[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. 

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

Tham số `name` được định nghĩa là `Optional[str]`, nhưng nó **không phải là tùy chọn**, bạn không thể gọi hàm mà không có tham số:

```Python
say_hi()  # Oh, no, this throws an error! 😱
```

Tham số `name` **vẫn được yêu cầu** (không phải là *tùy chọn*) vì nó không có giá trị mặc định. Trong khi đó, `name` chấp nhận `None` như là giá trị:

```Python
say_hi(name=None)  # This works, None is valid 🎉
```

      keyStore.setKeyEntry("private", heldCertificate.keyPair.private, password, chain)
    }

    // https://github.com/bcgit/bc-java/issues/1160
    val isBouncyCastle = keyStore.provider.name == "BC"
    val algorithm = if (isBouncyCastle) "PKIX" else KeyManagerFactory.getDefaultAlgorithm()

    val factory = KeyManagerFactory.getInstance(algorithm)
    factory.init(keyStore, password)

			h.Uname = u.Username
			userMap.Store(h.Uid, h.Uname)
		}
		if g, ok := groupMap.Load(h.Gid); ok {
			h.Gname = g.(string)
		} else if g, err := user.LookupGroupId(strconv.Itoa(h.Gid)); err == nil {
			h.Gname = g.Name
			groupMap.Store(h.Gid, h.Gname)
		}
	}
	h.AccessTime = statAtime(sys)
	h.ChangeTime = statCtime(sys)

	// Best effort at populating Devmajor and Devminor.
	if h.Typeflag == TypeChar || h.Typeflag == TypeBlock {

name: TensorFlow Issue Template
description: Use this template to report TensorFlow-related issues
body:
  - type: dropdown
    id: issue-type
    attributes:
      label: Issue type
      description: What type of issue would you like to report?
      multiple: false
      options:
        - Bug
        - Build/Install
        - Performance
        - Support
        - Feature Request
        - Documentation Feature Request

      comment syntax for the file format. We also recommend that a
      file or class name and description of purpose be included on the
      same "printed page" as the copyright notice for easier
      identification within third-party archives.

   Copyright [yyyy] [name of copyright owner]

   Licensed under the Apache License, Version 2.0 (the "License");