Rolling Out A New Home Datacenter
Rolling Out A New Home Datacenter
Introduction
The modern home datacenter represents the ultimate proving ground for infrastructure engineers. When a Reddit user recently shared specs for their 11-node EPYC-powered homelab - complete with 100Gbe networking and custom UPS infrastructure - it sparked both admiration and curiosity. This 12kW beast (costing more than some cars) exemplifies how advanced self-hosted infrastructure has become.
For DevOps professionals and system administrators, home datacenters serve multiple critical functions:
- Risk-Free Experimentation: Test cutting-edge technologies without enterprise constraints
- Career Development: Master infrastructure automation at scale
- Cost Optimization: Replace cloud expenses with owned hardware
- Specialized Workloads: Run high-performance computing tasks impractical in shared environments
This guide dissects the complete lifecycle of deploying professional-grade infrastructure in residential environments. We’ll cover:
- Hardware selection balancing performance and power efficiency
- Enterprise-grade virtualization and orchestration
- Network architecture for multi-tenant workloads
- Power and cooling considerations for dense deployments
- Operational practices borrowed from hyperscale environments
By the end, you’ll understand how to design, deploy, and maintain infrastructure that rivals commercial offerings - all within your own four walls.
Understanding Home Datacenter Fundamentals
What Constitutes a Modern Home Datacenter?
Unlike traditional “homelabs” consisting of repurposed consumer hardware, contemporary home datacenters implement enterprise patterns at reduced scale:
Core Components:
- Compute Nodes: EPYC/Ryzen or Xeon Scalable processors with ECC RAM
- Storage: NVMe-backed Ceph clusters or ZFS arrays
- Networking: 25/100Gbe spine-leaf topologies
- Power: Dual-conversion UPS with generator backup
Functional Requirements:
- Hyperconverged infrastructure capabilities
- Infrastructure-as-Code (IaC) management
- Observability pipeline with metrics/logs/tracing
- Automated recovery from hardware failures
Evolution of Residential Infrastructure
The home datacenter movement has progressed through distinct phases:
| Era | Typical Hardware | Key Enablers |
|---|---|---|
| 2000-2010 | Decommissioned enterprise gear | VMware ESXi Free, Proxmox VE |
| 2010-2018 | Custom whitebox servers | Kubernetes, OpenStack |
| 2018-Present | ARM SBC clusters + HEDT systems | Microservers, 100Gbe NICs |
This evolution parallels cloud infrastructure development, enabling individuals to implement patterns like:
- GitOps: ArgoCD managing cluster state
- Service Meshes: Istio/Linkerd for internal traffic
- HPC Workloads: MPI clusters for scientific computing
Performance/Cost Analysis
The referenced Reddit configuration demonstrates professional-grade capabilities:
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2x AMD EPYC 9B14 (96C/192T)
768GB DDR5 @ 4800MHz
4x 4TB U.2 NVMe
2x 100Gbe ConnectX-4
Performance Considerations:
- Throughput: 200Gbe per node enables NVMe-oF/RDMA workloads
- Compute Density: 2,112 vCPUs per rack (11 nodes × 192 threads)
- Storage: 176TB raw NVMe (11 × 16TB) with 1M+ IOPS capability
Cost Drivers:
- DDR5 RDIMMs at ~$800 per 64GB module
- Enterprise U.2 SSDs at ~$1,500 per 4TB
- 100Gbe NICs at ~$800/port
Use Case Spectrum
Contrary to “Pi-Hole” jokes, serious home datacenters typically host:
Hyperconverged Infrastructure
Proxmox/Ceph clusters providing VM + block storage servicesMachine Learning
Kubeflow pipelines with GPU/TPU accelerationMedia Processing
FFmpeg transcoding farms for 8K videoDevelopment Environments
Ephemeral Kubernetes namespaces per developerSecurity Labs
Network intrusion detection with Suricata/Zeek
Prerequisites
Hardware Requirements
For a production-equivalent deployment:
Minimum Specifications:
- CPU: AMD EPYC 7003/9004 or Intel Xeon Scalable (16C+)
- RAM: 256GB ECC DDR4/DDR5 per node
- Storage: 2x NVMe (OS) + 4-8x SSD/NVMe (data)
- Networking: Dual 25Gbe+ NICs (SFP28/QSFP28)
Power Infrastructure:
- UPS: Double-conversion >10kVA (e.g., Eaton 9PX)
- PDU: Metered/switchable 30A+
- Circuit: Dedicated 240V L6-30R
Cooling:
- Per-rack heat load calculation:
BTU/hr = Total Watts × 3.41 - Example: 12kW × 3.41 = 40,920 BTU/hr (requires 3.5-ton AC)
Software Requirements
Base OS:
- Proxmox VE 8.x
- Rocky Linux 9.x
- Ubuntu Server 22.04 LTS
Orchestration:
- Kubernetes 1.28+ (with Cilium CNI)
- HashiCorp Nomad 1.6+
Management:
- Terraform 1.5+ with Libvirt/Proxmox provider
- Ansible Core 2.14+
Network Planning
VLAN Architecture:
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VLAN 10: Management (SSH/API)
VLAN 20: Storage (iSCSI/Ceph)
VLAN 30: VM Data
VLAN 40: DMZ Services
Firewall Rules:
- Default deny all
- Whitelist intra-cluster communication
- Rate limit public services
Pre-Installation Checklist
- Validate hardware compatibility (PCIe bifurcation, DIMM population)
- Update all BMC/IPMI firmware
- Burn-in test components (72h memtest86+, fio storage tests)
- Document MAC addresses for DHCP reservations
- Configure switch ports (MTU 9000, LACP)
Installation & Configuration
Bare Metal Provisioning
PXE Boot Infrastructure:
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# Configure dnsmasq for PXE
dhcp-range=192.168.1.50,192.168.1.150,12h
dhcp-boot=pxelinux.0,pxeserver,192.168.1.10
enable-tftp
tftp-root=/var/lib/tftpboot
IPMI Configuration:
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# Set BMC credentials on Supermicro nodes
ipmitool -I lanplus -H $BMC_IP -U ADMIN -P ADMIN user set name 2 admin
ipmitool -I lanplus -H $BMC_IP -U ADMIN -P ADMIN user set password 2 $STRONG_PASSWORD
ipmitool -I lanplus -H $BMC_IP -U admin -P $STRONG_PASSWORD sol enable
Hypervisor Deployment
Proxmox VE Installation:
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# Download ISO
wget https://enterprise.proxmox.com/iso/proxmox-ve_8.0-2.iso
# Create ZFS RAID10
zpool create -f -o ashift=12 tank \
mirror /dev/disk/by-id/nvme-Samsung_SSD_1 \
/dev/disk/by-id/nvme-Samsung_SSD_2 \
mirror /dev/disk/by-id/nvme-Samsung_SSD_3 \
/dev/disk/by-id/nvme-Samsung_SSD_4
Kernel Parameter Tuning:
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# /etc/kernel/cmdline
root=ZFS=tank/rpool/ROOT/pve-1 boot=zfs intel_iommu=on iommu=pt
cgroup_enable=memory swapaccount=1 mitigations=off
Cluster Orchestration
Kubernetes Bootstrap with kubeadm:
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# Install prerequisites
apt-get install -y apt-transport-https curl
curl -s https://packages.cloud.google.com/apt/doc/apt-key.gpg | apt-key add -
echo "deb https://apt.kubernetes.io/ kubernetes-xenial main" > /etc/apt/sources.list.d/kubernetes.list
# Install components
apt-get update && apt-get install -y kubelet=1.28.5-00 kubeadm=1.28.5-00 kubectl=1.28.5-00
# Initialize control plane
kubeadm init --pod-network-cidr=10.244.0.0/16 \
--control-plane-endpoint=cluster.home.datacenter:6443 \
--upload-certs
Cilium CNI Configuration:
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apiVersion: cilium.io/v2
kind: CiliumClusterwideNetworkPolicy
metadata:
name: clustermesh
spec:
endpointSelector: {}
egress:
- toEntities:
- cluster
- toEndpoints:
- matchLabels:
k8s:io.kubernetes.pod.namespace: kube-system
Network Fabric Implementation
FRRouting BGP Configuration:
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! /etc/frr/frr.conf
router bgp 64512
bgp router-id 192.168.100.1
neighbor SPINE peer-group
neighbor SPINE remote-as 64512
neighbor 192.168.100.2 peer-group SPINE
neighbor 192.168.100.3 peer-group SPINE
!
address-family ipv4 unicast
network 10.10.0.0/24
exit-address-family
VXLAN Overlay:
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# Create VXLAN interface
ip link add vxlan100 type vxlan \
id 100 \
local 192.168.100.1 \
dev bond0 \
dstport 4789
# Add to bridge
brctl addbr br-vxlan100
brctl addif br-vxlan100 vxlan100
Optimization & Tuning
Hardware-Specific Tuning
AMD EPYC Power Management:
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# Set performance governor
cpupower frequency-set -g performance
# Disable C-states
for i in $(ls -d /sys/devices/system/cpu/cpu*/cpuidle/state*); do
echo 1 > $i/disable
done
NVMe Optimization:
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# Set I/O scheduler
echo none > /sys/block/nvme0n1/queue/scheduler
# Increase queue depth
nvme set-feature /dev/nvme0 -f 1 -v 0x00ff
Kubernetes Performance
Pod Density Optimization:
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# kubelet-config.yaml
apiVersion: kubelet.config.k8s.io/v1beta1
kind: KubeletConfiguration
maxPods: 500
kubeAPIQPS: 100
kubeAPIBurst: 200
serializeImagePulls: false
Container Runtime Tuning:
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# /etc/containerd/config.toml
[plugins."io.containerd.grpc.v1.cri".containerd]
snapshotter = "stargz"
disable_snapshot_annotations = false
[plugins."io.containerd.grpc.v1.cri".containerd.runtimes.runc]
runtime_type = "io.containerd.runc.v2"
[plugins."io.containerd.grpc.v1.cri".containerd.runtimes.runc.options]
SystemdCgroup = true
Security Hardening
SSH Bastion Configuration:
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# /etc/ssh/sshd_config.d/99-hardened.conf
PermitRootLogin prohibit-password
PasswordAuthentication no
AllowAgentForwarding no
X11Forwarding no
MaxAuthTries 3
MaxSessions 2
ClientAliveInterval 300
Pod Security Policies:
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apiVersion: policy/v1beta1
kind: PodSecurityPolicy
metadata:
name: restricted
spec:
privileged: false
allowPrivilegeEscalation: false
requiredDropCapabilities:
- ALL
volumes:
- 'configMap'
- 'emptyDir'
- 'secret'
hostNetwork: false
hostIPC: false
hostPID: false
Operational Management
Infrastructure-as-Code Workflow
Terraform Proxmox Provider:
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resource "proxmox_vm_qemu" "k8s_worker" {
count = 11
name = "worker-${count.index}"
target_node = "proxmox01"
clone = "ubuntu2204-template"
cores = 48
sockets = 2
memory = 262144
network {
model = "virtio"
bridge = "vmbr0"
}
disk {
storage = "nvme-pool"
type = "scsi"
size = "4T"
}
}
Ansible Hardware Inventory:
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# inventory/hardware.yml
all:
children:
epyc_nodes:
hosts:
node01:
bmc_ip: 192.168.100.101
node02:
bmc_ip: 192.168.100.102
storage_nodes:
hosts:
stor01:
jbod_count: 2
Monitoring Stack
Prometheus Node Exporter:
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# prometheus-node-exporter-daemonset.yaml
apiVersion: apps/v1
kind: DaemonSet
spec:
template:
spec:
containers:
- args:
- --web.listen-address=0.0.0.0:9100
- --collector.textfile.directory=/var/lib/node_exporter
- --collector.netdev.device-exclude=lo,veth.*
- --collector.nvme
Grafana Dashboard Variables:
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{
"interval": "30s",
"queries": [
{
"refId": "A",
"expr": "sum(rate(node_cpu_seconds_total{mode=\"idle\"}[5m])) by (instance)",
"legendFormat": ""
}
]
}
Backup Strategy
Proxmox Backup Server:
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# Create backup job