- Follow the on screen wizard

- On the Capacity Tier screen, check the box to Extend scale-out backup repository capacity with object storage checkbox and select the object storage. If you want to be able to test backup data immediately after a job is run, under the object storage selection, check the "Copy" box and uncheck the "Move" box.

### Create a backup job

#### Backup Virtual Machines with Veeam Backup and Replication

- Supports object locking/retention across source and destination buckets natively out of the box, unlike AWS S3.

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  <mime-type type="application/vnd.preminet"/>
  <mime-type type="application/vnd.previewsystems.box">
    <glob pattern="*.box"/>
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  <mime-type type="application/vnd.proteus.magazine">
    <glob pattern="*.mgz"/>
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  <mime-type type="application/vnd.publishare-delta-tree">

    [`tf.distribute.Strategy`](https://www.tensorflow.org/beta/guide/distribute_strategy)
    API to distribute training with minimal code changes, yielding great
    out-of-the-box performance. It supports distributed training with Keras
    model.fit, as well as with custom training loops. Multi-GPU support is
    available, along with experimental support for multi worker and Cloud TPUs.
    Check out the

te3[uint8(s0)] t2 = xk[k+2] ^ te0[uint8(s2>>24)] ^ te1[uint8(s3>>16)] ^ te2[uint8(s0>>8)] ^ te3[uint8(s1)] t3 = xk[k+3] ^ te0[uint8(s3>>24)] ^ te1[uint8(s0>>16)] ^ te2[uint8(s1>>8)] ^ te3[uint8(s2)] k += 4 s0, s1, s2, s3 = t0, t1, t2, t3 } // Last round uses s-box directly and XORs to produce output. s0 = uint32(sbox0[t0>>24])<<24 | uint32(sbox0[t1>>16&0xff])<<16 | uint32(sbox0[t2>>8&0xff])<<8 | uint32(sbox0[t3&0xff]) s1 = uint32(sbox0[t1>>24])<<24 | uint32(sbox0[t2>>16&0xff])<<16 | uint32(sbox0[t3>>8&0xff])<<8...