This project is a Docker educational resource and a collection of practical examples designed for learning containerization technologies. It serves as a guide for understanding container fundamentals, including the creation and management of custom images and the use of registries. The repository provides specialized references for container security hardening, such as managing kernel privileges and implementing supply chain security. It also includes tutorials for multi-container orchestration and a DevOps guide focused on CI/CD automation and image optimization. The material covers a broad
Slim is a comprehensive suite for container lifecycle management, providing tools for image inspection, optimization, security hardening, and service troubleshooting. It functions as a platform for analyzing containerized applications through both static metadata review and dynamic behavioral probing, enabling users to understand image composition and runtime dependencies. The project distinguishes itself by automating the creation of minimal, production-ready container images. It achieves this by removing unnecessary files and components, flattening image layers, and synthesizing restrictive
Vector is a high-performance observability data pipeline designed to collect, transform, and route logs, metrics, and traces across distributed infrastructure. It functions as a modular engine that decouples data ingestion from processing and transmission, utilizing a component-based architecture to connect diverse sources to multiple destinations. The project distinguishes itself through a focus on reliability and flow control. It implements backpressure-aware data movement to prevent data loss during traffic spikes and utilizes disk-backed event buffering to ensure durability during network
Distroless provides a collection of security-hardened, minimal base container images designed to reduce attack surfaces by excluding non-essential system utilities, package managers, and shells. These images are constructed to contain only an application and its specific runtime dependencies, enforcing the principle of least privilege by configuring environments for non-root execution. The project distinguishes itself through a focus on supply chain integrity and reproducible builds. It utilizes declarative build configurations to track package versions and validates container image integrity
This project provides a collection of official base images for building and running .NET applications across various operating systems and hardware architectures. It includes standardized runtime environments, containerized development kits, and specialized images designed for isolated application execution.
Die Hauptfunktionen von dotnet/dotnet-docker sind: NET Container Deployments, Containerized Runtime Collections, Containerized SDK Environments, Native AOT Compilation, Container Base Images, Distroless Base Images, Multi-Architecture Images, Image Generation.
Open-Source-Alternativen zu dotnet/dotnet-docker sind unter anderem: yeasy/docker_practice — This project is a Docker educational resource and a collection of practical examples designed for learning… slimtoolkit/slim — Slim is a comprehensive suite for container lifecycle management, providing tools for image inspection, optimization,… vectordotdev/vector — Vector is a high-performance observability data pipeline designed to collect, transform, and route logs, metrics, and… googlecontainertools/distroless — Distroless provides a collection of security-hardened, minimal base container images designed to reduce attack… docker-archive-public/docker.labs — This project is a comprehensive collection of tutorials and guided laboratories designed to teach containerization,… ben1234560/k8s_paas — This project provides a comprehensive architectural blueprint and implementation set for building a…