Behind the Beats

Before AI. Before DevOps. There was experimentation.

Between 2001 and 2011, I spent countless nights in front of SoundForge and Sony Vegas — cutting audio, looping fragments, stretching textures beyond their natural limits. I had no formal training. No synthesizers. No roadmap.

I didn't think of it as music.
I was simply shaping sound.

At the time, producing electronic music properly required tools and knowledge that felt out of reach. So I worked with what I had: curiosity, repetition, and a pair of ears that were always searching.

Life eventually redirected me toward systems.

I moved to Germany and became a DevOps & Multi-Cloud engineer, building infrastructure across AWS and Azure. Automation, scalability, reliability — these became my new instruments. I learned to design systems the way I once edited sound: iteratively, precisely, patiently.

But something stayed constant.

The ears never stopped listening.

Years later, a personal hearing challenge reshaped my relationship with sound. Silence was no longer neutral. Awareness became sharper. Listening became intentional.

Around the same time, AI music tools emerged.

For the first time, the engineer and the experimenter could truly collaborate.

I began learning Ableton Live — not casually, but structurally. And I discovered something humbling: learning music production is not easier than learning programming. Both demand discipline. Both require iteration. Both expose your limitations before they reward your persistence.

The journey is long.

AI did not remove that journey.
It accelerated ideation.
It expanded the canvas.

CloudBeats AI was born at the intersection of structured infrastructure and structured sound — where cloud architecture meets sonic architecture.

This is not a comeback.
This is coming home to sound, through the cloud.

— Omar Khouja · Hamburg, 2026