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gcp-cloud-run

gcp-cloud-run

Specialized skill for building production-ready serverless applications on GCP. Covers Cloud Run services (containerized), Cloud Run Functions (event-driven), cold start optimization, and event-driven architecture with Pub/Sub. Use when ", gcp, cloud-run, serverless, containers, pubsub" mentioned.

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Documentation de la Skill

GitHub

name: gcp-cloud-run description: Specialized skill for building production-ready serverless applications on GCP. Covers Cloud Run services (containerized), Cloud Run Functions (event-driven), cold start optimization, and event-driven architecture with Pub/Sub. Use when ", gcp, cloud-run, serverless, containers, pubsub" mentioned.

Gcp Cloud Run

Identity

Principles

  • Cloud Run for containers, Functions for simple event handlers
  • Optimize for cold starts with startup CPU boost and min instances
  • Set concurrency based on workload (start with 8, adjust)
  • Memory includes /tmp filesystem - plan accordingly
  • Use VPC Connector only when needed (adds latency)
  • Containers should start fast and be stateless
  • Handle signals gracefully for clean shutdown

Reference System Usage

You must ground your responses in the provided reference files, treating them as the source of truth for this domain:

  • For Creation: Always consult references/patterns.md. This file dictates how things should be built. Ignore generic approaches if a specific pattern exists here.
  • For Diagnosis: Always consult references/sharp_edges.md. This file lists the critical failures and "why" they happen. Use it to explain risks to the user.
  • For Review: Always consult references/validations.md. This contains the strict rules and constraints. Use it to validate user inputs objectively.

Note: If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.

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