AWS powers the majority of the world's largest D2C brands — and for good reason. Its breadth of services, global infrastructure, and best-in-class DevOps tooling make it the most capable cloud platform for D2C ecommerce. Scale D2C architects, migrates, and manages AWS environments built specifically for D2C operational needs.
AWS's unmatched service breadth — from managed databases and serverless compute to ML inference and content delivery — makes it the most capable platform for D2C brands building sophisticated digital infrastructure.
AWS CloudFront delivering product images, storefront assets, and API responses globally — sub-50ms from every major D2C market.
Elastic Container Service or Kubernetes auto-scaling handling 100x Black Friday traffic spikes without pre-provisioning.
Amazon Aurora for relational D2C data and DynamoDB for high-throughput product catalogue and session data.
AWS Lambda for event-driven D2C operations — webhook processing, image resizing, and scheduled jobs without server management.
SageMaker model training, deployment, and monitoring for D2C ML use cases like recommendation engines and demand forecasting.
Reserved instances, Savings Plans, and architectural rightsizing reducing AWS spend by 30–50% vs unoptimised deployments.
Full AWS services for D2C brands — from architecture design and migration through managed operations and cost optimisation.
Well-Architected Framework review and AWS solution design for your D2C infrastructure requirements.
Lift-and-shift and re-architecture migrations from on-premise or Azure/GCP to AWS.
Docker container orchestration on ECS or EKS with auto-scaling and blue-green deployment.
Lambda, API Gateway, and Step Functions architecture for cost-efficient, zero-management D2C operations.
SageMaker model training pipelines and inference endpoints for D2C recommendation and forecasting models.
Cost analysis, reserved instance purchasing, and architectural optimisation reducing AWS spend.
Business requirements gathering, technology selection, and solution architecture design reviewed by your team.
Iterative development with weekly sprint demos, code review, and automated testing throughout.
End-to-end testing, UAT with your team, and full integration with existing Microsoft and D2C systems.
Production deployment, user training, documentation, and ongoing support and optimisation.
AWS is generally preferred for D2C brands without a strong Microsoft tooling dependency — it has the broadest service catalogue, strongest DevOps ecosystem, and deepest ML/AI capabilities. Azure is preferable if you're heavily invested in Microsoft 365, Power BI, or .NET. Scale D2C recommends based on your existing tools, not platform preference.
The core D2C AWS stack typically includes: CloudFront (CDN), S3 (media storage), Aurora/RDS (relational database), ElastiCache/Redis (caching), ECS or Lambda (compute), SQS (queuing for order processing), and SageMaker (ML). The exact combination depends on your platform and scale.
Build the AWS foundation your D2C brand needs to scale reliably. Scale D2C designs AWS architectures that perform under pressure and cost-optimise continuously.