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  5. Dashboard
Google Cloud Classic v8.9.3 published on Monday, Nov 18, 2024 by Pulumi

gcp.monitoring.Dashboard

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Google Cloud Classic v8.9.3 published on Monday, Nov 18, 2024 by Pulumi

    A Google Stackdriver dashboard. Dashboards define the content and layout of pages in the Stackdriver web application.

    To get more information about Dashboards, see:

    Example Usage

    Monitoring Dashboard Basic

    import * as pulumi from "@pulumi/pulumi";
    import * as gcp from "@pulumi/gcp";
    
    const dashboard = new gcp.monitoring.Dashboard("dashboard", {dashboardJson: `{
      "displayName": "Demo Dashboard",
      "gridLayout": {
        "widgets": [
          {
            "blank": {}
          }
        ]
      }
    }
    
    `});
    
    import pulumi
    import pulumi_gcp as gcp
    
    dashboard = gcp.monitoring.Dashboard("dashboard", dashboard_json="""{
      "displayName": "Demo Dashboard",
      "gridLayout": {
        "widgets": [
          {
            "blank": {}
          }
        ]
      }
    }
    
    """)
    
    package main
    
    import (
    	"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/monitoring"
    	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
    )
    
    func main() {
    	pulumi.Run(func(ctx *pulumi.Context) error {
    		_, err := monitoring.NewDashboard(ctx, "dashboard", &monitoring.DashboardArgs{
    			DashboardJson: pulumi.String(`{
      "displayName": "Demo Dashboard",
      "gridLayout": {
        "widgets": [
          {
            "blank": {}
          }
        ]
      }
    }
    
    `),
    		})
    		if err != nil {
    			return err
    		}
    		return nil
    	})
    }
    
    using System.Collections.Generic;
    using System.Linq;
    using Pulumi;
    using Gcp = Pulumi.Gcp;
    
    return await Deployment.RunAsync(() => 
    {
        var dashboard = new Gcp.Monitoring.Dashboard("dashboard", new()
        {
            DashboardJson = @"{
      ""displayName"": ""Demo Dashboard"",
      ""gridLayout"": {
        ""widgets"": [
          {
            ""blank"": {}
          }
        ]
      }
    }
    
    ",
        });
    
    });
    
    package generated_program;
    
    import com.pulumi.Context;
    import com.pulumi.Pulumi;
    import com.pulumi.core.Output;
    import com.pulumi.gcp.monitoring.Dashboard;
    import com.pulumi.gcp.monitoring.DashboardArgs;
    import java.util.List;
    import java.util.ArrayList;
    import java.util.Map;
    import java.io.File;
    import java.nio.file.Files;
    import java.nio.file.Paths;
    
    public class App {
        public static void main(String[] args) {
            Pulumi.run(App::stack);
        }
    
        public static void stack(Context ctx) {
            var dashboard = new Dashboard("dashboard", DashboardArgs.builder()
                .dashboardJson("""
    {
      "displayName": "Demo Dashboard",
      "gridLayout": {
        "widgets": [
          {
            "blank": {}
          }
        ]
      }
    }
    
                """)
                .build());
    
        }
    }
    
    resources:
      dashboard:
        type: gcp:monitoring:Dashboard
        properties:
          dashboardJson: |+
            {
              "displayName": "Demo Dashboard",
              "gridLayout": {
                "widgets": [
                  {
                    "blank": {}
                  }
                ]
              }
            }        
    

    Monitoring Dashboard GridLayout

    import * as pulumi from "@pulumi/pulumi";
    import * as gcp from "@pulumi/gcp";
    
    const dashboard = new gcp.monitoring.Dashboard("dashboard", {dashboardJson: `{
      "displayName": "Grid Layout Example",
      "gridLayout": {
        "columns": "2",
        "widgets": [
          {
            "title": "Widget 1",
            "xyChart": {
              "dataSets": [{
                "timeSeriesQuery": {
                  "timeSeriesFilter": {
                    "filter": "metric.type=\\"agent.googleapis.com/nginx/connections/accepted_count\\"",
                    "aggregation": {
                      "perSeriesAligner": "ALIGN_RATE"
                    }
                  },
                  "unitOverride": "1"
                },
                "plotType": "LINE"
              }],
              "timeshiftDuration": "0s",
              "yAxis": {
                "label": "y1Axis",
                "scale": "LINEAR"
              }
            }
          },
          {
            "text": {
              "content": "Widget 2",
              "format": "MARKDOWN"
            }
          },
          {
            "title": "Widget 3",
            "xyChart": {
              "dataSets": [{
                "timeSeriesQuery": {
                  "timeSeriesFilter": {
                    "filter": "metric.type=\\"agent.googleapis.com/nginx/connections/accepted_count\\"",
                    "aggregation": {
                      "perSeriesAligner": "ALIGN_RATE"
                    }
                  },
                  "unitOverride": "1"
                },
                "plotType": "STACKED_BAR"
              }],
              "timeshiftDuration": "0s",
              "yAxis": {
                "label": "y1Axis",
                "scale": "LINEAR"
              }
            }
          }
        ]
      }
    }
    
    `});
    
    import pulumi
    import pulumi_gcp as gcp
    
    dashboard = gcp.monitoring.Dashboard("dashboard", dashboard_json="""{
      "displayName": "Grid Layout Example",
      "gridLayout": {
        "columns": "2",
        "widgets": [
          {
            "title": "Widget 1",
            "xyChart": {
              "dataSets": [{
                "timeSeriesQuery": {
                  "timeSeriesFilter": {
                    "filter": "metric.type=\"agent.googleapis.com/nginx/connections/accepted_count\"",
                    "aggregation": {
                      "perSeriesAligner": "ALIGN_RATE"
                    }
                  },
                  "unitOverride": "1"
                },
                "plotType": "LINE"
              }],
              "timeshiftDuration": "0s",
              "yAxis": {
                "label": "y1Axis",
                "scale": "LINEAR"
              }
            }
          },
          {
            "text": {
              "content": "Widget 2",
              "format": "MARKDOWN"
            }
          },
          {
            "title": "Widget 3",
            "xyChart": {
              "dataSets": [{
                "timeSeriesQuery": {
                  "timeSeriesFilter": {
                    "filter": "metric.type=\"agent.googleapis.com/nginx/connections/accepted_count\"",
                    "aggregation": {
                      "perSeriesAligner": "ALIGN_RATE"
                    }
                  },
                  "unitOverride": "1"
                },
                "plotType": "STACKED_BAR"
              }],
              "timeshiftDuration": "0s",
              "yAxis": {
                "label": "y1Axis",
                "scale": "LINEAR"
              }
            }
          }
        ]
      }
    }
    
    """)
    
    package main
    
    import (
    	"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/monitoring"
    	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
    )
    
    func main() {
    	pulumi.Run(func(ctx *pulumi.Context) error {
    		_, err := monitoring.NewDashboard(ctx, "dashboard", &monitoring.DashboardArgs{
    			DashboardJson: pulumi.String(`{
      "displayName": "Grid Layout Example",
      "gridLayout": {
        "columns": "2",
        "widgets": [
          {
            "title": "Widget 1",
            "xyChart": {
              "dataSets": [{
                "timeSeriesQuery": {
                  "timeSeriesFilter": {
                    "filter": "metric.type=\"agent.googleapis.com/nginx/connections/accepted_count\"",
                    "aggregation": {
                      "perSeriesAligner": "ALIGN_RATE"
                    }
                  },
                  "unitOverride": "1"
                },
                "plotType": "LINE"
              }],
              "timeshiftDuration": "0s",
              "yAxis": {
                "label": "y1Axis",
                "scale": "LINEAR"
              }
            }
          },
          {
            "text": {
              "content": "Widget 2",
              "format": "MARKDOWN"
            }
          },
          {
            "title": "Widget 3",
            "xyChart": {
              "dataSets": [{
                "timeSeriesQuery": {
                  "timeSeriesFilter": {
                    "filter": "metric.type=\"agent.googleapis.com/nginx/connections/accepted_count\"",
                    "aggregation": {
                      "perSeriesAligner": "ALIGN_RATE"
                    }
                  },
                  "unitOverride": "1"
                },
                "plotType": "STACKED_BAR"
              }],
              "timeshiftDuration": "0s",
              "yAxis": {
                "label": "y1Axis",
                "scale": "LINEAR"
              }
            }
          }
        ]
      }
    }
    
    `),
    		})
    		if err != nil {
    			return err
    		}
    		return nil
    	})
    }
    
    using System.Collections.Generic;
    using System.Linq;
    using Pulumi;
    using Gcp = Pulumi.Gcp;
    
    return await Deployment.RunAsync(() => 
    {
        var dashboard = new Gcp.Monitoring.Dashboard("dashboard", new()
        {
            DashboardJson = @"{
      ""displayName"": ""Grid Layout Example"",
      ""gridLayout"": {
        ""columns"": ""2"",
        ""widgets"": [
          {
            ""title"": ""Widget 1"",
            ""xyChart"": {
              ""dataSets"": [{
                ""timeSeriesQuery"": {
                  ""timeSeriesFilter"": {
                    ""filter"": ""metric.type=\""agent.googleapis.com/nginx/connections/accepted_count\"""",
                    ""aggregation"": {
                      ""perSeriesAligner"": ""ALIGN_RATE""
                    }
                  },
                  ""unitOverride"": ""1""
                },
                ""plotType"": ""LINE""
              }],
              ""timeshiftDuration"": ""0s"",
              ""yAxis"": {
                ""label"": ""y1Axis"",
                ""scale"": ""LINEAR""
              }
            }
          },
          {
            ""text"": {
              ""content"": ""Widget 2"",
              ""format"": ""MARKDOWN""
            }
          },
          {
            ""title"": ""Widget 3"",
            ""xyChart"": {
              ""dataSets"": [{
                ""timeSeriesQuery"": {
                  ""timeSeriesFilter"": {
                    ""filter"": ""metric.type=\""agent.googleapis.com/nginx/connections/accepted_count\"""",
                    ""aggregation"": {
                      ""perSeriesAligner"": ""ALIGN_RATE""
                    }
                  },
                  ""unitOverride"": ""1""
                },
                ""plotType"": ""STACKED_BAR""
              }],
              ""timeshiftDuration"": ""0s"",
              ""yAxis"": {
                ""label"": ""y1Axis"",
                ""scale"": ""LINEAR""
              }
            }
          }
        ]
      }
    }
    
    ",
        });
    
    });
    
    package generated_program;
    
    import com.pulumi.Context;
    import com.pulumi.Pulumi;
    import com.pulumi.core.Output;
    import com.pulumi.gcp.monitoring.Dashboard;
    import com.pulumi.gcp.monitoring.DashboardArgs;
    import java.util.List;
    import java.util.ArrayList;
    import java.util.Map;
    import java.io.File;
    import java.nio.file.Files;
    import java.nio.file.Paths;
    
    public class App {
        public static void main(String[] args) {
            Pulumi.run(App::stack);
        }
    
        public static void stack(Context ctx) {
            var dashboard = new Dashboard("dashboard", DashboardArgs.builder()
                .dashboardJson("""
    {
      "displayName": "Grid Layout Example",
      "gridLayout": {
        "columns": "2",
        "widgets": [
          {
            "title": "Widget 1",
            "xyChart": {
              "dataSets": [{
                "timeSeriesQuery": {
                  "timeSeriesFilter": {
                    "filter": "metric.type=\"agent.googleapis.com/nginx/connections/accepted_count\"",
                    "aggregation": {
                      "perSeriesAligner": "ALIGN_RATE"
                    }
                  },
                  "unitOverride": "1"
                },
                "plotType": "LINE"
              }],
              "timeshiftDuration": "0s",
              "yAxis": {
                "label": "y1Axis",
                "scale": "LINEAR"
              }
            }
          },
          {
            "text": {
              "content": "Widget 2",
              "format": "MARKDOWN"
            }
          },
          {
            "title": "Widget 3",
            "xyChart": {
              "dataSets": [{
                "timeSeriesQuery": {
                  "timeSeriesFilter": {
                    "filter": "metric.type=\"agent.googleapis.com/nginx/connections/accepted_count\"",
                    "aggregation": {
                      "perSeriesAligner": "ALIGN_RATE"
                    }
                  },
                  "unitOverride": "1"
                },
                "plotType": "STACKED_BAR"
              }],
              "timeshiftDuration": "0s",
              "yAxis": {
                "label": "y1Axis",
                "scale": "LINEAR"
              }
            }
          }
        ]
      }
    }
    
                """)
                .build());
    
        }
    }
    
    resources:
      dashboard:
        type: gcp:monitoring:Dashboard
        properties:
          dashboardJson: |+
            {
              "displayName": "Grid Layout Example",
              "gridLayout": {
                "columns": "2",
                "widgets": [
                  {
                    "title": "Widget 1",
                    "xyChart": {
                      "dataSets": [{
                        "timeSeriesQuery": {
                          "timeSeriesFilter": {
                            "filter": "metric.type=\"agent.googleapis.com/nginx/connections/accepted_count\"",
                            "aggregation": {
                              "perSeriesAligner": "ALIGN_RATE"
                            }
                          },
                          "unitOverride": "1"
                        },
                        "plotType": "LINE"
                      }],
                      "timeshiftDuration": "0s",
                      "yAxis": {
                        "label": "y1Axis",
                        "scale": "LINEAR"
                      }
                    }
                  },
                  {
                    "text": {
                      "content": "Widget 2",
                      "format": "MARKDOWN"
                    }
                  },
                  {
                    "title": "Widget 3",
                    "xyChart": {
                      "dataSets": [{
                        "timeSeriesQuery": {
                          "timeSeriesFilter": {
                            "filter": "metric.type=\"agent.googleapis.com/nginx/connections/accepted_count\"",
                            "aggregation": {
                              "perSeriesAligner": "ALIGN_RATE"
                            }
                          },
                          "unitOverride": "1"
                        },
                        "plotType": "STACKED_BAR"
                      }],
                      "timeshiftDuration": "0s",
                      "yAxis": {
                        "label": "y1Axis",
                        "scale": "LINEAR"
                      }
                    }
                  }
                ]
              }
            }        
    

    Create Dashboard Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new Dashboard(name: string, args: DashboardArgs, opts?: CustomResourceOptions);
    @overload
    def Dashboard(resource_name: str,
                  args: DashboardArgs,
                  opts: Optional[ResourceOptions] = None)
    
    @overload
    def Dashboard(resource_name: str,
                  opts: Optional[ResourceOptions] = None,
                  dashboard_json: Optional[str] = None,
                  project: Optional[str] = None)
    func NewDashboard(ctx *Context, name string, args DashboardArgs, opts ...ResourceOption) (*Dashboard, error)
    public Dashboard(string name, DashboardArgs args, CustomResourceOptions? opts = null)
    public Dashboard(String name, DashboardArgs args)
    public Dashboard(String name, DashboardArgs args, CustomResourceOptions options)
    
    type: gcp:monitoring:Dashboard
    properties: # The arguments to resource properties.
    options: # Bag of options to control resource's behavior.
    
    

    Parameters

    name string
    The unique name of the resource.
    args DashboardArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    resource_name str
    The unique name of the resource.
    args DashboardArgs
    The arguments to resource properties.
    opts ResourceOptions
    Bag of options to control resource's behavior.
    ctx Context
    Context object for the current deployment.
    name string
    The unique name of the resource.
    args DashboardArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args DashboardArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args DashboardArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Constructor example

    The following reference example uses placeholder values for all input properties.

    var dashboardResource = new Gcp.Monitoring.Dashboard("dashboardResource", new()
    {
        DashboardJson = "string",
        Project = "string",
    });
    
    example, err := monitoring.NewDashboard(ctx, "dashboardResource", &monitoring.DashboardArgs{
    	DashboardJson: pulumi.String("string"),
    	Project:       pulumi.String("string"),
    })
    
    var dashboardResource = new Dashboard("dashboardResource", DashboardArgs.builder()
        .dashboardJson("string")
        .project("string")
        .build());
    
    dashboard_resource = gcp.monitoring.Dashboard("dashboardResource",
        dashboard_json="string",
        project="string")
    
    const dashboardResource = new gcp.monitoring.Dashboard("dashboardResource", {
        dashboardJson: "string",
        project: "string",
    });
    
    type: gcp:monitoring:Dashboard
    properties:
        dashboardJson: string
        project: string
    

    Dashboard Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

    The Dashboard resource accepts the following input properties:

    DashboardJson string
    The JSON representation of a dashboard, following the format at https://cloud.google.com/monitoring/api/ref_v3/rest/v1/projects.dashboards.
    Project string
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    DashboardJson string
    The JSON representation of a dashboard, following the format at https://cloud.google.com/monitoring/api/ref_v3/rest/v1/projects.dashboards.
    Project string
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    dashboardJson String
    The JSON representation of a dashboard, following the format at https://cloud.google.com/monitoring/api/ref_v3/rest/v1/projects.dashboards.
    project String
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    dashboardJson string
    The JSON representation of a dashboard, following the format at https://cloud.google.com/monitoring/api/ref_v3/rest/v1/projects.dashboards.
    project string
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    dashboard_json str
    The JSON representation of a dashboard, following the format at https://cloud.google.com/monitoring/api/ref_v3/rest/v1/projects.dashboards.
    project str
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    dashboardJson String
    The JSON representation of a dashboard, following the format at https://cloud.google.com/monitoring/api/ref_v3/rest/v1/projects.dashboards.
    project String
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

    Outputs

    All input properties are implicitly available as output properties. Additionally, the Dashboard resource produces the following output properties:

    Id string
    The provider-assigned unique ID for this managed resource.
    Id string
    The provider-assigned unique ID for this managed resource.
    id String
    The provider-assigned unique ID for this managed resource.
    id string
    The provider-assigned unique ID for this managed resource.
    id str
    The provider-assigned unique ID for this managed resource.
    id String
    The provider-assigned unique ID for this managed resource.

    Look up Existing Dashboard Resource

    Get an existing Dashboard resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.

    public static get(name: string, id: Input<ID>, state?: DashboardState, opts?: CustomResourceOptions): Dashboard
    @staticmethod
    def get(resource_name: str,
            id: str,
            opts: Optional[ResourceOptions] = None,
            dashboard_json: Optional[str] = None,
            project: Optional[str] = None) -> Dashboard
    func GetDashboard(ctx *Context, name string, id IDInput, state *DashboardState, opts ...ResourceOption) (*Dashboard, error)
    public static Dashboard Get(string name, Input<string> id, DashboardState? state, CustomResourceOptions? opts = null)
    public static Dashboard get(String name, Output<String> id, DashboardState state, CustomResourceOptions options)
    Resource lookup is not supported in YAML
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    resource_name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    The following state arguments are supported:
    DashboardJson string
    The JSON representation of a dashboard, following the format at https://cloud.google.com/monitoring/api/ref_v3/rest/v1/projects.dashboards.
    Project string
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    DashboardJson string
    The JSON representation of a dashboard, following the format at https://cloud.google.com/monitoring/api/ref_v3/rest/v1/projects.dashboards.
    Project string
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    dashboardJson String
    The JSON representation of a dashboard, following the format at https://cloud.google.com/monitoring/api/ref_v3/rest/v1/projects.dashboards.
    project String
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    dashboardJson string
    The JSON representation of a dashboard, following the format at https://cloud.google.com/monitoring/api/ref_v3/rest/v1/projects.dashboards.
    project string
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    dashboard_json str
    The JSON representation of a dashboard, following the format at https://cloud.google.com/monitoring/api/ref_v3/rest/v1/projects.dashboards.
    project str
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
    dashboardJson String
    The JSON representation of a dashboard, following the format at https://cloud.google.com/monitoring/api/ref_v3/rest/v1/projects.dashboards.
    project String
    The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

    Import

    Dashboard can be imported using any of these accepted formats:

    • projects/{{project}}/dashboards/{{dashboard_id}}

    • {{dashboard_id}}

    When using the pulumi import command, Dashboard can be imported using one of the formats above. For example:

    $ pulumi import gcp:monitoring/dashboard:Dashboard default projects/{{project}}/dashboards/{{dashboard_id}}
    
    $ pulumi import gcp:monitoring/dashboard:Dashboard default {{dashboard_id}}
    

    To learn more about importing existing cloud resources, see Importing resources.

    Package Details

    Repository
    Google Cloud (GCP) Classic pulumi/pulumi-gcp
    License
    Apache-2.0
    Notes
    This Pulumi package is based on the google-beta Terraform Provider.
    gcp logo
    Google Cloud Classic v8.9.3 published on Monday, Nov 18, 2024 by Pulumi