install --set tls.enabled=true,tls.certSecret=tls-ssl-minio minio/minio ``` ### Installing certificates from third party CAs MinIO can connect to other servers, including MinIO nodes or other server types such as NATs and Redis. If these servers use certificates that were not registered with a known CA, add trust for these certificates to MinIO Server by bundling these certificates into a Kubernetes secret and providing it to Helm via the `trustedCertsSecret` value. If `.Values.tls.enabled` is `true`...

export MINIO_BROWSER=off

make install-race

# Start MinIO instances
echo -n "Starting MinIO instances ..."
minio server --address 127.0.0.1:9001 --console-address ":10000" "http://127.0.0.1:9001/tmp/sitea/data/disterasure/xl{1...4}" \
	"http://127.0.0.1:9002/tmp/sitea/data/disterasure/xl{5...8}" >/tmp/sitea_1.log 2>&1 &
minio server --address 127.0.0.1:9002 "http://127.0.0.1:9001/tmp/sitea/data/disterasure/xl{1...4}" \

  // Requests for TLS serving certificates typically request: "key encipherment", "digital signature", "server auth".
  //
  // Valid values are:
  //  "signing", "digital signature", "content commitment",
  //  "key encipherment", "key agreement", "data encipherment",
  //  "cert sign", "crl sign", "encipher only", "decipher only", "any",
  //  "server auth", "client auth",
  //  "code signing", "email protection", "s/mime",

  // versions the Webhook expects. API server will try to use first version in
  // the list which it supports. If none of the versions specified in this list
  // supported by API server, validation will fail for this object.
  // If a persisted webhook configuration specifies allowed versions and does not
  // include any versions known to the API Server, calls to the webhook will fail
  // and be subject to the failure policy.

## 5. Explore Further

- [Use `mc` with MinIO Server](https://min.io/docs/minio/linux/reference/minio-mc.html)
- [Use `mc sql` with MinIO Server](https://min.io/docs/minio/linux/reference/minio-mc/mc-sql.html#command-mc.sql)
- [Use `minio-go` SDK with MinIO Server](https://min.io/docs/minio/linux/developers/go/minio-go.html)
- [Use `aws-cli` with MinIO Server](https://min.io/docs/minio/linux/integrations/aws-cli-with-minio.html)

    {
        INTERFACES.put(name, syntax);
    }

    String proto;
    String server;
    String endpoint = null;
    HashMap options = null;
    UUID uuid = null;
    int major;
    int minor;

    DcerpcBinding(String proto, String server) {
        this.proto = proto;
        this.server = server;
    }

    void setOption(String key, Object val) throws DcerpcException {

version: '3.7'

# Settings and configurations that are common for all containers
x-minio-common: &minio-common
  image: quay.io/minio/minio:${JOB_NAME}
  command: server --console-address ":9001" http://minio{1...4}/cdata{1...2}
  expose:
    - "9000"
    - "9001"
  environment:
    MINIO_CI_CD: "on"
    MINIO_ROOT_USER: "minio"
    MINIO_ROOT_PASSWORD: "minio123"
    MINIO_COMPRESSION_ENABLE: "on"
    MINIO_COMPRESSION_MIME_TYPES: "*"

version: '3.7'

# Settings and configurations that are common for all containers
x-minio-common: &minio-common
  image: quay.io/minio/minio:${JOB_NAME}
  command: server --console-address ":9001" http://minio{1...4}/rdata{1...2}
  expose:
    - "9000"
    - "9001"
  environment:
    MINIO_CI_CD: "on"
    MINIO_ROOT_USER: "minio"
    MINIO_ROOT_PASSWORD: "minio123"
    MINIO_KMS_SECRET_KEY: "my-minio-key:OSMM+vkKUTCvQs9YL/CVMIMt43HFhkUpqJxTmGl6rYw="

# Settings and configurations that are common for all containers
x-minio-common: &minio-common
  image: quay.io/minio/minio:${RELEASE}
  command: server http://site1-minio{1...4}/data{1...2}
  environment:
    - MINIO_PROMETHEUS_AUTH_TYPE=public
    - CI=true

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  site1-minio1:

// In-process TensorFlow server functionality, for use in distributed training.
// A Server instance encapsulates a set of devices and a Session target that
// can participate in distributed training. A server belongs to a cluster
// (specified by a ClusterSpec), and corresponds to a particular task in a
// named job. The server can communicate with any other server in the same
// cluster.