terraform-workspace
Terraform workspace management for multi-environment deployments
Découvrez les skills blockchain containers, comparez leurs dépôts et consultez leurs instructions.
Terraform workspace management for multi-environment deployments
Game server deployment with Docker, Kubernetes, and global distribution strategies
Production-grade ML infrastructure with Kubernetes, auto-scaling, and cost optimization
Service mesh implementation with Istio, Linkerd for traffic management
Master GitOps practices, CI/CD integration, Helm charts, Kustomize, and ArgoCD. Learn modern deployment patterns and infrastructure as code.
Master Docker containerization, image building, optimization, and container registry management. Learn containerization best practices and image security.
Master Kubernetes observability, monitoring with Prometheus, logging, metrics, and distributed tracing. Learn to implement comprehensive monitoring strategies.
Multi-cluster Kubernetes management, federation, and hybrid deployments
Master Kubernetes Deployments, StatefulSets, DaemonSets, and workload orchestration. Learn deployment patterns and container orchestration strategies.
Kubernetes cost management, resource optimization, and FinOps practices
Kubernetes debugging, problem diagnosis, and issue resolution
Master Kubernetes security, RBAC, network policies, pod security, and compliance. Learn to secure clusters and enforce access control.
Master Kubernetes storage management and networking architecture. Learn persistent storage, network policies, service discovery, and ingress routing.
Master Kubernetes cluster administration, from initial setup through production management. Learn cluster installation, scaling, upgrades, and HA strategies.
Deploy applications with Docker and Kubernetes, automate with CI/CD, manage infrastructure with code, and configure cloud platforms and networking.
Deploy and operate AI workloads on Kubernetes with GPU scheduling, model serving, and MLOps patterns
Deploy and operate AI workloads on Kubernetes with GPU scheduling, model serving, and MLOps patterns
Use when (1) deploying web application to Vercel staging or production, (2) monitoring deployment progress, (3) running post-deployment verification. Manages Vercel deployment workflow with safety checks.
Configure Docker for local development and production. Use when adding Docker support to a project. Triggers on "setup docker", "add docker", "dockerize", "docker configuration", "devcontainer".
Add a new environment variable to the application. Use when adding configuration for external services, feature flags, or application settings. Triggers on "add env", "environment variable", "config variable".
Master DevOps, cloud infrastructure, containerization, CI/CD, Kubernetes, and infrastructure as code. Use when deploying applications, setting up infrastructure, or managing cloud services.
Master Docker containerization for Rust applications
Master Docker, Kubernetes, Terraform, AWS, Linux, CI/CD, and infrastructure as code. Deploy and manage cloud applications at scale.
Set up multi-container applications with Docker Compose including services, networks, and volumes
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.