AlloyDB performance snapshot and reports now support read pool instance nodes, providing deeper observability into read operations and replica-specific performance issues

## Feature Feature AlloyDB [performance snapshot and reports](https://cloud.google.com/alloydb/docs/optimize-database-performance-compare-snapshots) now support read pool instance nodes, providing deeper observability into read operations and replica-specific performance issues. ## Announcement Announcement New best practices are available for securing generative AI agents using Model Context Protocol (MCP) with Google Cloud databases. This guide covers key security measures like least privilege, native database controls, and secure agent design to help you build safer AI applications. For more information, see[Best practices for securing agent interactions with Model Context Protocol](https://cloud.google.com/alloydb/docs/ai/secure-agent-interactions-mcp). ## Feature Feature You can now make AI function calls in bulk rather than row-by-row, which lets you scale your intelligent workflows faster with new support for array-based processing. For more information, see[Perform intelligent SQL queries using AI functions](https://cloud.google.com/alloydb/docs/ai/evaluate-semantic-queries-ai-operators). This feature is in [Preview](https://cloud.google.com/products#product-launch-stages). ## Feature Feature You can now use the [AlloyDB remote MCP server](https://cloud.google.com/alloydb/docs/ai/use-alloydb-mcp). The AlloyDB remote MCP server lets you interact easily with AlloyDB clusters from LLMs, AI applications, and AI-enabled development platforms. This feature is in [Preview](https://cloud.google.com/products#product-launch-stages).