Awesome GitHub RepositoriesContainer Security

Harbor is a self-hosted, enterprise-grade container registry platform designed to store, sign, and scan container images and cloud-native artifacts. It provides a centralized repository that integrates directly with Kubernetes environments to manage the full lifecycle of software artifacts, from initial storage to production deployment. The platform distinguishes itself through a focus on security, governance, and multi-site availability. It features a pluggable vulnerability scanning framework that allows for the integration of various security engines, alongside content trust mechanisms tha

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

This project provides a framework for managing multi-agent systems, designed to automate complex software development, infrastructure, and business workflows. It functions as a multi-agent workflow orchestrator that routes tasks to domain-specific workers while maintaining state persistence and infrastructure automation. By leveraging large language models, the system decomposes high-level objectives into actionable plans, ensuring that complex operations are executed with consistency and reliability. The framework distinguishes itself through its hierarchical agent registry and policy-driven

Grype is a command-line security scanner designed to identify known vulnerabilities within container images, filesystems, and software manifests. It functions as a software composition analysis tool that detects security flaws in application components and open-source libraries to support supply chain security. The tool distinguishes itself by reconstructing the final state of container images through layered filesystem inspection and normalizing diverse package formats into a unified dependency graph. It maintains a local cache of security advisories synchronized from multiple upstream sourc

This project is a comprehensive collection of tutorials and guided laboratories designed to teach containerization, networking, and security using Docker. It serves as a learning path for building portable images and executing isolated processes. The materials provide specific guides for managing container clusters and scaling services through Docker Swarm and overlay networks. It includes a security handbook for implementing image scanning and secret management, as well as laboratories dedicated to modernizing legacy applications by wrapping older software installers into containers. The co

Clair is a container image vulnerability scanner and security analyzer. It performs static analysis of container images by matching package contents against vulnerability databases to identify security risks across different package formats and architectures. The project functions as both an image indexer and a vulnerability database manager. It processes container layers into intermediate representations to enable fast security lookups and synchronizes security metadata from multiple external sources to maintain a local registry. Capability areas include continuous security monitoring, whic

Kompose is a suite of conversion utilities designed to translate container composition files into cloud-native cluster resource definitions. It serves as a migration tool that transforms local development specifications into production-ready manifests for Kubernetes and OpenShift. The tool functions as a translation engine that maps container specifications, network settings, and workload definitions into cluster resources. It supports target-specific manifest generation through dedicated providers, allowing for the creation of resources tailored to different environment distributions. The p

Security-101 is a vendor-agnostic, foundational cybersecurity learning curriculum organized into modular, framework-aligned modules. It is designed to build core knowledge across multiple security domains without tying content to specific products or platforms, making it suitable for both beginners and professionals seeking a structured introduction to the field. The curriculum is built around established security frameworks, including the MITRE ATT&CK framework for standardized threat analysis and the NIST Cybersecurity Framework for incident response workflows. It covers a broad range of do

Ce projet est un moteur de workflow d'apprentissage automatique conteneurisé et un orchestrateur conçu pour automatiser le cycle de vie complet des modèles d'apprentissage automatique sur des clusters Kubernetes. Il fonctionne comme un compilateur de pipeline MLOps qui transforme un langage spécifique au domaine en spécifications structurées pour un déploiement portable et évolutif. La plateforme fournit un environnement multi-tenant avec des espaces de noms isolés et une authentification par fournisseur d'identité. Elle se distingue par une combinaison d'isolation des tâches basée sur des conteneurs, une gestion des artefacts fortement typée pour le passage de données et une mise en cache des résultats adressable par contenu pour éviter les calculs redondants. Le système couvre l'orchestration complète des workflows, incluant l'exécution parallèle des tâches, la planification récurrente des exécutions et la logique de branchement conditionnel. Il prend en outre en charge le suivi des expériences, la collecte des métriques de workflow et la gestion des composants de pipeline réutilisables, avec la possibilité de configurer des demandes de ressources matérielles spécifiques pour le CPU, la mémoire et le GPU. Le logiciel est distribué via un SDK Python et peut être déployé dans des environnements autonomes, locaux ou multi-tenant.