Boring beats clever
The best platform is the one nobody has to think about. We choose well understood tools with a long support horizon over whatever launched last quarter, unless the new thing genuinely solves a problem you have.
About
Infrastructure, platforms and practical AI.
VibeNWise's core team brings over two decades of combined experience in enterprise infrastructure, with a track record built in mission-critical environments where downtime carries direct financial consequences. We bring proven, disciplined practices — not experimentation — to every engagement.
At a glance
Experience
25+ years in production
Core practices
Cloud, platform, AI infrastructure
How we work
Remote first, across time zones
Engagements
Assessment, project, retainer
Handover
Code, runbooks and pairing
How we think
Four principles we do not bend on.
They sound obvious written down. Holding to them under deadline pressure is the part that takes experience.
If it is not in git, it does not exist
Infrastructure, configuration, policies and dashboards all live as code with review and history. Rebuilding an environment should be a command, not an archaeology project.
Measure before you change
Optimisation without a baseline is guesswork with a budget. We instrument first, so the improvement can be shown rather than asserted.
Leave the team stronger
Every engagement ends with your engineers able to run what we built. Documentation, pairing and honest handover are part of the work, not an afterthought.
Track record
Twenty five years, one direction.
From keeping Linux estates alive to designing the platforms and AI systems that run on top of them.
FOUNDATION
Linux and systems engineering
Running production Linux at scale: performance tuning, patching, storage, networking and the incident work that teaches you what actually breaks.
SCALE
Cloud and automation
Moving estates to AWS and Oracle Cloud, replacing manual provisioning with Terraform and Ansible, and putting delivery behind pipelines instead of change tickets.
PLATFORM
Kubernetes and developer experience
Designing container platforms and GitOps delivery so product teams can ship independently, with guardrails that hold without slowing anybody down.
NOW
AI ready infrastructure
Private model serving, retrieval over internal knowledge and agent workflows, built with the same reliability and security expectations as everything else in the estate.
The lab
What we are testing right now.
We keep a working lab so that recommendations come from things we have actually run, not from vendor documentation.
Local LLM serving
Running open weight models on modest hardware and measuring what quality you really give up compared to hosted APIs.
Retrieval pipelines
Chunking, embedding and permission aware retrieval over messy internal documents, with evaluation rather than vibes.
Agentic workflows
Agents that touch real systems, sandboxed properly, with approval gates and a full audit trail of every action taken.
Kubernetes at small scale
How lean a cluster can be before the operational cost outweighs the benefit, and when a plain virtual machine is still the right answer.
Cost engineering
Tracking where cloud spend actually goes, and which right sizing moves survive contact with a production workload.
Supply chain security
Signed images, provenance and dependency scanning wired into pipelines without turning every build into a wait.
Available for consulting.
Architecture reviews, infrastructure assessments, automation projects and cloud transformation work. Start with a conversation, no obligation attached.