#servermo

[servermo]

Building a Production-Grade Private Netflix with Jellyfin

Let's be brutally honest about self-hosted media servers. Running Jellyfin on a Raspberry Pi or an old laptop is fine if you are the only one watching 1080p movies locally.

But what happens when you share your server with 5 friends? What happens when you try to stream a 50GB 4K movie while traveling on mobile data?

Your hardware will choke. The stream will buffer endlessly. And your home internet's upload speed will bottleneck everyone.

You need a true Production-Grade Netflix Alternative. In our latest ServerMO engineering blueprint, we bypass the beginner stuff and teach you the SysAdmin way to deploy Jellyfin securely on an Ubuntu 24.04 Dedicated Server.

The SysAdmin Playbook:

⚡ The RAM Disk Hack: We map a /transcode directory to tmpfs in Docker. This forces transcoding caches into RAM, saving your SSD from burning out.

🎥 Solving GPU Permissions: Most tutorials fail here. We show you exactly how to find your Linux render group ID (getent group render) and pass your NVIDIA or Intel GPU into the container for flawless 4K-to-mobile compression.

🔒 Enterprise Nginx Routing: Never stream over plain HTTP. We provide the exact Nginx config to disable buffering (proxy_buffering off;), enable WebSockets, and secure everything with Certbot SSL.

🚀 1Gbps Symmetric Power: Ditch the home internet upload limits. A ServerMO Bare Metal server provides the unshared network and compute resources needed for multiple remote users.

Say goodbye to endless loading screens and build your streaming empire the right way. 🏢

👉 Read the full Jellyfin Production Deployment Guide on the ServerMO Blog here

[servermo]

How to Securely Deploy Supabase on ServerMO Dedicated Servers

Escape public cloud vendor lock in. Master secure Docker networking exact Nginx API routing and WebSocket persistence for Supabase on Server

Stop Raw-Dogging Your Supabase Deployments on the Public Internet

Let’s get one thing straight: if you just cloned the Supabase docker repo, typed docker compose up, and walked away, your infrastructure is fully compromised.

At ServerMO, we just dropped the SRE Masterclass on how to actually deploy self-hosted Supabase without giving hackers free rein over your Postgres database:

Docker Ignores Your Firewall: Yeah, UFW doesn't care if Docker tells iptables to open port 5432 to the whole planet. You have to go into the compose file and hard-bind Kong and the database strictly to 127.0.0.1.

The 404 SDK Nightmare: If you route your reverse proxy through a random /api/ folder, the Supabase client SDKs will break instantly. They expect root-level paths. Use exact Regex matching in Nginx.

Stop Killing Your WebSockets: Realtime subscriptions dying immediately? You forgot to pass the Upgrade headers in your Nginx proxy. Your proxy is literally suffocating the connection.

The "502 Bad Gateway" Reality Check: You can't run 15 massive microservices on a $5 shared VPS. The Linux OOM killer will silently execute your API gateway because it ran out of RAM. Get a real bare metal server with actual NVMe IOPS.

Secure your backend, keep your data, and stop paying insane cloud vendor fees.

[servermo]

How to Optimize MongoDB on Bare Metal Servers (SRE Guide)

Master MongoDB bare metal optimization. Prevent NUMA memory traps disable Transparent Huge Pages and enforce strict TLS encryption safely.

Stop Running MongoDB with Untuned Desktop Defaults

Let’s be completely honest: running an enterprise database pipeline with unoptimized cloud templates or default desktop Linux configs is a total disaster waiting to happen. You spend top dollar deploying lightning-fast bare-metal nodes, and then you leave standard kernel options active?

At ServerMO, we just released the absolute SRE Playbook to fix these structural configuration failures before they crash your production fleet:

The Multi-Socket Memory Slowdown: If you are running high-core dual AMD EPYC or Intel Xeon chips, your server uses Non-Uniform Memory Access (NUMA). Running MongoDB out-of-the-box traps allocations inside a single processor socket. Wrap your daemon via numactl --interleave=all to spread the load evenly across all available hardware pools.

The Transparent Huge Pages Timebomb: Linux likes handling memory in massive 2MB blocks via THP. MongoDB's WiredTiger engine works with tiny, granular allocations. Forcing them together triggers massive bloat, intense internal memory battles, and locks your server up permanently. Deactivate THP using a persistent boot daemon script.

Ditch the EXT4 Partition Standard: EXT4 chokes hard during the database engine's standard 60-second engine checkpoints under heavy write concurrency. Reformat your production NVMe database storage pools to XFS and eliminate write latency bottlenecks with explicit noatime parameters.

The Plaintext Security Illusion: A replica set cluster key file is NOT an encryption protocol. It’s just an identity pass. Relying on key files alone means your database passwords and raw document packets travel over internal switch lanes in completely vulnerable plaintext. Turn on strict requireTLS processing immediately.

Scale your data infrastructure cleanly without cloud licensing limits or resource throttling.

[servermo]

How to Safely Manage Linux Servers with CtrlOps (SRE Guide)

Automate Linux server troubleshooting with CtrlOps. Avoid cloud privacy leaks, root access traps, and establish Zero Trust port forwarding.

How to Safely Manage Linux Servers with CtrlOps

Let’s talk about the absolute danger of hooking up intelligent terminal agents directly to your server's root account.

Everyone loves the idea of agentless troubleshooting tools automatically scanning logs and spinning up remediation scripts. But if you connect that tool as root, and an exhausted system administrator accidentally clicks "approve" on a hallucinated code snippet at 3 AM? Congratulations, you just nuked your entire production environment.

At ServerMO, we just dropped the Enterprise SRE Playbook to prevent these exact infrastructure disasters:

Stop leaking corporate logs: Out of the box, CtrlOps can leak system metrics to commercial cloud providers. Run Ollama locally on an isolated Management Bastion so your laptop doesn't melt from thermal throttling.

The Ollama Hijack Trap: Ollama has ZERO native authentication. Exposing its port to the public internet turns your private server into a free-for-all public compute engine. Keep it bound to localhost and use encrypted SSH local port forwarding.

Fix your pipeline freezes: Agentless systems can’t type passwords. The moment your terminal runs a standard sudo command, the background prompt freezes the script forever. Harden your configurations with clear, targeted NOPASSWD directory entries for specific binaries.

Stop trying to replace Ansible: Intelligent terminals are imperative. Widespread multi-machine configuration management requires declarative frameworks (Ansible, Terraform) to stop massive configuration drift. Keep your terminals locked to rapid localized debugging.

Get real, unshared hardware performance without sacrificing operational privacy.

[servermo]

Virtualize Game Development with NVIDIA RTX PRO 6000 Blackwell Servers

Centralize studio workflows using NVIDIA RTX PRO 6000 Blackwell servers. Defeat hypervisor latency and Broadcom licensing taxes using Proxmo

Virtualize Game Development with NVIDIA RTX PRO 6000 Blackwell Servers

Let’s have a brutal engineering reality check about studio infrastructure.

If your game studio is still running multi-million dollar pipelines on physical workstations stashed under local office desks, you are burning money. But if you think buying a single 96GB NVIDIA Blackwell server means you can instantly dump 48 concurrent developers onto it because a marketing brochure said so, you're about to crash your entire pipeline.

That splits out to a miserable 2GB of VRAM per user. Unreal Engine will exception-crash before the landing screen even finishes loading. In the real world, you can fit 6 to 8 elite developers on that card. Maximum.

At ServerMO, our latest infrastructure blueprint exposes the raw mathematics of graphics virtualization:

The Broadcom Software Tax: Stop paying aggressive annual subscription fees on proprietary hypervisors just to avoid cloud egress. Run open-source Proxmox VE (KVM) or Red Hat OpenShift (KubeVirt) for raw, tax-free graphics compute paths.

The Viewport Streaming Paradox: Stop trying to stream viewports using consumer software that chokes on enterprise grid drivers and crashes your editors. Use certified protocols like HP Anyware (Teradici PCoIP).

The Noisy Neighbor Shader Crisis: For the love of clean frame pacing, implement strict NUMA node pinning so one dev compiling a 10,000-item shader doesn't drop the entire team's viewport down to a lagging 5 FPS.

Stop settling for underpowered hardware templates and rigid clouds that freeze your distribution pipelines.

[servermo]

How to Safely Run Claude Code on Ubuntu 24.04 (Enterprise SRE Guide)

Transform your dedicated server into a secure AI development environment. Master Podman isolation DBus safe systemd persistency and headless

How to Safely Run Claude Code on Ubuntu 24.04

Let’s have a brutal engineering reality check about your AI terminal agents.

If you are switching users locally in your terminal using su, you are destroying your DBus session variables. If you aren't enabling loginctl enable-linger, the Linux kernel is mercilessly killing your rootless Podman containers the exact second you close your SSH client.

And if you haven't set a hard API billing limit? Claude Code is going to read your massive unoptimized repository in a loop and generate an API invoice that will genuinely ruin your week. It is not a flat-fee subscription.

At ServerMO, we just dropped the definitive SRE playbook for running Claude Code securely on Ubuntu bare metal. No SELinux hallucinations in our Quadlet configs—just pristine AppArmor execution, zombie-container prevention, and zero-amnesia headless authentication.

Fix your DevSecOps architecture: 🔗 https://www.servermo.com/howto/install-claude-code-ubuntu-24-04-bare-metal/

[servermo]

Acronis vs JetBackup Which is Best for Dedicated Servers in 2026

Defend against AI generated ransomware in 2026. Compare the budget efficiency of JetBackup with the enterprise bare metal recovery power of

The "Instant Bare-Metal Restore" Lie.

Let’s have a brutal engineering reality check.

Marketing materials for enterprise backup software love promising "instant" bare-metal recoveries. But Site Reliability Engineers know this violates the laws of physics. If your dedicated server dies and you need to pull a 4-Terabyte block-level image from an offsite cloud repository over a standard Gigabit connection... you aren't doing that "instantly." It will take hours.

Calculate your Recovery Time Objective (RTO) based on bandwidth, not brochures.

At ServerMO, we just published a zero-fluff comparison between the two biggest names in the space: Acronis Cyber Protect vs. JetBackup.

Here is what you actually need to know:

The API Key Trap: If your backup agent stores cloud API keys locally on your bare metal server, modern polymorphic ransomware will just authenticate to your remote bucket and wipe your offsite backups too. Cloud storage does not equal safety. You need mathematically immutable storage.

JetBackup (File-Level): It is the undisputed king of shared web hosting (cPanel/Plesk). If a client deletes their WordPress database, they can restore it themselves. But if the whole server burns down? You are manually reinstalling Linux and the control panel before syncing files. Massive downtime.

Acronis (Block-Level): True enterprise reality. It clones the drive sector-by-sector (bootloader, kernel, filesystems) and uses AI kernel heuristics to terminate ransomware. But it eats compute resources and licensing isn't cheap.

Stop relying on the cloud to save you if you haven't implemented the 3-2-1-1-0 framework.

Read the full SRE comparison matrix here: 🔗 Acronis vs JetBackup: The Brutal SRE Infrastructure Review

[servermo]

How to Self Host DeepSeek V4 on Bare Metal GPUs (vLLM SRE Guide)

Escape the AI API tax. Deploy DeepSeek V4 Flash and Pro on NVIDIA H100 and L40S bare metal servers utilizing vLLM expert parallelism and Kon

Stop Paying the API Tax. Self-Host DeepSeek V4 Like a Pro.

We need to have a serious talk about the AI API economy. The one-million-token context window is amazing until you try feeding entire codebases into commercial endpoints and receive a catastrophic monthly invoice.

Processing 50 million tokens a day? You are bleeding money.

The solution is shifting that workload to a ServerMO Bare Metal GPU Server, dropping costs by up to 5x while guaranteeing absolute data sovereignty. But if you’re going to self-host a massive model like DeepSeek V4, you have to stop doing it like an amateur.

Here is the actual Enterprise SRE Blueprint to get it right:

1. The "A100" Illusion A lot of outdated guides tell you to use legacy A100s. Don't. They lack the Hopper Transformer Engine needed for native FP8 acceleration. You need NVIDIA L40S or better.

2. Exact VRAM Arithmetic (No Guesswork) If you are running the FP8 Flash variant, you need exactly 158 GB for weights and 10 GB for a single 1M token KV Cache. Total: 168 GB VRAM. A ServerMO cluster of 4x NVIDIA L40S gives you 192 GB. Warning: That KV cache balloons to 100 GB if 10 users hit it at once. Scale your horizontal infrastructure accordingly.

3. The Storage Bottleneck Stop downloading massive AI models onto local disks or standard NFS. It’s an engineering flaw. You need a Parallel File System (WekaFS) using RDMA to bypass the CPU and stream weights instantly into GPU memory across your cluster.

4. Kong API Security (Kill the "Dirty Key" Hacks) Exposing raw vLLM endpoints to the internet is a disaster waiting to happen. Deploy Kong API Gateway in front of your stack to enforce strict TLS encryption and Enterprise JWT authentication. Because vLLM mimics the OpenAI spec, you can migrate with zero code rewrites.

Stop renting your intelligence from cloud monopolies on volatile spot instances. Reclaim your data. Own the silicon.

The Full Architectural Playbook: 🔗 Self-Host DeepSeek V4 on Bare Metal GPUs