* HTTP/2 support allows all requests to the same host to share a socket.
 * Connection pooling reduces request latency (if HTTP/2 isn’t available).
 * Transparent GZIP shrinks download sizes.
 * Response caching avoids the network completely for repeat requests.

OkHttp perseveres when the network is troublesome: it will silently recover from common connection

```bash
helm install --name my-release --set persistence.size=1Ti minio/minio
```

The above command deploys MinIO server with a 1Ti backing persistent volume.

Alternately, you can provide a YAML file that specifies parameter values while installing the chart. For example,

```bash
helm install --name my-release -f values.yaml minio/minio
```

## Container Installation

Use the following commands to run a standalone MinIO server as a container.

Standalone MinIO servers are best suited for early development and evaluation. Certain features such as versioning, object locking, and bucket replication
require distributed deploying MinIO with Erasure Coding. For extended development and production, deploy MinIO with Erasure Coding enabled - specifically,

server to create representative test cases. Or test that your code survives in
awkward-to-reproduce situations like 500 errors or slow-loading responses.


### Example

Use MockWebServer the same way that you use mocking frameworks like
[Mockito](https://github.com/mockito/mockito):

1. Script the mocks.
2. Run application code.
3. Verify that the expected requests were made.

Here's a complete example:

```java

#   public URL to share your build results with collaborators. However,
#   it is only available to a limited set of internal TensorFlow developers.
#
#   RBE is incompatible with local caching, so you must remove
#   disk_cache, public_cache, and public_cache_push from your $TFCI file.
#
# To use RBE, you must first run `gcloud auth application-default login`, then:
export TFCI=py311,linux_x86,rbe