AlloyDB Basics

AlloyDB for PostgreSQL is a managed, PostgreSQL-compatible database service

designed for enterprise-grade performance and availability. It utilizes a

disaggregated compute and storage architecture to scale resources independently.

It also provides AlloyDB AI, a collection of features that includes AI-powered

search (vector, hybrid search, and AI functions), natural language capabilities,

conversational analytics, and inference features like forecasting and model

endpoint management to help developers build AI apps faster.

Quick Start

• Enable the AlloyDB API:

gcloud services enable alloydb.googleapis.com --quiet

• Create a Cluster:

gcloud alloydb clusters create my-cluster --region=us-central1 \
        --password=my-password --network=my-vpc \
        --quiet

*Note: For production, we recommend using IAM database authentication

instead of passwords. If passwords must be used, use secure secret

management (e.g., Secret Manager) instead of passing passwords in

cleartext.*

• Create a Primary Instance:

gcloud alloydb instances create my-primary --cluster=my-cluster \
        --region=us-central1 --instance-type=PRIMARY --cpu-count=2 \
        --quiet

Reference Directory

• Core Concepts: Architecture, disaggregated

storage, and performance features.

• CLI Usage: Essential gcloud alloydb commands

for cluster and instance management.

• Client Libraries & Connectors:

Connecting to AlloyDB using Python, Java, Node.js, and Go.

• MCP Usage: Using the AlloyDB remote MCP server

and Gemini CLI extension.

• Infrastructure as Code: Terraform

configuration and deployment examples.

• IAM & Security: Predefined roles, service

agents, and database authentication.

*If you need product information not found in these references, use the

Developer Knowledge MCP server search_documents tool.*