AWS & cloud infrastructure we use
We architect AWS, GCP, and Azure solutions that are scalable, secure, and cost-optimised — using managed services where they add value, not because they're trendy.
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✓ estimate en route
const services = [ // AWS services in our stack
AWS services in our stack
Managed compute for long-running services and containers.
Serverless functions for event-driven and API workloads.
Managed PostgreSQL and MySQL with automated backups.
Object storage with global CDN for static assets.
DNS management and free SSL certificates.
Managed Kubernetes and serverless containers.
// how we architect on AWS
Cloud architecture patterns
Active-active and active-passive failover configurations across regions.
ECS service auto-scaling and EC2 target tracking policies tuned to real load.
VPC isolation, IAM least-privilege, and GuardDuty on every account.
Reserved instances, Savings Plans, and spot instance usage where it's safe.
Metrics, logs, alarms, and dashboard setup so issues surface before customers do.
Cross-region backup and documented RTO/RPO playbooks, tested not just written.
import { matrix } from "@dww/aws" // our AWS service matrix
AWS service matrix
// stack-aws.faq.md
AWS for most projects — widest managed service selection and mature ecosystem. GCP for ML-heavy workloads. Azure for Microsoft-integrated enterprises.
Yes — lift-and-shift to EC2, re-platform to ECS/RDS, or re-architect to serverless. We scope the right approach per workload.
Yes — we set up Cost Explorer alerts, right-size instances monthly, and identify Reserved Instance opportunities.
Yes — EKS with managed node groups, Helm charts, and autoscaler. Or ECS Fargate if K8s overhead isn't justified.
$ ./contact --cloud-review
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