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21 Repos

Awesome GitHub RepositoriesContainer Image Layering

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.

Awesome Container Image Layering GitHub Repositories

Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
  • yeasy/docker_practiceAvatar von yeasy

    yeasy/docker_practice

    26,111Auf GitHub ansehen↗

    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.

    Gobookcloud-computingcontainer
    Auf GitHub ansehen↗26,111
  • syl20bnr/spacemacsAvatar von syl20bnr

    syl20bnr/spacemacs

    24,560Auf GitHub ansehen↗

    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.

    Emacs Lispcommunity-drivenconfigurationemacs
    Auf GitHub ansehen↗24,560
  • googlecloudplatform/distrolessAvatar von GoogleCloudPlatform

    GoogleCloudPlatform/distroless

    22,774Auf GitHub ansehen↗

    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.

    Starlark
    Auf GitHub ansehen↗22,774
  • mitchellh/packerAvatar von mitchellh

    mitchellh/packer

    15,717Auf GitHub ansehen↗

    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.

    Go
    Auf GitHub ansehen↗15,717
  • distribution/distributionAvatar von distribution

    distribution/distribution

    10,479Auf GitHub ansehen↗

    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.

    Gocncfcontainersdistribution
    Auf GitHub ansehen↗10,479
  • containerd/nerdctlAvatar von containerd

    containerd/nerdctl

    10,172Auf GitHub ansehen↗

    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.

    Gocontainerd
    Auf GitHub ansehen↗10,172
  • collabnix/dockerlabsAvatar von collabnix

    collabnix/dockerlabs

    8,008Auf GitHub ansehen↗

    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.

    PHPadvancebeginnersdocker
    Auf GitHub ansehen↗8,008
  • python-visualization/foliumAvatar von python-visualization

    python-visualization/folium

    7,372Auf GitHub ansehen↗

    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.

    Pythondata-sciencedata-visualizationjavascript
    Auf GitHub ansehen↗7,372
  • uber/krakenAvatar von uber

    uber/kraken

    6,698Auf GitHub ansehen↗

    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.

    Go
    Auf GitHub ansehen↗6,698
  • docker/docker-ceAvatar von docker

    docker/docker-ce

    5,755Auf GitHub ansehen↗

    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.

    Go
    Auf GitHub ansehen↗5,755
  • cri-o/cri-oAvatar von cri-o

    cri-o/cri-o

    5,629Auf GitHub ansehen↗

    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.

    Go
    Auf GitHub ansehen↗5,629
  • javastacks/spring-boot-best-practiceAvatar von javastacks

    javastacks/spring-boot-best-practice

    5,076Auf GitHub ansehen↗

    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.

    Javajavaspringspringboot
    Auf GitHub ansehen↗5,076
  • microsoft/vscode-dev-containersAvatar von microsoft

    microsoft/vscode-dev-containers

    4,747Auf GitHub ansehen↗

    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.

    Shellcodespacescontainersdev-containers
    Auf GitHub ansehen↗4,747
  • opencontainers/image-specAvatar von opencontainers

    opencontainers/image-spec

    4,336Auf GitHub ansehen↗

    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.

    Gocontainersdockeroci
    Auf GitHub ansehen↗4,336
  • tiangolo/uvicorn-gunicorn-fastapi-dockerAvatar von tiangolo

    tiangolo/uvicorn-gunicorn-fastapi-docker

    2,909Auf GitHub ansehen↗

    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.

    Pythonasgiasyncdocker
    Auf GitHub ansehen↗2,909
  • termux/proot-distroAvatar von termux

    termux/proot-distro

    2,839Auf GitHub ansehen↗

    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.

    Shell
    Auf GitHub ansehen↗2,839
  • docker-library/pythonAvatar von docker-library

    docker-library/python

    2,739Auf GitHub ansehen↗

    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.

    Dockerfile
    Auf GitHub ansehen↗2,739
  • lukemathwalker/cargo-chefAvatar von LukeMathWalker

    LukeMathWalker/cargo-chef

    2,503Auf GitHub ansehen↗

    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.

    Rustcargocidocker
    Auf GitHub ansehen↗2,503
  • devcontainers/cliAvatar von devcontainers

    devcontainers/cli

    2,482Auf GitHub ansehen↗

    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.

    TypeScriptcontainersdevcontainers
    Auf GitHub ansehen↗2,482
  • cloudflare/serverless-registryAvatar von cloudflare

    cloudflare/serverless-registry

    1,405Auf GitHub ansehen↗

    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.

    TypeScriptartifactscloudflarecontainer
    Auf GitHub ansehen↗1,405
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Unter-Tags erkunden

  • Debug Image LayeringA strategy of providing a stripped production image paired with a shell-enabled debug image for internal inspection. **Distinct from Container Image Layering:** Distinct from general Container Image Layering; specifically covers the dual-mode production/debug split.
  • Efficient Image Layer ExtractionsReduces memory usage during container image layer extraction by optimizing resource allocation. **Distinct from Container Image Layering:** Distinct from Container Image Layering: focuses on memory-efficient extraction of layers, not on layer organization strategies.
  • Feature Injection LayersModular script-based layers used to inject specific software tools into container images during build time. **Distinct from Container Image Layering:** Focuses on the functional injection of software tools via scripts, rather than just filesystem organization of layers
  • Feature Layer Organization1 Sub-TagLogical grouping of related packages into layers to organize language-specific features. **Distinct from Feature Injection Layers:** Organizes editor feature sets into layers rather than injecting tools into container images.
  • Image Layer Extraction Memory ReductionsReduces memory consumption during container image layer extraction for more efficient resource use. **Distinct from Container Image Layering:** Distinct from Container Image Layering: focuses on reducing memory consumption during extraction, not on layer organization.
  • Image ManifestsStructured metadata files that define the filesystem layers and configurations required to instantiate a container. **Distinct from Container Image Layering:** Focuses on the metadata manifest file itself rather than the general strategy of layering filesystem blocks.
  • Image SynthesisThe process of creating read-only filesystem layers from a sequence of build instructions. **Distinct from Container Image Layering:** Focuses on the act of building the image from instructions rather than the strategy of layering for efficiency.
  • Layer ChunkingThe process of breaking container image layers into smaller, verifiable pieces for optimized transmission. **Distinct from Container Image Layering:** Focuses on the fragmentation of layers into chunks for distribution, rather than the general organization of filesystem layers.
  • Layer Reuse CountersCounts how many image layers are reused during pull operations and exposes the count as a metric. **Distinct from Container Image Layering:** Distinct from Container Image Layering: tracks reuse statistics as metrics, not layering strategies.
  • Manifest ResolutionLogic for traversing indices and manifests to locate specific configurations and data layers. **Distinct from Image Manifests:** Focuses on the process of resolving references to locate layers, whereas image manifests are the files themselves.
  • On-Demand Layer LoadingPulling container image layers only when a container starts to reduce initial download time and storage use. **Distinct from Container Image Layering:** Distinct from Container Image Layering: focuses on the on-demand loading mechanism rather than general layer organization strategies.