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4,982 stars·891 forks·Go·Apache-2.0·23 viewskubeoperator.io↗

KubeOperator

KubeOperator is a comprehensive Kubernetes cluster management platform, infrastructure orchestrator, and multi-cluster manager. It functions as an enterprise Kubernetes distribution designed to automate the deployment, scaling, and lifecycle management of production clusters across diverse cloud platforms and physical machines.

The platform distinguishes itself with specialized capabilities for air-gapped environments, including an offline installation engine that generates software archives and manages private registries for secure, non-internet deployments. It also provides a centralized dashboard for fleet operations, allowing for the import of external clusters and the orchestration of infrastructure across different geographic regions and availability zones.

The system covers a broad operational surface, including automated virtual machine provisioning, hardware inventory tracking, and declarative lifecycle management for patching and scaling. It incorporates integrated backup and recovery services, role-based access control with LDAP synchronization, and comprehensive monitoring for cluster health and performance metrics.

Administrative tasks and cluster operations are executed through a web-based interface.

Features

  • Automated Cluster Provisioning - Automates the deployment of production Kubernetes clusters across diverse cloud platforms and physical machines.
  • Kubernetes Cluster Management - Provides a comprehensive platform for provisioning, configuring, and maintaining the full lifecycle of production Kubernetes clusters.
  • Cluster Management Interfaces - Provides a web-based dashboard for overseeing cluster operations and accessing the application store.
  • Cloud Infrastructure Integrations - Provides connectivity to infrastructure providers for the automated management of physical and virtual resources.
  • Cluster Lifecycle Management - Plans, scales, and patches production clusters to maintain security and resource efficiency throughout their lifecycle.
  • Cluster Lifecycle Managers - Implements a management layer to control cluster scaling, patching, and updates via declarative state reconciliation.
  • Failed Node Rebuilding - Rebuilds nodes that have experienced failures to ensure continuous cluster availability.
  • Multi-Platform Cluster Deployments - Automates the deployment and lifecycle of production clusters across diverse cloud platforms and physical machines.
  • High Availability Clustering - Ensures continuous uptime by distributing master nodes and automatically rebuilding failed nodes.
  • Control Plane Distribution - Distributes master nodes across multiple availability zones to prevent single-point-of-failure outages.
  • Host Infrastructure Inventories - Tracks physical and virtual server specifications and IP addresses to coordinate node placement across regions.
  • Cluster Component Addons - Installs and configures core cluster additives such as ingress controllers, Helm, and GPU toolkits.
  • Infrastructure as Code Toolkits - Automates the creation of virtual machines and network resources using configuration templates and task workflows.
  • Infrastructure Orchestrators - Provisions virtual machines and maps physical hardware topology to deploy Kubernetes nodes.
  • Infrastructure Topology Configurations - Organizes physical hardware into geographic regions, availability zones, and resource pools for logical cluster layout.
  • Kubernetes Cluster Deployments - Automates the end-to-end installation of Kubernetes clusters across different architectures, versions, and runtimes.
  • Cluster Access Control - Manages user access and permissions for cluster API servers using integrated LDAP authentication.
  • Kubernetes-Specific Distributions - Provides an enterprise-tailored Kubernetes distribution with integrated operations and management tools.
  • Multi-Cluster Dashboard Managers - Provides a centralized dashboard for overseeing and switching between multiple Kubernetes clusters across regions.
  • Infrastructure Orchestration - Orchestrates hardware resources, virtual machines, and network topologies across diverse cloud platforms and physical machines.
  • Air-Gapped Cluster Deployments - Includes an engine to produce software archives and local registries for provisioning clusters in air-gapped environments.
  • Cluster Network Orchestration - Configures container networking using CNI plugins and manages DNS resolution and routing modes.
  • Multi-Cluster Fleet Managers - Offers a centralized control plane for coordinating and managing multiple Kubernetes clusters at scale.
  • Multi-Zone Distribution - Distributes master and worker nodes across multiple availability zones to ensure high availability and fault tolerance.
  • Offline Package Generation - Produces compressed archives containing specific software versions for deployment in air-gapped environments.
  • Automated Node Rebuilds - Monitors node health and automatically triggers rebuild processes to restore failed instances.
  • Automated Node Recovery - Detects node failures and automatically rebuilds faulty nodes to ensure continuous service availability.
  • Inventory Tracking - Tracks physical server specifications, IP addresses, and hardware details to coordinate cluster node placement.
  • Project Access Controls - Implements a hierarchical permission model to restrict user access to specific projects and their associated cluster resources.
  • Cluster Resource Isolation - Groups clusters into projects to isolate resources and restrict management access to authorized users.
  • User Role Assignments - Assigns administrative and operational roles to users to control their level of authority within projects or clusters.
  • Backup and Restore - Performs scheduled backups of cluster state and restores data from snapshots or files.
  • Cluster Health Monitoring - Provides a web-based interface to monitor the real-time status and health metrics of distributed clusters.
  • Metric and Performance Monitors - Collects and visualizes high-frequency performance metrics and alerts across pods and nodes for full-stack visibility.
  • Software Update Managers - Tracks and applies security patches and component upgrades to maintain system compatibility and security.
  • Web-Based Server Administration Panels - Executes administrative tasks and command line operations through a centralized browser-based interface.
  • Machine Specifications - Provides declarative definitions of guest hardware and system configurations for virtual machine deployment.
  • Kubernetes Resource Backups - Performs scheduled backups of Kubernetes API objects and persistent volumes using cloud object storage.
  • Backup Storage Backends - Configures backup storage targets across cloud object storage and secure file transfer protocols.
  • Operational Tooling - Installs operational monitoring and logging software through a customizable configuration interface.
  • Automated Installation Scripts - Installs environments using automated scripts with support for online and air-gapped setups.
  • Compute Resource Tiers - Implements predefined size tiers for CPU and memory to standardize node resource allocations.
  • Package Repository Configurations - Defines repository addresses and protocols for different CPU architectures to manage software installation sources.
  • Offline Package Generators - Generates offline installation packages required for setting up Kubernetes in secure, non-internet environments.
  • Auto Scaling - Adds or removes worker nodes manually or automatically to adjust available compute resources.
  • External Cluster Imports - Connects externally created clusters to the management system using API server access and authentication tokens.
  • Resource-Driven Node Scaling - Adjusts cluster size on demand to optimize resource utilization based on current workload needs.
  • Node Distribution Plans - Specifies the distribution of master and worker nodes across availability zones and machine types.
  • External Cluster Integrations - Allows the import of existing external clusters into the management system using API server tokens.
  • Geographic Infrastructure Mapping - Organizes infrastructure into regions and zones by mapping them to data centers and resource pools.
  • Infrastructure Requirements - Defines the compute, storage, and network dependencies required to host clusters across various hardware architectures.
  • Infrastructure State Synchronization - Continuously aligns the management plane state with the actual status of remote servers.
  • Security Scanning - Analyzes cluster configurations and environmental state to identify security vulnerabilities and compliance risks.
  • Version Upgrades - Updates the distribution to newer release versions using local installation packages.
  • Storage Backend Integrations - Integrates storage backends like NFS and Ceph to provide persistent volumes for applications.
  • Component Version Upgrades - Upgrades and patches software versions to maintain security and synchronization with community releases.
  • Automated Provisioning Tools - Automates the creation and configuration of virtual machine instances for cluster infrastructure.
  • IP Address Management Systems - Provides a centralized system for tracking, allocating, and managing IP address pools and ranges.
  • Host Credential Storages - Securely stores passwords and private keys required to establish connections to target cluster hosts.
  • Hierarchical Access Controls - Restricts infrastructure visibility and administrative permissions by grouping clusters into projects with inherited user roles.
  • LDAP Authentication - Synchronizes user identities from LDAP or Active Directory servers to manage platform access.
  • Host Resource Access Controls - Implements a centralized system to authorize and assign specific host resources to projects or clusters.
  • Audit Logs - Records user actions and metadata in audit logs with fuzzy search capabilities for security and operational review.
  • Hardware Inventory Trackers - Tracks server hardware specifications and operating systems for nodes designated for deployment.
  • Cluster Diagnostics - Offers workflows to test connectivity and API readiness to diagnose and fix cluster-wide health issues.
  • Execution Progress Tracking - Provides real-time installation status and live logs to track the progress of cluster deployment tasks.
  • Node Availability Control - Controls node availability by evicting pods and reactivating nodes to enable scheduling.
  • System Event Monitors - Tracks system-level lifecycle events within namespaces and integrates them with cluster health monitoring.
  • User Account Administration - Provides tools for creating, modifying, and deleting user profiles and managing account lifecycle transitions.
  • Kubernetes Operators - Lightweight Kubernetes distribution and management.

    • Star history

    Star history chart for kubeoperator/kubeoperatorStar history chart for kubeoperator/kubeoperator

    How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

    Frequently asked questions

    What does kubeoperator/kubeoperator do?

    KubeOperator is a comprehensive Kubernetes cluster management platform, infrastructure orchestrator, and multi-cluster manager. It functions as an enterprise Kubernetes distribution designed to automate the deployment, scaling, and lifecycle management of production clusters across diverse cloud platforms and physical machines.

    What are the main features of kubeoperator/kubeoperator?

    The main features of kubeoperator/kubeoperator are: Automated Cluster Provisioning, Kubernetes Cluster Management, Cluster Management Interfaces, Cloud Infrastructure Integrations, Cluster Lifecycle Management, Cluster Lifecycle Managers, Failed Node Rebuilding, Multi-Platform Cluster Deployments.

    Which projects share features with kubeoperator/kubeoperator?

    Projects with overlapping indexed features include: hazelcast/hazelcast — Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to… opsnull/follow-me-install-kubernetes-cluster — This project provides a comprehensive guide and set of scripts for deploying and configuring a production-ready… zq2599/blog_demos — This project is a collection of reference implementations and demonstration projects covering computer vision, DevOps… kubernetes/kops — kops is a Kubernetes cluster provisioner and lifecycle manager designed to automate the creation, maintenance, and… feiskyer/kubernetes-handbook — This project is a comprehensive educational resource and operational handbook for Kubernetes. It serves as a technical… vonng/pigsty — Pigsty is a comprehensive database infrastructure orchestration platform designed to automate the full lifecycle of…

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