## Build state model

As Gradle executes, it acts on various pieces of the build definition, such as each project in the build.
Gradle tracks the state of each piece and transitions each piece through its lifecycle as the build runs.

A central part of the Gradle architecture is the "build state model", which holds the state for each piece and coordinates state transitions and other mutations. 

#### Content Encryption

<dependency>
    <groupId>org.codelibs</groupId>
    <artifactId>jcifs</artifactId>
    <version>2.1.34</version>
</dependency>
```

## Changes

 * SMB2 (2.02 protocol level) support, some SMB3 support
 * Remove global state
 * Allow per context configuration
 * Logging through SLF4J
 * Drop pre-java 1.7 support
 * Unify authentication subsystem, NTLMSSP/Kerberos support
 * Large ReadX/WriteX support
 * Streaming list operations

## Concepts

- All Buckets on MinIO are always in one of the following states: unversioned (the default) and all other existing deployments, versioning-enabled, or versioning-suspended.
- Versioning state applies to all of the objects in the versioning enabled bucket. The first time you enable a bucket for versioning, objects in the bucket are thereafter always versioned and given a unique version ID.

## Reference

### Design details

transition_workers              (number)    set the number of transition workers (default: '100')
stale_uploads_expiry            (duration)  set to expire stale multipart uploads older than this values (default: '24h')
stale_uploads_cleanup_interval  (duration)  set to change intervals when stale multipart uploads are expired (default: '6h')

On the target bucket, `s3:PutObject` event shows `X-Amz-Replication-Status` status of `REPLICA` in the metadata. Additional metrics to monitor backlog state for the purpose of bandwidth management and resource allocation are exposed via Prometheus - see <https://github.com/minio/minio/blob/master/docs/metrics/prometheus/list.md> for more details.

### Sync/Async Replication

[tools](https://www.tensorflow.org/resources/tools),
[libraries](https://www.tensorflow.org/resources/libraries-extensions), and
[community](https://www.tensorflow.org/community) resources that lets
researchers push the state-of-the-art in ML and developers easily build and
deploy ML-powered applications.

TensorFlow was originally developed by researchers and engineers working within

#
# DN options

# The organization of the subject.
organization = "Example Inc."

# The organizational unit of the subject.
#unit = "sleeping dept."

# The state of the certificate owner.
state = "Example"

# The country of the subject. Two letter code.
country = "EX"

# The common name of the certificate owner.
cn = "Sally Certowner"