AWS development services β cloud-native builds, migrations, cost optimization & landing zones by engineers who treat your AWS bill as a requirement.
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# AWS Development Services AWS is the default cloud for a reason β the broadest service catalog, the deepest talent pool, and the most battle-tested platform for everything from a startup's first deploy to a bank's regulated workloads β and its defining risk is the same breadth: two hundred services, most of which you shouldn't use, billed by the hour whether chosen wisely or not. Clickmasters provides AWS development, migration, and cost engineering for US companies β with the discipline the platform rewards: boring service choices, everything as code, and the bill treated as an engineering requirement from day one. Our AWS philosophy fits in three sentences. Managed over self-hosted β RDS over your own Postgres boxes, ECS/Fargate over Kubernetes you don't need yet, because operational load is the real cost. Everything in Terraform, because lock-in to your consultant is a worse disease than lock-in to your cloud. Everything else on this page is those three sentences, applied. [Trust bar: AWS workloads delivered Β· partner-tier badges (if real) Β· cost savings delivered]
Cloud-native application builds](/services/cloud-application-development β new systems designed for the platform: the pragmatic core stack (ECS/Fargate, RDS/Aurora, S3, SQS, CloudFront) that covers 90% of business workloads without exotic-service debt
Migrations](/services/cloud-migration β on-prem and datacenter estates moved via [the right R per workload](/resources/cloud-devops/cloud-migration-6rs/), staged with rollback, the business running throughout
**Serverless architectures** β [Lambda where the workload shape pays](/resources/cloud-devops/serverless-lambda-patterns/): spiky, event-driven, glue β and honest redirection where it doesn't
**Landing zones & foundations** β multi-account structure, [IAM least-privilege](/resources/cloud-devops/cloud-security-baseline/), network baseline, logging β the boring groundwork that makes every subsequent build faster and every audit shorter
Cost optimization](/resources/cloud-devops/cloud-cost-optimization β the first-pass 20β35%: right-sizing, commitment strategy, storage lifecycle, the idle-resource graveyard β quantified in the assessment before you commit to anything
**Compliance-scoped AWS** β [HIPAA-eligible architectures](/resources/security-compliance/hipaa-software-development-checklist/), SOC 2 evidence trails, [DR that's actually tested](/resources/cloud-devops/disaster-recovery-rto-rpo/) β the [regulated-industry patterns](/industries/healthcare/) with the paperwork your auditors expect
**AWS for AI workloads** β Bedrock-and-beyond [LLM infrastructure](/services/ai-application-development/), vector stores, GPU-touching pipelines with [cost controls before the first big invoice](/resources/ai-development/ai-cost-optimization/)
AWS regret is almost always a bill, so cost discipline is structural here: forecast before build (projected monthly run cost per environment, in the proposal) Β· architecture chooses the bill (autoscaling, spot/reserved strategy, storage tiers designed in) Β· visibility from day one (tagging standards, per-feature cost dashboards, budget alerts that fire before finance does) Β· and the standing audit for existing estates, where the first pass typically recovers 20β35% and pays for itself inside the quarter. We'll happily be hired for the audit alone; it's the cheapest way to evaluate us.
** 2β3 case studies: migration scope with downtime record, cost before/after, availability achieved β verifiable]**
Architecture consultation (fixed fee) Β· project builds Β· DevOps-as-a-service for ongoing operation Β· AWS engineer staffing.
Microsoft-shaped org (365, Entra, .NET estate): Azure's licensing and identity gravity usually wins the math. Everyone else: AWS's breadth and hiring pool is the sound default. Multi-cloud on purpose: rarely; by accident: never. The comparison β
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