Cloud & DevOps Solutions
Cloud architecture, migration, and DevOps automation on AWS, Azure, and GCP — built for cost control and reliable deployment.
- Cloud spend reduced through architecture, not just housekeeping
- Environments reproducible from version-controlled code
- Deployments routine and reversible rather than stressful
- Observability in place before incidents happen
- AWS
- Azure
- Google Cloud
- Terraform
- Docker
- Kubernetes
- GitHub Actions
- Grafana
- 30-50%
- Typical cloud cost reduction
- IaC
- Every environment in code
- Tested
- Disaster recovery verified
What cloud & DevOps solutions covers
Cloud spending is easy to start and hard to control. Most organisations we audit are paying for capacity they do not use, in architectures assembled incrementally without anyone owning the overall design.
Cost is an architectural property
Cloud bills are shaped by decisions made at design time — instance sizing, storage classes, data transfer paths, managed versus self-hosted services. Tagging, budgets, and alerting matter, but the largest savings usually come from architecture rather than from housekeeping.
Infrastructure as code, without exception
Manually configured infrastructure cannot be reliably reproduced, reviewed, or recovered. Everything we build is defined in Terraform so environments are consistent, changes are reviewable, and disaster recovery is a documented procedure rather than an act of memory.
Deployment should be routine
If releasing is stressful, releases become rare, which makes each one larger and riskier. We build pipelines with automated testing, staged environments, and straightforward rollback so deploying is unremarkable.
Observability before incidents
Logging, metrics, tracing, and alerting are set up before you need them. The worst time to discover you have no visibility is during an outage, and alerting tuned to genuine user impact prevents the fatigue that makes teams ignore pages.
Where cloud & DevOps solutions makes the difference
The challenges we hear most often — and how we address each one.
Cloud bills keep rising
Right-sizing, reserved capacity, and clean-up of unused resources control cost.
Deployments are manual and risky
CI/CD pipelines make releases repeatable and reversible.
Outages are noticed by customers first
Monitoring and alerting surface issues before users do.
Infrastructure is undocumented
Infrastructure as code turns servers into reviewed, versioned configuration.
Our cloud & DevOps solutions services
Each service has its own page covering scope, process, deliverables, and pricing tiers.
Cloud Migration
Phased migration from on-premises or between cloud providers, with rollback plans and no big-bang cutover.
Learn moreKubernetes & Containerisation
Docker containerisation and Kubernetes orchestration for workloads where the operational complexity is genuinely justified.
Learn moreDevOps & CI/CD
Automated build, test, and deployment pipelines that make releasing routine rather than an event.
Learn moreGoogle Cloud Platform
GCP architecture for data, analytics, and machine learning workloads, plus Kubernetes on the platform that originated it.
Learn moreMicrosoft Azure Solutions
Azure architecture and migration, particularly where Microsoft identity, licensing, and hybrid infrastructure are already in place.
Learn moreAWS Cloud Solutions
AWS architecture, migration, and optimisation using managed services to reduce operational burden and cost.
Learn moreWhat we deliver
Key features and capabilities of our cloud & DevOps solutions work.
Cloud architecture & review
Design or audit against cost, reliability, and security objectives.
Infrastructure as code
Terraform-defined environments that are reviewable and reproducible.
CI/CD pipelines
Automated testing, staged deploys, and straightforward rollback.
Containerisation & orchestration
Docker and Kubernetes where the workload justifies it.
Monitoring & alerting
Metrics, logs, traces, and alerts tuned to real user impact.
Cost optimisation
Right-sizing, storage tiering, and commitment planning.
How the engagement runs
A clear sequence with a visible output at every step — so you always know where the project stands.
- 01
Discovery & scoping
We map requirements, users, integrations, and constraints, then agree scope and a fixed quote before work starts.
- 02
Architecture & design
Technical architecture and user flows are agreed and prototyped before implementation begins.
- 03
Build & review
Development in reviewable increments, with a staging environment you can see and comment on throughout.
- 04
Launch & support
Performance and security checks, documented handover, deployment, and an agreed support window after go-live.
Technologies & tools
Chosen per project for fit, maintainability, and your existing stack.
- AWS
- Azure
- Google Cloud
- Terraform
- Docker
- Kubernetes
- GitHub Actions
- Grafana
Industry applications
Sectors where we most often apply this service.
- E-Commerce & Retail
- SaaS & Technology
- Healthcare
- Real Estate
- Finance & FinTech
- Education
- Travel & Hospitality
- Professional Services
What's included at each level
Every engagement is scoped to your needs; these tiers show how scope typically grows.
| What's included | Starter | Growth | Enterprise |
|---|---|---|---|
| Architecture review & roadmap | Included | Included | Included |
| Infrastructure as code setup | Included | Included | Included |
| CI/CD pipeline build | Included | Included | Included |
| Monitoring & alerting | Not included | Included | Included |
| Kubernetes orchestration | Not included | Included | Included |
| Cost optimisation programme | Not included | Not included | Included |
| On-call support & SLA | Not included | Not included | Included |
Cloud & DevOps Solutions: common questions
Which cloud provider should we use?
Usually the one your team already knows. Capability differences between AWS, Azure, and GCP matter far less than operational familiarity. Azure often wins where Microsoft licensing and identity are already in place; GCP is strong for data and ML workloads.
How much can we save on cloud costs?
Reductions of thirty to fifty percent are common in environments that grew without architectural ownership, mostly from right-sizing, storage tiering, and eliminating idle resources. We quantify this in the audit before proposing work.
Do we need Kubernetes?
Frequently not. Kubernetes solves real problems at scale but adds substantial operational overhead. For a handful of services, managed container platforms are simpler and cheaper to run. We recommend it only when the complexity is justified.
Can you work with our existing infrastructure?
Yes. Most engagements begin with infrastructure that already exists. We audit, document, bring it under infrastructure as code incrementally, and improve it without a disruptive rebuild.
Explore related services
Ready to talk about cloud & DevOps solutions?
Tell us what you need. We reply within one business day with questions or a call slot — and a fixed, written proposal after.