Datadog Observability API
The Observability API from Datadog — 2 operation(s) for observability.
Datadog Observability API is one of 290 APIs that Datadog publishes on the APIs.io network, described by a machine-readable OpenAPI specification.
This API exposes 4 JSON Schema definitions.
Tagged areas include Observability. The published artifact set on APIs.io includes an OpenAPI specification, API documentation, authentication docs, an API reference, and 4 JSON Schemas.
This API exposes 2 operations across 2 paths, and defines 190 schemas. It is described by OpenAPI 3.0.0, at version 1.0.
Requests are made against 3 base URLs: https://{subdomain}.{site}, {protocol}://{name}, https://{subdomain}.{site}.
2 operations
2 paths
190 schemas
1 GET1 POST
Metadata
The identity and technical contract details declared by the specification.
Authentication & Security 4
Datadog Observability API declares
4 security schemes
for authenticating requests.
It supports OAuth 2.0 (AuthZ) using the authorizationCode flow, exposing 68 scopes.
An API key is passed in the header as DD-API-KEY (apiKeyAuth).
An API key is passed in the header as DD-APPLICATION-KEY (appKeyAuth).
It accepts HTTP bearer tokens (bearerAuth).
By default, every request must be authenticated.
AuthZ— This API uses OAuth 2 with the implicit grant flow.apiKeyAuth— Your Datadog API Key.appKeyAuth— Your Datadog APP Key.
Paths & Operations 2
Across 2 paths, the API surfaces 2 operations — 1 GET, 1 POST. Each is listed below with its method, path, parameters, and response codes.
Observability 2
POST
/api/v2/remote_config/products/obs_pipelines/pipelines/validate
Datadog Validate an Observability Pipeline
GET
/api/v2/usage/observability_pipelinesdeprecated
Datadog Get Hourly Usage for Observability Pipelines
Schemas 190
The contract defines 190 schemas that model the data the API accepts and returns. The most detailed are ObservabilityPipelineQuotaProcessor (11 properties), ObservabilityPipelineAmazonS3Destination (9 properties), ObservabilityPipelineGoogleCloudStorageDestination (9 properties), ObservabilityPipelineSumoLogicDestination (8 properties). Each schema is shown below with its type and property counts.
ObservabilityPipelineAmazonOpenSearchDestinationType
string
The destination type. The value should always be amazonopensearch.
ObservabilityPipelineNewRelicDestination
object
The newrelic destination sends logs to the New Relic platform.
4 properties
4 required
ObservabilityPipelineHttpServerSourceAuthStrategy
string
HTTP authentication method.
ObservabilityPipelineSensitiveDataScannerProcessorCustomPattern
object
Defines a custom regex-based pattern for identifying sensitive data in logs.
2 properties
2 required
ObservabilityPipelineRemoveFieldsProcessorType
string
The processor type. The value should always be removefields.
ObservabilityPipelineFluentdSource
object
The fluentd source ingests logs from a Fluentd-compatible service.
3 properties
2 required
ObservabilityPipelineRsyslogSource
object
The rsyslog source listens for logs over TCP or UDP from an rsyslog server using the syslog protocol.
4 properties
3 required
ObservabilityPipelineSplunkHecDestinationEncoding
string
Encoding format for log events.
ObservabilityPipelineFluentBitSource
object
The fluentbit source ingests logs from Fluent Bit.
3 properties
2 required
ObservabilityPipelineRenameFieldsProcessorType
string
The processor type. The value should always be renamefields.
ObservabilityPipelineLogstashSourceType
string
The source type. The value should always be logstash.
ObservabilityPipelineSumoLogicSource
object
The sumologic source receives logs from Sumo Logic collectors.
2 properties
2 required
ObservabilityPipelineGeneratedMetric
object
Defines a log-based custom metric, including its name, type, filter, value computation strategy, and optional grouping fields.
5 properties
4 required
UsageTimeSeriesObject
object
Usage timeseries data.
2 properties
ObservabilityPipelineHttpClientSourceAuthStrategy
string
Optional authentication strategy for HTTP requests.
ObservabilityPipelineGoogleChronicleDestination
object
The googlechronicle destination sends logs to Google Chronicle.
7 properties
5 required
ObservabilityPipelineSensitiveDataScannerProcessorActionHashAction
string
Action type that replaces the matched sensitive data with a hashed representation, preserving structure while securing content.
ObservabilityPipelineOcsfMapperProcessorMapping
object
Defines how specific events are transformed to OCSF using a mapping configuration.
2 properties
2 required
MicrosoftSentinelDestinationType
string
The destination type. The value should always be microsoftsentinel.
AzureStorageDestination
object
The azurestorage destination forwards logs to an Azure Blob Storage container.
5 properties
4 required
ObservabilityPipelineSensitiveDataScannerProcessorRule
object
Defines a rule for detecting sensitive data, including matching pattern, scope, and the action to take.
6 properties
5 required
ObservabilityPipelineHttpClientSourceType
string
The source type. The value should always be httpclient.
ObservabilityPipelineEnrichmentTableFileKeyItemsComparison
string
Defines how to compare key fields for enrichment table lookups.
ObservabilityPipelineQuotaProcessorLimit
object
The maximum amount of data or number of events allowed before the quota is enforced. Can be specified in bytes or events.
2 properties
2 required
ObservabilityPipelineParseGrokProcessorRuleMatchRule
object
Defines a Grok parsing rule, which extracts structured fields from log content using named Grok patterns. Each rule must have a unique name and a valid Datadog…
2 properties
2 required
ObservabilityPipelineKafkaSource
object
The kafka source ingests data from Apache Kafka topics.
7 properties
4 required
ObservabilityPipelineHttpServerSource
object
The httpserver source collects logs over HTTP POST from external services.
5 properties
4 required
ObservabilityPipelineRsyslogSourceType
string
The source type. The value should always be rsyslog.
ObservabilityPipelineSplunkTcpSource
object
The splunktcp source receives logs from a Splunk Universal Forwarder over TCP. TLS is supported for secure transmission.
3 properties
2 required
ObservabilityPipelineParseJSONProcessor
object
The parsejson processor extracts JSON from a specified field and flattens it into the event. This is useful when logs contain embedded JSON as a string.
5 properties
5 required
ObservabilityPipelineOcsfMappingLibrary
string
Predefined library mappings for common log formats.
ObservabilityPipelineSensitiveDataScannerProcessorLibraryPatternType
string
Indicates that a predefined library pattern is used.
ObservabilityPipelineOpenSearchDestinationType
string
The destination type. The value should always be opensearch.
ObservabilityPipelineSensitiveDataScannerProcessor
object
The sensitivedatascanner processor detects and optionally redacts sensitive data in log events.
5 properties
5 required
ObservabilityPipelineDatadogLogsDestinationType
string
The destination type. The value should always be datadoglogs.
ObservabilityPipelineSensitiveDataScannerProcessorType
string
The processor type. The value should always be sensitivedatascanner.
ObservabilityPipelineKafkaSourceSasl
object
Specifies the SASL mechanism for authenticating with a Kafka cluster.
1 property
ObservabilityPipelineSplunkHecDestination
object
The splunkhec destination forwards logs to Splunk using the HTTP Event Collector (HEC).
7 properties
3 required
ObservabilityPipelineGeneratedMetricIncrementByFieldStrategy
string
Uses a numeric field in the log event as the metric increment.
ObservabilityPipelineElasticsearchDestination
object
The elasticsearch destination writes logs to an Elasticsearch cluster.
5 properties
3 required
ObservabilityPipelineHttpClientSource
object
The httpclient source scrapes logs from HTTP endpoints at regular intervals.
7 properties
3 required
ObservabilityPipelineSampleProcessor
object
The sample processor allows probabilistic sampling of logs at a fixed rate.
6 properties
4 required
ObservabilityPipelineSpec
object
Input schema representing an observability pipeline configuration. Used in create and validate requests.
1 property
1 required
ObservabilityPipelineGooglePubSubSourceType
string
The source type. The value should always be googlepubsub.
HourlyUsageType
string
Usage type that is being measured.
ObservabilityPipelineDedupeProcessorMode
string
The deduplication mode to apply to the fields.
ObservabilityPipelineSensitiveDataScannerProcessorCustomPatternType
string
Indicates a custom regular expression is used for matching.
ObservabilityPipelineAmazonDataFirehoseSource
object
The amazondatafirehose source ingests logs from AWS Data Firehose.
4 properties
2 required
ObservabilityPipelineReduceProcessorMergeStrategy
object
Defines how a specific field should be merged across grouped events.
2 properties
2 required
ObservabilityPipelineSensitiveDataScannerProcessorScopeIncludeTarget
string
Applies the rule only to included fields.
ObservabilityPipelineGenerateMetricsProcessor
object
The generatedatadogmetrics processor creates custom metrics from logs and sends them to Datadog. Metrics can be counters, gauges, or distributions and optional…
5 properties
5 required
ObservabilityPipelineGcpAuth
object
GCP credentials used to authenticate with Google Cloud Storage.
1 property
1 required
ObservabilityPipelineRenameFieldsProcessor
object
The renamefields processor changes field names.
5 properties
5 required
ObservabilityPipelineSensitiveDataScannerProcessorActionPartialRedact
object
Configuration for partially redacting matched sensitive data.
2 properties
2 required
ObservabilityPipelineGoogleCloudStorageDestinationAcl
string
Access control list setting for objects written to the bucket.
ObservabilityPipelineFilterProcessor
object
The filter processor allows conditional processing of logs based on a Datadog search query. Logs that match the include query are passed through; others are di…
4 properties
4 required
ObservabilityPipelineAmazonDataFirehoseSourceType
string
The source type. The value should always be amazondatafirehose.
ObservabilityPipelineSumoLogicDestination
object
The sumologic destination forwards logs to Sumo Logic.
8 properties
3 required
AzureStorageDestinationType
string
The destination type. The value should always be azurestorage.
ObservabilityPipelineMetricValue
Specifies how the value of the generated metric is computed.
ObservabilityPipelineQuotaProcessorOverride
object
Defines a custom quota limit that applies to specific log events based on matching field values.
2 properties
2 required
ObservabilityPipelineGoogleChronicleDestinationType
string
The destination type. The value should always be googlechronicle.
ObservabilityPipelineRsyslogDestination
object
The rsyslog destination forwards logs to an external rsyslog server over TCP or UDP using the syslog protocol.
5 properties
3 required
ObservabilityPipelineDedupeProcessor
object
The dedupe processor removes duplicate fields in log events.
6 properties
6 required
ObservabilityPipelineAmazonS3DestinationType
string
The destination type. Always amazons3.
ObservabilityPipelineGoogleChronicleDestinationEncoding
string
The encoding format for the logs sent to Chronicle.
ObservabilityPipelineSensitiveDataScannerProcessorScopeInclude
object
Includes only specific fields for sensitive data scanning.
2 properties
2 required
ObservabilityPipelineMetadataEntry
object
A custom metadata entry.
2 properties
2 required
ObservabilityPipelineSensitiveDataScannerProcessorActionHash
object
Configuration for hashing matched sensitive values.
2 properties
1 required
ObservabilityPipelineParseGrokProcessor
object
The parsegrok processor extracts structured fields from unstructured log messages using Grok patterns.
6 properties
5 required
ObservabilityPipelineSumoLogicDestinationType
string
The destination type. The value should always be sumologic.
ObservabilityPipelineFilterProcessorType
string
The processor type. The value should always be filter.
ObservabilityPipelineRemoveFieldsProcessor
object
The removefields processor deletes specified fields from logs.
5 properties
5 required
ObservabilityPipelineThrottleProcessorType
string
The processor type. The value should always be throttle.
ObservabilityPipelineSensitiveDataScannerProcessorScopeExcludeTarget
string
Excludes specific fields from processing.
ObservabilityPipelineSentinelOneDestination
object
The sentinelone destination sends logs to SentinelOne.
4 properties
4 required
ObservabilityPipelineParseGrokProcessorRule
object
A Grok parsing rule used in the parsegrok processor. Each rule defines how to extract structured fields from a specific log field using Grok patterns.
3 properties
3 required
ObservabilityPipelineDedupeProcessorType
string
The processor type. The value should always be dedupe.
ObservabilityPipelineSampleProcessorType
string
The processor type. The value should always be sample.
ObservabilityPipelineSyslogNgDestinationType
string
The destination type. The value should always be syslogng.
ObservabilityPipelineEnrichmentTableProcessorType
string
The processor type. The value should always be enrichmenttable.
ObservabilityPipelineSentinelOneDestinationRegion
string
The SentinelOne region to send logs to.
UsageTimeSeriesType
string
Type of usage data.
ObservabilityPipelineEnrichmentTableFileEncodingType
string
Specifies the encoding format (e.g., CSV) used for enrichment tables.
ObservabilityPipelineSensitiveDataScannerProcessorActionPartialRedactOptionsDirection
string
Indicates whether to redact characters from the first or last part of the matched value.
ObservabilityPipelineGeneratedMetricIncrementByOne
object
Strategy that increments a generated metric by one for each matching event.
1 property
1 required
ObservabilityPipelineElasticsearchDestinationType
string
The destination type. The value should always be elasticsearch.
ObservabilityPipelineAmazonS3Source
object
The amazons3 source ingests logs from an Amazon S3 bucket. It supports AWS authentication and TLS encryption.
5 properties
3 required
ObservabilityPipelineSyslogSourceMode
string
Protocol used by the syslog source to receive messages.
ObservabilityPipelineAddFieldsProcessor
object
The addfields processor adds static key-value fields to logs.
5 properties
5 required
ObservabilityPipelineLogstashSource
object
The logstash source ingests logs from a Logstash forwarder.
3 properties
2 required
ObservabilityPipelineSensitiveDataScannerProcessorActionPartialRedactOptions
object
Controls how partial redaction is applied, including character count and direction.
2 properties
2 required
ObservabilityPipelineAddEnvVarsProcessorType
string
The processor type. The value should always be addenvvars.
ObservabilityPipelineParseGrokProcessorType
string
The processor type. The value should always be parsegrok.
ObservabilityPipelineGeneratedMetricIncrementByField
object
Strategy that increments a generated metric based on the value of a log field.
2 properties
2 required
ObservabilityPipelineSplunkHecDestinationType
string
The destination type. Always splunkhec.
ObservabilityPipelineNewRelicDestinationRegion
string
The New Relic region.
ValidationError
object
Represents a single validation error, including a human-readable title and metadata.
2 properties
2 required
ObservabilityPipelineFluentdSourceType
string
The source type. The value should always be fluentd.
ObservabilityPipelineAddFieldsProcessorType
string
The processor type. The value should always be addfields.
ObservabilityPipelineEnrichmentTableFileEncoding
object
File encoding format.
3 properties
3 required
ObservabilityPipelineOcsfMapperProcessorMappingMapping
Defines a single mapping rule for transforming logs into the OCSF schema.
ObservabilityPipelineGeneratedMetricIncrementByOneStrategy
string
Increments the metric by 1 for each matching event.
ObservabilityPipelineSplunkHecSource
object
The splunkhec source implements the Splunk HTTP Event Collector (HEC) API.
3 properties
2 required
ObservabilityPipelineSyslogNgSource
object
The syslogng source listens for logs over TCP or UDP from a syslog-ng server using the syslog protocol.
4 properties
3 required
ObservabilityPipelineSensitiveDataScannerProcessorKeywordOptions
object
Configuration for keywords used to reinforce sensitive data pattern detection.
2 properties
2 required
APIErrorResponse
object
API error response.
1 property
1 required
ObservabilityPipelineAmazonOpenSearchDestination
object
The amazonopensearch destination writes logs to Amazon OpenSearch.
5 properties
4 required
ObservabilityPipelineEnrichmentTableFile
object
Defines a static enrichment table loaded from a CSV file.
4 properties
4 required
ObservabilityPipelineAmazonS3Destination
object
The amazons3 destination sends your logs in Datadog-rehydratable format to an Amazon S3 bucket for archiving.
9 properties
6 required
ObservabilityPipelineSumoLogicSourceType
string
The source type. The value should always be sumologic.
ObservabilityPipelineAmazonS3SourceType
string
The source type. Always amazons3.
ObservabilityPipelineEnrichmentTableFileSchemaItems
object
Describes a single column and its type in an enrichment table schema.
2 properties
2 required
ObservabilityPipelineNewRelicDestinationType
string
The destination type. The value should always be newrelic.
ObservabilityPipelineElasticsearchDestinationApiVersion
string
The Elasticsearch API version to use. Set to auto to auto-detect.
ObservabilityPipelineAmazonOpenSearchDestinationAuthStrategy
string
The authentication strategy to use.
MicrosoftSentinelDestination
object
The microsoftsentinel destination forwards logs to Microsoft Sentinel.
7 properties
7 required
ObservabilityPipelineEnrichmentTableGeoIp
object
Uses a GeoIP database to enrich logs based on an IP field.
3 properties
3 required
ObservabilityPipelineFieldValue
object
Represents a static key-value pair used in various processors.
2 properties
2 required
ObservabilityPipelineDataAttributes
object
Defines the pipeline’s name and its components (sources, processors, and destinations).
2 properties
2 required
ObservabilityPipelineEnrichmentTableProcessor
object
The enrichmenttable processor enriches logs using a static CSV file or GeoIP database.
7 properties
5 required
ObservabilityPipelineGeneratedMetricMetricType
string
Type of metric to create.
ValidationErrorMeta
object
Describes additional metadata for validation errors, including field names and error messages.
3 properties
1 required
ObservabilityPipelineAddEnvVarsProcessorVariable
object
Defines a mapping between an environment variable and a log field.
2 properties
2 required
ObservabilityPipelineDatadogAgentSourceType
string
The source type. The value should always be datadogagent.
ObservabilityPipelineSensitiveDataScannerProcessorScope
Determines which parts of the log the pattern-matching rule should be applied to.
ObservabilityPipelineSensitiveDataScannerProcessorScopeExclude
object
Excludes specific fields from sensitive data scanning.
2 properties
2 required
ObservabilityPipelinePipelineKafkaSourceSaslMechanism
string
SASL mechanism used for Kafka authentication.
UsageObservabilityPipelinesResponse
object
Observability Pipelines usage response.
1 property
ObservabilityPipelineFluentBitSourceType
string
The source type. The value should always be fluentbit.
UsageAttributesObject
object
Usage attributes data.
6 properties
ObservabilityPipelineSyslogNgDestination
object
The syslogng destination forwards logs to an external syslog-ng server over TCP or UDP using the syslog protocol.
5 properties
3 required
ObservabilityPipelineQuotaProcessorType
string
The processor type. The value should always be quota.
ObservabilityPipelineSentinelOneDestinationType
string
The destination type. The value should always be sentinelone.
ObservabilityPipelineGoogleCloudStorageDestinationType
string
The destination type. Always googlecloudstorage.
ObservabilityPipelineEnrichmentTableFileKeyItems
object
Defines how to map log fields to enrichment table columns during lookups.
3 properties
3 required
ObservabilityPipelineSensitiveDataScannerProcessorActionPartialRedactAction
string
Action type that redacts part of the sensitive data while preserving a configurable number of characters, typically used for masking purposes (e.g., show last…
ObservabilityPipelineSensitiveDataScannerProcessorLibraryPattern
object
Specifies a pattern from Datadog’s sensitive data detection library to match known sensitive data types.
2 properties
2 required
ObservabilityPipelineSpecData
object
Contains the the pipeline configuration.
2 properties
2 required
ObservabilityPipelineDatadogAgentSource
object
The datadogagent source collects logs from the Datadog Agent.
3 properties
2 required
ObservabilityPipelineReduceProcessorType
string
The processor type. The value should always be reduce.
ObservabilityPipelineParseJSONProcessorType
string
The processor type. The value should always be parsejson.
ObservabilityPipelineAmazonOpenSearchDestinationAuth
object
Authentication settings for the Amazon OpenSearch destination. The strategy field determines whether basic or AWS-based authentication is used.
5 properties
1 required
ObservabilityPipelineHttpServerSourceType
string
The source type. The value should always be httpserver.
ObservabilityPipelineSensitiveDataScannerProcessorActionRedactAction
string
Action type that completely replaces the matched sensitive data with a fixed replacement string to remove all visibility.
ObservabilityPipelineThrottleProcessor
object
The throttle processor limits the number of events that pass through over a given time window.
7 properties
6 required
ObservabilityPipelineTls
object
Configuration for enabling TLS encryption between the pipeline component and external services.
3 properties
1 required
ValidationResponse
object
Response containing validation errors.
1 property
ObservabilityPipelineEnrichmentTableFileSchemaItemsType
string
Declares allowed data types for enrichment table columns.
ObservabilityPipelineSensitiveDataScannerProcessorLibraryPatternOptions
object
Options for selecting a predefined library pattern and enabling keyword support.
2 properties
1 required
ObservabilityPipelineDatadogLogsDestination
object
The datadoglogs destination forwards logs to Datadog Log Management.
3 properties
3 required
ObservabilityPipelineAmazonS3DestinationStorageClass
string
S3 storage class.
ObservabilityPipelineSensitiveDataScannerProcessorCustomPatternOptions
object
Options for defining a custom regex pattern.
1 property
1 required
ObservabilityPipelineSumoLogicDestinationHeaderCustomFieldsItem
object
Single key-value pair used as a custom log header for Sumo Logic.
2 properties
2 required
ObservabilityPipelineRenameFieldsProcessorField
object
Defines how to rename a field in log events.
3 properties
3 required
ObservabilityPipelineDecoding
string
The decoding format used to interpret incoming logs.
ObservabilityPipelineGooglePubSubSource
object
The googlepubsub source ingests logs from a Google Cloud Pub/Sub subscription.
7 properties
6 required
ObservabilityPipelineReduceProcessorMergeStrategyStrategy
string
The merge strategy to apply.
ObservabilityPipelineAwsAuth
object
AWS authentication credentials used for accessing AWS services such as S3. If omitted, the system’s default credentials are used (for example, the IAM role and…
3 properties
ObservabilityPipelineConfigProcessorItem
A processor for the pipeline.
ObservabilityPipelineQuotaProcessorLimitEnforceType
string
Unit for quota enforcement in bytes for data size or events for count.
ObservabilityPipelineSensitiveDataScannerProcessorActionRedactOptions
object
Configuration for fully redacting sensitive data.
1 property
1 required
ObservabilityPipelineSyslogNgSourceType
string
The source type. The value should always be syslogng.
ObservabilityPipelineAddEnvVarsProcessor
object
The addenvvars processor adds environment variable values to log events.
5 properties
5 required
ObservabilityPipelineSensitiveDataScannerProcessorPattern
Pattern detection configuration for identifying sensitive data using either a custom regex or a library reference.
ObservabilityPipelineOcsfMapperProcessorType
string
The processor type. The value should always be ocsfmapper.
ObservabilityPipelineSensitiveDataScannerProcessorActionRedact
object
Configuration for completely redacting matched sensitive data.
2 properties
2 required
ObservabilityPipelineReduceProcessor
object
The reduce processor aggregates and merges logs based on matching keys and merge strategies.
6 properties
6 required
ObservabilityPipelineGenerateMetricsProcessorType
string
The processor type. Always generatedatadogmetrics.
ObservabilityPipelineSensitiveDataScannerProcessorScopeAll
object
Applies scanning across all available fields.
1 property
1 required
ObservabilityPipelineParseGrokProcessorRuleSupportRule
object
The Grok helper rule referenced in the parsing rules.
2 properties
2 required
ObservabilityPipelineOcsfMapperProcessor
object
The ocsfmapper processor transforms logs into the OCSF schema using a predefined mapping configuration.
5 properties
5 required
ObservabilityPipelineRsyslogDestinationType
string
The destination type. The value should always be rsyslog.
ObservabilityPipelineSplunkTcpSourceType
string
The source type. Always splunktcp.
UsageDataObject
object
Usage data.
3 properties
ObservabilityPipelineKafkaSourceLibrdkafkaOption
object
Represents a key-value pair used to configure low-level librdkafka client options for Kafka sources, such as timeouts, buffer sizes, and security settings.
2 properties
2 required
ObservabilityPipelineQuotaProcessorOverflowAction
string
The action to take when the quota is exceeded. Options: - drop: Drop the event. - noaction: Let the event pass through. - overflowrouting: Route to an overflow…
ObservabilityPipelineConfigDestinationItem
A destination for the pipeline.
ObservabilityPipelineSensitiveDataScannerProcessorScopeOptions
object
Fields to which the scope rule applies.
1 property
1 required
ObservabilityPipelineOpenSearchDestination
object
The opensearch destination writes logs to an OpenSearch cluster.
4 properties
3 required
ObservabilityPipelineSplunkHecSourceType
string
The source type. Always splunkhec.
ObservabilityPipelineKafkaSourceType
string
The source type. The value should always be kafka.
ObservabilityPipelineSensitiveDataScannerProcessorScopeAllTarget
string
Applies the rule to all fields.
ObservabilityPipelineGoogleCloudStorageDestination
object
The googlecloudstorage destination stores logs in a Google Cloud Storage (GCS) bucket. It requires a bucket name, GCP authentication, and metadata fields.
9 properties
7 required
ObservabilityPipelineSumoLogicDestinationEncoding
string
The output encoding format.
ObservabilityPipelineQuotaProcessor
object
The Quota Processor measures logging traffic for logs that match a specified filter. When the configured daily quota is met, the processor can drop or alert.
11 properties
7 required
ObservabilityPipelineConfigSourceItem
A data source for the pipeline.
ObservabilityPipelineGoogleCloudStorageDestinationStorageClass
string
Storage class used for objects stored in GCS.
ObservabilityPipelineConfig
object
Specifies the pipeline's configuration, including its sources, processors, and destinations.
3 properties
2 required
ObservabilityPipelineSensitiveDataScannerProcessorAction
Defines what action to take when sensitive data is matched.
Specification
The full machine-readable OpenAPI contract behind this narrative.
Source
More from Datadog 12
Other APIs Datadog publishes across the network.
Datadog Dashboards API
Datadog Synthetics API
Datadog Service Level Objectives API
Datadog Security Monitoring API
Datadog Service Definition API
Datadog Software Catalog API
Datadog Users API
Datadog Roles API
Datadog Key Management API
Datadog Organizations API
Datadog Downtimes API
Datadog RUM API
#Observability
Where this information came from
This is an independent, third-party profile of Datadog Observability API, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.
Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.
info@apievangelist.com
·
Read the full data-sourcing policy →
On a security or compliance team? Put security in the subject line and
you will get a person, not a form — we will tell you exactly which public URLs this profile was built from.