Widget Carte thermique

Widget Carte thermique

Les cartes thermiques illustrent les métriques agrégées en fonction de nombreux tags, tels que des hosts. Plus le nombre de hosts partageant une valeur donnée est élevé, plus le carré est foncé.

Cette visualisation affiche une seule requête de métrique. Les requêtes supplémentaires sont ignorées.

Remarque : la détection des singularités n’est pas possible avec cette visualisation.

Configuration

Configuration

Configurez votre requête de métrique comme d’habitude. Notez que ce type de visualisation est uniquement utile lorsque les métriques sont agrégées en fonction de clés de tag, p. ex. pour chaque host.

Utilisez les réglages avg/max/min/sum by/etc. pour visualiser vos données en fonction des tags associés.

Options

Superposition d’événements

Intégrez des événements de systèmes associés pour ajouter plus de contexte à votre graphique. Par exemple, vous pouvez ajouter des commits Github, des déploiements Jenkins ou des événements de création Docker. Développez la section Event Overlays et saisissez une requête pour afficher ces événements. Utilisez le même format de requête que pour le flux d’événements, par exemple :

RequêteDescription
sources:jenkinsAffiche tous les événements provenant de la source Jenkins.
tag:role:webAffiche tous les événements avec le tag role:web.
tags:$<TEMPLATE_VARIABLE>Affiche tous les événements provenant de la template variable sélectionnée.

Commandes de l’axe des ordonnées

Les commandes de l’axe des ordonnées sont disponibles via l’interface utilisateur et l’éditeur JSON. Grâce à ces commandes, vous pouvez :

  • Régler l’axe des ordonnées sur un intervalle donné
  • Changer automatiquement les limites de l’axe des ordonnées en définissant un pourcentage ou une valeur absolue. Une limite peut être appliquée à l’une des deux extrémités du graphique (inférieure ou supérieure) pour supprimer les singularités.
  • Changer l’échelle de l’axe des ordonnées afin de passer d’une échelle linéaire à une échelle logarithmique, racine carrée ou puissance.

Changer l’échelle de l’axe des ordonnées en développant le bouton Y-Axis Controls.

Les options de configuration suivantes sont disponibles :

OptionObligatoireDescription
Min/MaxNonSpécifie la valeur minimale (et/ou maximale) à afficher sur l’axe des ordonnées. Indiquez un nombre ou Auto (la valeur par défaut).
ScaleNonSpécifie le type d’échelle. Valeurs autorisées :
- linear : une échelle linéaire (échelle par défaut).
- log : une échelle logarithmique
- pow : une échelle basée sur une puissance de 2. La valeur par défaut est 2, mais celle-ci peut être modifiée dans l’éditeur JSON.
- sqrt : une échelle basée sur la racine carrée.
Always include zeroNonIndique s’il faut toujours inclure le zéro ou ajuster l’axe à la plage de données. Par défaut, le zéro est toujours inclus.

Remarque : comme la fonction log mathématique n’accepte pas les valeurs négatives, notre échelle log ne fonctionne que si les valeurs ont le même signe (tout > 0 ou tout < 0). Si ce n’est pas le cas, un graphique vide s’affiche.

API

Ce widget peut être utilisé avec l'API Dashboards. Consultez la documentation à ce sujet pour en savoir plus.

Le schéma JSON utilisé pour le widget Carte thermique est le suivant :

Expand All

Champ

Type

Description

custom_links

[object]

List of custom links.

is_hidden

boolean

The flag for toggling context menu link visibility.

label

string

The label for the custom link URL. Keep the label short and descriptive. Use metrics and tags as variables.

link

string

The URL of the custom link. URL must include http or https. A relative URL must start with /.

override_label

string

The label ID that refers to a context menu link. Can be logs, hosts, traces, profiles, processes, containers, or rum.

events

[object]

List of widget events.

q [required]

string

Query definition.

tags_execution

string

The execution method for multi-value filters.

legend_size

string

Available legend sizes for a widget. Should be one of "0", "2", "4", "8", "16", or "auto".

requests [required]

[object]

List of widget types.

apm_query

object

The log query.

compute

object

Define computation for a log query.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

interval

int64

Define a time interval in seconds.

group_by

[object]

List of tag prefixes to group by in the case of a cluster check.

facet [required]

string

Facet name.

limit

int64

Maximum number of items in the group.

sort

object

Define a sorting method.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

order [required]

enum

Widget sorting methods. Allowed enum values: asc,desc

index

string

A coma separated-list of index names. Use "*" query all indexes at once. Multiple Indexes

multi_compute

[object]

This field is mutually exclusive with compute.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

interval

int64

Define a time interval in seconds.

search

object

The query being made on the logs.

query [required]

string

Search value to apply.

event_query

object

The event query.

search [required]

string

The query being made on the event.

tags_execution [required]

string

The execution method for multi-value filters. Can be either and or or.

log_query

object

The log query.

compute

object

Define computation for a log query.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

interval

int64

Define a time interval in seconds.

group_by

[object]

List of tag prefixes to group by in the case of a cluster check.

facet [required]

string

Facet name.

limit

int64

Maximum number of items in the group.

sort

object

Define a sorting method.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

order [required]

enum

Widget sorting methods. Allowed enum values: asc,desc

index

string

A coma separated-list of index names. Use "*" query all indexes at once. Multiple Indexes

multi_compute

[object]

This field is mutually exclusive with compute.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

interval

int64

Define a time interval in seconds.

search

object

The query being made on the logs.

query [required]

string

Search value to apply.

network_query

object

The log query.

compute

object

Define computation for a log query.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

interval

int64

Define a time interval in seconds.

group_by

[object]

List of tag prefixes to group by in the case of a cluster check.

facet [required]

string

Facet name.

limit

int64

Maximum number of items in the group.

sort

object

Define a sorting method.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

order [required]

enum

Widget sorting methods. Allowed enum values: asc,desc

index

string

A coma separated-list of index names. Use "*" query all indexes at once. Multiple Indexes

multi_compute

[object]

This field is mutually exclusive with compute.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

interval

int64

Define a time interval in seconds.

search

object

The query being made on the logs.

query [required]

string

Search value to apply.

process_query

object

The process query to use in the widget.

filter_by

[string]

List of processes.

limit

int64

Max number of items in the filter list.

metric [required]

string

Your chosen metric.

search_by

string

Your chosen search term.

profile_metrics_query

object

The log query.

compute

object

Define computation for a log query.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

interval

int64

Define a time interval in seconds.

group_by

[object]

List of tag prefixes to group by in the case of a cluster check.

facet [required]

string

Facet name.

limit

int64

Maximum number of items in the group.

sort

object

Define a sorting method.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

order [required]

enum

Widget sorting methods. Allowed enum values: asc,desc

index

string

A coma separated-list of index names. Use "*" query all indexes at once. Multiple Indexes

multi_compute

[object]

This field is mutually exclusive with compute.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

interval

int64

Define a time interval in seconds.

search

object

The query being made on the logs.

query [required]

string

Search value to apply.

q

string

Widget query.

rum_query

object

The log query.

compute

object

Define computation for a log query.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

interval

int64

Define a time interval in seconds.

group_by

[object]

List of tag prefixes to group by in the case of a cluster check.

facet [required]

string

Facet name.

limit

int64

Maximum number of items in the group.

sort

object

Define a sorting method.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

order [required]

enum

Widget sorting methods. Allowed enum values: asc,desc

index

string

A coma separated-list of index names. Use "*" query all indexes at once. Multiple Indexes

multi_compute

[object]

This field is mutually exclusive with compute.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

interval

int64

Define a time interval in seconds.

search

object

The query being made on the logs.

query [required]

string

Search value to apply.

security_query

object

The log query.

compute

object

Define computation for a log query.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

interval

int64

Define a time interval in seconds.

group_by

[object]

List of tag prefixes to group by in the case of a cluster check.

facet [required]

string

Facet name.

limit

int64

Maximum number of items in the group.

sort

object

Define a sorting method.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

order [required]

enum

Widget sorting methods. Allowed enum values: asc,desc

index

string

A coma separated-list of index names. Use "*" query all indexes at once. Multiple Indexes

multi_compute

[object]

This field is mutually exclusive with compute.

aggregation [required]

string

The aggregation method.

facet

string

Facet name.

interval

int64

Define a time interval in seconds.

search

object

The query being made on the logs.

query [required]

string

Search value to apply.

style

object

Widget style definition.

palette

string

Color palette to apply to the widget.

show_legend

boolean

Whether or not to display the legend on this widget.

time

object

Time setting for the widget.

live_span

enum

The available timeframes depend on the widget you are using. Allowed enum values: 1m,5m,10m,15m,30m,1h,4h,1d,2d,1w,1mo,3mo,6mo,1y,alert

title

string

Title of the widget.

title_align

enum

How to align the text on the widget. Allowed enum values: center,left,right

title_size

string

Size of the title.

type [required]

enum

Type of the heat map widget. Allowed enum values: heatmap

yaxis

object

Axis controls for the widget.

include_zero

boolean

True includes zero.

label

string

The label of the axis to display on the graph.

max

string

Specifies the maximum value to show on the y-axis. It takes a number, or auto for default behavior.

min

string

Specifies minimum value to show on the y-axis. It takes a number, or auto for default behavior.

scale

string

Specifies the scale type. Possible values are linear, log, sqrt, pow## (e.g. pow2, pow0.5 etc.).

{
  "custom_links": [
    {
      "is_hidden": false,
      "label": "Search logs for {{host}}",
      "link": "https://app.datadoghq.com/logs?query={{host}}",
      "override_label": "logs"
    }
  ],
  "events": [
    {
      "q": "",
      "tags_execution": "string"
    }
  ],
  "legend_size": "string",
  "requests": [
    {
      "apm_query": {
        "compute": {
          "aggregation": "avg",
          "facet": "@duration",
          "interval": 5000
        },
        "group_by": [
          {
            "facet": "resource_name",
            "limit": 50,
            "sort": {
              "aggregation": "avg",
              "facet": "@string_query.interval",
              "order": "desc"
            }
          }
        ],
        "index": "days-3,days-7",
        "multi_compute": [
          {
            "aggregation": "avg",
            "facet": "@duration",
            "interval": 5000
          }
        ],
        "search": {
          "query": ""
        }
      },
      "event_query": {
        "search": "",
        "tags_execution": ""
      },
      "log_query": {
        "compute": {
          "aggregation": "avg",
          "facet": "@duration",
          "interval": 5000
        },
        "group_by": [
          {
            "facet": "resource_name",
            "limit": 50,
            "sort": {
              "aggregation": "avg",
              "facet": "@string_query.interval",
              "order": "desc"
            }
          }
        ],
        "index": "days-3,days-7",
        "multi_compute": [
          {
            "aggregation": "avg",
            "facet": "@duration",
            "interval": 5000
          }
        ],
        "search": {
          "query": ""
        }
      },
      "network_query": {
        "compute": {
          "aggregation": "avg",
          "facet": "@duration",
          "interval": 5000
        },
        "group_by": [
          {
            "facet": "resource_name",
            "limit": 50,
            "sort": {
              "aggregation": "avg",
              "facet": "@string_query.interval",
              "order": "desc"
            }
          }
        ],
        "index": "days-3,days-7",
        "multi_compute": [
          {
            "aggregation": "avg",
            "facet": "@duration",
            "interval": 5000
          }
        ],
        "search": {
          "query": ""
        }
      },
      "process_query": {
        "filter_by": [],
        "limit": "integer",
        "metric": "system.load.1",
        "search_by": "string"
      },
      "profile_metrics_query": {
        "compute": {
          "aggregation": "avg",
          "facet": "@duration",
          "interval": 5000
        },
        "group_by": [
          {
            "facet": "resource_name",
            "limit": 50,
            "sort": {
              "aggregation": "avg",
              "facet": "@string_query.interval",
              "order": "desc"
            }
          }
        ],
        "index": "days-3,days-7",
        "multi_compute": [
          {
            "aggregation": "avg",
            "facet": "@duration",
            "interval": 5000
          }
        ],
        "search": {
          "query": ""
        }
      },
      "q": "jvm.heap.memory",
      "rum_query": {
        "compute": {
          "aggregation": "avg",
          "facet": "@duration",
          "interval": 5000
        },
        "group_by": [
          {
            "facet": "resource_name",
            "limit": 50,
            "sort": {
              "aggregation": "avg",
              "facet": "@string_query.interval",
              "order": "desc"
            }
          }
        ],
        "index": "days-3,days-7",
        "multi_compute": [
          {
            "aggregation": "avg",
            "facet": "@duration",
            "interval": 5000
          }
        ],
        "search": {
          "query": ""
        }
      },
      "security_query": {
        "compute": {
          "aggregation": "avg",
          "facet": "@duration",
          "interval": 5000
        },
        "group_by": [
          {
            "facet": "resource_name",
            "limit": 50,
            "sort": {
              "aggregation": "avg",
              "facet": "@string_query.interval",
              "order": "desc"
            }
          }
        ],
        "index": "days-3,days-7",
        "multi_compute": [
          {
            "aggregation": "avg",
            "facet": "@duration",
            "interval": 5000
          }
        ],
        "search": {
          "query": ""
        }
      },
      "style": {
        "palette": "string"
      }
    }
  ],
  "show_legend": false,
  "time": {
    "live_span": "5m"
  },
  "title": "string",
  "title_align": "string",
  "title_size": "string",
  "type": "heatmap",
  "yaxis": {
    "include_zero": false,
    "label": "string",
    "max": "string",
    "min": "string",
    "scale": "string"
  }
}

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