cpuNice:           "CPU nice time",
		cpuLoad1:          "CPU load average 1min",
		cpuLoad5:          "CPU load average 5min",
		cpuLoad15:         "CPU load average 15min",
		cpuLoad1Perc:      "CPU load average 1min (perentage)",
		cpuLoad5Perc:      "CPU load average 5min (percentage)",
		cpuLoad15Perc:     "CPU load average 15min (percentage)",
	}
	resourceMetricsGroups = []*MetricsGroupV2{

            Collections.emptyMap();

    /**
     * Initializes the helper.
     * It loads KeyMatch settings from the database.
     */
    @PostConstruct
    public void init() {
        if (logger.isDebugEnabled()) {
            logger.debug("Initialize {}", this.getClass().getSimpleName());
        }
        load();
    }

    /**
     * Returns a list of available KeyMatch instances.
     *

        }

        return true;
    }

    /**
     * Loads properties from the file.
     */
    public synchronized void load() {
        final Properties prop = new Properties();
        try (final FileInputStream fis = new FileInputStream(propertiesFile)) {
            lastModified = propertiesFile.lastModified();
            prop.load(fis);
        } catch (final IOException e) {

            this.windowSize = windowSize;
        }
        load();
    }

    /**
     * Updates the processor configuration by reloading available searchers.
     * This method executes the load operation asynchronously in a separate thread.
     */
    public void update() {
        CommonPoolUtil.execute(this::load);
    }

    /**
     * Loads the available searcher names from system properties.

	buckets     []string
}

// NewMetricsGroup creates a new MetricsGroup. To create a metrics group for
// metrics with a `bucket` dimension (label), use `NewBucketMetricsGroup`.
//
// The `loader` function loads metrics from the cache and the system.
func NewMetricsGroup(path collectorPath, descriptors []MetricDescriptor,
	loader MetricsLoaderFn,
) *MetricsGroup {
	mg := &MetricsGroup{
		CollectorPath: path,

	if objAPI == nil {
		return errServerNotInitialized
	}

	sys.objAPI = objAPI

	// Load bucket metadata sys.
	sys.init(ctx, buckets)
	return nil
}

// concurrently load bucket metadata to speed up loading bucket metadata.
func (sys *BucketMetadataSys) concurrentLoad(ctx context.Context, buckets []string) {
	g := errgroup.WithNErrs(len(buckets))

	return readServerConfig(GlobalContext, objAPI, nil)
}

// loadConfig - loads a new config from disk, overrides params
// from env if found and valid
// data is optional. If nil it will be loaded from backend.
func loadConfig(objAPI ObjectLayer, data []byte) error {
	bootstrapTraceMsg("load the configuration")
	srvCfg, err := readServerConfig(GlobalContext, objAPI, data)
	if err != nil {
		return err

			group := path.Dir(item)
			if err := iamOS.loadGroup(ctx, group, cache.iamGroupsMap); err != nil && err != errNoSuchGroup {
				return fmt.Errorf("unable to load the group: %w", err)
			}
		}
		if took := time.Since(groupsLoadStartTime); took > maxIAMLoadOpTime {
			logger.Info("Groups load took %.2fs (for %d items)", took.Seconds(), len(groupsList))
		}
	}

	bootstrapTraceMsgFirstTime("loading user policy mapping")

MINIO_IDENTITY_OPENID_REDIRECT_URI="http://127.0.0.1:10000/oauth_callback"
MINIO_IDENTITY_OPENID_CLAIM_NAME="groups"
```
</details>

### Redirection from OpenID Provider

### Server Memory { #server-memory }

For example, if your code loads a Machine Learning model with **1 GB in size**, when you run one process with your API, it will consume at least 1 GB of RAM. And if you start **4 processes** (4 workers), each will consume 1 GB of RAM. So in total, your API will consume **4 GB of RAM**.

And if your remote server or virtual machine only has 3 GB of RAM, trying to load more than 4 GB of RAM will cause problems. 🚨