What is included with managed cloud?
The service includes cluster deployment, HA planning, storage and network design, backup policy work, monitoring, patching, and platform-side operational support.
Private cloud with managed operations
Managed Proxmox Cloud
Build your own private cloud footprint on enterprise hardware without having to assemble the full platform team first. HYEHOST designs, deploys, and operates managed Proxmox VE clusters for production workloads that need live migration, strong tenant separation, storage planning, and real network engineering.
3+Node quorum baseline for HA design
24/7Managed monitoring, patching, and response
VM + LXCMixed workload support on one platform
BYOIPBring your own prefixes and routing policy
AS47272Backed by HYEHOST network engineering
Performance profiles
Storage choices trade raw speed for resilience in very different ways
Teams usually ask how HA storage compares to direct-attached disk. The short answer is that local NVMe is the raw baseline, while replicated storage spends part of that headroom on fault tolerance, network travel, and recovery behavior.
Illustrative relative profile only: exact output depends on replica count, controller choice, block size, queue depth, and whether the workload is latency-sensitive or throughput-heavy.
Local NVMe
Best when you want the closest thing to raw disk performance and can place HA at the application or replica layer.
1.0x raw disk baseline
- Fastest latency profile for single-node reads and writes
- Strong fit for caches, local databases, and high-IOPS scratch tiers
- Less shared-failure protection than replicated cluster storage
Replicated HA storage
Shared storage with fault tolerance across nodes, designed for migration, restore strategy, and better platform continuity.
0.55x - 0.80x of raw local profile
- Typical trade-off for replicated block or distributed storage
- Buys stronger continuity when nodes or disks fail
- Benefits most from clean private inter-node network design
RAID-backed volumes
Useful when you want simpler local redundancy and a more predictable sequential profile without going full distributed storage.
0.70x - 0.95x of raw local profile
- Good for OS volumes, platform services, and some VM tiers
- Controller and cache policy matter materially
- Still not a substitute for full multi-node HA planning
Why teams buy this
Private cloud flexibility without inheriting all of the platform burden
This service is for teams that want the operating model of Proxmox, the performance profile of dedicated infrastructure, and the continuity of a managed platform instead of stitching those parts together alone.
Private-cloud control
Retain platform ownership patterns your team understands, with cluster policy, VM placement, and automation mapped to your operating style.
- Native Proxmox VE workflows and APIs
- Clear boundaries between compute, storage, and network policy
- Support for custom routing and downstreaming requirements
Operational coverage
HYEHOST handles the repetitive, failure-prone platform work so your team can stay focused on workloads, releases, and service delivery.
- Monitoring, patching, and maintenance planning
- Backup policy design and restore readiness
- Incident response and platform-side troubleshooting
Growth without replatforming
Start with a practical cluster shape, then grow into stronger fault domains, larger interconnects, and more advanced network segmentation.
- Three-node starting point for production continuity
- Expansion paths for storage-heavy and compute-heavy clusters
- Architecture that scales with tenant count and traffic profile
Cluster design
Three Proxmox nodes on a private HA fabric
Every managed Proxmox deployment starts with practical cluster behavior: node health, migration paths, storage access, and network isolation. The model below illustrates three production nodes linked over dedicated private inter-node paths for migration, storage, quorum, and HA coordination.
- Straight inter-node paths for migration and service movement
- Shared private fabric for platform coordination and HA state
- Built to support maintenance windows without treating downtime as normal
Routing support: transit design can include AS-Set support so downstreaming requirements are accounted for during planning.
Managed cloud behavior
The visual reflects actual infrastructure concerns: server nodes, inter-node paths, and shared private fabric for migration, storage, quorum, and HA coordination.
Built for
Production situations where managed private cloud makes sense
These are the kinds of environments that benefit from Proxmox flexibility, dedicated infrastructure economics, and managed day-two operations.
SaaS platforms
Run multi-tenant stacks with isolated workloads, controlled network policy, and more predictable cost than many public-cloud footprints.
- Clear tenant boundaries with VMs or containers
- Separate compute and storage growth patterns
- Maintenance windows with migration rather than service panic
Internal IT infrastructure
Consolidate core business systems into a platform that is easier to govern, back up, and expand than a pile of standalone servers.
- AD, ERP, file, and application stacks in one environment
- HA coverage for systems the business actually depends on
- Cleaner patching and operations ownership
Hosting and platform providers
Resell VMs and containers with resource pools, delegated access, and an operational model that supports growth without redoing the platform.
- Permission models and pool separation for multi-tenant use
- Predictable performance profiles per customer class
- Strong fit for branded infrastructure services
Dev, test, and CI/CD
Spin up disposable environments, keep runner performance consistent, and roll back rapidly when testing turns into production learning.
- Snapshot before change windows or test runs
- Fast cloning and template-based rebuilds
- Safer separation from live networks and production state
Disaster recovery
Bring structure to recovery planning with clear backup policy, replication strategy, and restore workflows that are reviewed before they are urgently needed.
- Recovery objectives mapped into platform policy
- Replication and restore planning across the cluster
- Better continuity than ad hoc backup-only estates
Compliance-sensitive workloads
For teams that need more explicit control over networking, change windows, and infrastructure behavior than broad public-cloud abstractions usually offer.
- Dedicated service and management path separation
- Clearer auditability around platform changes
- Infrastructure choices aligned to governance needs
Storage, network, security
Shape the platform around workload profile, not around one rigid template
Managed cloud planning includes the practical questions that decide whether the platform feels good six months later: storage layout, interconnect profile, security boundaries, backup cadence, and how traffic should actually move.
Storage policy
Choose local, shared, or replication-oriented storage behavior based on performance, restore targets, and change velocity.
- CEph-style replicated options or lighter-weight designs
- Snapshot cadence built around recovery objectives
- Backup windows that respect production reality
Network policy
Separate service traffic, management traffic, storage paths, and external routing so cluster behavior stays predictable under load.
- Dedicated VLAN and path separation options
- 10G to 100G interconnect choices for private cluster traffic
- BYOIP, BYOASN, and custom routing workflow support
Security policy
Build segmentation and governance into the platform layout rather than retrofitting it after the cluster is already busy.
- Private firewalls and route policy controls
- Separation for internal and public service surfaces
- Platform changes aligned with operational review
Delivery model
How a managed cloud deployment moves from planning into production
The goal is a cleaner path to production, not just a stack of hardware with a hypervisor installed.
1. Platform design
We align node count, storage mode, fault domains, and routing expectations to your workload and operational tolerance.
2. Cluster deployment
Proxmox, networking, backups, and access controls are deployed as a working platform instead of a loose collection of defaults.
3. Migration and validation
Workloads move in phases with backup checks, maintenance windows, and service-level validation before full cutover.
4. Ongoing operations
After go-live, HYEHOST handles monitoring, patching, incident coordination, and platform-side operational upkeep.
How it compares
Managed Proxmox cloud against DIY and broad public cloud
This sits in the middle ground many teams actually want: private-cloud control with managed operations, rather than full DIY ownership or provider-defined abstractions.
| Capability | Managed Cloud | DIY Self-Managed | Public Cloud |
|---|---|---|---|
| Platform control | High control over cluster shape, policy, and workload layout | High control, but full ownership of every operational layer | Control is limited by provider primitives and constraints |
| HA design | Planned cluster quorum and migration paths built into delivery | Depends on internal design quality and time investment | High availability is available, but topology is abstracted away |
| Network flexibility | Supports BYOIP, BYOASN, and more explicit routing workflows | Flexible, but your team owns all network engineering effort | Often restricted by provider routing and product boundaries |
| Operational burden | Monitoring, patching, and platform-side response are managed | Everything from patching to restore readiness is team-owned | Some operations are abstracted, but less transparent and less customizable |
| Cost behavior | More predictable dedicated-infrastructure pricing model | Hidden staffing and recovery costs can grow quickly | Usage-based billing can spike with traffic, storage, and egress |
Frequently asked
Questions teams ask before moving to managed private cloud
These are the practical questions that usually come up when comparing Proxmox private cloud against DIY builds or public-cloud sprawl.
Do you support BYOIP and BYOASN?
Yes. We can support customer-owned prefixes and ASN requirements where routing policy, traffic profile, and downstream design are agreed during planning.
Can I run both VMs and containers?
Yes. Managed cloud supports both and can separate them by workload class, performance expectations, or network segmentation policy.
How does migration into the platform work?
We normally plan phased onboarding with validation points, backup checks, and controlled cutover windows so migration risk is reduced before production traffic fully moves.
Is this a good fit for a first production cluster?
Yes. It is often a strong fit for teams that need a private-cloud operating model but do not want to build the entire cluster design and operations layer from zero.
Need a managed Proxmox cloud designed around your workloads?
Tell us what you are running, how much isolation you need, whether you need BYOIP or transit, and what your storage and failover targets look like. We will map that into a sensible private-cloud design before you commit.