Metabase on Azure

    by walnut co

    2

    Generate modular Azure Bicep IaC to deploy Metabase on Azure Container Apps with PostgreSQL.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLIVVS CodeWWindsurfMManus+14 more

    See it in action

    You say

    I want to deploy Metabase on Azure Container Apps with a PostgreSQL backend. Can you generate the modular Bicep IaC files and show me the deployment parameters and commands?

    Your agent does

    Generated: infra/metabase/main.bicep Generated: infra/metabase/modules/postgres.bicep Parameter Worksheet: | Parameter | Source | | dbAdminPassword | Key Vault | | metabaseImage | metabase/metabase:latest |

    Run: az deployment group what-if --template-file infra/metabase/main.bicep

    What you get

    Scaffold production-ready Bicep files for Metabase on Azure Container Apps.Configure Azure Database for PostgreSQL with Metabase-required extensions.Create a secure parameter worksheet for Bicep deployments.Generate what-if and deployment commands for Azure Resource Manager.

    About this skill

    What it does

    This skill provides a complete, developer-centric workflow for deploying Metabase to Azure. It generates fresh, modular Infrastructure-as-Code (IaC) using Azure Bicep, specifically architected for production-ready Metabase instances on Azure Container Apps with a PostgreSQL Flexible Server backend.

    Why use this skill

    Manually configuring Azure infrastructure for Metabase is error-prone, especially when handling PostgreSQL extensions like CITEXT or secure transport requirements. This skill automates the skeleton creation while enforcing best practices like secret separation and modular design. Instead of just "prompting" an AI and getting a single messy file, this skill delivers a structured project directory ready for professional deployment pipelines.

    Key Features

    • Modular Architecture: Separates concerns into modules for PostgreSQL, Container Apps, and optional Container Registries.
    • Parameter Management: Generates a mapping worksheet and a .bicepparam file with secure placeholders.
    • Metabase Optimizations: Automatically configures essential environment variables (MB_DB_TYPE, SSL modes) and PostgreSQL extensions.
    • Deployment Readiness: Provides built-in commands for linting, what-if analysis, and final resource creation.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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