DevOps & Cloud Engineering
CI/CD, infrastructure as code and cloud architecture, with observability that catches problems first.
The goal of DevOps work is boring deployments. We set up pipelines where shipping is routine, infrastructure defined as code so environments are reproducible rather than archaeological, and observability that tells you something is wrong before a customer does. Where cost is the problem, we start by measuring where it actually goes — the answer is usually three resources nobody remembers provisioning rather than the thing everyone assumes.
Audit what is actually deployed
Codify the infrastructure
Automate the deployment path
Instrument before optimising
Document the runbook
AI Agents & Machine Learning
Production AI agents, RAG pipelines and LLM integrations — multi-agent systems built to run unattended.
Read moreWorkflow Automation & Integrations
n8n, Temporal and custom workflows that connect your systems and keep running when something upstream breaks.
Read moreWeb Application Development
React and Next.js applications built to stay fast and maintainable long after launch.
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