AWS development company
We design, build and migrate products on Amazon Web Services: serverless APIs on Lambda, containers on ECS Fargate, data in Aurora or DynamoDB, all defined in AWS CDK or Terraform so every change is reviewable and repeatable.
- Senior engineers · IST + EST overlap
- NDA on day 1
- 24-hour reply
- Projects shipped
- 50+
- Code ownership
- 100%
- Client rating
- 4.8/5
- First reply
- 24h
Production AWS architecture, defined in code from day one
Krapton is an AWS development company that builds, migrates and runs products on Amazon Web Services, starting with the account structure rather than the first server. Before application code is written, AWS Organizations gets separate accounts for production, staging and shared tooling, sign-in moves to IAM Identity Center, and service control policies block risky actions such as stopping CloudTrail logging. Workloads then land on the simplest service that fits: Lambda with API Gateway and SQS for spiky or event-driven traffic, ECS on Fargate for long-running containers, and EKS only when you need the Kubernetes ecosystem. Data goes to Aurora PostgreSQL when you need joins and transactions, or to DynamoDB when access patterns are known up front and latency must stay flat as volume grows. Every resource is expressed in AWS CDK or Terraform, reviewed as a pull request with a diff, and deployed from CI with short-lived OIDC credentials instead of stored access keys.
AWS development services
Serverless application builds
APIs and background jobs on Lambda, API Gateway, SQS, EventBridge and Step Functions, with idempotent handlers, dead-letter queues, and RDS Proxy in front of relational databases to prevent connection exhaustion.
Container platforms on ECS
Docker services on ECS with Fargate or EC2 capacity providers behind an Application Load Balancer, using rolling or blue/green releases and autoscaling driven by request count or queue depth.
Migration into AWS
A rehost, replatform or refactor decision for each workload, AWS Application Migration Service for server moves, and Database Migration Service with change data capture so cutover needs only a short write freeze.
Infrastructure as code
AWS CDK in TypeScript or Terraform modules for networks, databases, queues and IAM, checked by cdk-nag or Checkov in CI so insecure defaults fail the build before reaching production.
Security and compliance hardening
Least-privilege IAM, KMS encryption, Secrets Manager rotation, GuardDuty, Security Hub and AWS Config rules, plus an organization-wide CloudTrail that gives auditors evidence for SOC 2, HIPAA or PCI DSS reviews.
Cost and performance tuning
Cost Explorer and Cost and Usage Report analysis, Graviton and Savings Plans options, NAT Gateway and cross-AZ transfer reviews, and CloudWatch metrics that show where latency comes from before anyone adds capacity.
Why teams choose Krapton for AWS
Senior engineers, fixed scope, and code you own — the things agencies promise and rarely deliver.
Accounts structured before code
Separate workload accounts limit the blast radius of a leaked key or a bad deploy, and they keep billing, service quotas and permissions clean as more teams start shipping.
Managed services over custom servers
We choose the AWS service your team can operate during a middle-of-the-night incident. Fewer self-managed EC2 instances mean fewer patches, fewer pages and less undocumented tribal knowledge.
Cost visible in every review
Pull requests that add NAT Gateways, provisioned capacity or cross-region replication carry a cost note, so spend becomes a design decision rather than a surprise on the next invoice.
Observability shipped with features
Each service goes live with CloudWatch alarms, structured logs and X-Ray or OpenTelemetry traces, so the first production incident is diagnosed from data rather than guesswork.
How a AWS project runs with Krapton
01
Workload and account audit
We read your current architecture, IAM setup, bills and incident history, then map each workload to a target AWS service with written tradeoffs and risks.
02
Landing zone first
Organizations, Identity Center, centralized logging and network baselines are deployed as code before any workload, so every later environment inherits the same guardrails.
03
Incremental build or cutover
Services ship behind feature flags or weighted Route 53 records, with load tests run and rollback steps rehearsed before production traffic moves across.
04
Operate, then hand over
Alarms, dashboards and runbooks are agreed with your on-call team, and the infrastructure code, diagrams and access model are documented for whoever runs it next.
The AWS stack we build with
AWS development: questions answered
What does an AWS development company do beyond setting up servers?
It designs the whole system around AWS managed services, and servers are only a small part of that. At Krapton the scope covers account structure, networking, IAM, application code on Lambda or containers, data modeling in Aurora or DynamoDB, CI/CD with OIDC deploys, monitoring and cost controls. You receive a product running in your own accounts, plus the infrastructure code, diagrams and runbooks needed to change it safely later.
When is AWS the wrong choice for a new product?
AWS is often more platform than an early product needs. A marketing site or a simple CRUD app can ship faster on Vercel, Render or another managed platform, and companies standardized on Microsoft 365, Entra ID and SQL Server licensing often fit Azure better. AWS earns its complexity when you need fine-grained IAM, private networking, regional data residency, or many managed building blocks under one bill.
Should we build on Lambda or on containers?
Use Lambda for event-driven, bursty or low-traffic work, and containers for steady traffic or long-running processes. A single Lambda invocation is capped at 15 minutes, cold starts add latency that provisioned concurrency or SnapStart can reduce, and relational databases need RDS Proxy once concurrency climbs. ECS on Fargate gives predictable latency and familiar Docker workflows, but you pay for capacity while it idles. Many products sensibly use both.
How do you migrate an existing application to AWS without a risky big-bang cutover?
Move it in waves ordered by dependency and risk. Stateless services go first, often rehosted with AWS Application Migration Service, while databases replicate continuously through Database Migration Service so the final switch needs only a brief write freeze. Weighted Route 53 records shift traffic gradually, and the old environment stays live until error rates and latency match. Refactoring into managed services follows the move rather than happening during it.
What decides the cost of an AWS development project?
Scope and operating requirements decide it far more than the choice of cloud. The main drivers are the number of services and environments, data that must migrate with minimal downtime, compliance evidence such as HIPAA or PCI DSS, integration with existing identity providers and networks, and whether you need on-call support afterward. Your monthly AWS bill is separate, and its shape is modeled with you before anything is built.
Ready to build? Tell us what you have in mind.
Send a short brief and a senior engineer will reply within one business day with next steps — no sales fluff.