Automate cloud-native infrastructure deployment across Cloudflare, Docker, Google Cloud, and Kubernetes.
npx skills add https://github.com/EdgeHunt/EdgeHunt --skill ck-devops-edgehunt
Please help me install this Agent Skill. Skill: ck:devops Source: https://github.com/EdgeHunt/EdgeHunt/tree/main/.claude/skills/devops Command: npx skills add https://github.com/EdgeHunt/EdgeHunt --skill ck-devops-edgehunt
Deploy and govern cloud infrastructure across Cloudflare, Docker, Google Cloud, and Kubernetes, enabling consistent, automated deployments and audits.
Install the required CLIs (wrangler, gcloud, and kubectl) and run a sample multi-cloud deployment to verify end-to-end automation.
High-intent search queries and answers about installing and using this skill.
Multi-cloud deployments across Cloudflare, Docker, and Google Cloud are automated by integrating wrangler, gcloud, and kubectl bindings into a single pipeline. This enables consistent CI/CD workflows and deterministic infrastructure rollouts across serverless and containerized environments.
Yes, Kubernetes workloads and RBAC are managed using GitOps pipelines for declarative infrastructure. This approach applies security audits and governance controls to ensure compliant operations across your containerized deployments.
Yes, installing the wrangler, gcloud, and kubectl CLIs is required before setting up cross-platform CI/CD. These client tools provide the necessary bindings to interact with Cloudflare, Google Cloud, and Kubernetes environments for automated deployments.
The best way to rollback a serverless deployment on Cloudflare Workers and GKE is through automated validation within your CI/CD pipeline. This ensures deterministic deployments and rapid recovery by automatically reverting invalid or failed cross-cloud application rollouts.
Yes, this DevOps automation approach supports real-time security audits for cloud-native infrastructure. It integrates RBAC and compliance checks directly into your automated workflows, ensuring secure and governed deployments across all managed platforms.
A multi-cloud DevOps pipeline should not be used when your infrastructure is confined to a single cloud provider without serverless or Kubernetes workloads. It is designed for complex, cross-platform environments requiring orchestrated deployment and governance.
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