Set up and manage AlloyDB for PostgreSQL clusters, instances, and backups. Includes guidance for MCP integration, a way for agents to operate databases, plus references for application connections, Terraform, authentication, and AI search capabilities.
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Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB MCP tools for automated database operations including AI-powered search and vector capabilities.
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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.
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Create interactive 3D scenes for websites, including product views and scroll-driven animations. Covers choosing Three.js, React Three Fiber, or Spline, preparing lightweight models, showing loading progress, and adapting experiences for mobile devices.
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Plan A/B tests that compare page or product changes, with clear hypotheses, sample sizes, success metrics, and traffic allocation. Get a structured test plan and guidance for interpreting results and deciding what to try next.
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Prepare an academic CV for faculty, postdoctoral, or research applications. Organize publications, grants, teaching, and research experience, with section order and formatting adapted to the role and academic field.
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Design autonomous agents for Claude Code plugins, including when they should run, what tools they may use, and how they should respond. Provides configuration templates, prompt guidance, and validation steps for creating agent files.
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