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If a homelab node failed tonight, your important services would recover only if the surviving infrastructure has enough usable CPU, memory, storage access, network capacity, and quorum to restart them. A cluster’s node count alone cannot prove that. Plan around the specific workloads and failure you need to survive, then test the recovery path on your own hardware.
What does “recover after a node dies” actually require?
Hypervisor high availability (HA) and application-level availability solve different problems. Hypervisor HA can restart eligible VMs or containers on surviving hosts; it does not automatically make an application resilient, preserve data that was only on a failed host’s local disk, or guarantee a particular recovery time. Application-level HA may require multiple application replicas, usable persistent storage, and enough worker capacity independently of the hypervisor.
For Proxmox VE HA, quorum and resource recovery rules affect whether a resource can be recovered. Proxmox recommends at least three cluster nodes for reliable quorum. Read the Proxmox VE High Availability Manager documentation alongside the Proxmox VE Cluster Manager documentation for the relevant cluster and HA behavior.
Define the failure precisely. One host going down may also take its local disks, network interfaces, and every service concentrated on it. A second network link to the same switch, or another service on the same power domain, does not protect against failure of that shared component.
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Which services must come back first?
Start with an inventory rather than a node-count target. Classify each VM, container, and Kubernetes workload by its importance, and record its actual or configured resource demands and dependencies.
- Essential: must recover after the selected failure.
- Useful: desirable to restore, but can wait while essential services recover.
- Safe to leave down: can remain stopped until capacity or the failed host returns.
For each workload, record CPU and memory use under representative load, storage needs, network demand, and any hardware or placement dependency. Note services tied to a physical device, a single storage path, or a network path that will disappear with the failed host. Free CPU and RAM elsewhere do not help if the workload cannot access its disks or required hardware.
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How much surviving capacity is enough?
For each possible failed host, total the demand of workloads that must run on the remaining eligible nodes. Compare that total with usable capacity—not the machines’ advertised maximum—after reserving resources for the host and storage system. Include the additional work of restarting guests and recovering or rebalancing storage, rather than relying on ordinary idle-time readings.
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Memory needs a recovery reserve
Proxmox’s system requirements give a general baseline of 2 GB for the operating system and Proxmox services, in addition to memory assigned to guests. For Ceph and ZFS, the guidance adds about 1 GB per TB of used storage. Treat these as published planning guidance, not a per-host guarantee: actual needs depend on the storage configuration, OSD count, guest behavior, and recovery load.
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Do not allocate every remaining gigabyte to guests in the normal state if doing so leaves no room for a survivor node to run the required guests and its share of storage work. Check the peak memory demand during a recovery exercise, not just the usual steady-state footprint.
Check CPU, storage, and network separately
- CPU: Determine whether survivor nodes can handle the essential workload concurrently. A spare node with enough memory but insufficient processing capacity is not a successful recovery target.
- Storage: Confirm that an eligible survivor can access each required VM disk or persistent volume after the failure. Then assess whether the storage system can serve guest I/O while it is recovering.
- Network: Check that the surviving paths can carry normal service traffic plus recovery traffic without undermining cluster communication or application performance.
Will storage remain available during recovery?
Local storage on a failed host is not available to another host merely because the cluster has spare CPU and memory. Shared or distributed storage must remain reachable by the eligible recovery nodes, and it must be able to serve workloads while rebuilding or rebalancing.
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For a hyper-converged Ceph setup, Proxmox says to use at least three servers, preferably identical. Its Ceph guidance warns that recovery can take a long time in small clusters and recommends SSDs in small setups to reduce recovery time. It also notes that larger OSD capacity can mean a single OSD failure forces more data to be recovered. These are design considerations, not a promised recovery duration; see the Proxmox VE Ceph documentation.
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- 【10-inch width】The cabinet has a width of 10 inches, which is a relatively small size that saves space while accommodating sufficient equipment. With dimensions of 11.02x10.23x23.22 inches, it is suitable for small offices, home environments, and large enterprises looking to save space.
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- 【Translucent Design】Both sides are made of translucent acrylic, providing dust resistance and reduced weight. This design allows direct observation of the cabinet's interior, and users can add ambient lights for decoration.
Can the cluster network and quorum survive?
Corosync cluster communication is time-sensitive. Proxmox recommends physically separating Corosync traffic from other network traffic. Its Ceph guidance recommends at least 10 Gbps dedicated for Ceph traffic, while noting that disk performance affects the bandwidth required. If Ceph recovery traffic shares a network with Corosync, the extra load can interfere with cluster communication and risk quorum loss.
If Corosync uses LACP, the Proxmox cluster guide says the documented default LACP timing can take 90 seconds to fail over; fast LACP settings on both sides can reduce that to 3 seconds in the scenario described by the guide. Those are configuration-specific timings, not a general prediction for every switch or failure. Check the cluster networking guidance and verify the behavior of your own links and switches.
Quick Recap
Which recovery design fits your homelab?
| Design | What it addresses | What you must verify |
|---|---|---|
| Proxmox HA with shared or distributed storage | Can restart eligible guests on surviving hosts when cluster and storage conditions allow it. | Quorum, eligible-node capacity, storage access and recovery performance, memory and CPU headroom, network isolation, and operational complexity. See the HA Manager and Ceph documentation. |
| Kubernetes HA control plane | Provides control-plane availability through either stacked control plane and etcd or external etcd topology. | Stacked control plane and etcd use less infrastructure; external etcd separates the roles and requires more infrastructure. In either case, separately verify worker capacity, application replicas, and persistent storage. A resilient control plane does not by itself protect the host or application data. See the kubeadm high-availability guide. |
| Recovery from backups without HA | Provides a route to restore services from backups rather than automatically restarting them on survivors. | Compare the cost and complexity with the downtime and data-loss window you can accept. The cited documentation does not specify a backup design or promise recovery objectives. |
How do you find out what would happen tonight?
- Choose the failure to test. Start with one hypervisor host, and state whether the scenario also removes that host’s local disks, network links, or other dependencies.
- Mark workloads by priority. Identify which guests and applications must return, which can wait, and which can stay down.
- Map dependencies. For each essential workload, verify an eligible destination, storage access, required network paths, and any physical-device dependency.
- Calculate survivor demand. Add the essential workloads’ CPU, memory, storage, and network needs on the remaining nodes, then reserve capacity for the hosts and storage system, including recovery load.
- Inspect recovery behavior. Check the HA start and relocation policies. Proxmox documents that a resource that cannot be recovered can enter an error state requiring administrator action; decide how that situation will be detected and handled.
- Run a planned failure exercise. Use a maintenance window and a safe test plan. Record failure detection, guest restart, storage recovery, and service restoration separately. No documentation figure can establish those timings for your hardware.
- Revise the plan from observed results. If essential workloads do not recover, identify whether the limit was quorum, capacity, storage, networking, or a dependency, then change the design or the recovery expectation before relying on it.
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