// Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB model context protocol (MCP) tools for automated database operations.
Generates operations-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Operational Excellence pillar of the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify operational requirements, and provide actionable recommendations for deployment, monitoring, and incident management.
Generates performance-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Performance Optimization pillar of the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify performance requirements, and provide actionable recommendations for resource allocation, modular design, and elasticity.
Generates sustainability-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify environmental impact requirements, and provide actionable recommendations to build, deploy, and manage the workload sustainably in Google Cloud.
Manages custom Agent resources on Gemini Enterprise Agent Platform. Use when the user wants to programmatically create, configure, list, update, or delete stateful, server-managed Agent resources (including mounting files, skills, and tools) before executing conversations.
Interact with the Gemini Enterprise Agent Platform Skill Registry to create and search for available skills. Use this skill to enable agents to register functionality or discover new capabilities.
Guides the usage of Gemini Interactions API on Gemini Enterprise Agent Platform. Use when the user wants to use the stateful, server-managed Interactions API for multi-turn conversations, background execution, streaming, structured output, and function calling on the Agent Platform.
| name | alloydb-basics |
| description | Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB model context protocol (MCP) tools for automated database operations. |
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.
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
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.