Ali
Infrastructure · Operations · Systems · Reliability

Ali Albulayhi

An operations platform for infrastructure and critical systems.

I design and run enterprise-grade environments—infrastructure, automation, fleets, and media pipelines—with an operational lens: reliability, diagnosis, and continuity.

Deployed systemsInfrastructure layer

Posture

Always-on · high-stakes environments

Scope

Infrastructure · automation · fleets · media

Standard

Observable · reliable · operationally clear

01

Operations

Run systems—not showcase them.

I work at the operations layer: virtualized infrastructure, networks, automation, and device fleets. The homelab is a verification circuit; production is a different standard. Every component needs a diagnosis path, clear boundaries, and the ability to hold under pressure.

Operational domains

Incident diagnosis
Reliability engineering
Infrastructure automation
Fleet orchestration
Enterprise networking
Media pipelines
System observability
Edge operations

Enterprise infrastructure

Virtualized clusters, segmented networks, and service layers built to hold under load.

Reliability & response

Structured troubleshooting, clear escalation paths, systems legible at first alert.

Operational automation

Events, queues, and policies that remove manual steps without losing control.

Device fleets

Parallel Android instances, ADB routing, and isolated automation workloads at scale.

Media operations

Ingest, processing, and programmatic broadcast—pipelines that never sleep.

Broadcast control

OBS scenes, dynamic sources, and triggers wired into the event layer.

Verification lab

Homelab as the proving circuit before anything touches a live environment.

Greenfield platforms

Fast prototypes, strict gates on what graduates to production.

02

Operating Philosophy

How systems are run here.

This is not a portfolio surface—it is an operational stance. Build fast; run strict. Clarity beats presentation. Reliability is a design outcome, not a slogan.

01

Observable by default

If it is not logged and monitored, it is not operational yet.

02

Automate the repeatable

Hands for exceptions. Algorithms for the known path.

03

Design for failure

Assume outage. Plan rollback. Test recovery.

04

Operational clarity

Every system ships with an owner, a state, and a diagnosis path.

03

Deployed Systems

Systems in production under operational load—reliability, observability, iteration without ceremony.

SaveAllMediaX

High-throughput media acquisition and archival pipeline. Orchestrates downloads, deduplication, and structured storage across distributed nodes.

Media
Automation
Python
Storage
Production

Pi NetTool

Edge networking toolkit for Raspberry Pi clusters. Diagnostics, mesh routing helpers, and lightweight monitoring for homelab subnets.

Networking
Edge
Linux
Monitoring
Active

Android Multi-Instance Infrastructure

Fleet orchestration for parallel Android instances. Provisioning, ADB routing, and workload isolation for automation at scale.

Android
Orchestration
ADB
Infrastructure
Production

OBS Automation Systems

Programmatic broadcast control—scene switching, source management, and event-driven overlays wired into custom automation triggers.

OBS
Streaming
WebSocket
Automation
Active

AI Media Pipelines

End-to-end workflows combining ingestion, inference, and post-processing. Model routing, queue management, and quality gates.

AI
Pipelines
GPU
Workflows
Active

3D Printing Lab

Integrated print farm with slicer automation, filament tracking, and remote job scheduling across networked printers.

3D Printing
Hardware
MQTT
Lab
Experimental
04

Infrastructure

A technical layer chosen for operations—observable, automatable, maintainable.

LinuxProxmoxDockerNetworkingPostgreSQLRedisObservabilityAutomation pipelinesFleet orchestrationIncident response

Core infrastructure

  • Linux
  • Proxmox
  • Docker
  • VLANs
  • Edge routing

Operations & data

  • PostgreSQL
  • Redis
  • Backups
  • Runbooks

Automation & fleets

  • Event pipelines
  • ADB fleets
  • Media ingest
  • OBS control

Operational intelligence

  • Inference queues
  • Model routing
  • Quality gates
05

Lab

Verification circuit before production promotion.

Live operational experiments—infrastructure, automation, intelligence—updated as builds progress, not as marketing.

Nodes active · homelab loop

Agent Orchestration Layer

v0.3

Multi-agent task routing with tool-use boundaries and observability hooks.

AI
Agents
Building

Print Queue Optimizer

concept

ML-assisted job ordering based on material, duration, and thermal constraints.

3D Printing
Ideation

OBS Event Bus

event/s

Decoupled event stream for scene changes, alerts, and external webhook triggers.

OBS
Automation
Testing

Android Fleet Controller

12 nodes

Unified API for spinning, snapshotting, and routing traffic across instances.

Android
Deployed

Real-time Media Inference

4 workers

Sub-second frame analysis pipeline with GPU scheduling and fallback queues.

AI
Media
Building

Homelab Service Mesh

latency −12ms

Internal service discovery and health propagation across Proxmox VMs.

Infrastructure
Testing
06

Signal

Open an operational channel.

Infrastructure, automation, or systems that need an operator—direct channel, no intermediaries.

Emailhello@albulayhi.comGitHubgithub.comLinkedInlinkedin.com