cloud-architecture-gcp

What problem does it solve?

This Skill fills the gap of GCP-specific architecture knowledge for teams building or operating on Google Cloud, eliminating costly guesswork, misconfigurations, and unexpected bills from common GCP pitfalls like cold starts, connection limits, egress overages, and quota exhaustion.

Core Features & Use Cases

• Comprehensive GCP Service Knowledge: Detailed guidance for all core GCP services including compute (Cloud Run, GKE, Cloud Functions, GCE), data (Cloud SQL, Spanner, Firestore, Bigtable), messaging (Pub/Sub, Cloud Tasks, Workflows), analytics (BigQuery), edge (Cloud CDN, Load Balancing, API Gateway), storage (GCS, Secret Manager, Artifact Registry), and Vertex AI, covering cost models, quotas, failure modes, and operational gotchas.
• Architecture Design & Scaling: Use this Skill to design production-grade GCP architectures that meet performance, reliability, and cost requirements, and to scale existing deployments without hitting service limits or incurring runaway costs.
• Cost Optimization & Diagnostics: Identify and fix costly misconfigurations (e.g., over-provisioned Cloud Run instances, unpartitioned BigQuery scans, unoptimized egress) and diagnose performance issues like Cloud Run cold starts, Cloud SQL connection exhaustion, Spanner hot spots, and Pub/Sub backlogs.
• Example Use Case: A team launching a new serverless API on GCP can use this Skill to right-size Cloud Run instances, configure Cloud SQL connection pooling, set up Pub/Sub dead-letter topics, and implement cost guardrails to avoid unexpected spend.

Quick Start

Use the cloud-architecture-gcp skill to design a cost-optimized, scalable GCP architecture for your new serverless API workload.