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/managing-astro-deployments

Manage Astronomer production deployments with Astro CLI. Use when the user wants to authenticate, switch workspaces, create/update/delete deployments, or deploy code to production.

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astronomer-data
45935 skills3 commands

Claude Code

$ npx -y skills add astronomer/agents --skill managing-astro-deployments --agent claude-code

SKILL.md

managing-astro-deployments.SKILL.md
name: managing-astro-deployments
description: Manage Astronomer production deployments with Astro CLI. Use when the user wants to authenticate, switch workspaces, create/update/delete deployments, or deploy code to production.

Astro Deployment Management

This skill helps you manage production Astronomer deployments using the Astro CLI.

> **For local development**, see the **managing-astro-local-env** skill. > **For production troubleshooting**, see the **troubleshooting-astro-deployments** skill.

---

Authentication

All deployment operations require authentication:

# Login to Astronomer (opens browser for OAuth)
astro login

Authentication tokens are stored locally for subsequent commands. Run this before any deployment operations.

---

Workspace Management

Deployments are organized into workspaces:

# List all accessible workspaces
astro workspace list

# Switch to a specific workspace
astro workspace switch <WORKSPACE_ID>

Workspace context is maintained between sessions. Most deployment commands operate within the current workspace context.

---

List and Inspect Deployments

# List deployments in current workspace
astro deployment list

# List deployments across all workspaces
astro deployment list --all

# Inspect specific deployment (detailed info)
astro deployment inspect <DEPLOYMENT_ID>

# Inspect by name (alternative to ID)
astro deployment inspect --deployment-name data-service-stg

What `inspect` Shows

  • Deployment status (HEALTHY, UNHEALTHY)
  • Runtime version and Airflow version
  • Executor type (CELERY, KUBERNETES, LOCAL)
  • Scheduler configuration (size, count)
  • Worker queue settings (min/max workers, concurrency, worker type)
  • Resource quotas (CPU, memory)
  • Environment variables
  • Last deployment timestamp and current tag
  • Webserver and API URLs
  • High availability status

---

Create Deployments

# Create with default settings
astro deployment create

# Create with specific executor
astro deployment create --label production --executor celery
astro deployment create --label staging --executor kubernetes

# Executor options:
#   - celery: Best for most production workloads
#   - kubernetes: Best for dynamic scaling, isolated tasks
#   - local: Best for development only

---

Update Deployments

# Enable DAG-only deploys (faster iteration)
astro deployment update <DEPLOYMENT_ID> --dag-deploy-enabled

# Update other settings (use --help for full options)
astro deployment update <DEPLOYMENT_ID> --help

---

Delete Deployments

# Delete a deployment (requires confirmation)
astro deployment delete <DEPLOYMENT_ID>

**Destructive**: This cannot be undone. All DAGs, task history, and metadata will be lost.

---

Deploy Code to Production

Full Deploy

Deploy both DAGs and Docker image (required when dependencies change):

astro deploy <DEPLOYMENT_ID>

Use when:

  • Dependencies changed (`requirements.txt`, `packages.txt`, `Dockerfile`)
  • First deployment of new project
  • Significant infrastructure changes

DAG-Only Deploy (Recommended for Iteration)

Deploy only DAG files, skip Docker image rebuild:

astro deploy <DEPLOYMENT_ID> --dags

Use when:

  • Only DAG files changed (Python files in `dags/` directory)
  • Quick iteration during development
  • Much faster than full deploy (seconds vs minutes)

**Requires**: `--dag-deploy-enabled` flag set on deployment (see Update Deployments)

Image-Only Deploy

Deploy only Docker image, skip DAG sync:

astro deploy <DEPLOYMENT_ID> --image-only

Use when:

  • Only dependencies changed
  • Dockerfile or requirements updated
  • No DAG changes

Force Deploy

Bypass safety checks and deploy:

astro deploy <DEPLOYMENT_ID> --force

**Caution**: Skips validation that could prevent broken deployments.

---

Deployment API Tokens

Manage API tokens for programmatic access to deployments:

# List tokens for a deployment
astro deployment token list --deployment-id <DEPLOYMENT_ID>

# Create a new token
astro deployment token create \
  --deployment-id <DEPLOYMENT_ID> \
  --name "CI/CD Pipeline" \
  --role DEPLOYMENT_ADMIN

# Create token with expiration
astro deployment token create \
  --deployment-id <DEPLOYMENT_ID> \
  --name "Temporary Access" \
  --role DEPLOYMENT_ADMIN \
  --expiry 30  # Days until expiration (0 = never expires)

**Roles**:

  • `DEPLOYMENT_ADMIN`: Full access to deployment

**Note**: Token value is only shown at creation time. Store it securely.

---

Common Workflows

First-Time Production Deployment

# 1. Login
astro login

# 2. Switch to production workspace
astro workspace list
astro workspace switch <PROD_WORKSPACE_ID>

# 3. Create deployment
astro deployment create --label production --executor celery

# 4. Note the deployment ID, then deploy
astro deploy <DEPLOYMENT_ID>

Iterative DAG Development

# 1. Enable fast deploys (one-time setup)
astro deployment update <DEPLOYMENT_ID> --dag-deploy-enabled

# 2. Make DAG changes locally

# 3. Deploy quickly
astro deploy <DEPLOYMENT_ID> --dags

Promoting Code from Staging to Production

# 1. Deploy to staging first
astro workspace switch <STAGING_WORKSPACE_ID>
astro deploy <STAGING_DEPLOYMENT_ID>

# 2. Test in staging

# 3. Deploy same code to production
astro workspace switch <PROD_WORKSPACE_ID>
astro deploy <PROD_DEPLOYMENT_ID>

---

Configuration Management

# View CLI configuration
astro config get

# Set configuration value
astro config set <KEY> <VALUE>

# Check CLI version
astro version

# Upgrade CLI to latest version
astro upgrade

---

Tips

  • Use `--dags` flag for fast iteration (seconds vs minutes)
  • Always test in staging workspace before production
  • Use `deployment inspect` to verify deployment health before deploying
  • Deployment IDs are permanent, names can change
  • Most commands work with deployment ID; `inspect` als
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AI agent tooling for data engineering workflows. Includes an MCP server for Airflow, a CLI tool (af) for interacting with Airflow from your terminal, and skills that extend AI coding agents with specialized capabilities for working with Airflow and data

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Questions about managing-astro-deployments.

Which coding agents can use managing-astro-deployments?
managing-astro-deployments installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.