Your AI roadmap will fail on the platform you already have.

I find the platform failures that kill AI rollouts, cloud budgets, and system reliability. Before they cost you money, incidents, or trust.

£50K/mo

cloud waste removed

20k → 80k

req/s stabilised

59% → 96%

AI accuracy in prod

Why your platform will fail2 min

Trusted by teams at

Sound familiar?

These are the patterns I see in every failing platform.

Platform buckling under traffic spikes

Cloud bill climbing with no clear cause

AI works in notebooks, breaks in production

Same incidents, different root causes, every sprint

Dashboards green, customers still down

Scaling makes things worse, not better

Who you work with

Senna Semakula

Founder, Atruvo. Senior Platform and AI Engineer.

I have spent over a decade inside production systems that were failing under load, bleeding cloud spend, or not ready for AI. I have fixed observability platforms costing £50K/month, scaled systems from 20k to 80k req/s, and built AI pipelines that actually work outside of notebooks. When you engage Atruvo, you get me directly. Not a project manager. Not a junior consultant. The person who has already seen your problem before.

10+ years fixing production platforms at scale
Retail, fintech, banking, media, telecoms
AWS, Azure, GCP, Kubernetes, Kafka, Prometheus
You work directly with me. No juniors. No handoffs.

Hard truths about your systems

Short takes on the problems I see in every engagement.

All insights

Platform

Your platform is already failing. You just can't see it.

The patterns that silently kill systems under load. Architecture, not capacity.

Your AI project will fail in production. Here's why.

The model works in a notebook. It fails in production. Here's the gap.

Cloud

You're wasting 30% of your cloud spend.

Most companies don't know where the waste is. I show you exactly where.

SRE

Your observability is lying to you.

Green dashboards, red customers. The gaps hiding real failures.

Platform

Scaling your platform is making it worse.

More instances won't fix broken architecture. Here's what will.

What I fix

All services

Platform Engineering

Systems failing under load. Architecture holding you back.

20k → 80k req/s

Cloud & Infrastructure

Cloud spend growing. No one knows where the waste is.

£50K/mo removed

SRE & Observability

Green dashboards. Red customers. Blind spots everywhere.

28 issues found pre-outage

AI Systems Integration

AI works in dev. Fails in production. Platform not ready.

59% → 96% accuracy

Data Engineering

Pipelines taking hours. Decisions delayed. Data stale.

1hr → 20min pipelines

DevOps & Automation

Every deploy is a risk. Releases cause incidents.

Safer, faster deploys

You already know something is wrong.
Let's find exactly what.

Bring your architecture diagram, cloud bill, or last incident summary. I will tell you what is actually breaking.

30 minutes. No pitch. Ranked risks and a clear next step.