Cloud Engineering
Architecture, migration and operations on Azure, AWS, Google Cloud, Oracle Cloud and IBM Cloud, designed for resilience and cost you can explain.
Overview
We work across Microsoft Azure, Amazon Web Services, Google Cloud Platform, Oracle Cloud Infrastructure and IBM Cloud. The right platform depends on your existing contracts, regulatory position, skills and workloads, and we will say so plainly.
Good cloud engineering is mostly about decisions made early: network layout, identity, environment boundaries, how infrastructure is defined and who can change it. We get those right first, then build on them.
Migration is planned workload by workload, with rollback paths and clear success criteria. Afterwards we help you understand what you are paying for and where it can be reduced without hurting reliability.
Problems we address
- Cloud bills that grow faster than usage and no one can explain
- Environments built by hand that cannot be reproduced
- Single-region or single-instance systems with no tested recovery plan
- Public endpoints where private connectivity should be used
- Inconsistent tagging, naming and access across subscriptions or accounts
What we deliver
- Cloud architecture
- Landing zones, environment strategy and reference architectures matched to your workloads.
- Migration planning and delivery
- Discovery, dependency mapping, wave planning and cut-over with rollback.
- Infrastructure as code
- Repeatable environments defined in version control and applied through pipelines.
- Networking and private connectivity
- Virtual networks, private endpoints, peering, DNS and controlled egress.
- Resilience and disaster recovery
- Availability design, backup strategy and recovery runbooks that are actually rehearsed.
- Cost management and governance
- Right-sizing, reservations guidance, tagging policy, budgets and access reviews.
- Cloud observability
- Metrics, logs and alerts that point at causes rather than producing noise.
Technology
Typical tools for this work. We choose per engagement; listing is not a claim of vendor partnership.
- Microsoft Azure
- Amazon Web Services
- Google Cloud Platform
- Oracle Cloud Infrastructure
- IBM Cloud
- Terraform
- Ansible
Example use cases
Illustrations of the kind of work this covers.
- Moving on-premises applications to a managed cloud platform in planned stages
- Standing up separate development, test and production environments from code
- Replacing public database endpoints with private connectivity
- A cost review that turns a monthly invoice into an understood, owned budget
Relevant industries: E-commerce, Manufacturing and Industrial
Delivery approach
Discover
Understand the business goal, the systems in place and the constraints: budget, compliance, skills and timelines.
Design
Agree an architecture and delivery plan, with the trade-offs written down and the risks named early.
Build
Deliver in small, reviewed increments with automated tests, infrastructure as code and regular demonstrations.
Launch
Release through pipelines with monitoring, rollback paths and runbooks in place before go-live.
Operate and improve
Run, measure and refine, or hand over fully documented to your own team.
Related services
- DevOps and Platform EngineeringCI/CD, GitOps, Kubernetes, OpenShift and service mesh engineering that makes releases routine and environments consistent.
- Network and Cybersecurity EngineeringSecure network design, identity, TLS, container and Kubernetes security, built into infrastructure rather than bolted on.
- Managed Engineering and Technical OperationsOngoing engineering support for the platforms and applications you depend on, scoped to what you actually need.
Talk to us about cloud
Share the problem, the systems involved and your timeline. An engineer will reply to discuss scope and next steps.
Request a consultation