Technology
AWS Development & Consulting Services — Cloud-Native Engineering at Scale
AWS architecture, migration, and platform engineering — multi-account governance, well-architected workloads, Terraform IaC, and the operational discipline production demands.
What we build with AWS
- Multi-account governance with AWS Organizations, Control Tower, IAM Identity Center, and SCPs
- Landing zone design with baseline IAM, networking, logging, and security guardrails
- Compute: EC2, ECS / Fargate, EKS, Lambda — picked per workload, not per ideology
- Networking: VPC, Transit Gateway, PrivateLink, Route 53, CloudFront, and hybrid connectivity
- Data services: RDS, Aurora, DynamoDB, S3, Redshift, OpenSearch, Timestream
- Security: IAM least-privilege, KMS, GuardDuty, Security Hub, Inspector, Macie, and CMK-everywhere
- Compliance: SOC 2, HIPAA, PCI, ISO 27001, FedRAMP-aware controls
- Infrastructure as code with Terraform (multi-cloud), CDK, or CloudFormation / SAM
- FinOps: right-sizing, Savings Plans, Spot strategy, Graviton migration, S3 lifecycle tiering
- AI / ML on AWS: Bedrock (Anthropic, Cohere, Meta), SageMaker, and managed vector stores
- Observability with CloudWatch, OpenTelemetry, X-Ray, and Container Insights
- Disaster recovery patterns: pilot light, warm standby, and multi-region active-active where justified
- CI/CD with GitHub Actions, CodePipeline, or GitLab — OIDC into AWS, no static credentials
- Migration patterns: lift-and-shift, re-platform, and re-architect — risk-managed cutover plans
Why DiveScale
Built by engineers who ship AWS in production
DiveScale is an AWS-native engineering team. We architect, migrate, and operate workloads with the well-architected discipline — operational excellence, security, reliability, performance, sustainability, and cost — built into every decision, not bolted on at audit time.
We standardize on Infrastructure as Code from day one. Terraform for multi-cloud and most production estates; CDK / CloudFormation / SAM for AWS-only patterns where they fit. Never click-ops, never untracked. Drift gets detected before it becomes an incident.
Our multi-account governance approach starts with AWS Organizations, Control Tower, IAM Identity Center, and SCPs. Baseline stacks (networking, logging, security baselines) deploy via StackSets driven by OUs, with auto-deploy on new accounts. Workloads land in their own accounts with clear blast-radius limits.
We keep the AWS bill in check. Right-sized instances, Savings Plans and Spot strategy, ARM / Graviton migration where compatible, S3 lifecycle tiering, idle-resource reaping, and observability that makes cost a per-service line item — not a quarterly surprise. We share monthly FinOps reports during engagements.
On the AI side, AWS Bedrock is now first-class for production AI workloads — Anthropic Claude, Cohere, Meta Llama, and others available with HIPAA-eligible and SOC 2-aligned configurations. We deploy production Bedrock integrations end to end, with the IAM scoping and VPC isolation regulated workloads require.
And we are honest about migrations. Lift-and-shift is rarely the right end state — but it can be the right intermediate step. We propose the staged migration plan (often lift, then re-platform, then re-architect) that lands business value early without committing to a multi-year rewrite up front.
AWS use cases we deliver
How we deliver
Our AWS delivery process
- 01
Audit & landing zone
Assess current AWS estate, design the target landing zone, and lay multi-account governance with Organizations, Control Tower, IAM Identity Center, and SCPs.
- 02
IaC the foundation
Terraform or CDK for everything — networking, IAM, baseline services. CI/CD wired with OIDC into AWS before any workload moves.
- 03
Migrate or build
Risk-managed cutover plans, blue / green deployments, and explicit rollback paths for every change. Workloads move (or get built) incrementally.
- 04
Harden + observe
Security Hub baselines, GuardDuty, Inspector, OpenTelemetry traces, CloudWatch alarms wired to on-call, and runbooks documented before launch.
- 05
Optimize cost
Right-sizing review, Savings Plans, Spot, Graviton migration, and S3 lifecycle tiering — with monthly FinOps reports.
- 06
Operate or hand off
Ongoing platform engineering with on-call, or hand off to your team with runbooks, IaC, and observability they can extend.
Related technologies
Amazon EC2
EC2 architecture, AMI pipelines, Auto Scaling, Spot/Graviton optimization, and the operational layer production compute requires.
Learn moreAmazon EKS
EKS cluster engineering — IAM Roles for Service Accounts, autoscaling with Karpenter, GitOps with Argo CD, and the observability stack production Kubernetes demands.
Learn moreAWS Lambda
Lambda function design, optimization, and operations — cold-start mitigation, IAM scoping, observability, and the architectures where serverless wins.
Learn moreTerraform
Terraform engineering — module design, state strategy, multi-account governance, policy-as-code, drift detection, and CI-driven plan / apply for multi-cloud estates.
Learn moreAWS — Frequently Asked Questions
Yes — DiveScale operates as an AWS partner-aligned engineering team. We have shipped production AWS workloads across regulated industries (healthcare, fintech, hospitality, veterinary) and routinely run well-architected reviews.

