What problem does it solve?
Deploying and operating applications across edge and cloud platforms is fragmented, error-prone, and time-consuming; this Skill unifies serverless, container, and Kubernetes workflows with automation, best practices, and repeatable scripts to reduce manual steps and deployment risk.
Core Features & Use Cases
- Automated deployment targets: Cloudflare Workers/Pages (wrangler), R2, D1; Google Cloud Run and GKE; Docker images and Compose.
- Kubernetes management: kubectl, Helm chart templating, GitOps workflows (Argo CD/Flux), and cluster security/RBAC guidance.
- CI/CD and automation: scripts to build, test, deploy, and rollback with environment handling and session reuse for browser rendering tasks.
- Real-world example: build a multi-stage Docker image, push to a registry, deploy to Cloud Run, and update a Helm release via a GitOps commit with zero-downtime rollout.
Quick Start
Deploy a Docker image gcr.io/my-project/my-image:latest to Cloud Run in us-central1 with health checks and an automated rollout using the devops skill.