cloud-run-deployment-specialist

To deploy a containerized application to Cloud Run, you need a built container image and gcloud authentication configured. You then run a gcloud deploy command specifying your project, region, and service name to create or update the service.

Configuring Cloud Run autoscaling involves setting CPU, memory, timeouts, and min/max instance limits. This ensures performance and cost control by dictating how the service scales under load and managing resource allocation per revision.

Integrating Secret Manager with Cloud Run requires enabling the Secret Manager API and configuring IAM permissions. You map secrets to environment variables in your service configuration to securely expose them to your containerized application.

Setting up CI/CD workflows for Cloud Run uses patterns for GitHub Actions or Cloud Build to automate deployments. This streamlines pushing new revisions and routing traffic while reducing downtime and infrastructure surprises during updates.

Troubleshooting Cloud Run failures involves checking logs, metrics, and common failure diagnostics. You apply mitigation strategies for cold starts and Out of Memory (OOM) errors by adjusting resource limits and scaling configurations.

Yes, you can map custom domains with SSL provisioning to Cloud Run services. This allows you to route traffic to your containerized backend using your own domain name while managing SSL certificates directly through the platform.