
Mathias Herzog
Infrastructure engineer & platform architect
We are a specialised engineering and architecture team for cloud native platforms — pragmatic, technically grounded, and close to operational reality.

Infrastructure engineer & platform architect

Software & Cloud Native engineering

Solution architect

Cloud Native engineer

Platform engineer

DevOps & software architecture
We help IT departments build stable, secure, and future-ready platforms. At the centre are pragmatic decisions, technical depth, and architectures that can evolve over years — independent of individual vendors or products.
Engineers talking directly to engineers — no translation layer, with short reaction times.
We challenge assumptions openly before they become platform reality.
Architecture grows in small, verifiable steps — not as a single big bang.
We decide based on data, experiments and reproducible setups.
We build knowledge inside the customer team — so solutions hold up without us.
ADRs, runbooks and checklists that genuinely help in operations.
Cloud native is not a trend for us, it's the dependable basis of modern platforms — open, automated, and load-bearing for the long run.
We deliberately rely on open standards and established open-source technologies — without proprietary lock-in.
We prefer solutions that work — over those that only look good on paper.
We work transparently, traceably, and without surprises.
We don't build anything we couldn't operate ourselves.
We share knowledge, raise problems clearly, and recommend what really makes sense.
We are actively involved in the (Swiss) cloud native ecosystem.
Sharing knowledge is part of who we are. We actively contribute to events, meetups, and open-source projects.
This engagement keeps us close to current developments — and gives us valuable insight into the challenges different teams and industries face.
If you'd like to get to know Peak Scale, we're happy to give you a look at how we work, decide, and approach typical engagements — informally, with no classic sales process.