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docs/en/docs/deployment/concepts.md
### Example Tools to Run at Startup Some examples of the tools that can do this job are: * Docker * Kubernetes * Docker Compose * Docker in Swarm Mode * Systemd * Supervisor * Handled internally by a cloud provider as part of their services * Others... I'll give you more concrete examples in the next chapters. ## Restarts
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docs/en/docs/deployment/docker.md
## Replication - Number of Processes
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internal/bucket/lifecycle/lifecycle_test.go
{ inputConfig: `<BucketLifecycleConfiguration><Rule><Expiration><Days>30</Days><ExpiredObjectAllVersions>true</ExpiredObjectAllVersions></Expiration><Transition><Days>10</Days><StorageClass>WARM-1</StorageClass></Transition><Filter></Filter><Status>Enabled</Status></Rule></BucketLifecycleConfiguration>`, objectName: "foodir/fooobject",
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cmd/erasure-object.go
res, err := er.NewMultipartUpload(ctx, bucket, object, ropts) if err != nil { return setRestoreHeaderFn(oi, err) } var uploadedParts []CompletePart var rs *HTTPRangeSpec // get reader from the warm backend - note that even in the case of encrypted objects, this stream is still encrypted. gr, err := getTransitionedObjectReader(ctx, bucket, object, rs, http.Header{}, oi, opts) if err != nil {
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RELEASE.md
* Does not support gradients. * See `tf.types.experimental.AtomicFunction` documentation for how to call and use it. * `tf.data`: * Moved option `warm_start` from `tf.data.experimental.OptimizationOptions` to `tf.data.Options`. * `tf.lite`: * `sub_op` and `mul_op` support broadcasting up to 6 dimensions.
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