Pulumi Automation Api

pulumi/agent-skills/pulumi/skills/pulumi-automation-api

作者 pulumi900eacf4444f无许可证70 个星标收录于 2026年10月8日更新于 2026年10月8日仓库昨天更新

Load this skill when a user asks how to run Pulumi programmatically, embed Pulumi in an application, orchestrate multiple stacks in code, build a self-service infrastructure portal, replace pulumi CLI shell scripts with code, or use the Pulumi Automation API (LocalWorkspace, createOrSelectStack, inline programs). Also load for questions about multi-stack sequencing, parallel deployments, or passing outputs between stacks via code.

AI 生成的概览

讲解如何使用 Pulumi Automation API 以代码方式编排部署,包括多堆栈顺序、内联程序与输出传递。

功能
该技能说明如何用 Pulumi Automation API 在代码中执行 Pulumi 操作,而不依赖命令行。内容涵盖 LocalWorkspace、createOrSelectStack、内联与本地源码程序、配置设置、读取输出、错误处理,以及多堆栈的顺序与并行部署。产出的是指导说明和代码示例,而非可执行脚本。
适用场景
适用于将 Pulumi 嵌入应用、用代码编排多个堆栈、构建自助式基础设施门户或自定义 CLI,或用代码替代 Shell 与 Makefile 编排的场景。也适合解答多堆栈顺序、并行部署以及堆栈间输出传递的问题。
运行要求
不包含脚本,仅为说明性内容。按示例操作需要已有 Pulumi 项目、对应语言的 Pulumi Automation API 包,以及对目标云平台的访问权限。

Pulumi Automation API

When to Use This Skill

Invoke this skill when:

  • Orchestrating deployments across multiple Pulumi stacks
  • Embedding Pulumi operations in custom applications
  • Building self-service infrastructure platforms
  • Replacing fragile Bash/Makefile orchestration scripts
  • Creating custom CLIs for infrastructure management
  • Building web applications that provision infrastructure

What is Automation API

Automation API provides programmatic access to Pulumi operations. Instead of running pulumi up from the CLI, you call functions in your code that perform the same operations.

typescript
import * as automation from "@pulumi/pulumi/automation";
// Create or select a stackconst stack = await automation.LocalWorkspace.createOrSelectStack({    stackName: "dev",    projectName: "my-project",    program: async () => {        // Your Pulumi program here    },});
// Run pulumi up programmaticallyconst upResult = await stack.up({ onOutput: console.log });console.log(`Update summary: ${JSON.stringify(upResult.summary)}`);

When to Use Automation API

Good Use Cases

Multi-stack orchestration:

When you split infrastructure into multiple focused projects, Automation API helps offset the added complexity by orchestrating operations across stacks:

text
infrastructure → platform → application     ↓              ↓            ↓   (VPC)      (Kubernetes)   (Services)

Automation API ensures correct sequencing without manual intervention.

Self-service platforms:

Build internal tools where developers request infrastructure without learning Pulumi:

  • Web portals for environment provisioning
  • Slack bots that create/destroy resources
  • Custom CLIs tailored to your organization

Embedded infrastructure:

Applications that provision their own infrastructure:

  • SaaS platforms creating per-tenant resources
  • Testing frameworks spinning up test environments
  • CI/CD systems with dynamic infrastructure needs

Replacing fragile scripts:

If you have Bash scripts or Makefiles stitching together multiple pulumi commands, Automation API provides:

  • Proper error handling
  • Type safety
  • Programmatic access to outputs

When NOT to Use

  • Single project with standard deployment needs
  • When you don't need programmatic control over operations

Architecture Choices

Local Source vs Inline Source

Local Source - Pulumi program in separate files:

typescript
const stack = await automation.LocalWorkspace.createOrSelectStack({    stackName: "dev",    workDir: "./infrastructure",  // Points to existing Pulumi project});

When to use:

  • Different teams maintain orchestrator vs Pulumi programs
  • Pulumi programs already exist
  • Want independent version control and release cycles
  • Platform team orchestrating application team's infrastructure

Inline Source - Pulumi program embedded in orchestrator:

typescript
import * as aws from "@pulumi/aws";
const stack = await automation.LocalWorkspace.createOrSelectStack({    stackName: "dev",    projectName: "my-project",    program: async () => {        const bucket = new aws.s3.Bucket("my-bucket");        return { bucketName: bucket.id };    },});

When to use:

  • Single team owns everything
  • Tight coupling between orchestration and infrastructure is desired
  • Distributing as compiled binary (no source files needed)
  • Simpler deployment artifact

Language Independence

The Automation API program can use a different language than the Pulumi programs it orchestrates:

text
Orchestrator (Go) → manages → Pulumi Program (TypeScript)

This enables platform teams to use their preferred language while application teams use theirs.

Common Patterns

Multi-Stack Orchestration

Deploy multiple stacks in dependency order:

typescript
import * as automation from "@pulumi/pulumi/automation";
async function deploy() {    const stacks = [        { name: "infrastructure", dir: "./infra" },        { name: "platform", dir: "./platform" },        { name: "application", dir: "./app" },    ];
    for (const stackInfo of stacks) {        console.log(`Deploying ${stackInfo.name}...`);
        const stack = await automation.LocalWorkspace.createOrSelectStack({            stackName: "prod",            workDir: stackInfo.dir,        });
        await stack.up({ onOutput: console.log });        console.log(`${stackInfo.name} deployed successfully`);    }}
async function destroy() {    // Destroy in reverse order    const stacks = [        { name: "application", dir: "./app" },        { name: "platform", dir: "./platform" },        { name: "infrastructure", dir: "./infra" },    ];
    for (const stackInfo of stacks) {        console.log(`Destroying ${stackInfo.name}...`);
        const stack = await automation.LocalWorkspace.selectStack({            stackName: "prod",            workDir: stackInfo.dir,        });
        await stack.destroy({ onOutput: console.log });    }}

Passing Configuration

Set stack configuration programmatically:

typescript
const stack = await automation.LocalWorkspace.createOrSelectStack({    stackName: "dev",    workDir: "./infrastructure",});
// Set configuration valuesawait stack.setConfig("aws:region", { value: "us-west-2" });await stack.setConfig("dbPassword", { value: "secret", secret: true });
// Then deployawait stack.up();

Reading Outputs

Access stack outputs after deployment:

typescript
const upResult = await stack.up();
// Get all outputsconst outputs = await stack.outputs();console.log(`VPC ID: ${outputs["vpcId"].value}`);
// Or from the up resultconsole.log(`Outputs: ${JSON.stringify(upResult.outputs)}`);

Error Handling

Handle deployment failures gracefully:

typescript
try {    const result = await stack.up({ onOutput: console.log });
    if (result.summary.result === "failed") {        console.error("Deployment failed");        process.exit(1);    }} catch (error) {    console.error(`Deployment error: ${error}`);    throw error;}

Parallel Stack Operations

When stacks are independent, deploy in parallel:

typescript
const independentStacks = [    { name: "service-a", dir: "./service-a" },    { name: "service-b", dir: "./service-b" },    { name: "service-c", dir: "./service-c" },];
await Promise.all(independentStacks.map(async (stackInfo) => {    const stack = await automation.LocalWorkspace.createOrSelectStack({        stackName: "prod",        workDir: stackInfo.dir,    });    return stack.up({ onOutput: (msg) => console.log(`[${stackInfo.name}] ${msg}`) });}));

Best Practices

Separate Configuration from Code

Externalize configuration into files or environment variables:

typescript
import * as fs from "fs";
interface DeployConfig {    stacks: Array<{ name: string; dir: string; }>;    environment: string;}
const config: DeployConfig = JSON.parse(    fs.readFileSync("./deploy-config.json", "utf-8"));
for (const stackInfo of config.stacks) {    const stack = await automation.LocalWorkspace.createOrSelectStack({        stackName: config.environment,        workDir: stackInfo.dir,    });    await stack.up();}

This enables distributing compiled binaries without exposing source code.

Stream Output for Long Operations

Use onOutput callback for real-time feedback:

typescript
await stack.up({    onOutput: (message) => {        process.stdout.write(message);        // Or send to logging system, websocket, etc.    },});

Quick Reference

ScenarioApproach
Existing Pulumi projectsLocal source with workDir
New embedded infrastructureInline source with program function
Different teamsLocal source for independence
Compiled binary distributionInline source or bundled local
Multi-stack dependenciesSequential deployment in order
Independent stacksParallel deployment with Promise.all

Related Skills

  • pulumi-best-practices: Code-level patterns for Pulumi programs

References

来源与署名

来源:pulumi/agent-skills位于pulumi/skills/pulumi-automation-api提交900eacf

许可证: 无许可证

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