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gcp-cloud-run

by aj-geddes

Deploy containerized applications on Google Cloud Run with automatic scaling, traffic management, and service mesh integration. Use for container-based serverless computing.

Installation

Pick a client and clone the repository into its skills directory.

Installation

Quick info

Author
aj-geddes
Category
DevOps
Views
100

About this skill

Deploy containerized applications on Google Cloud Run with automatic scaling, traffic management, and service mesh integration. Use for container-based serverless computing.

How to use

  1. Przygotuj aplikację w kontenerze, tworząc plik Dockerfile z obrazem bazowym (np. node:18-alpine), instalując zależności i definiując punkt wejścia.

  2. Zaloguj się do Google Cloud za pomocą gcloud CLI i ustaw projekt: gcloud config set project MY_PROJECT_ID.

  3. Zbuduj obraz kontenera i wypchnij go do Google Container Registry: gcloud builds submit --tag gcr.io/MY_PROJECT_ID/my-app:latest.

  4. Wdróż aplikację na Cloud Run, określając region, zasoby (pamięć, CPU), limity instancji i zmienne środowiskowe: gcloud run deploy my-app --image gcr.io/MY_PROJECT_ID/my-app:latest --platform managed --region us-central1 --memory 512Mi --cpu 1 --max-instances 100.

  5. Skonfiguruj dostęp publiczny, jeśli potrzebny, przydzielając rolę run.invoker użytkownikom lub allUsers za pomocą gcloud run services add-iam-policy-binding.

  6. Monitoruj usługę, pobierając URL serwisu (gcloud run services describe my-app --format 'value(status.url)') i przeglądając logi (gcloud run services logs read my-app --limit 50).

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