These examples run the server program (e.g Uvicorn), starting **a single process**, listening on all the IPs (`0.0.0.0`) on a predefined port (e.g. `80`).

This is the basic idea. But you will probably want to take care of some additional things, like:

* Security - HTTPS
* Running on startup
* Restarts
* Replication (the number of processes running)
* Memory
* Previous steps before starting

            "lineWidth": 1,
            "pointSize": 5,
            "scaleDistribution": {
              "type": "linear"
            },
            "showPoints": "never",
            "spanNulls": false,
            "stacking": {
              "group": "A",
              "mode": "none"
            },
            "thresholdsStyle": {
              "mode": "off"
            }
          },
          "mappings": [],

            "pointSize": 5,
            "scaleDistribution": {
              "type": "linear"
            },
            "showPoints": "never",
            "spanNulls": false,
            "stacking": {
              "group": "A",
              "mode": "none"
            },
            "thresholdsStyle": {
              "mode": "off"
            }
          },
          "mappings": [],

streaming_cluster_id              (string)    unique ID for NATS streaming cluster
cert_authority                    (string)    path to certificate chain of the target NATS server
client_cert                       (string)    client cert for NATS mTLS auth
client_key                        (string)    client cert key for NATS mTLS auth
queue_dir                         (path)      staging dir for undelivered messages e.g. '/home/events'

Sebastian Schuberth <******@****.***> <******@****.***>
Stefan Oehme <******@****.***> <******@****.***>
Sterling Greene <sterling@gradle.com> <******@****.***>
Sterling Greene <sterling@gradle.com> <sterling******@****.***>
Szczepan Faber <******@****.***>
Szczepan Faber <******@****.***> <******@****.***>

            "pointSize": 5,
            "scaleDistribution": {
              "type": "linear"
            },
            "showPoints": "never",
            "spanNulls": false,
            "stacking": {
              "group": "A",
              "mode": "none"
            },
            "thresholdsStyle": {
              "mode": "off"
            }
          },
          "links": [],

    }

    /**
     * Creates a security descriptor by decoding from a byte buffer.
     *
     * @param buffer the byte buffer containing the security descriptor data
     * @param bufferIndex the starting offset in the buffer
     * @param len the length of data to decode
     * @throws IOException if an I/O error occurs during decoding
     */

            if (!job.isUnscheduled()) {
                if (StringUtil.isNotBlank(scheduledJob.getCronExpression())) {
                    logger.info("Starting Job {}:{}", id, scheduledJob.getName());
                    final String cronExpression = scheduledJob.getCronExpression();
                    job.reschedule(cronExpression, op -> op.changeNoticeLogToDebug().params(paramsOp));
                } else {

                traverseFileSystem(rootDir, file, handler);
            } else {
                final int pos = FileUtil.getCanonicalPath(rootDir).length();
                final String filePath = FileUtil.getCanonicalPath(file);
                final String resourcePath = filePath.substring(pos + 1).replace('\\', '/');
                final InputStream is = InputStreamUtil.create(file);
                try {

set before starting MinIO server. After the data and parity drives for each storage class are defined using environment variables,
you can set the storage class of an object via request metadata field `x-amz-storage-class`. MinIO server then honors the storage class by
saving the object in specific number of data and parity drives.

## Storage usage