodes that are running the daemon pod, but are
  // not supposed to run the daemon pod.
  // More info: https://kubernetes.io/docs/concepts/workloads/controllers/daemonset/
  optional int32 numberMisscheduled = 2;

But you can also exploit the benefits of parallelism and multiprocessing (having multiple processes running in parallel) for **CPU bound** workloads like those in Machine Learning systems.

Most of the API is fairly straight forward.
However, one interesting aspect is how these policies associate with workloads.
Istio's AuthorizationPolicy has label selectors.
However, we intentionally do not send those as part of the Workload API, in order to keep the size low.

The obvious solution to this is to put the list of selected workloads into the policy itself.
However, this means anytime a workload changes (often), we need to update the policy.

replicated buckets, use this feature to optimize versioning behavior for some specific applications. MinIO experts will evaluate and guide on the benefits for your application, please reach out to us on <https://subnet.min.io>.**

Spark/Hadoop workloads which use Hadoop MR Committer v1/v2 algorithm upload objects to a temporary prefix in a bucket. These objects are 'renamed' to a different prefix on Job commit. Object storage admins are forced to configure separate ILM policies to expire these objects...

## Privileges required

### SIG Autoscaling