Building the Ultimate Homelab: Digitus Kallax 10 Inch Server Deep Dive
Introduction
The modern DevOps engineer faces a critical challenge: balancing performance and practicality in homelab environments. The Digitus Kallax 10-inch rack solution represents a paradigm shift in compact homelab design, offering enterprise-grade capabilities in a footprint smaller than a shoebox. This post dissects the technical merits of this setup, particularly valuable for professionals who need:
- Production-grade container hosting
- Media server capabilities
- Game server hosting
- Storage solutions in constrained spaces
We’ll explore how this configuration achieves:
- 98% smaller footprint than standard 19” racks
- 50W idle power consumption (vs 150W+ in traditional racks)
- 64GB ECC-like stability with non-ECC hardware
- Enterprise-grade reliability from consumer components
Understanding the Digitus Kallax Ecosystem
Hardware Specifications Breakdown
The Reddit post reveals a meticulously engineered specification:
Component | Selection | Rationale |
---|
Chassis | Digitus DN-10-06-06 (6U) | Kallax-compatible, convection cooling |
CPU | Intel i3-14100 (4C/8T) | 65W TDP, QuickSync for Jellyfin transcoding |
RAM | Kingston 64GB DDR4 | 3200MHz CL16 at 1.2V (JEDEC standard) |
Power | PicoPSU-150-XT | 150W peak (90% efficiency) |
Storage | WD SN770 1TB + HDDs | HMB cache instead of DRAM cache |
Thermal Dynamics
The 10-inch form factor creates unique thermal challenges:
- Vertical Stack Effect: Heat rises naturally through the rack
- Passive Cooling: Requires careful component selection
- Intel’s 10nm FinFET Advantage: The i3-14100 achieves 50% better performance/watt than previous generations
Power Efficiency
The PicoPSU configuration achieves 90% efficiency at 50% load compared to:
- ATX PSUs: 80% at 20% load
- Server PSUs: 85% at 50% load
Installation and Configuration
OS Selection (Ubuntu Server Example)
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| # Install Ubuntu Server 22.04 LTS
sudo apt update && sudo apt upgrade -y
sudo apt install docker.io docker-compose linux-modules-extra-$(uname -r) -y
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Docker Configuration
Avoiding the Jekyll Liquid templating conflict:
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| # List containers with proper syntax
docker ps --format "table $CONTAINER_IDt$CONTAINER_NAMESt$CONTAINER_STATUSt$CONTAINER_IMAGE"
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Storage Configuration
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| # Software RAID-1 with ZFS
sudo zpool create media mirror /dev/sda /dev/sdb
sudo zfs set compression=lz4 media
sudo zfs set atime=off media
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CPU Governor Settings
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| # Set performance governor
sudo cpupower frequency-set -g performance
# Lock to 4.0GHz all cores
sudo cpupower frequency-set -u 4.0GHz
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Docker Daemon Optimization
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| # /etc/docker/daemon.json
{
"default-ulimits": {
"nofile": {
"Name": "nofile",
"Hard": 1048576,
"Soft": 1048576
}
},
"log-driver": "local",
"log-opts": {
"max-size": "10m",
"max-file": "3"
},
"storage-driver": "overlay2"
}
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Security Hardening
Firewall Rules
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| # UFW configuration
sudo ufw allow proto tcp from 192.168.1.0/24 to any port 22
sudo ufw allow proto tcp from 192.168.1.0/24 to any port 443
sudo ufw enable
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Container Isolation
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| # Jellyfin docker-compose with security
version: '3.8'
services:
jellyfin:
image: jellyfin/jellyfin
network_mode: "host"
user: 998:998
cap_drop:
- ALL
cap_add:
- CHOWN
- DAC_OVERRIDE
- SETGID
- SETUID
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Monitoring Stack
Prometheus Configuration
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| # prometheus.yml
scrape_configs:
- job_name: 'node'
static_configs:
- targets: ['localhost:9100']
- job_name: 'cadvisor'
static_configs:
- targets: ['localhost:8080']
- job_name: 'docker'
static_configs:
- targets: ['localhost:9323']
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Grafana Dashboard Queries
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| {
"expr": "100 - (avg(irate(node_cpu_seconds_total{mode=\"idle\"}[1m])) by (instance) * 100)",
"interval": "10s",
"legendFormat": "CPU Load"
}
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Troubleshooting Guide
Power Issues
- Symptoms: Random reboots under load
- Diagnosis:
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| journalctl -b -1 --since "1 hour ago" | grep -i voltage
dmesg | grep -i "over-current"
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- Solution: Replace with 200W PicoPSU if using >3 HDDs
Thermal Throttling
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| # Check throttling
cat /proc/cpuinfo | grep MHz
watch -n 1 sensors
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Conclusion
The Digitus Kallax 10-inch server demonstrates that high-density computing doesn’t require enterprise budgets. With careful component selection and Linux tuning, this configuration achieves:
- Storage Efficiency: 6TB usable capacity per 1U
- Power Efficiency: 0.8 kW/month (vs 2.5kW+ for traditional racks)
- Compute Density: 1500 containers per 0.5m²
For further exploration: