Widget de series temporales

La visualización de series temporales te permite mostrar la evolución de una o varias métricas, eventos de log o tramos indexados a lo largo del tiempo. El intervalo de tiempo depende de lo que se seleccione en timeboard o screenboard:

Un widget de serie temporal que muestra average system.cpu.user para un host

Configuración

Configuración

Configuración de serie temporal

  1. Elige los datos para los que crear gráficas:

  2. Personaliza tu gráfico con las [opciones] disponibles(#display-options).

Opciones de visualización

Los gráficos pueden mostrarse como líneas, áreas y barras. Los gráficos de líneas contienen parámetros adicionales:

ParámetroOpciones
EstiloSólido, discontinuo o punteado
TrazosNormal, fino o grueso

Color

Para todos los tipos de gráficos, Datadog ofrece varias opciones de color para diferenciar varias métricas mostradas en el mismo gráfico:

PaletaDescripción
ClásicoLos colores simples azul claro, azul oscuro, morado claro, morado, amarillo claro y amarillo (los colores se repiten).
UniformeMediante un conjunto de 16 colores, aplica un color uniforme para cada serie de datos en todos los widgets para cada grupo de etiqueta.

Para los gráficos de líneas, se pueden asignar paletas específicas a diferentes métricas separando las consultas en JSON. Para obtener más información, consulta la guía de Selección de los colores adecuados para tus gráficos.

Alias de métricas

Cada consulta o fórmula, junto con cualquier etiqueta de filtro, puede tener un alias. El alias anula la visualización en el gráfico y la leyenda, lo que resulta útil para nombres largos de métrica o listas largas de filtros. Al final de tu consulta o fórmula, haz clic en as… (como…) e introduce tu alias de métrica:

Añadir un alias para una consulta de búsqueda en el editor de widget de serie temporal

Superposición de eventos

La superposición de eventos es compatible con todas las fuentes de datos. Esto permite una correlación más fácil entre los eventos empresariales y los datos de cualquier servicio de Datadog.

Con la superposición de eventos, puedes ver cómo las acciones dentro de la organización afectan al rendimiento de las aplicaciones y la infraestructura. Estos son algunos ejemplos de casos de uso:

  • Tasas de error de RUM con eventos de despliegue superpuestos
  • Correlación del uso de la CPU con eventos relacionados con el suministro de servidores adicionales
  • Correlación del tráfico de salida con actividades sospechosas de inicio de sesión
  • Correlación de los datos de las series temporales con las alertas de monitor para garantizar que Datadog se ha configurado con las alertas adecuadas
Widgets de serie temporal que muestra tasas de error de RUM con eventos de despliegue superpuestos

Puedes añadir eventos de sistemas relacionados para sumar contexto a tu gráfico, como registros commits de GitHub, despliegues de Jenkins y eventos de creación de Docker. Haz clic en Add Event Overlay (Añadir superposición de evento) en la sección Event Overlays (Superposiciones de evento) e introduce una consulta para mostrar esos eventos.

Utiliza el mismo formato de consulta que para Event Explorer, por ejemplo:

ConsultaDescripción
sources:jenkinsMuestra todos los eventos de la fuente Jenkins.
tag:role:webMuestra todos los eventos con la etiqueta role:web.
tags:$<TEMPLATE_VARIABLE>Muestra todos los eventos de la variable de plantilla seleccionada.

Marcadores

Para añadir marcadores para conjuntos de datos adicionales, haz clic en Add Marker (Añadir marcador) en la sección Markers (Marcadores).

  1. Selecciona una Línea o Rango e introduce un valor o un rango o valores.
  2. En el campo Show as (Mostrar como), selecciona un estado/color de alerta y elige entre una línea horizontal continua, en negrita o discontinua.
  3. Para añadir una etiqueta que se muestre en la parte inferior izquierda del widget de serie temporal, define un valor para el eje Y y haz clic en la casilla Label (Etiqueta).

Controles del eje Y

Los controles del eje Y están disponibles en la interfaz de usuario y en el editor JSON. Puedes establecer el valor y el tipo del eje y en:

  • Recorta el eje y a rangos específicos.
  • Cambia automáticamente los límites del eje Y en función de un umbral de valor absoluto. Este umbral puede aplicarse a uno o ambos extremos del gráfico (inferior y superior) para eliminar la serie “outlier”.
  • Cambia la escala del eje Y de linear a log, pow, o sqrt.

Están disponibles las siguientes opciones de configuración:

OpciónObligatorioDescripción
MinNoEspecifica el valor mínimo a mostrar en el eje Y. Toma un número o Auto como valor por defecto.
MaxNoEspecifica el valor máximo a mostrar en el eje Y. Toma un número o Auto como valor por defecto.
ScaleNoEspecifica el tipo de escala. Los valores posibles son:
- linear: una escala lineal (por defecto).
- log: una escala logarítmica.
- pow: una potencia de escala 2 (2 es el valor por defecto, modifícalo en JSON).
- sqrt: una escala de raíz cuadrada.
Always include zeroNoIncluye siempre cero o ajusta el eje Y al rango de datos. El valor predeterminado es incluir siempre cero.

Dado que la función matemática de log no acepta valores negativos, la escala de log de Datadog solo funciona si los valores son del mismo signo (todo > 0 o todo < 0). En caso contrario, se devuelve un gráfico vacío.

Configuración de leyenda

Puedes añadir leyendas configurables a tus tableros seleccionando una de las siguientes opciones en la sección Legend (Leyenda):

  • Automático (por defecto)
  • Compacto
  • Ampliado: columnas configurables para valor, media, suma, mín. y máx.
  • Ninguna

Para timeboards, las leyendas se muestran automáticamente cuando un dashboard se ajusta a L o XL.

Enlaces contextuales

Para añadir un enlace contextual en el menú desplegable que aparece al hacer clic en un widget de dashboard, haz clic en Add a Context Link (Añadir un enlace contextual) en la sección Context Links (Enlaces contextuales).

Para obtener más información sobre la edición y eliminación de enlaces contextuales, consulta Enlaces contextuales.

Pantalla completa

Además de las opciones estándar de pantalla completa, puedes aplicar funciones rápidas, comparar con periodos anteriores, ajustar la escala Y, guardar los cambios o guardarlos como un nuevo gráfico.

Para obtener más información, consulta Explorar tus datos en modo de gráfico a pantalla completa.

API

Este widget se puede utilizar con la API de dashboards. Consulta la siguiente tabla para obtener la definición del esquema JSON del widget:

Expand All

Campo

Tipo

Descripción

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_columns

[string]

Columns displayed in the legend.

legend_layout

enum

Layout of the legend. Allowed enum values: auto,horizontal,vertical

legend_size

string

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

markers

[object]

List of markers.

display_type

string

Combination of:

  • A severity error, warning, ok, or info
  • A line type: dashed, solid, or bold In this case of a Distribution widget, this can be set to be x_axis_percentile.

label

string

Label to display over the marker.

time

string

Timestamp for the widget.

value [required]

string

Value to apply. Can be a single value y = 15 or a range of values 0 < y < 10.

requests [required]

[object]

List of timeseries widget requests.

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.

audit_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.

display_type

enum

Type of display to use for the request. Allowed enum values: area,bars,line,overlay

event_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.

formulas

[object]

List of formulas that operate on queries.

alias

string

Expression alias.

cell_display_mode

enum

Define a display mode for the table cell. Allowed enum values: number,bar

conditional_formats

[object]

List of conditional formats.

comparator [required]

enum

Comparator to apply. Allowed enum values: =,>,>=,<,<=

custom_bg_color

string

Color palette to apply to the background, same values available as palette.

custom_fg_color

string

Color palette to apply to the foreground, same values available as palette.

hide_value

boolean

True hides values.

image_url

string

Displays an image as the background.

metric

string

Metric from the request to correlate this conditional format with.

palette [required]

enum

Color palette to apply. Allowed enum values: blue,custom_bg,custom_image,custom_text,gray_on_white,grey,green,orange,red,red_on_white,white_on_gray,white_on_green,green_on_white,white_on_red,white_on_yellow,yellow_on_white,black_on_light_yellow,black_on_light_green,black_on_light_red

timeframe

string

Defines the displayed timeframe.

value [required]

double

Value for the comparator.

formula [required]

string

String expression built from queries, formulas, and functions.

limit

object

Options for limiting results returned.

count

int64

Number of results to return.

order

enum

Direction of sort. Allowed enum values: asc,desc

default: desc

style

object

Styling options for widget formulas.

palette

string

The color palette used to display the formula. A guide to the available color palettes can be found at https://docs.datadoghq.com/dashboards/guide/widget_colors

palette_index

int64

Index specifying which color to use within the palette.

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.

metadata

[object]

Used to define expression aliases.

alias_name

string

Expression alias.

expression [required]

string

Expression name.

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.

on_right_yaxis

boolean

Whether or not to display a second y-axis on the right.

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.

queries

[ <oneOf>]

List of queries that can be returned directly or used in formulas.

Option 1

object

A formula and functions metrics query.

aggregator

enum

The aggregation methods available for metrics queries. Allowed enum values: avg,min,max,sum,last,area,l2norm,percentile

cross_org_uuids

[string]

The source organization UUID for cross organization queries. Feature in Private Beta.

data_source [required]

enum

Data source for metrics queries. Allowed enum values: metrics

name [required]

string

Name of the query for use in formulas.

query [required]

string

Metrics query definition.

Option 2

object

A formula and functions events query.

compute [required]

object

Compute options.

aggregation [required]

enum

Aggregation methods for event platform queries. Allowed enum values: count,cardinality,median,pc75,pc90,pc95,pc98,pc99,sum,min,max,avg

interval

int64

A time interval in milliseconds.

metric

string

Measurable attribute to compute.

cross_org_uuids

[string]

The source organization UUID for cross organization queries. Feature in Private Beta.

data_source [required]

enum

Data source for event platform-based queries. Allowed enum values: logs,spans,network,rum,security_signals,profiles,audit,events,ci_tests,ci_pipelines,incident_analytics

group_by

[object]

Group by options.

facet [required]

string

Event facet.

limit

int64

Number of groups to return.

sort

object

Options for sorting group by results.

aggregation [required]

enum

Aggregation methods for event platform queries. Allowed enum values: count,cardinality,median,pc75,pc90,pc95,pc98,pc99,sum,min,max,avg

metric

string

Metric used for sorting group by results.

order

enum

Direction of sort. Allowed enum values: asc,desc

default: desc

indexes

[string]

An array of index names to query in the stream. Omit or use [] to query all indexes at once.

name [required]

string

Name of the query for use in formulas.

search

object

Search options.

query [required]

string

Events search string.

storage

string

Option for storage location. Feature in Private Beta.

Option 3

object

Process query using formulas and functions.

aggregator

enum

The aggregation methods available for metrics queries. Allowed enum values: avg,min,max,sum,last,area,l2norm,percentile

cross_org_uuids

[string]

The source organization UUID for cross organization queries. Feature in Private Beta.

data_source [required]

enum

Data sources that rely on the process backend. Allowed enum values: process,container

is_normalized_cpu

boolean

Whether to normalize the CPU percentages.

limit

int64

Number of hits to return.

metric [required]

string

Process metric name.

name [required]

string

Name of query for use in formulas.

sort

enum

Direction of sort. Allowed enum values: asc,desc

default: desc

tag_filters

[string]

An array of tags to filter by.

text_filter

string

Text to use as filter.

Option 4

object

A formula and functions APM dependency stats query.

cross_org_uuids

[string]

The source organization UUID for cross organization queries. Feature in Private Beta.

data_source [required]

enum

Data source for APM dependency stats queries. Allowed enum values: apm_dependency_stats

env [required]

string

APM environment.

is_upstream

boolean

Determines whether stats for upstream or downstream dependencies should be queried.

name [required]

string

Name of query to use in formulas.

operation_name [required]

string

Name of operation on service.

primary_tag_name

string

The name of the second primary tag used within APM; required when primary_tag_value is specified. See https://docs.datadoghq.com/tracing/guide/setting_primary_tags_to_scope/#add-a-second-primary-tag-in-datadog.

primary_tag_value

string

Filter APM data by the second primary tag. primary_tag_name must also be specified.

resource_name [required]

string

APM resource.

service [required]

string

APM service.

stat [required]

enum

APM statistic. Allowed enum values: avg_duration,avg_root_duration,avg_spans_per_trace,error_rate,pct_exec_time,pct_of_traces,total_traces_count

Option 5

object

APM resource stats query using formulas and functions.

cross_org_uuids

[string]

The source organization UUID for cross organization queries. Feature in Private Beta.

data_source [required]

enum

Data source for APM resource stats queries. Allowed enum values: apm_resource_stats

env [required]

string

APM environment.

group_by

[string]

Array of fields to group results by.

name [required]

string

Name of this query to use in formulas.

operation_name

string

Name of operation on service.

primary_tag_name

string

Name of the second primary tag used within APM. Required when primary_tag_value is specified. See https://docs.datadoghq.com/tracing/guide/setting_primary_tags_to_scope/#add-a-second-primary-tag-in-datadog

primary_tag_value

string

Value of the second primary tag by which to filter APM data. primary_tag_name must also be specified.

resource_name

string

APM resource name.

service [required]

string

APM service name.

stat [required]

enum

APM resource stat name. Allowed enum values: errors,error_rate,hits,latency_avg,latency_distribution,latency_max,latency_p50,latency_p75,latency_p90,latency_p95,latency_p99

Option 6

object

A formula and functions metrics query.

additional_query_filters

string

Additional filters applied to the SLO query.

cross_org_uuids

[string]

The source organization UUID for cross organization queries. Feature in Private Beta.

data_source [required]

enum

Data source for SLO measures queries. Allowed enum values: slo

group_mode

enum

Group mode to query measures. Allowed enum values: overall,components

measure [required]

enum

SLO measures queries. Allowed enum values: good_events,bad_events,good_minutes,bad_minutes,slo_status,error_budget_remaining,burn_rate,error_budget_burndown

name

string

Name of the query for use in formulas.

slo_id [required]

string

ID of an SLO to query measures.

slo_query_type

enum

Name of the query for use in formulas. Allowed enum values: metric,time_slice

Option 7

object

A formula and functions Cloud Cost query.

aggregator

enum

Aggregator used for the request. Allowed enum values: avg,last,max,min,sum,percentile

cross_org_uuids

[string]

The source organization UUID for cross organization queries. Feature in Private Beta.

data_source [required]

enum

Data source for Cloud Cost queries. Allowed enum values: cloud_cost

name [required]

string

Name of the query for use in formulas.

query [required]

string

Query for Cloud Cost data.

response_format

enum

Timeseries, scalar, or event list response. Event list response formats are supported by Geomap widgets. Allowed enum values: timeseries,scalar,event_list

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

Define request widget style.

line_type

enum

Type of lines displayed. Allowed enum values: dashed,dotted,solid

line_width

enum

Width of line displayed. Allowed enum values: normal,thick,thin

palette

string

Color palette to apply to the widget.

right_yaxis

object

Axis controls for the widget.

include_zero

boolean

Set to true to include zero.

label

string

The label of the axis to display on the graph. Only usable on Scatterplot Widgets.

max

string

Specifies maximum numeric value to show on the axis. Defaults to auto.

default: auto

min

string

Specifies minimum numeric value to show on the axis. Defaults to auto.

default: auto

scale

string

Specifies the scale type. Possible values are linear, log, sqrt, and pow## (for example pow2 or pow0.5).

default: linear

show_legend

boolean

(screenboard only) Show the legend for this widget.

time

 <oneOf>

Time setting for the widget.

Option 1

object

Wrapper for live span

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,week_to_date,month_to_date,1y,alert

Option 2

object

Used for arbitrary live span times, such as 17 minutes or 6 hours.

type [required]

enum

Type "live" denotes a live span in the new format. Allowed enum values: live

unit [required]

enum

Unit of the time span. Allowed enum values: minute,hour,day,week,month,year

value [required]

int64

Value of the time span.

Option 3

object

Used for fixed span times, such as 'March 1 to March 7'.

from [required]

int64

Start time in seconds since epoch.

to [required]

int64

End time in seconds since epoch.

type [required]

enum

Type "fixed" denotes a fixed span. Allowed enum values: fixed

title

string

Title of your 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 timeseries widget. Allowed enum values: timeseries

default: timeseries

yaxis

object

Axis controls for the widget.

include_zero

boolean

Set to true to include zero.

label

string

The label of the axis to display on the graph. Only usable on Scatterplot Widgets.

max

string

Specifies maximum numeric value to show on the axis. Defaults to auto.

default: auto

min

string

Specifies minimum numeric value to show on the axis. Defaults to auto.

default: auto

scale

string

Specifies the scale type. Possible values are linear, log, sqrt, and pow## (for example pow2 or pow0.5).

default: linear

{
  "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_columns": [],
  "legend_layout": "string",
  "legend_size": "string",
  "markers": [
    {
      "display_type": "error dashed",
      "label": "Error threshold",
      "time": "string",
      "value": "y = 15"
    }
  ],
  "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": ""
        }
      },
      "audit_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": ""
        }
      },
      "display_type": "string",
      "event_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": ""
        }
      },
      "formulas": [
        {
          "alias": "string",
          "cell_display_mode": "number",
          "conditional_formats": [
            {
              "comparator": ">",
              "custom_bg_color": "string",
              "custom_fg_color": "string",
              "hide_value": false,
              "image_url": "string",
              "metric": "string",
              "palette": "blue",
              "timeframe": "string",
              "value": 0
            }
          ],
          "formula": "func(a) + b",
          "limit": {
            "count": "integer",
            "order": "string"
          },
          "style": {
            "palette": "classic",
            "palette_index": 1
          }
        }
      ],
      "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": ""
        }
      },
      "metadata": [
        {
          "alias_name": "string",
          "expression": ""
        }
      ],
      "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": ""
        }
      },
      "on_right_yaxis": false,
      "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": "string",
      "queries": [],
      "response_format": "timeseries",
      "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": {
        "line_type": "string",
        "line_width": "string",
        "palette": "string"
      }
    }
  ],
  "right_yaxis": {
    "include_zero": false,
    "label": "string",
    "max": "string",
    "min": "string",
    "scale": "string"
  },
  "show_legend": false,
  "time": {
    "live_span": "5m"
  },
  "title": "string",
  "title_align": "string",
  "title_size": "string",
  "type": "timeseries",
  "yaxis": {
    "include_zero": false,
    "label": "string",
    "max": "string",
    "min": "string",
    "scale": "string"
  }
}

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