[Prometheus](https://prometheus.io) is a cloud-native monitoring platform. Prometheus offers a multi-dimensional data model with time series data identified by metric name and key/value pairs. The data collection happens via a pull model over HTTP/HTTPS. Users looking to monitor their MinIO instances can point Prometheus configuration to scrape data from following endpoints. 

 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.artifact;

import javax.inject.Inject;
import javax.inject.Named;

import java.io.File;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.OutputStreamWriter;
import java.io.Writer;
import java.nio.charset.StandardCharsets;

1. Click **Management**.
1. Click **Index Patterns**.
1. Click **Create index pattern** button
1. Input "fess\_log\*" to the textbox of **index pattern**.
1. Click **Next step**.
1. Set "requestedAt" to the **Time Filter field name**.
1. Click **Create index pattern**.
1. Click **Saved Objects**.
1. Click **Import** and select "fess\_log.ndjson" to import example settings.
1. Click **Dashboard**.
1. Select "fess\_log" dashboard.

        prepTask = branch.prepNightlyTaskName(),
        triggerName = "QuickFeedback",
        cleanCheckout = false,
    ) {
    init {
        id("Promotion_SnapshotFromQuickFeedbackStepPromote")
        name = "Nightly Snapshot (from QuickFeedback) - Promote"
        description =

import org.dbflute.Entity;
import org.dbflute.dbmeta.AbstractDBMeta;
import org.dbflute.dbmeta.info.ColumnInfo;
import org.dbflute.dbmeta.info.UniqueInfo;
import org.dbflute.dbmeta.name.TableSqlName;
import org.dbflute.dbmeta.property.PropertyGateway;
import org.dbflute.dbway.DBDef;
import org.dbflute.util.DfTypeUtil;

/**
 * The DBM of KeyMatch.
 *
 * @author ESFlute (using FreeGen)
 */

	histBuckets := []float64{0.05, 0.1, 0.25, 0.5, 0.75}
	labels := []string{"GetObject", "PutObject", "CopyObject", "CompleteMultipartUpload"}
	ttfbHist := prometheus.NewHistogramVec(
		prometheus.HistogramOpts{
			Name:    "s3_ttfb_seconds",
			Help:    "Time taken by requests served by current MinIO server instance",
			Buckets: histBuckets,
		},
		[]string{"api"},
	)
	observations := []struct {
		val   float64
		label string

### Feature

- ACTION REQUIRED : In CoreDNS v1.7.0, [metrics names have been changed](https://github.com/coredns/coredns/blob/master/notes/coredns-1.7.0.md#metric-changes) which will be backward incompatible with existing reporting formulas that use the old metrics' names. Adjust your formulas to the new names before upgrading. 
  
  Kubeadm now includes CoreDNS version v1.7.0. Some of the major changes include:

    private static final String LIST_ENDPOINT_SUFFIX = "settings";
    private static final String ITEM_ENDPOINT_SUFFIX = "setting";

    private static final String KEY_PROPERTY = "name";

    @Override
    protected String getNamePrefix() {
        return NAME_PREFIX;
    }

    @Override
    protected String getApiPath() {
        return API_PATH;
    }

    @Override

public class LsaPolicyHandle extends rpc.policy_handle {

    DcerpcHandle handle;

    /**
     * Constructs an LSA policy handle.
     *
     * @param handle the DCERPC handle
     * @param server the server name
     * @param access the access rights
     * @throws IOException if an I/O error occurs
     */
    public LsaPolicyHandle(final DcerpcHandle handle, String server, final int access) throws IOException {

 */
public class MsrpcDfsRootEnum extends netdfs.NetrDfsEnumEx {

    /**
     * Creates a new DFS root enumeration request for the specified server.
     *
     * @param server the server name to enumerate DFS roots from
     */
    public MsrpcDfsRootEnum(final String server) {
        super(server, 200, 0xFFFF, new netdfs.DfsEnumStruct(), new NdrLong(0));
        info.level = level;