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Provides practical advice on Dockerfiles, CI/CD pipelines, deployment strategies, infrastructure-as-code, and observability, helping teams containerize apps, configure GitHub Actions, plan production rollouts, and keep deployments secure and observable.

This expert provides advanced, practical knowledge across the entire lifecycle of containerized applications. Core expertise includes multi-stage Dockerfile optimization, container security hardening (non-root users, minimal attack surface), and advanced orchestration using patterns like Docker Compose. Ideal for ensuring robust, secure, and production-ready deployments.

Automates dockerfile authoring with best practices for DevOps basics, guiding users from containerization patterns to CI/CD-ready configurations while validating outputs against standards.

A comprehensive guide for deploying complex integrations to production cloud environments (GCP, Kubernetes). This skill covers best practices including creating multi-stage Dockerfiles, implementing robust health and readiness checks, and utilizing cloud tools like gcloud and kubectl for seamless, secure deployment with secret management.

This skill leverages AI to analyze your application and automatically generate highly optimized Dockerfiles. It incorporates industry best practices like multi-stage builds, minimal base images, and robust security configurations. Use it when containerizing applications or needing to optimize existing Docker configurations for production deployment and efficient orchestration.

Modal delivers cloud-native serverless Python with on-demand GPUs, persistent storage, and web endpoints to deploy ML workloads, batch jobs, and APIs without writing Dockerfiles.

This skill automates the creation of isolated, pre-configured development containers (devcontainers). It scans the project structure to detect supported languages (Python, Node.js, Rust, Go) and intelligently generates the necessary configuration files, VS Code extensions, and setup scripts. It ensures all required tools are installed in a sandboxed environment, making it ideal for starting new multi-language projects or needing consistent, reproducible development workspaces.

Optimizes Dockerfiles and docker-compose files for size, speed, and security. Provides best practices for multi-stage builds, layer caching, and container hardening. Includes analysis tools for production-grade containerization without wasting time or space.

Integrates Aqua Security's Trivy scanner into CI/CD pipelines to perform automated vulnerability scanning on Docker images and related artifacts. It detects OS package CVEs, application dependency issues, and Dockerfile misconfigurations. This ensures that only secure, compliant images can proceed to registry push or production deployment by enforcing strict quality gates.

This comprehensive template and guide facilitate the containerization of ASP.NET Core applications. It provides a structured prompt and checklist to ensure that the resulting Dockerfile adheres to industry best practices for performance, security, and maintainability when running on Linux containers. It covers all necessary aspects, including dependency management, port exposure, build stages, and custom configuration.

Helps produce Dockerfiles and a detailed containerization plan for ASP.NET .NET Framework projects running in Windows containers, covering configuration settings, IIS, dependencies, and deployment steps.

This guide provides comprehensive best practices for creating optimized, secure, and efficient multi-stage Dockerfiles. Learn how to separate build environments (builder stage) from minimal runtime environments, significantly reducing image size and attack surface. Topics covered include layer caching optimization, security hardening (non-root users), and using minimal base images for reproducible builds.