Can I use this for local development?

Yes, it includes robust Docker Compose configurations for orchestrating multi-container local environments with database and caching layers.

Does it support Kubernetes scaling?

Absolutely. It includes Horizontal Pod Autoscaler (HPA) configurations to automatically scale replicas based on CPU and memory utilization.

How does it handle application configuration?

The skill provides patterns for managing environment variables and sensitive data using Kubernetes ConfigMaps and Secrets.

Yes, it includes standardized Helm Chart structures (Chart.yaml and values.yaml) for managing complex Kubernetes releases.

What containerization patterns does this skill include?

It provides multi-stage build patterns for Node.js and Python to minimize image sizes and improve security by separating build and runtime environments.

Docker & Kubernetes Orchestrator

Name: Docker & Kubernetes Orchestrator
Author: Krosebrook

byKrosebrook

•

Despliegue y DevOps

Automates production-grade containerization and orchestration workflows using Docker, Docker Compose, and Kubernetes.

Acerca de

This skill provides Claude with expert-level guidance for managing the entire lifecycle of containerized applications, from crafting optimized multi-stage Dockerfiles to architecting complex Kubernetes deployments. It streamlines microservices management through standardized Docker Compose patterns, Helm chart configurations, and Horizontal Pod Autoscaling (HPA) strategies, ensuring your applications are scalable, secure, and production-ready within any modern cloud infrastructure.

Características Principales

Automated scaling configurations and Helm chart standardization
Production-ready Kubernetes manifests for Deployments, Ingress, and Services
Optimized multi-stage Docker builds for Node.js and Python environments
Microservices orchestration patterns using Docker Compose with health checks
Stateful application management using StatefulSets and Persistent Volumes
1 GitHub stars

Casos de Uso

Containerizing monolithic applications into optimized microservices
Standardizing local development environments and CI/CD pipelines
Deploying and scaling production workloads on managed Kubernetes clusters

Acerca de

Características Principales

Automated scaling configurations and Helm chart standardization
Production-ready Kubernetes manifests for Deployments, Ingress, and Services
Optimized multi-stage Docker builds for Node.js and Python environments
Microservices orchestration patterns using Docker Compose with health checks
Stateful application management using StatefulSets and Persistent Volumes
1 GitHub stars

Casos de Uso

Containerizing monolithic applications into optimized microservices
Standardizing local development environments and CI/CD pipelines
Deploying and scaling production workloads on managed Kubernetes clusters