pulumi-devzero 0.0.15

A Pulumi provider for managing DevZero infrastructure resources.

pulumi-devzero

The official Python Pulumi provider for DevZero — manage clusters, workload policies, and node policies as code.

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Installation

pip install pulumi-devzero

Requires: pulumi>=3.0.0,<4.0.0, Python 3.9+

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Configuration

Before using the DevZero Pulumi provider, configure your credentials using Pulumi config.

1. Generate a Personal Access Token (PAT)

Go to the DevZero user settings page to generate your PAT token:

https://www.devzero.io/settings/user-settings/general

Create a Personal Access Token and copy it.

2. Find your Team ID

You can find your DevZero Team ID in the organization settings:

https://www.devzero.io/settings/organization-settings/account

Copy the Team ID value from this page.

3. Set Pulumi configuration

Run the following commands in your Pulumi project:

pulumi config set --secret devzero:token <YOUR_PAT_TOKEN>
pulumi config set devzero:teamId <TEAM_ID>

Example

pulumi config set --secret devzero:token dz_pat_xxxxxxxxxxxxx
pulumi config set devzero:teamId team_123456789

The --secret flag ensures that your token is encrypted in the Pulumi state.

---

Quick Start

import pulumi
import pulumi_devzero as devzero

# 1. Create a cluster
cluster = devzero.resources.Cluster("prod-cluster",
    name="prod-cluster",
)

# 2. Create a workload policy with CPU vertical scaling
policy = devzero.resources.WorkloadPolicy("cpu-scaling-policy",
    name="cpu-scaling-policy",
    description="Policy with CPU vertical scaling enabled",
    cpu_vertical_scaling=devzero.resources.VerticalScalingArgsArgs(
        enabled=True,
        target_percentile=0.95,
        min_request=50,
        max_request=4000,
        max_scale_up_percent=100,
        max_scale_down_percent=25,
        overhead_multiplier=1.1,
        limits_adjustment_enabled=True,
        limit_multiplier=1.5,
    ),
)

# 3. Apply the policy to the cluster for all Deployments
target = devzero.resources.WorkloadPolicyTarget("prod-cluster-target",
    name="prod-cluster-deployments-target",
    description="Apply cpu-scaling-policy to all Deployments in prod-cluster",
    policy_id=policy.id,
    cluster_ids=[cluster.id],
    kind_filter=["Deployment"],
    enabled=True,
)

pulumi.export("cluster_id", cluster.id)
pulumi.export("cluster_token", pulumi.Output.secret(cluster.token))
pulumi.export("policy_id", policy.id)
pulumi.export("target_id", target.id)

pulumi up

---

Resources

Cluster

Provision and manage a DevZero cluster.

import pulumi
import pulumi_devzero as devzero

cluster = devzero.resources.Cluster("my-cluster",
    name="my-cluster",
)

pulumi.export("id", cluster.id)
pulumi.export("token", pulumi.Output.secret(cluster.token))

---

WorkloadPolicy

Configure vertical and horizontal scaling policies for workloads.

import pulumi_devzero as devzero

policy = devzero.resources.WorkloadPolicy("my-policy",
    name="my-policy",
    description="Vertical scaling for CPU and memory",
    cpu_vertical_scaling=devzero.resources.VerticalScalingArgsArgs(
        enabled=True,
        target_percentile=0.95,
        min_request=50,
        max_request=4000,
        max_scale_up_percent=100,
        max_scale_down_percent=25,
        overhead_multiplier=1.1,
        limits_adjustment_enabled=True,
        limit_multiplier=1.5,
    ),
    memory_vertical_scaling=devzero.resources.VerticalScalingArgsArgs(
        enabled=True,
        target_percentile=0.9,
        min_request=128,
        max_request=8192,
        max_scale_up_percent=50,
        max_scale_down_percent=20,
        overhead_multiplier=1.2,
        limits_adjustment_enabled=True,
        limit_multiplier=1.3,
    ),
)

VerticalScalingArgsArgs fields:

Field	Type	Description
enabled	bool	Enable this scaling axis
target_percentile	float	Percentile of observed usage to target (e.g. 0.95)
min_request	int	Minimum resource request (millicores / MiB)
max_request	int	Maximum resource request (millicores / MiB)
max_scale_up_percent	int	Max % to scale up in one step
max_scale_down_percent	int	Max % to scale down in one step
overhead_multiplier	float	Multiplier added on top of the recommendation
limits_adjustment_enabled	bool	Whether to also adjust resource limits
limit_multiplier	float	Limits = request × limit_multiplier

---

WorkloadPolicyTarget

Apply a workload policy to one or more clusters with optional filters.

import pulumi_devzero as devzero

target = devzero.resources.WorkloadPolicyTarget("my-target",
    name="my-target",
    policy_id=policy.id,
    cluster_ids=[cluster.id],
    kind_filter=["Deployment", "StatefulSet"],
    namespace_filter=["production"],
    enabled=True,
)

Fields:

Field	Type	Description
name	str	Unique target name
policy_id	str	ID of the WorkloadPolicy to apply
cluster_ids	list[str]	Cluster IDs to target
kind_filter	list[str]	Pod | Deployment | StatefulSet | DaemonSet | Job | CronJob | ReplicaSet | ReplicationController | Rollout
namespace_filter	list[str]	Restrict to specific namespaces (optional)
enabled	bool	Activate the target

---

NodePolicy

Configure node provisioning and pooling (AWS / Azure).

import pulumi_devzero as devzero

node_policy = devzero.resources.NodePolicy("my-node-policy",
    name="my-node-policy",
)

---

NodePolicyTarget

Apply a node policy to one or more clusters.

import pulumi_devzero as devzero

node_policy_target = devzero.resources.NodePolicyTarget("my-node-policy-target",
    name="my-node-policy-target",
    policy_id=node_policy.id,
    cluster_ids=[cluster.id],
    enabled=True,
)

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Destroying Resources

# Tear down all resources in the stack
pulumi destroy

# Remove the stack itself
pulumi stack rm <stack-name>

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Links

• DevZero
• Pulumi Registry
• GitHub — devzero-inc/pulumi-provider-devzero
• Report an issue

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License

MIT — Copyright (c) 2026 DevZero Inc.