MinIO batch jobs framework also provides

- Retrying a failed job automatically driven by user input
- Monitoring job progress in real-time
- Send notifications upon completion or failure to user configured target

Following YAML describes the structure of a replication job, each value is documented and self-describing.

```yaml
replicate:
  apiVersion: v1
  # source of the objects to be replicated

##### Figure 1 - Secure Channel construction

```
plaintext   := chunk_0          ||       chunk_1          ||       chunk_2          ||       ...
                 |                         |                         |

...
11:55:40 I/XmlResultReporter: XML test result file generated at /Users/myusername/workspace/okhttp/android-test/build/outputs/androidTest-results/connected/TEST-pixel3a-Q(AVD) - 10-android-test-.xml. Total tests 13, passed 11, assumption_failure 1, ignored 1,
...
BUILD SUCCESSFUL in 1m 30s
63 actionable tasks: 61 executed, 2 up-to-date

```

...
11:55:40 I/XmlResultReporter: XML test result file generated at /Users/myusername/workspace/okhttp/regression-test/build/outputs/regression-results/connected/TEST-pixel3a-Q(AVD) - 10-android-test-.xml. Total tests 13, passed 11, assumption_failure 1, ignored 1,
...
BUILD SUCCESSFUL in 1m 30s
63 actionable tasks: 61 executed, 2 up-to-date

```

In 12 drive example above, with MinIO server running in the default configuration, you can lose any of the six drives and still reconstruct the data reliably from the remaining drives.

## Why is Erasure Code useful?

both mass tagging objects with an extremely short lifetime and to reliably identifying very persistent objects across a network.

When you PUT an object in a versioning-enabled bucket, the noncurrent version is not overwritten. The following figure shows that when a new version of `spark.csv` is PUT into a bucket that already contains an object with the same name, the original object (ID = `ede336f2`) remains in the bucket, MinIO generates a new version (ID = `fae684da`), and adds the newer...

`PENDING` to `COMPLETED` or `FAILED` after replication attempt either succeeded or failed respectively. On the destination side, a `X-Amz-Replication-Status` status of `REPLICA` indicates that the object was replicated successfully. Any replication failures are automatically re-attempted during a periodic disk scanner cycle.

To perform bi-directional replication, repeat the above process on the target site - this time setting the source bucket as the replication target. It is recommended...

Example:

```sh

MinIO in distributed mode lets you pool multiple drives (even on different machines) into a single object storage server. As drives are distributed across several nodes, distributed MinIO can withstand multiple node failures and yet ensure full data protection.

## Why distributed MinIO?

#   re-running tests. However, note that:
#
#    - New environments like new CUDA versions, changes to manylinux,
#      compilers, etc. can cause undefined behavior such as build failures
#      or tests passing incorrectly.
#    - Automatic LLVM updates are known to extend build time even with
#      the cache; this is unavoidable.
export TFCI=py311,linux_x86,public_cache,disk_cache