datadog.LogsMetric
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Resource for interacting with the logs_metric API
Example Usage
import * as pulumi from "@pulumi/pulumi";
import * as datadog from "@pulumi/datadog";
const testingLogsMetric = new datadog.LogsMetric("testing_logs_metric", {
name: "testing.logs.metric",
compute: {
aggregationType: "distribution",
path: "@duration",
},
filter: {
query: "service:test",
},
groupBies: [
{
path: "@status",
tagName: "status",
},
{
path: "@version",
tagName: "version",
},
],
});
import pulumi
import pulumi_datadog as datadog
testing_logs_metric = datadog.LogsMetric("testing_logs_metric",
name="testing.logs.metric",
compute={
"aggregation_type": "distribution",
"path": "@duration",
},
filter={
"query": "service:test",
},
group_bies=[
{
"path": "@status",
"tag_name": "status",
},
{
"path": "@version",
"tag_name": "version",
},
])
package main
import (
"github.com/pulumi/pulumi-datadog/sdk/v4/go/datadog"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := datadog.NewLogsMetric(ctx, "testing_logs_metric", &datadog.LogsMetricArgs{
Name: pulumi.String("testing.logs.metric"),
Compute: &datadog.LogsMetricComputeArgs{
AggregationType: pulumi.String("distribution"),
Path: pulumi.String("@duration"),
},
Filter: &datadog.LogsMetricFilterArgs{
Query: pulumi.String("service:test"),
},
GroupBies: datadog.LogsMetricGroupByArray{
&datadog.LogsMetricGroupByArgs{
Path: pulumi.String("@status"),
TagName: pulumi.String("status"),
},
&datadog.LogsMetricGroupByArgs{
Path: pulumi.String("@version"),
TagName: pulumi.String("version"),
},
},
})
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Datadog = Pulumi.Datadog;
return await Deployment.RunAsync(() =>
{
var testingLogsMetric = new Datadog.LogsMetric("testing_logs_metric", new()
{
Name = "testing.logs.metric",
Compute = new Datadog.Inputs.LogsMetricComputeArgs
{
AggregationType = "distribution",
Path = "@duration",
},
Filter = new Datadog.Inputs.LogsMetricFilterArgs
{
Query = "service:test",
},
GroupBies = new[]
{
new Datadog.Inputs.LogsMetricGroupByArgs
{
Path = "@status",
TagName = "status",
},
new Datadog.Inputs.LogsMetricGroupByArgs
{
Path = "@version",
TagName = "version",
},
},
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.datadog.LogsMetric;
import com.pulumi.datadog.LogsMetricArgs;
import com.pulumi.datadog.inputs.LogsMetricComputeArgs;
import com.pulumi.datadog.inputs.LogsMetricFilterArgs;
import com.pulumi.datadog.inputs.LogsMetricGroupByArgs;
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 testingLogsMetric = new LogsMetric("testingLogsMetric", LogsMetricArgs.builder()
.name("testing.logs.metric")
.compute(LogsMetricComputeArgs.builder()
.aggregationType("distribution")
.path("@duration")
.build())
.filter(LogsMetricFilterArgs.builder()
.query("service:test")
.build())
.groupBies(
LogsMetricGroupByArgs.builder()
.path("@status")
.tagName("status")
.build(),
LogsMetricGroupByArgs.builder()
.path("@version")
.tagName("version")
.build())
.build());
}
}
resources:
testingLogsMetric:
type: datadog:LogsMetric
name: testing_logs_metric
properties:
name: testing.logs.metric
compute:
aggregationType: distribution
path: '@duration'
filter:
query: service:test
groupBies:
- path: '@status'
tagName: status
- path: '@version'
tagName: version
Create LogsMetric Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new LogsMetric(name: string, args: LogsMetricArgs, opts?: CustomResourceOptions);
@overload
def LogsMetric(resource_name: str,
args: LogsMetricArgs,
opts: Optional[ResourceOptions] = None)
@overload
def LogsMetric(resource_name: str,
opts: Optional[ResourceOptions] = None,
compute: Optional[LogsMetricComputeArgs] = None,
filter: Optional[LogsMetricFilterArgs] = None,
name: Optional[str] = None,
group_bies: Optional[Sequence[LogsMetricGroupByArgs]] = None)
func NewLogsMetric(ctx *Context, name string, args LogsMetricArgs, opts ...ResourceOption) (*LogsMetric, error)
public LogsMetric(string name, LogsMetricArgs args, CustomResourceOptions? opts = null)
public LogsMetric(String name, LogsMetricArgs args)
public LogsMetric(String name, LogsMetricArgs args, CustomResourceOptions options)
type: datadog:LogsMetric
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 LogsMetricArgs
- 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 LogsMetricArgs
- 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 LogsMetricArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args LogsMetricArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args LogsMetricArgs
- 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 logsMetricResource = new Datadog.LogsMetric("logsMetricResource", new()
{
Compute = new Datadog.Inputs.LogsMetricComputeArgs
{
AggregationType = "string",
IncludePercentiles = false,
Path = "string",
},
Filter = new Datadog.Inputs.LogsMetricFilterArgs
{
Query = "string",
},
Name = "string",
GroupBies = new[]
{
new Datadog.Inputs.LogsMetricGroupByArgs
{
Path = "string",
TagName = "string",
},
},
});
example, err := datadog.NewLogsMetric(ctx, "logsMetricResource", &datadog.LogsMetricArgs{
Compute: &datadog.LogsMetricComputeArgs{
AggregationType: pulumi.String("string"),
IncludePercentiles: pulumi.Bool(false),
Path: pulumi.String("string"),
},
Filter: &datadog.LogsMetricFilterArgs{
Query: pulumi.String("string"),
},
Name: pulumi.String("string"),
GroupBies: datadog.LogsMetricGroupByArray{
&datadog.LogsMetricGroupByArgs{
Path: pulumi.String("string"),
TagName: pulumi.String("string"),
},
},
})
var logsMetricResource = new LogsMetric("logsMetricResource", LogsMetricArgs.builder()
.compute(LogsMetricComputeArgs.builder()
.aggregationType("string")
.includePercentiles(false)
.path("string")
.build())
.filter(LogsMetricFilterArgs.builder()
.query("string")
.build())
.name("string")
.groupBies(LogsMetricGroupByArgs.builder()
.path("string")
.tagName("string")
.build())
.build());
logs_metric_resource = datadog.LogsMetric("logsMetricResource",
compute={
"aggregation_type": "string",
"include_percentiles": False,
"path": "string",
},
filter={
"query": "string",
},
name="string",
group_bies=[{
"path": "string",
"tag_name": "string",
}])
const logsMetricResource = new datadog.LogsMetric("logsMetricResource", {
compute: {
aggregationType: "string",
includePercentiles: false,
path: "string",
},
filter: {
query: "string",
},
name: "string",
groupBies: [{
path: "string",
tagName: "string",
}],
});
type: datadog:LogsMetric
properties:
compute:
aggregationType: string
includePercentiles: false
path: string
filter:
query: string
groupBies:
- path: string
tagName: string
name: string
LogsMetric 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 LogsMetric resource accepts the following input properties:
- Compute
Logs
Metric Compute - The compute rule to compute the log-based metric. This field can't be updated after creation.
- Filter
Logs
Metric Filter - The log-based metric filter. Logs matching this filter will be aggregated in this metric.
- Name string
- The name of the log-based metric. This field can't be updated after creation.
- Group
Bies List<LogsMetric Group By> - The rules for the group by.
- Compute
Logs
Metric Compute Args - The compute rule to compute the log-based metric. This field can't be updated after creation.
- Filter
Logs
Metric Filter Args - The log-based metric filter. Logs matching this filter will be aggregated in this metric.
- Name string
- The name of the log-based metric. This field can't be updated after creation.
- Group
Bies []LogsMetric Group By Args - The rules for the group by.
- compute
Logs
Metric Compute - The compute rule to compute the log-based metric. This field can't be updated after creation.
- filter
Logs
Metric Filter - The log-based metric filter. Logs matching this filter will be aggregated in this metric.
- name String
- The name of the log-based metric. This field can't be updated after creation.
- group
Bies List<LogsMetric Group By> - The rules for the group by.
- compute
Logs
Metric Compute - The compute rule to compute the log-based metric. This field can't be updated after creation.
- filter
Logs
Metric Filter - The log-based metric filter. Logs matching this filter will be aggregated in this metric.
- name string
- The name of the log-based metric. This field can't be updated after creation.
- group
Bies LogsMetric Group By[] - The rules for the group by.
- compute
Logs
Metric Compute Args - The compute rule to compute the log-based metric. This field can't be updated after creation.
- filter
Logs
Metric Filter Args - The log-based metric filter. Logs matching this filter will be aggregated in this metric.
- name str
- The name of the log-based metric. This field can't be updated after creation.
- group_
bies Sequence[LogsMetric Group By Args] - The rules for the group by.
- compute Property Map
- The compute rule to compute the log-based metric. This field can't be updated after creation.
- filter Property Map
- The log-based metric filter. Logs matching this filter will be aggregated in this metric.
- name String
- The name of the log-based metric. This field can't be updated after creation.
- group
Bies List<Property Map> - The rules for the group by.
Outputs
All input properties are implicitly available as output properties. Additionally, the LogsMetric 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 LogsMetric Resource
Get an existing LogsMetric 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?: LogsMetricState, opts?: CustomResourceOptions): LogsMetric
@staticmethod
def get(resource_name: str,
id: str,
opts: Optional[ResourceOptions] = None,
compute: Optional[LogsMetricComputeArgs] = None,
filter: Optional[LogsMetricFilterArgs] = None,
group_bies: Optional[Sequence[LogsMetricGroupByArgs]] = None,
name: Optional[str] = None) -> LogsMetric
func GetLogsMetric(ctx *Context, name string, id IDInput, state *LogsMetricState, opts ...ResourceOption) (*LogsMetric, error)
public static LogsMetric Get(string name, Input<string> id, LogsMetricState? state, CustomResourceOptions? opts = null)
public static LogsMetric get(String name, Output<String> id, LogsMetricState 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.
- Compute
Logs
Metric Compute - The compute rule to compute the log-based metric. This field can't be updated after creation.
- Filter
Logs
Metric Filter - The log-based metric filter. Logs matching this filter will be aggregated in this metric.
- Group
Bies List<LogsMetric Group By> - The rules for the group by.
- Name string
- The name of the log-based metric. This field can't be updated after creation.
- Compute
Logs
Metric Compute Args - The compute rule to compute the log-based metric. This field can't be updated after creation.
- Filter
Logs
Metric Filter Args - The log-based metric filter. Logs matching this filter will be aggregated in this metric.
- Group
Bies []LogsMetric Group By Args - The rules for the group by.
- Name string
- The name of the log-based metric. This field can't be updated after creation.
- compute
Logs
Metric Compute - The compute rule to compute the log-based metric. This field can't be updated after creation.
- filter
Logs
Metric Filter - The log-based metric filter. Logs matching this filter will be aggregated in this metric.
- group
Bies List<LogsMetric Group By> - The rules for the group by.
- name String
- The name of the log-based metric. This field can't be updated after creation.
- compute
Logs
Metric Compute - The compute rule to compute the log-based metric. This field can't be updated after creation.
- filter
Logs
Metric Filter - The log-based metric filter. Logs matching this filter will be aggregated in this metric.
- group
Bies LogsMetric Group By[] - The rules for the group by.
- name string
- The name of the log-based metric. This field can't be updated after creation.
- compute
Logs
Metric Compute Args - The compute rule to compute the log-based metric. This field can't be updated after creation.
- filter
Logs
Metric Filter Args - The log-based metric filter. Logs matching this filter will be aggregated in this metric.
- group_
bies Sequence[LogsMetric Group By Args] - The rules for the group by.
- name str
- The name of the log-based metric. This field can't be updated after creation.
- compute Property Map
- The compute rule to compute the log-based metric. This field can't be updated after creation.
- filter Property Map
- The log-based metric filter. Logs matching this filter will be aggregated in this metric.
- group
Bies List<Property Map> - The rules for the group by.
- name String
- The name of the log-based metric. This field can't be updated after creation.
Supporting Types
LogsMetricCompute, LogsMetricComputeArgs
- Aggregation
Type string - The type of aggregation to use. This field can't be updated after creation. Valid values are
count
,distribution
. - Include
Percentiles bool - Toggle to include/exclude percentiles for a distribution metric. Defaults to false. Can only be applied to metrics that have an
aggregation_type
of distribution. - Path string
- The path to the value the log-based metric will aggregate on (only used if the aggregation type is a "distribution"). This field can't be updated after creation.
- Aggregation
Type string - The type of aggregation to use. This field can't be updated after creation. Valid values are
count
,distribution
. - Include
Percentiles bool - Toggle to include/exclude percentiles for a distribution metric. Defaults to false. Can only be applied to metrics that have an
aggregation_type
of distribution. - Path string
- The path to the value the log-based metric will aggregate on (only used if the aggregation type is a "distribution"). This field can't be updated after creation.
- aggregation
Type String - The type of aggregation to use. This field can't be updated after creation. Valid values are
count
,distribution
. - include
Percentiles Boolean - Toggle to include/exclude percentiles for a distribution metric. Defaults to false. Can only be applied to metrics that have an
aggregation_type
of distribution. - path String
- The path to the value the log-based metric will aggregate on (only used if the aggregation type is a "distribution"). This field can't be updated after creation.
- aggregation
Type string - The type of aggregation to use. This field can't be updated after creation. Valid values are
count
,distribution
. - include
Percentiles boolean - Toggle to include/exclude percentiles for a distribution metric. Defaults to false. Can only be applied to metrics that have an
aggregation_type
of distribution. - path string
- The path to the value the log-based metric will aggregate on (only used if the aggregation type is a "distribution"). This field can't be updated after creation.
- aggregation_
type str - The type of aggregation to use. This field can't be updated after creation. Valid values are
count
,distribution
. - include_
percentiles bool - Toggle to include/exclude percentiles for a distribution metric. Defaults to false. Can only be applied to metrics that have an
aggregation_type
of distribution. - path str
- The path to the value the log-based metric will aggregate on (only used if the aggregation type is a "distribution"). This field can't be updated after creation.
- aggregation
Type String - The type of aggregation to use. This field can't be updated after creation. Valid values are
count
,distribution
. - include
Percentiles Boolean - Toggle to include/exclude percentiles for a distribution metric. Defaults to false. Can only be applied to metrics that have an
aggregation_type
of distribution. - path String
- The path to the value the log-based metric will aggregate on (only used if the aggregation type is a "distribution"). This field can't be updated after creation.
LogsMetricFilter, LogsMetricFilterArgs
- Query string
- The search query - following the log search syntax.
- Query string
- The search query - following the log search syntax.
- query String
- The search query - following the log search syntax.
- query string
- The search query - following the log search syntax.
- query str
- The search query - following the log search syntax.
- query String
- The search query - following the log search syntax.
LogsMetricGroupBy, LogsMetricGroupByArgs
Import
$ pulumi import datadog:index/logsMetric:LogsMetric testing_logs_metric testing.logs.metric
To learn more about importing existing cloud resources, see Importing resources.
Package Details
- Repository
- Datadog pulumi/pulumi-datadog
- License
- Apache-2.0
- Notes
- This Pulumi package is based on the
datadog
Terraform Provider.