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🔧 Database-as-a-Service (DBaaS) Provisioner

Database-as-a-Service (DBaaS) Provisioner

An automated tool for provisioning and managing the lifecycle of databases using the Automation API.

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Overview

This tool or pattern uses the Pulumi Automation API to orchestrate the full lifecycle of a database. It goes beyond just provisioning the infrastructure (like an AWS RDS instance). After the database is successfully created, the program uses the connection info from the stack's outputs to connect to the database and perform higher-level tasks, such as running SQL schema migrations, seeding initial data, or running verification checks. This combines infrastructure provisioning and application-level setup into a single, automated workflow.

✨ Key Features

  • Provisions database infrastructure (e.g., AWS Aurora, RDS).
  • Retrieves connection info (endpoint, credentials) from stack outputs.
  • Connects to the newly created database to perform actions.
  • Can run schema migrations or seed data.
  • Combines infrastructure and application setup in one program.

🎯 Key Differentiators

  • Unifies infrastructure provisioning and application-level database setup into a single, atomic workflow.
  • Uses a strongly-typed programming language for the entire process.
  • Leverages Pulumi's state management to track the infrastructure.

Unique Value: Creates a fully-provisioned and application-ready database in a single, automated step, reducing coordination overhead between infrastructure and application deployment.

🎯 Use Cases (3)

Automating the creation of databases for new services. Integrating database schema migrations into the infrastructure deployment process. Creating ephemeral databases for integration testing.

✅ Best For

  • An official Pulumi example demonstrates provisioning an AWS Aurora database and then executing a migration within the same Go program to create a table and insert data.

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Managing databases where schema changes are handled by a separate, dedicated DevOps process.
  • Simple scenarios where only the infrastructure needs to be provisioned.

🏆 Alternatives

Cloud provider managed database services (RDS, etc.) Dedicated schema migration tools Custom deployment scripts

Instead of a multi-step process (run Pulumi/Terraform, then grab outputs, then run a separate migration script), this pattern combines them into one transactional, programmatic workflow, which is less error-prone and easier to automate.

💻 Platforms

API

🔌 Integrations

AWS Aurora AWS RDS Azure SQL Google Cloud SQL Database migration tools (Alembic, Flyway, etc.)

💰 Pricing

Contact for pricing
Free Tier Available

Free tier: This is an example pattern/open-source project. Cost is based on the underlying cloud database resources used.

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