21 Repos
Strategies for organizing filesystem layers within container images to ensure consistency and efficiency.
Distinct from Container Architectures: None of the candidates cover the concept of Docker filesystem layering; they focus on hardware architectures or code design patterns.
Explore 21 awesome GitHub repositories matching devops & infrastructure · Container Image Layering. Refine with filters or upvote what's useful.
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
Applies strategies for organizing and merging filesystem layers to ensure image efficiency.
Spacemacs is a community-driven configuration for Emacs that integrates modal text editing and a modular system for managing editor features. It implements distinct states for navigation and insertion to separate text manipulation from text entry, combining the efficiency of modal navigation with the extensibility of the Emacs environment. The project distinguishes itself through a layer-based feature composition system, which groups related third-party packages and configurations into modular units. This system includes dependency-based resolution to manage conflicting extensions and a mnemo
Groups related packages into modular layers to simplify the organization of language-specific features.
Distroless provides a set of OCI-compliant minimal base images and hardening tools designed to create secure, language-specific execution environments. These images are stripped of non-essential system binaries, shells, and package managers to reduce the container attack surface. The project utilizes upstream-tracked automated patching to monitor operating system releases and generate updated images when security vulnerabilities are addressed. It ensures supply chain integrity through image provenance verification using ephemeral-key digital signatures. The system supports the generation of
Employs a dual-mode layering approach that allows for internal inspection via separate shell-enabled debug images.
Packer is a machine image build tool and multi-platform image orchestrator. It functions as an infrastructure as code image builder that produces identical machine images across multiple platforms from a single source configuration to ensure environment consistency. The tool enables the creation of a golden image pipeline by generating compatible system images for different cloud providers and on-premises hypervisors. It includes an image lifecycle registry to store metadata for tracking the versioning and status of generated images. The system manages the automation of machine image creatio
Provides a mechanism for creating machine images based on a sequenced set of build instructions.
Distribution is an open-source container image registry that implements the OCI Distribution Specification, enabling any OCI-compatible client to push, pull, and manage container images over standard protocols. It serves as a content distribution toolkit for packaging, shipping, storing, and delivering container content across networked environments, storing and retrieving content by its cryptographic hash for integrity and deduplication. The registry separates image metadata from bulk data to enable efficient validation and partial pulls, and supports resumable blob uploads with chunked tran
Organizes container images as a stack of immutable layers identified by digests for efficient caching.
nerdctl is a command-line tool that manages containers and images using containerd as the runtime, providing a Docker-compatible interface for container lifecycle management. It supports running containers with the same command syntax and flags as Docker, including multi-container Compose workflows, and enables rootless container execution without host kernel escalation. The tool extends beyond basic container management with several advanced distribution and security capabilities. It can start containers before full image download by fetching only metadata and on-demand layers from eStargz-f
Pulls image layers only when a container starts, reducing initial download time and storage use.
dockerlabs is a collection of educational labs and technical tutorials designed to teach the fundamentals of containerization and microservice architecture. It provides instructional material and hands-on exercises covering image optimization, security training, infrastructure setup, and cluster orchestration. The project features specific courses and guides focused on reducing image size through multi-stage builds, securing workloads via vulnerability scanning and encrypted networks, and deploying multi-node clusters with high availability using Swarm orchestration. The materials cover a br
Explains the construction of portable container images using sequential read-only filesystem layers.
Folium is a Python library that builds interactive Leaflet.js maps directly from Python data structures, enabling geographic data visualization in Jupyter notebooks or as standalone HTML pages. It creates maps centered on given coordinates with configurable zoom, tiles, and dimensions, and supports embedding those maps inside web routes for serving in browsers. The library provides a comprehensive set of tools for data-driven map creation, including choropleth maps that bind tabular data to geographic geometries, colormap application to markers and polygons, and GeoJSON data overlay and visua
Groups related map layers into collapsible subgroups for toggling visibility via a layer control.
Kraken is a distributed blob store and peer-to-peer Docker registry designed for the high-throughput distribution of container images. It functions as a decentralized content delivery network that shares image layers across a network of nodes to prevent bottlenecks at a central registry. The system utilizes peer-to-peer blob distribution and distributed content addressing to maintain download speeds across large clusters. It implements asynchronous rule-based replication to synchronize image data between disparate geographical clusters. The project covers pluggable external blob storage inte
Breaks large container images into smaller verifiable pieces for more efficient distribution and partial transmission.
Docker CE ist eine OCI-konforme Container-Plattform und Laufzeit-Engine, die zum Erstellen und Ausführen von Anwendungen innerhalb isolierter Umgebungen verwendet wird. Sie fungiert als Linux-Container-Orchestrator und bietet eine Kommandozeilenschnittstelle zur Verwaltung des gesamten Lebenszyklus laufender Anwendungsinstanzen. Die Plattform ermöglicht das Deployment containerisierter Anwendungen und die plattformübergreifende Softwareverteilung durch das Verpacken von Software mit ihren Abhängigkeiten. Sie unterstützt das Management von Microservices-Architekturen und die Erstellung reproduzierbarer lokaler Entwicklungsumgebungen. Das System umfasst Funktionen für die Orchestrierung des Anwendungslebenszyklus, die es Benutzern ermöglichen, Container zu starten, zu stoppen und zu untersuchen. Zudem bietet es Tools zur Verwaltung isolierter Container, um ein konsistentes Verhalten über verschiedene Recheninfrastrukturen hinweg sicherzustellen.
Uses structured manifests to define the exact filesystem layers and configuration needed to instantiate containers.
CRI-O is an open-source container runtime that implements the Kubernetes Container Runtime Interface (CRI) to manage container images, pods, and containers on cluster nodes using OCI-compatible runtimes. It serves as a node-level container manager that handles image pulling, container lifecycle, and resource monitoring for Kubernetes clusters, running containers according to the Open Container Initiative specifications. The runtime distinguishes itself through live configuration reloading that applies changes to runtime definitions, registry mirrors, and TLS certificates without restarting th
Optimizes memory usage during container image layer extraction for more efficient resource use.
Dieses Projekt dient als umfassende Referenzarchitektur und Leitfaden für Best Practices bei der Entwicklung skalierbarer Anwendungen mit dem Spring Boot Framework. Es bietet einen strukturellen Bauplan für die Java-Backend-Entwicklung mit Fokus auf die Implementierung entkoppelter APIs und die Etablierung architektonischer Standards. Das Projekt beschreibt spezifisch die Erstellung benutzerdefinierter Starter und Auto-Konfigurationsmodule, um die Integration von Drittanbieter-Bibliotheken zu vereinfachen. Es bietet zudem einen Deployment-Bauplan für das Packaging von Anwendungen als ausführbare JARs und die Optimierung von Layered Builds für containerisierte Cloud-Umgebungen. Das Funktionsspektrum umfasst Performance-Tuning durch Memory-Caching und asynchrone Verarbeitung sowie die Synchronisation verteilter Systeme mittels verteilter Locks und Message-Brokern. Weitere Themen sind die Verwaltung der Datenpersistenz, Datenbankmigrationen, automatisierte Aufgabenplanung und die Implementierung aspektorientierter Programmierung für querschnittliche Belange.
Optimizes cloud deployment by organizing application files into separate container image layers for efficient builds.
Dieses Projekt ist ein containerbasierter Workspace-Orchestrator und ein Standard für die Definition von Entwicklungsumgebungen mittels Docker. Es bietet einen Mechanismus zur Automatisierung des Builds, Starts und der Verwaltung isolierter Toolchains und stellt sicher, dass Software-Abhängigkeiten und Runtimes vom lokalen Host-System getrennt sind. Das System ermöglicht die Verteilung von Umgebungsdefinitionen, Editoreinstellungen und Toolchain-Konfigurationen über die Versionsverwaltung. Dies gewährleistet Portabilität und Standardisierung über Teams hinweg und ermöglicht es Mitwirkenden, identische Workspaces auf verschiedenen Maschinen zu instanziieren. Es unterstützt zudem die Remote-Container-Entwicklung durch die Verbindung eines lokalen Editors mit Docker-Engines, die auf Remote-Servern gehostet werden. Das Toolset deckt die Workspace-Bereitstellung durch benutzerdefinierte Dockerfiles und Konfigurationsdateien ab, zusammen mit dem Lebenszyklusmanagement für das Starten, Stoppen und Anhängen an Container. Es umfasst Funktionen zum Mounten lokaler Ordner in isolierte Volumes, zum Weiterleiten von Netzwerk-Ports an den Host und zum Ausführen von Editor-Erweiterungen direkt innerhalb der containerisierten Umgebung. Das Tool bietet CLI-Dienstprogramme zum Erstellen von Container-Images, zum Orchestrieren des Umgebungsstarts und zum Ausführen von Remote-Befehlen.
Integrates self-contained installation units into the container build process to add specific runtimes or libraries.
The OCI Container Image Specification is a standardized format for container images that ensures interoperability between different build tools and runtimes. It serves as a distribution standard for structuring image blobs and manifests, providing a consistent way to transfer data between registries and clients. The specification employs a content-addressable storage standard that identifies image layers and manifests using cryptographic digests to ensure data integrity. It includes a JSON-based configuration schema for defining execution metadata, such as entrypoints and environment variable
Standardizes the structure of container images using filesystem layering to ensure cross-tool interoperability.
This project is a production-ready Docker deployment template for FastAPI applications. It provides a standardized Python web application container that integrates Uvicorn as the ASGI server and Gunicorn as the process manager to handle concurrent requests across multiple CPU cores. The configuration enables performance tuning by adjusting worker processes and server settings based on available CPU resources. It utilizes a multi-stage Docker build to separate build dependencies from the final runtime image. The system covers containerized web hosting, including support for environment-variab
Provides a layered container architecture to ensure consistent application behavior across different hosting environments.
proot-distro is a rootless container runtime and Linux distribution manager that allows users to install and run isolated guest environments without requiring administrative root privileges. It utilizes PRoot to simulate root access and filesystem redirection, enabling the deployment of full Linux distributions in a non-root space. The project functions as an OCI container image handler, capable of building, pulling, and pushing OCI-compatible images and manifests. It further serves as a cross-architecture execution layer, utilizing user-mode emulation to run binaries and containers built for
Implements a layered filesystem architecture for constructing guest environments following OCI specifications.
This project provides a standardized Python Docker image, serving as a Linux-based runtime environment for executing Python applications. It is an OCI-compliant container designed to ensure consistent software execution across different platforms. The images support containerized application deployment, enabling environment parity between local development and remote servers. This foundation allows for the creation of standardized build pipelines and the development of microservices architectures. The build process incorporates multi-stage builds and layered image hierarchies to manage image
Organizes the system into distinct filesystem layers to optimize caching and sharing of base OS components.
cargo-chef is a Rust build cache tool and CI pipeline accelerator designed to reduce compilation times by decoupling library compilation from application source code. It functions as a dependency recipe generator that extracts a project's dependency list into a recipe for pre-compilation without requiring the full source tree. The project optimizes Docker image builds by structuring container layers to store pre-computed build artifacts. This prevents full recompilation of dependencies when only application source code changes, ensuring that dependency updates only trigger necessary rebuilds.
Structures container images to store pre-computed build artifacts, ensuring dependency updates only trigger necessary rebuilds.
This is a command line tool for building and managing isolated development environments based on the Development Container Specification. It functions as an OCI container image builder and a provisioner for instantiating standardized containers within automated continuous integration workflows. The tool includes a system for injecting pre-configured software and toolsets into containers using a registry of reusable installation modules. This allows for the creation of shareable features and the installation of specific languages, CLI tools, and software dependencies. It covers the automation
Implements a system for injecting pre-configured software and toolsets into containers using reusable installation modules.
Serverless Registry is a container registry service implemented as a serverless application. It provides a platform for hosting and managing container images by leveraging distributed object storage and edge computing to handle image layers and metadata. The project distinguishes itself by utilizing edge-side request proxying and lazy pull-through caching to manage external image dependencies. By fetching and persisting remote images on demand, it improves availability and access speeds for container runtimes. The system also employs chunked stream processing to manage large image layers, ens
Implements layer chunking to manage large container image layers and ensure reliable data transfer.