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pulumi-datadog

A Pulumi package for creating and managing Datadog resources.

Worth itPyPI MonitoringReleased Jul 2026873.0K downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — pulumi_datadog-5.10.0-py3-none-any.whl
v5.10.0 · released 2026-07-30 · Python >=3.9 · 4 runtime deps: parver, pulumi, semver, typing-extensions

Yes. Low install friction, active maintenance, no known vulnerabilities, and permissive licensing make it a safe choice. Install it if you are already using Pulumi and want to manage Datadog resources as code; skip it if you use a different IaC tool or prefer the Datadog UI for configuration.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Pulumi CLI installed first and valid Datadog API key and app key (via DATADOG_API_KEY and DATADOG_APP_KEY environment variables or configuration).
  • Low install friction; pure Python wheel with four lightweight runtime dependencies (parver, pulumi, semver, typing-extensions).
  • Active maintenance—last commit 2026-08-14, released 2026-07-30.

License · maintenance · safety

Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most production and proprietary projects.

last release 2026-07-30 (15 days) · last repo commit 2026-08-14 · 23 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 872,985 downloads/mo, #4,840 on PyPI

Verify before relying

pip install pulumi_datadog

import pulumi_datadog as datadog

monitor = datadog.Monitor("example",
    type="metric alert",
    query="avg:system.cpu{*} > 0.9")
  • Scope and completeness of Datadog resource types supported in version 5.10.0 relative to the full Datadog API surface.
  • Whether the package supports Datadog's regional API endpoints beyond the default.
  • Specific resource types and operations available in this provider version.
Same gist for agents: .md · .json

What it is and what it does

pulumi-datadog is a Pulumi resource provider that lets you define Datadog infrastructure as Python code within a Pulumi program. Instead of clicking through the Datadog UI or writing API calls by hand, you declare resources declaratively and let Pulumi handle creation, updates, and deletion. It integrates with Pulumi's state management and stack-based workflows, so your Datadog configuration lives alongside your cloud infrastructure.

The package requires the Pulumi CLI and valid Datadog credentials (API key and app key). It has four runtime dependencies: pulumi, parver, semver, and typing-extensions. It supports Python versions 3.9 and later, is actively maintained with recent commits, and carries no known vulnerabilities.

Use it for

  • Define Datadog monitors and alert policies as code, versioning them in Git alongside your infrastructure.
  • Automate creation of dashboards and synthetic tests across multiple environments using Pulumi stacks.
  • Manage Datadog resources in a multi-cloud setup where other infrastructure is already declared in Pulumi.
  • Integrate Datadog configuration into CI/CD pipelines for repeatable, auditable deployments.
  • Programmatically provision monitoring resources as part of infrastructure provisioning workflows.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

Low install friction, active maintenance, no known vulnerabilities, and permissive licensing make it a safe choice. Install it if you are already using Pulumi and want to manage Datadog resources as code; skip it if you use a different IaC tool or prefer the Datadog UI for configuration.

Install

pulumi-datadog on PyPI

Before you install

Low install friction; pure Python wheel with four lightweight runtime dependencies (parver, pulumi, semver, typing-extensions). Active maintenance—last commit 2026-08-14, released 2026-07-30.

Requires Pulumi CLI installed first and valid Datadog API key and app key (via DATADOG_API_KEY and DATADOG_APP_KEY environment variables or configuration).

License in practice

Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most production and proprietary projects.

Quickstart

pip install pulumi_datadog

import pulumi_datadog as datadog

monitor = datadog.Monitor("example",
    type="metric alert",
    query="avg:system.cpu{*} > 0.9")

Verify before relying

  • Scope and completeness of Datadog resource types supported in version 5.10.0 relative to the full Datadog API surface.
  • Whether the package supports Datadog's regional API endpoints beyond the default.
  • Specific resource types and operations available in this provider version.

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release >=3.9
Install frictionLow. Pure-Python wheel
Runtime dependencies
4 packages
parverpulumisemvertyping-extensions
MaintenanceActively maintained 15 days since the last release
Last repo commit
First released
Downloads872,985 / month, #4,840 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14

Evidence: pulumi_datadog-5.10.0-py3-none-any.whl

Tags

Capabilities
pulumi datadog providerinfrastructure as code datadogdatadog resource managementpulumi monitoring integrationdatadog iac automationpulumi cloud provider datadogdeclare datadog resources programmatically
Topics
infrastructure-as-codepulumi-provider
PyPI keywords
pulumidatadog

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See also pulumi-docker · pulumi-tailscale · pulumi-gcp · pulumi-postgresql · pulumi-tls · pulumi-cloudflare · Flask-Datadog · pulumi-random · pulumi-vault · pulumi-pulumiservice