Cloud Infrastructure Design & Management

AWS is the default choice for most products due to its service breadth, mature tooling, and talent availability. GCP is a strong pick when BigQuery or Vertex AI are central to your product. Azure makes sense if your organisation already relies on Microsoft services. We are provider-agnostic and will recommend based on your workload, not our preference.

We use Terraform for multi-cloud consistency and AWS CDK when TypeScript-native infrastructure is preferred. All resources are defined declaratively, stored in git, and applied through CI pipelines with plan review steps. This means no manual clicks in the console and a full audit trail of every change.

Security is applied at every layer. We enforce least-privilege IAM, encrypt data at rest and in transit, isolate workloads in private subnets, and enable CloudTrail or equivalent audit logging. We run automated security scans with tools like Checkov against the IaC codebase and perform periodic access reviews.

Yes — cloud cost optimisation is one of the highest-ROI engagements we do. We analyse your usage with AWS Cost Explorer, identify idle or over-provisioned resources, recommend Savings Plans or Reserved Instances, and implement auto-scaling so you pay for capacity only when you need it. Clients typically see 20–40% reductions.

We design for failure by distributing workloads across multiple availability zones, implementing health checks and auto-recovery, using managed services (RDS Multi-AZ, ECS, ALB) where possible, and setting recovery time objectives before the architecture is finalised. We also run chaos engineering exercises to validate assumptions.

Yes. We define RPO and RTO targets with you, then design backup and replication strategies to meet them. This typically includes automated database snapshots, cross-region replication for critical data, and tested restore runbooks. We document the recovery process and run periodic drills so it works when you actually need it.

We provision separate environments (development, staging, production) using the same IaC modules with different variable files. This ensures staging mirrors production closely enough to catch environment-specific bugs. Promotion between environments is gated through the CI/CD pipeline, not manual deployments.

Yes. We handle migrations from bare-metal servers, shared hosting, Heroku, Render, and other cloud providers. The process includes a pre-migration audit, a parallel-run period where both environments handle traffic, cutover with a DNS-level rollback plan, and post-migration validation before decommissioning the old infrastructure.

We offer managed infrastructure retainers covering monitoring, patching, capacity planning, incident response, and quarterly optimisation reviews. Alternatively, we can hand off a well-documented infrastructure with runbooks to your internal team. Most clients start with managed support and transition ownership as their team grows.

We have experience implementing controls for SOC 2 Type II, HIPAA, GDPR, and PCI DSS. This includes encryption requirements, access logging, data residency constraints, and audit trail preservation. We work alongside your compliance team or auditors to produce the evidence artefacts they need.

A standard production environment — VPC, compute, database, CI/CD, monitoring — takes 2–4 weeks. Complex setups with multi-region replication, compliance requirements, or large data workloads take 6–10 weeks. We provide a scoped timeline after reviewing your architecture requirements and compliance obligations.

All infrastructure we deliver includes runbooks, on-call escalation paths, and documented recovery procedures. If you are on a managed retainer, we are on-call and respond within the agreed SLA. If you have taken full ownership, we offer a break-glass support arrangement — a fixed-price incident response engagement for teams that need occasional expert help.