Engineering capabilities
- VPC and subnet design
- Instance sizing and placement
- Managed service selection
- Cost-aware architecture
Cloud & Virtualization
Workload placement, network boundaries and access control on AWS, sized to measured demand.
Accounts, network boundaries and identity are laid out before workloads land, so growth does not turn into an unreviewable sprawl of resources.
Separate accounts for production and non-production; humans use roles, not long-lived keys.
TLS terminated at the edge, rate limiting and managed rule groups applied before traffic reaches compute.
Only load balancers and bastions are public; everything else egresses through NAT or private endpoints.
Instances sized from measured load, storage encrypted with KMS, multi-AZ where the RTO requires it.
Audit trail retained centrally; backups and cost alerts configured at build time, not after the first surprise.
Right-sizing from measured utilisation, scheduled shutdown of non-production, S3 lifecycle rules, and budget alarms wired to email before spend becomes a monthly discovery.
Multi-AZ is the default for anything with a real RTO. Multi-region is only worth its complexity and cost when the business genuinely cannot tolerate a regional outage.
Federated sign-in with MFA, permissions granted through roles scoped per environment, and no shared root or static access keys in application code.
Yes. Discovery maps dependencies and licensing, replication runs ahead of the window, and cutover follows a rehearsed runbook with documented rollback.
Send the environment details and get an engineered proposal with assumptions, risks and a rollback path.