3 个仓库
Running a complete cluster as a single, self-contained unit without external orchestration.
Distinct from Standalone or Cluster Deployments: Existing candidates focused on database-specific standalone modes or general PaaS.
Explore 3 awesome GitHub repositories matching devops & infrastructure · Standalone Cluster Deployments. Refine with filters or upvote what's useful.
vcluster is a Kubernetes virtual cluster platform that creates fully isolated Kubernetes environments with dedicated control planes, API servers, and RBAC on shared physical infrastructure. It virtualizes Kubernetes control planes by running them as pods inside a host cluster, as standalone binaries on bare metal or virtual machines, or within Docker containers, providing each tenant their own isolated Kubernetes environment without the overhead of managing separate physical clusters. The platform enables multi-tenant Kubernetes isolation through multiple tenancy models, from shared node pool
Provides standalone virtual control plane deployment on bare metal or VMs for maximum isolation.
LXD is a unified platform for managing both system containers and virtual machines through a single REST API and command-line interface. It provides a programmatic HTTP interface for controlling the full lifecycle of instances, enabling automation and integration with external tools. The system runs unprivileged containers with per-instance UID/GID mappings, seccomp filters, and AppArmor profiles for kernel-level isolation, while supporting multiple storage backends including directory, Btrfs, LVM, ZFS, Ceph, LINSTOR, and TrueNAS through a unified driver interface. The platform distinguishes
Enables clustering on an existing standalone server with instances, preparing it to become the first cluster member.
该项目是一个容器化机器学习工作流引擎和编排器,旨在自动化 Kubernetes 集群上机器学习模型的端到端生命周期。它作为一个 MLOps 管道编译器,将领域特定语言转换为用于便携式和可扩展部署的结构化规范。 该平台提供了一个具有隔离命名空间和身份提供商认证的多租户环境。它通过结合基于容器的任务隔离、用于数据传递的强类型工件管理以及用于避免冗余计算的内容寻址结果缓存而脱颖而出。 该系统涵盖了全面的工作流编排,包括并行任务执行、循环运行调度和条件分支逻辑。它进一步支持实验跟踪、工作流指标收集以及可重用管道组件的管理,并能够为 CPU、内存和 GPU 配置特定的硬件资源请求。 该软件通过 Python SDK 分发,可部署在独立、本地或多租户环境中。
Offers a simplified, single-user installation for development purposes without the need for authentication.