Cloudpods
An open-source cloud-native unified-cloud platform. 开源云原生融合云平台
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What is Cloudpods?
Cloudpods is a cloud-native open-source unified multi-cloud and hybrid-cloud platform developed in Golang, described as
Cloudpods pricing
Pricing model: Freemium
Cloudpods is open source and free under Apache License 2.0 with zero threshold for installation. The open source version includes all core multi-cloud management features, private cloud, bare metal management, K8s management, monitoring, multi-tenant IAM, multi-cloud SSO, climc CLI, and API/SDK. Commercial enterprise products based on the open source version include: Enterprise-level Hybrid Cloud, Enterprise-level Cloud Native Private Cloud, Cloud Native Multi-cloud Management Platform, and Public Cloud Billing Management and Optimization (FinOps). Specific pricing for commercial plans is not publicly listed and requires contacting the vendor.
Cloudpods pros
- Completely open source under Apache License 2.0 with source code on GitHub
- Unifies management of 10+ public cloud providers including AWS, Azure, GCP, Alibaba
- Supports private clouds like OpenStack, ZStack, VMware vSphere in one platform
- Built-in lightweight private cloud for KVM virtual machines
- Full lifecycle bare metal management with IPMI and Redfish API support
- Cloud-native architecture written entirely in Golang for superior performance
- Runs on Kubernetes with Operator-based management and maintenance
- Unified REST API and SDK for programmatic multi-cloud access
- Multi-tenant IAM with complete RBAC and access control system
- Multi-cloud SSO allows single federated identity to access all cloud consoles
- AI Cloud module for LLM inference with GPU scheduling and model management
- Supports AI applications like Ollama, Dify, OpenClaw, ComfyUI
- Command-line tool climc for efficient Cloudpods management
- Comprehensive monitoring and operations and maintenance capabilities
- HTTPS encryption for all component communication preventing man-in-the-middle attacks
- Multi-factor authentication (MFA) support for login security
- Auto GPU device detection and NVIDIA/CUDA environment configuration
- Model library for unified model source/version/cache management
- Supports object storage (Minio, Ceph, XSky) and NAS (Ceph)
- Hundreds of enterprise customers have verified maturity and stability
Cloudpods cons
- Documentation primarily in Chinese with limited English coverage
- No official cloud-hosted SaaS version requires self-hosting
- Steep learning curve for multi-cloud architecture complexity
- UI interface less polished compared to commercial cloud management platforms
- Limited community support compared to larger open-source projects
- GPU scheduling requires manual NVIDIA/CUDA environment configuration
- No built-in cost optimization or FinOps in open source version
- Enterprise features require purchasing commercial Hybrid Cloud or Cloud Native plans
Frequently asked questions about Cloudpods
What is Cloudpods?
Cloudpods is a cloud-native open-source unified multi-cloud and hybrid-cloud platform developed in Golang. It is described as 'a cloud on clouds' because it can manage not only on-premise KVM virtual machines and bare metal servers but also resources from many cloud accounts across multiple cloud providers. It hides the differences of underlying cloud providers and exposes one set of unified APIs for programmatic interaction with many clouds.
Which cloud providers does Cloudpods support?
Cloudpods supports public clouds including AWS, Azure, Google Cloud Platform, Alibaba Cloud, Huawei Cloud, Tencent Cloud, UCloud, Ctyun (China Telecom), ECloud (China Mobile), and JDCloud. For private clouds it supports OpenStack, ZStack, Alibaba Cloud Apsara, Huawei HCSO, and Nutanix. On-premise resources include KVM-based private cloud, VMware vSphere vCenter/ESXi, baremetals via IPMI/Redfish API, and object storages like Minio, Ceph, XSky, plus NAS from Ceph.
Is Cloudpods free to use?
Yes, Cloudpods is completely open source under Apache License 2.0 with zero threshold for online access and installation. The core code is fully hosted on GitHub with fast iteration speed. The open source version includes all core multi-cloud management features. Enterprise-level commercial products are available based on the open source version for organizations needing additional enterprise support.
What is Cloudpods AI Cloud?
Cloudpods AI Cloud is a unified management platform for large language model (LLM) inference and AI container applications. It helps enterprises deploy, schedule, and operate AI workloads on a single platform integrated with Cloudpods private cloud/multi-cloud resources. Core capabilities include AI inference services with GPU scheduling, AI application management for LLM orchestration and agent assistants, model library for unified model management, templates and images for standardized delivery, and automatic GPU device detection with NVIDIA/CUDA configuration. Supported applications include Ollama for LLM inference, Dify for LLM app development, OpenClaw for agent assistants, and ComfyUI for image generation.
How does Cloudpods handle multi-cloud SSO?
Multi-cloud SSO allows users to access native consoles of various cloud platforms with a unified federated identity. This is part of Cloudpods' complete multi-tenant authentication and access control system, enabling single sign-on across all managed cloud providers from one portal.
What security features does Cloudpods include?
Cloudpods implements system-level network security with HTTPS encryption for all component communication to prevent man-in-the-middle and replay attacks. Each service uses independent service accounts and database access accounts. REST API calls require keystone authentication authorization. Network security policies use Calico in private deployments and VPC security groups in public cloud to limit unnecessary port exposure. Account security includes mandatory password complexity, regular password expiration, historical password verification, multi-factor authentication (MFA), single valid login session restriction, and account lockout after multiple failed login attempts.
Can Cloudpods manage Kubernetes clusters?
Yes, Cloudpods supports k8s container cluster management and multi-cloud K8S for deploying and managing Kubernetes clusters in a multi-cloud environment. The platform runs on Kubernetes itself using Kubernetes Operator for management and maintenance, and can manage containerd container resources in its private cloud mode.
What is the climc command-line tool?
climc is Cloudpods' command-line tool for efficient management of the platform. It is used to debug the environment through commands on the Cloudpods platform and provides an alternative to the web console for managing cloud resources and functions.
Who should use Cloudpods?
Cloudpods is for those who need simple solutions to virtualize physical servers into private cloud, need compact fully automatic bare metal lifecycle management, want to turn VMware vSphere clusters into private cloud, need cohesive view of public and private cloud in hybrid setups, need a central portal to access multiple accounts from multiple public clouds, or are currently using single cloud accounts but want to adopt multi-cloud strategy later. It serves enterprises needing multi-cloud/hybrid cloud management and non-cloud enterprises looking to cloudize IDC physical resources.
What commercial products does Cloudpods offer?
Based on the open source version, Cloudpods offers four commercial enterprise products: Enterprise-level Hybrid Cloud for hybrid cloud management, Enterprise-level Cloud Native Private Cloud for private cloud deployments, Cloud Native Multi-cloud Management Platform for multi-cloud operations, and Public Cloud Billing Management and Optimization (FinOps) for cost management. These enterprise products provide additional features and support beyond the open source version.