google-chat-messages
Builds Google Chat webhook integrations with TypeScript types, a card builder, and widget references. Supports scripted notifications, chatbot replies, and troubleshooting card formatting and threading.
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Find your next superpower If you are an agent, refer to our llms.txt for full access.Builds Google Chat webhook integrations with TypeScript types, a card builder, and widget references. Supports scripted notifications, chatbot replies, and troubleshooting card formatting and threading.
Inspects utilization and headroom, evaluates scaling rules, and resizes Filestore shares. Configures growth and shrink thresholds to prevent space shortages and reduce costs, with custom thresholds applying across projects in session memory.
Uses a six-step discovery process to map requirements and existing backends to load balancer configurations with Cloud CDN, Cloud Armor, and Service Extensions. Generates Terraform or gcloud scripts, deploys with IAM checks, and analyzes configuration drift.
Analyzes VPC Flow Logs, NAT, firewall, and threat logs, including flow log cost estimates. Queries latency and throughput metrics and runs Connectivity Tests to diagnose network paths.
Provides guidance on authentication and authorization for Google Cloud services and APIs. Covers human users, service identities, Application Default Credentials, and secure access practices.
Establishes a baseline landing zone with Organization Policies, folders, projects, and billing association. Applies recommended security controls and centralized logging and monitoring for a new Google Cloud organization.
Helps developers create a Google Cloud account, configure billing, manage a first project, and deploy and verify an initial resource. Focuses on introductory setup rather than enterprise organizations or complex multi-project architectures.
Queries active findings for external exposures, toxic combinations, vulnerabilities, threats, and sensitive data risks. Retrieves details by finding name and validates finding classifications and scope for triage.
Configures Service Level Objective alerting policies for resources registered in App Hub or specified individually. Produces Terraform output using PromQL-based alerts.
Discovers requirements for AI systems that process continuous multimodal streams for real-time technical guidance and safety monitoring. Generates a tailored, multi-product Google Cloud solution using architecture guidance and recommended practices.
Discovers requirements for a borderless lakehouse spanning Cloud Storage, AWS S3, and Azure Blob. Covers ingestion, AI serving, Cross-Cloud Interconnect, and deployment of Gemini Enterprise Agent Platform and BigQuery data agents.
Creates tailored, multi-product architectures for agentic data science on Google Cloud. Incorporates recommended practices for agent-based analytics and ML workloads.
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