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.
uber/kraken की मुख्य विशेषताएं हैं: Peer-to-Peer Mirrors, Distributed Blob Stores, Content-Addressable Retrievals, Container Image Registries, Image Distribution Networks, Image Replication, Cluster Image Distribution, P2P।
uber/kraken के ओपन-सोर्स विकल्पों में शामिल हैं: microsoftlearning/az-204-developingsolutionsformicrosoftazure — This project is a set of hands-on labs for practicing cloud development, focusing on implementing web apps, functions,… spegel-org/spegel — Spegel is a container registry cache and peer-to-peer distribution system for Kubernetes. It functions as an OCI image… cloudflare/serverless-registry — Serverless Registry is a container registry service implemented as a serverless application. It provides a platform… goharbor/harbor — Harbor is a self-hosted, enterprise-grade container registry platform designed to store, sign, and scan container… boto/boto3 — Boto3 is the AWS SDK for Python, providing a programmatic interface for managing and automating AWS cloud… distribution/distribution — Distribution is an open-source container image registry that implements the OCI Distribution Specification, enabling…
This project is a set of hands-on labs for practicing cloud development, focusing on implementing web apps, functions, storage solutions, and containerized workloads. It provides a practical framework for developing solutions within the Azure ecosystem. The content covers a wide range of specialized cloud capabilities, including serverless development with HTTP and timer triggers, container orchestration using apps and instances, and API management for routing and transforming traffic. It also emphasizes identity and access management through OpenID Connect and managed identities. Additional
Spegel is a container registry cache and peer-to-peer distribution system for Kubernetes. It functions as an OCI image mirror and content addressable store that shares image layers between cluster nodes to reduce external registry traffic and latency. The project implements a distributed hash table to locate image digests across the network, allowing nodes to retrieve content from peers rather than repeated external downloads. This architecture mitigates registry rate-limiting and provides offline image availability to prevent workload failures during registry outages. The system covers capa
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
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