Infrastructure
Cloud, DevOps & Data Infrastructure
Infrastructure that stays fast, secure and affordable as you grow.
What’s included
- Cloud architecture on AWS and Google Cloud
- Database design, tuning and management
- Deployment pipelines and environment management
- Containerisation with Docker
- Monitoring, logging and alerting
- Backups and disaster recovery
Overview
Why it matters
We design and run the infrastructure behind websites, applications and data: cloud architecture, databases, deployment pipelines, monitoring and backups. The aim is simple — systems that stay up, scale when needed and do not surprise you on the monthly bill.
We work across AWS, Google Cloud and Firebase and with platforms such as Vercel and Supabase, and we containerise workloads with Docker when portability or on-premise deployment matters. Security is part of the design: least-privilege access, encrypted data, managed secrets and documented recovery.
Who it’s for
- Products moving from a single server to a scalable set-up
- Teams without in-house DevOps
- Businesses with slow or unreliable applications
- Organisations whose data must stay in a region or on-premise
What you get
Deliverables, not vague promises
- 01
Infrastructure review
Current architecture, risks, costs and a prioritised plan.
- 02
Target architecture
Environments, networking, data and security design.
- 03
Implementation
Infrastructure, pipelines and migrations with minimal downtime.
- 04
Operations runbook
Monitoring, alerts, backups and incident procedures.
- 05
Ongoing support
Maintenance, patching and capacity planning.
How we work
How the work is delivered
- 01
Review
Architecture, costs, risks and recovery readiness.
- 02
Design
The target set-up and a migration path to reach it.
- 03
Migrate
Changes rolled out in stages with rollback plans.
- 04
Operate
Monitoring, backups, patching and cost reviews.
Technology and platforms
- AWS
- Google Cloud
- Firebase
- Vercel
- Supabase
- Docker
- PostgreSQL
- MySQL
- MongoDB
- Redis
FAQ
Questions clients ask first
Which cloud provider should we use?
It depends on your existing tools, team skills, data-location requirements and budget. We recommend after a short review rather than by default.
Can you reduce our cloud costs?
Often, yes — by right-sizing resources, removing unused services and choosing the right managed services. Cost review is part of every infrastructure engagement.
Do you support on-premise deployments?
Yes, particularly for AI workloads that must stay inside your network. We package services with Docker for portable deployment.
Let’s talk about your project.
Share the goal, the current state and any constraints. We’ll reply with questions and a proposed approach.