Google Cloud 네트워킹 관측 가능성 레시피

Google Cloud 네트워킹 문제를 로그, 메트릭, 진단을 분석하여 조사합니다. VPC 플로우 로그, NAT, 방화벽 또는 위협 로그 조사, 지연 시간 및 처리량 메트릭 쿼리, 또는 경로 진단을 위한 연결성 테스트 실행 시 사용합니다.

Google Cloud 네트워킹 관측 가능성 레시피란 무엇인가요?

이 스킬은 Google Cloud 환경에서 네트워킹 문제를 진단하고 해결하는 데 특화된 AI 어시스턴트 기능입니다. VPC 플로우 로그, Cloud NAT 로그, 방화벽 규칙 로그, threat intelligence 로그 등 다양한 네트워크 로그를 분석하여 트래픽 패턴, 비정상 활동, 보안 위협을 식별할 수 있습니다. 또한 Cloud Monitoring 메트릭을 활용하여 네트워크 지연 시간, 패킷 손실, 처리량 병목 등 성능 문제를 정량적으로 평가하며, Network Intelligence Center의 Connectivity Tests를 자동화하여 특정 경로의 연결성, 방화벽 규칙 차단 여부, 라우팅 문제를 단계별로 진단합니다. 주로 Claude Code, Cursor, Codex와 같은 AI 코딩 에이전트에서 사용되며, 명령어 기반으로 Google Cloud SDK(gcloud) 및 API를 통해 실시간 데이터를 수집하고 분석 결과를 JSON이나 테이블 형식으로 요약하여 제공합니다. 개발자나 DevOps 엔지니어가 수동으로 클라우드 콘솔을 탐색하지 않고도 네트워크 문제를 신속하게 파악하고 해결 방안을 도출할 수 있도록 지원합니다.

지원 대상~Claude Code~Codex CLI~Cursor

npx skills add https://github.com/google/skills/tree/main/skills/google-cloud-recipe-networking-observability

Installed? Explore more 코딩 & 개발 skills: steipete/bluebubbles, steipete/eightctl, steipete/blucli · View all 6 →

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ChatGPT Claude Gemini Grok Perplexity DeepSeek

문서

Google Cloud 네트워킹 관측 가능성 레시피은(는) 무엇을 하나요?

Individual skills in this repo

This repo contains 18 individual skills — each has its own dedicated page.

google/agent-platform-skill-registry

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.

google/alloydb-basics

Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB model context protocol (MCP) tools for automated database operations.

google/bigquery-basics

Manages datasets, tables, and jobs in BigQuery, and integrates with BigQuery ML and Gemini for advanced data analytics and AI-driven insights. Use when you need to interact with BigQuery, run SQL queries, manage BigQuery resources, or leverage BigQuery's built-in ML capabilities. Also use when performing data analysis, ingesting data into BigQuery, or developing AI applications on BigQuery.

google/cloud-run-basics

Manages Cloud Run services, jobs, and worker pools. Use when you need to deploy applications responding to HTTP requests (services), run event-triggered or scheduled tasks (jobs), or handle always-on pull-based background processing (worker pools).

google/cloud-sql-basics

This file generates or explains Cloud SQL resources. Use this file when the user asks to create a Cloud SQL instance or database for MySQL, PostgreSQL, or SQL Server. Cloud SQL manages third-party MySQL, PostgreSQL, and SQL Server instances as resources in Cloud SQL. For example, when Cloud SQL creates an open-source MySQL instance, the resulting resource is a Cloud SQL for MySQL instance that Google Cloud manages. Cloud SQL handles backups, high availability, and secure connectivity for relational database workloads.

google/firebase-basics

Use this skill whenever you are working on a project that uses Firebase products or services, especially for mobile or web apps.

google/gemini-api

Use when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI, Google Cloud, or Agent Platform. Guides the usage of the Gemini API on Agent Platform with the Google Gen AI SDK. Covers SDK usage (Python, JS/TS, Go, Java, C#), capabilities like multimodal inputs, tools, media generation, caching, batch prediction, and Live API.

google/gemini-interactions-api

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.

google/gke-basics

Plan, create, and configure production-ready Google Kubernetes Engine (GKE) clusters using the golden path Autopilot configuration. Covers Day-0 checklist, Autopilot vs Standard, networking (private clusters, VPC-native, Gateway API), security (Workload Identity, Secret Manager, RBAC hardening), observability, scaling, cost optimization, and AI/ML inference. WHEN: create GKE cluster, provision GKE environment, design GKE networking, secure GKE, optimize GKE cost, GKE autoscaling, GKE inference, GKE upgrade, GKE observability, GKE multi-tenancy, GKE batch, GKE HPC, GKE compute class.

google/google-cloud-networking-observability

Investigates Google Cloud networking issues by analyzing logs, metrics, and diagnostics. Use when investigating VPC Flow Logs (including cost estimation), NAT, firewall, or threat logs, querying latency and throughput metrics, or running Connectivity Tests for path diagnostics. Don't use for generic VM management or non-observability tasks.

google/google-cloud-recipe-auth

Provides expert guidance on authenticating and authorizing to Google Cloud services and APIs, covering human users, service identities, Application Default Credentials (ADC), and best practices for secure access.

google/google-cloud-recipe-onboarding

Guides a developer's first steps on Google Cloud, covering account creation, billing setup, project management, and deploying a first resource. Use when a new developer wants to initialize their first Google Cloud project, configure billing, and verify deployment. Don't use for enterprise organization setup (use Google Cloud Setup guided flow for that instead). Don't use for complex multi-project architectures.

google/google-cloud-waf-cost-optimization

Generates cost optimization guidance for Google Cloud workloads based on the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify cost requirements and constraints, and provide actionable recommendations for build, deploy, and manage the workload cost-efficiently in Google Cloud.

google/google-cloud-waf-operational-excellence

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.

google/google-cloud-waf-performance-optimization

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.

google/google-cloud-waf-reliability

Generates reliability-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Google Cloud Well-Architected Framework. Use this skill to evaluate a workload, identify reliability requirements, and provide actionable recommendations for build, deploy, and manage the workload reliably in Google Cloud.

google/google-cloud-waf-security

Generates security-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 security requirements, and provide actionable recommendations for IAM, network security, data protection, and operational security.

google/google-cloud-waf-sustainability

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.