Service
Cloud & DevOps
Infrastructure, pipelines and observability that make releasing software unremarkable.
What this service is
DevOps here means the automation and infrastructure around an application: how it is built, tested, deployed, configured per environment, and observed once running. The measurable outcome is that a change can go to production safely, on an ordinary afternoon, without a coordinated event.
The problem
What usually brings people here
Releases are events
Deployment is manual, takes hours and happens out of office time because it is risky.
Environments differ
It works in staging and fails in production, because the two were configured by hand at different times.
Nobody notices failures first
Customers report outages before monitoring does, because there is no meaningful alerting.
Unpredictable cloud spend
The bill grows and nobody can attribute it to anything specific.
Capabilities
What we do
- CI/CD pipeline design and implementation
- Containerisation with Docker
- Container orchestration and Kubernetes manifests
- Infrastructure configuration and environment parity
- Azure and cloud hosting setup
- Monitoring, logging and alerting
- Secrets and configuration management
- Backup, recovery and cost review
Use cases
Typical engagements
First real pipeline
A team deploying by hand moved onto automated build, test and release with environment promotion.
Containerising an existing application
Packaging an app so it runs identically across local, staging and production.
Observability retrofit
Logging, metrics and alerting added to a system currently running blind.
Delivery
How the work runs
- 01
Discovery & requirements
We map how the work actually flows today — the systems, the spreadsheets, the manual handoffs — and agree what success looks like in measurable terms.
- 02
Solution architecture
Data model, service boundaries, integration points and hosting. You get the shape of the system before anyone writes production code.
- 03
UX & technical design
Screens and flows for the people who will use it daily, reviewed against the architecture so the design is buildable as drawn.
- 04
Development & integration
Built in increments you can see and use. Integrations are wired early, because that is where most projects actually go wrong.
- 05
Testing & quality assurance
Automated tests around the logic that matters, plus migration rehearsals against real data shapes before anything goes near production.
- 06
Deployment & onboarding
Release pipeline, environment configuration, data migration and training for the teams who have to live with the system.
- 07
Support & continuous improvement
Monitoring, fixes and the next increment. Software that is used changes; the engagement allows for that.
Technology
What we build with
Backend & APIs
- Java 21
- Spring Boot 3
- Spring Cloud Gateway
- Spring Security
- Python
- REST & webhook APIs
Frontend
- React 19
- Next.js
- TypeScript
- Vite
- Tailwind CSS
Data
- PostgreSQL
- MongoDB
- Redis
- Flyway
- JPA
- Database-per-service
Messaging & storage
- Kafka / Redpanda
- Event streaming
- MinIO & object storage
- Dead-letter queues
Cloud & DevOps
- Azure
- Docker & Compose
- Kubernetes manifests
- GitHub Actions CI
- Static & container hosting
AI & automation
- LLM integration
- Retrieval over business data
- Document extraction
- Workflow orchestration
- Local & cloud inference
Before you commit
What to weigh up
Match the infrastructure to the team that has to operate it. Kubernetes is the right answer far less often than it is chosen; a container service or static hosting is frequently sufficient and much cheaper to run. Set up alerting at the same time as deployment, not after the first incident.
Questions
Frequently asked
- Do we need Kubernetes?
- Usually not. It earns its operational cost at meaningful scale or with many services. Below that, a managed container service or static hosting does the job with a fraction of the complexity.
- Can you work with our existing cloud account?
- Yes. We work in your account, under your billing and access control, so there is no dependency on us holding the infrastructure.
- How long does a CI/CD setup take?
- A working build-test-deploy pipeline for a single application is typically days. Multi-service estates with compliance requirements take longer, mostly in access control and environment design.
- What about security?
- Secrets kept out of source and injected at deploy time, least-privilege access, dependency scanning in the pipeline, and TLS and security headers as defaults rather than additions.
Related
You may also need
SaaS Product Development
Multi-tenant product engineering: architecture, build and the operational groundwork a SaaS needs to scale.
Legacy Modernisation
Moving ageing applications onto a maintainable stack without stopping the business that depends on them.
API & System Integration
Connecting the systems you already run so data moves between them reliably instead of by spreadsheet.
Talk to us about Cloud & DevOps
Tell us what you want to build, automate or improve, and we'll help you identify the right technical approach.