honeycombio.Slo

Honeycomb 0.43.0, Nov 26 25

Honeycomb 0.43.0 published on Wednesday, Nov 26, 2025 by honeycombio

Schema (JSON)

honeycombio/terraform-provider-honeycombio

Honeycomb 0.43.0 published on Wednesday, Nov 26, 2025 by honeycombio

Schema (JSON)

honeycombio/terraform-provider-honeycombio

# Resource:<span pulumi-lang-nodejs=" honeycombio.Slo

" pulumi-lang-dotnet=" honeycombio.Slo " pulumi-lang-go=" Slo " pulumi-lang-python=" Slo " pulumi-lang-yaml=" honeycombio.Slo " pulumi-lang-java=" honeycombio.Slo “> honeycombio.Slo Creates a service level objective (SLO). For more information about SLOs, check out Set Service Level Objectives (SLOs).

Example Usage

Multi-dataset SLO

$ pulumi import honeycombio:index/slo:Slo my_slo bj9BwOb1uKz

You can find the ID in the URL bar when visiting the SLO from the UI.

Create Slo Resource

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

Constructor syntax

new Slo(name: string, args: SloArgs, opts?: CustomResourceOptions);

@overload
def Slo(resource_name: str,
        args: SloArgs,
        opts: Optional[ResourceOptions] = None)

@overload
def Slo(resource_name: str,
        opts: Optional[ResourceOptions] = None,
        sli: Optional[str] = None,
        target_percentage: Optional[float] = None,
        time_period: Optional[float] = None,
        dataset: Optional[str] = None,
        datasets: Optional[Sequence[str]] = None,
        description: Optional[str] = None,
        name: Optional[str] = None,
        tags: Optional[Mapping[str, str]] = None)

func NewSlo(ctx *Context, name string, args SloArgs, opts ...ResourceOption) (*Slo, error)

public Slo(string name, SloArgs args, CustomResourceOptions? opts = null)

public Slo(String name, SloArgs args)
public Slo(String name, SloArgs args, CustomResourceOptions options)

type: honeycombio:Slo
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 SloArgs: 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 SloArgs: 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 SloArgs: The arguments to resource properties.
opts ResourceOption: Bag of options to control resource's behavior.

name string: The unique name of the resource.
args SloArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

name String: The unique name of the resource.
args SloArgs: 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 sloResource = new Honeycombio.Slo("sloResource", new()
{
    Sli = "string",
    TargetPercentage = 0,
    TimePeriod = 0,
    Dataset = "string",
    Datasets = new[]
    {
        "string",
    },
    Description = "string",
    Name = "string",
    Tags = 
    {
        { "string", "string" },
    },
});

example, err := honeycombio.NewSlo(ctx, "sloResource", &honeycombio.SloArgs{
	Sli:              pulumi.String("string"),
	TargetPercentage: pulumi.Float64(0),
	TimePeriod:       pulumi.Float64(0),
	Dataset:          pulumi.String("string"),
	Datasets: pulumi.StringArray{
		pulumi.String("string"),
	},
	Description: pulumi.String("string"),
	Name:        pulumi.String("string"),
	Tags: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
})

var sloResource = new Slo("sloResource", SloArgs.builder()
    .sli("string")
    .targetPercentage(0.0)
    .timePeriod(0.0)
    .dataset("string")
    .datasets("string")
    .description("string")
    .name("string")
    .tags(Map.of("string", "string"))
    .build());

slo_resource = honeycombio.Slo("sloResource",
    sli="string",
    target_percentage=0,
    time_period=0,
    dataset="string",
    datasets=["string"],
    description="string",
    name="string",
    tags={
        "string": "string",
    })

const sloResource = new honeycombio.Slo("sloResource", {
    sli: "string",
    targetPercentage: 0,
    timePeriod: 0,
    dataset: "string",
    datasets: ["string"],
    description: "string",
    name: "string",
    tags: {
        string: "string",
    },
});

type: honeycombio:Slo
properties:
    dataset: string
    datasets:
        - string
    description: string
    name: string
    sli: string
    tags:
        string: string
    targetPercentage: 0
    timePeriod: 0

Slo 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 Slo resource accepts the following input properties:

Sli string: The alias of the Derived Column that will be used as the SLI to indicate event success. The derived column used as the SLI must be in the same dataset as the SLO. Additionally, the column evaluation should consistently return nil, true, or false, as these are the only valid values for an SLI.
TargetPercentage double: The percentage of qualified events that you expect to succeed during the time_period.
TimePeriod double: The time period, in days, over which your SLO will be evaluated.
Note dataset will be deprecated in a future release. One of dataset or datasets is required. In the meantime, you can swap dataset with a single value array for datasets to effectively evaluate to the same configuration.
Dataset string: The dataset this SLO is created in. Must be the same dataset as the SLI unless the SLI is an Environment-wide Derived Column. Conflicts with datasets. Will be deprecated in a future release of the provider.
Datasets List<string>: Array of datasets the SLO is evaluated on. Conflicts with dataset. Must have a length between 1 and 10.
Description string: A description of the SLO's intent and context.
Name string: The name of the SLO.
Tags Dictionary<string, string>: Map of tags to assign to the resource.

Sli string: The alias of the Derived Column that will be used as the SLI to indicate event success. The derived column used as the SLI must be in the same dataset as the SLO. Additionally, the column evaluation should consistently return nil, true, or false, as these are the only valid values for an SLI.
TargetPercentage float64: The percentage of qualified events that you expect to succeed during the time_period.
TimePeriod float64: The time period, in days, over which your SLO will be evaluated.
Note dataset will be deprecated in a future release. One of dataset or datasets is required. In the meantime, you can swap dataset with a single value array for datasets to effectively evaluate to the same configuration.
Dataset string: The dataset this SLO is created in. Must be the same dataset as the SLI unless the SLI is an Environment-wide Derived Column. Conflicts with datasets. Will be deprecated in a future release of the provider.
Datasets []string: Array of datasets the SLO is evaluated on. Conflicts with dataset. Must have a length between 1 and 10.
Description string: A description of the SLO's intent and context.
Name string: The name of the SLO.
Tags map[string]string: Map of tags to assign to the resource.

sli String: The alias of the Derived Column that will be used as the SLI to indicate event success. The derived column used as the SLI must be in the same dataset as the SLO. Additionally, the column evaluation should consistently return nil, true, or false, as these are the only valid values for an SLI.
targetPercentage Double: The percentage of qualified events that you expect to succeed during the time_period.
timePeriod Double: The time period, in days, over which your SLO will be evaluated.
Note dataset will be deprecated in a future release. One of dataset or datasets is required. In the meantime, you can swap dataset with a single value array for datasets to effectively evaluate to the same configuration.
dataset String: The dataset this SLO is created in. Must be the same dataset as the SLI unless the SLI is an Environment-wide Derived Column. Conflicts with datasets. Will be deprecated in a future release of the provider.
datasets List<String>: Array of datasets the SLO is evaluated on. Conflicts with dataset. Must have a length between 1 and 10.
description String: A description of the SLO's intent and context.
name String: The name of the SLO.
tags Map<String,String>: Map of tags to assign to the resource.

sli string: The alias of the Derived Column that will be used as the SLI to indicate event success. The derived column used as the SLI must be in the same dataset as the SLO. Additionally, the column evaluation should consistently return nil, true, or false, as these are the only valid values for an SLI.
targetPercentage number: The percentage of qualified events that you expect to succeed during the time_period.
timePeriod number: The time period, in days, over which your SLO will be evaluated.
Note dataset will be deprecated in a future release. One of dataset or datasets is required. In the meantime, you can swap dataset with a single value array for datasets to effectively evaluate to the same configuration.
dataset string: The dataset this SLO is created in. Must be the same dataset as the SLI unless the SLI is an Environment-wide Derived Column. Conflicts with datasets. Will be deprecated in a future release of the provider.
datasets string[]: Array of datasets the SLO is evaluated on. Conflicts with dataset. Must have a length between 1 and 10.
description string: A description of the SLO's intent and context.
name string: The name of the SLO.
tags {[key: string]: string}: Map of tags to assign to the resource.

sli str: The alias of the Derived Column that will be used as the SLI to indicate event success. The derived column used as the SLI must be in the same dataset as the SLO. Additionally, the column evaluation should consistently return nil, true, or false, as these are the only valid values for an SLI.
target_percentage float: The percentage of qualified events that you expect to succeed during the time_period.
time_period float: The time period, in days, over which your SLO will be evaluated.
Note dataset will be deprecated in a future release. One of dataset or datasets is required. In the meantime, you can swap dataset with a single value array for datasets to effectively evaluate to the same configuration.
dataset str: The dataset this SLO is created in. Must be the same dataset as the SLI unless the SLI is an Environment-wide Derived Column. Conflicts with datasets. Will be deprecated in a future release of the provider.
datasets Sequence[str]: Array of datasets the SLO is evaluated on. Conflicts with dataset. Must have a length between 1 and 10.
description str: A description of the SLO's intent and context.
name str: The name of the SLO.
tags Mapping[str, str]: Map of tags to assign to the resource.

sli String: The alias of the Derived Column that will be used as the SLI to indicate event success. The derived column used as the SLI must be in the same dataset as the SLO. Additionally, the column evaluation should consistently return nil, true, or false, as these are the only valid values for an SLI.
targetPercentage Number: The percentage of qualified events that you expect to succeed during the time_period.
timePeriod Number: The time period, in days, over which your SLO will be evaluated.
Note dataset will be deprecated in a future release. One of dataset or datasets is required. In the meantime, you can swap dataset with a single value array for datasets to effectively evaluate to the same configuration.
dataset String: The dataset this SLO is created in. Must be the same dataset as the SLI unless the SLI is an Environment-wide Derived Column. Conflicts with datasets. Will be deprecated in a future release of the provider.
datasets List<String>: Array of datasets the SLO is evaluated on. Conflicts with dataset. Must have a length between 1 and 10.
description String: A description of the SLO's intent and context.
name String: The name of the SLO.
tags Map<String>: Map of tags to assign to the resource.

Outputs

All input properties are implicitly available as output properties. Additionally, the Slo 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 Slo Resource

Get an existing Slo 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?: SloState, opts?: CustomResourceOptions): Slo

@staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        dataset: Optional[str] = None,
        datasets: Optional[Sequence[str]] = None,
        description: Optional[str] = None,
        name: Optional[str] = None,
        sli: Optional[str] = None,
        tags: Optional[Mapping[str, str]] = None,
        target_percentage: Optional[float] = None,
        time_period: Optional[float] = None) -> Slo

func GetSlo(ctx *Context, name string, id IDInput, state *SloState, opts ...ResourceOption) (*Slo, error)

public static Slo Get(string name, Input<string> id, SloState? state, CustomResourceOptions? opts = null)

public static Slo get(String name, Output<String> id, SloState state, CustomResourceOptions options)

resources:  _:    type: honeycombio:Slo    get:      id: ${id}

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:

Dataset string: The dataset this SLO is created in. Must be the same dataset as the SLI unless the SLI is an Environment-wide Derived Column. Conflicts with datasets. Will be deprecated in a future release of the provider.
Datasets List<string>: Array of datasets the SLO is evaluated on. Conflicts with dataset. Must have a length between 1 and 10.
Description string: A description of the SLO's intent and context.
Name string: The name of the SLO.
Sli string: The alias of the Derived Column that will be used as the SLI to indicate event success. The derived column used as the SLI must be in the same dataset as the SLO. Additionally, the column evaluation should consistently return nil, true, or false, as these are the only valid values for an SLI.
Tags Dictionary<string, string>: Map of tags to assign to the resource.
TargetPercentage double: The percentage of qualified events that you expect to succeed during the time_period.
TimePeriod double: The time period, in days, over which your SLO will be evaluated.
Note dataset will be deprecated in a future release. One of dataset or datasets is required. In the meantime, you can swap dataset with a single value array for datasets to effectively evaluate to the same configuration.

Dataset string: The dataset this SLO is created in. Must be the same dataset as the SLI unless the SLI is an Environment-wide Derived Column. Conflicts with datasets. Will be deprecated in a future release of the provider.
Datasets []string: Array of datasets the SLO is evaluated on. Conflicts with dataset. Must have a length between 1 and 10.
Description string: A description of the SLO's intent and context.
Name string: The name of the SLO.
Sli string: The alias of the Derived Column that will be used as the SLI to indicate event success. The derived column used as the SLI must be in the same dataset as the SLO. Additionally, the column evaluation should consistently return nil, true, or false, as these are the only valid values for an SLI.
Tags map[string]string: Map of tags to assign to the resource.
TargetPercentage float64: The percentage of qualified events that you expect to succeed during the time_period.
TimePeriod float64: The time period, in days, over which your SLO will be evaluated.
Note dataset will be deprecated in a future release. One of dataset or datasets is required. In the meantime, you can swap dataset with a single value array for datasets to effectively evaluate to the same configuration.

dataset String: The dataset this SLO is created in. Must be the same dataset as the SLI unless the SLI is an Environment-wide Derived Column. Conflicts with datasets. Will be deprecated in a future release of the provider.
datasets List<String>: Array of datasets the SLO is evaluated on. Conflicts with dataset. Must have a length between 1 and 10.
description String: A description of the SLO's intent and context.
name String: The name of the SLO.
sli String: The alias of the Derived Column that will be used as the SLI to indicate event success. The derived column used as the SLI must be in the same dataset as the SLO. Additionally, the column evaluation should consistently return nil, true, or false, as these are the only valid values for an SLI.
tags Map<String,String>: Map of tags to assign to the resource.
targetPercentage Double: The percentage of qualified events that you expect to succeed during the time_period.
timePeriod Double: The time period, in days, over which your SLO will be evaluated.
Note dataset will be deprecated in a future release. One of dataset or datasets is required. In the meantime, you can swap dataset with a single value array for datasets to effectively evaluate to the same configuration.

dataset string: The dataset this SLO is created in. Must be the same dataset as the SLI unless the SLI is an Environment-wide Derived Column. Conflicts with datasets. Will be deprecated in a future release of the provider.
datasets string[]: Array of datasets the SLO is evaluated on. Conflicts with dataset. Must have a length between 1 and 10.
description string: A description of the SLO's intent and context.
name string: The name of the SLO.
sli string: The alias of the Derived Column that will be used as the SLI to indicate event success. The derived column used as the SLI must be in the same dataset as the SLO. Additionally, the column evaluation should consistently return nil, true, or false, as these are the only valid values for an SLI.
tags {[key: string]: string}: Map of tags to assign to the resource.
targetPercentage number: The percentage of qualified events that you expect to succeed during the time_period.
timePeriod number: The time period, in days, over which your SLO will be evaluated.
Note dataset will be deprecated in a future release. One of dataset or datasets is required. In the meantime, you can swap dataset with a single value array for datasets to effectively evaluate to the same configuration.

dataset str: The dataset this SLO is created in. Must be the same dataset as the SLI unless the SLI is an Environment-wide Derived Column. Conflicts with datasets. Will be deprecated in a future release of the provider.
datasets Sequence[str]: Array of datasets the SLO is evaluated on. Conflicts with dataset. Must have a length between 1 and 10.
description str: A description of the SLO's intent and context.
name str: The name of the SLO.
sli str: The alias of the Derived Column that will be used as the SLI to indicate event success. The derived column used as the SLI must be in the same dataset as the SLO. Additionally, the column evaluation should consistently return nil, true, or false, as these are the only valid values for an SLI.
tags Mapping[str, str]: Map of tags to assign to the resource.
target_percentage float: The percentage of qualified events that you expect to succeed during the time_period.
time_period float: The time period, in days, over which your SLO will be evaluated.
Note dataset will be deprecated in a future release. One of dataset or datasets is required. In the meantime, you can swap dataset with a single value array for datasets to effectively evaluate to the same configuration.

dataset String: The dataset this SLO is created in. Must be the same dataset as the SLI unless the SLI is an Environment-wide Derived Column. Conflicts with datasets. Will be deprecated in a future release of the provider.
datasets List<String>: Array of datasets the SLO is evaluated on. Conflicts with dataset. Must have a length between 1 and 10.
description String: A description of the SLO's intent and context.
name String: The name of the SLO.
sli String: The alias of the Derived Column that will be used as the SLI to indicate event success. The derived column used as the SLI must be in the same dataset as the SLO. Additionally, the column evaluation should consistently return nil, true, or false, as these are the only valid values for an SLI.
tags Map<String>: Map of tags to assign to the resource.
targetPercentage Number: The percentage of qualified events that you expect to succeed during the time_period.
timePeriod Number: The time period, in days, over which your SLO will be evaluated.
Note dataset will be deprecated in a future release. One of dataset or datasets is required. In the meantime, you can swap dataset with a single value array for datasets to effectively evaluate to the same configuration.