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Applications Built Properly on AWS

Serverless APIs, container platforms and data workloads on Amazon Web Services, defined as code, secured from day one and sized to keep bills sensible.

lib/orders-stack.ts
Sample code

AWS development for products that need to scale

Amazon Web Services offers the widest catalogue of cloud services, from compute and databases to queues, AI and analytics. That breadth is powerful but easy to misuse: accounts with open permissions, oversized instances and resources nobody remembers creating. AWS development done well means choosing a small set of services that fit your workload, defining them as code and building the application to take advantage of them.

AWS is a natural choice for startups and product companies that want the largest ecosystem, mature serverless tooling and global regions, including Mumbai and Hyderabad for data residency in India. Azure often fits organisations deep in Microsoft tools, and Google Cloud suits teams centred on data analytics and Kubernetes. We recommend a provider based on your stack, contracts and team skills.

Nexzem builds on AWS with Terraform or CDK, separate accounts for each environment and least-privilege IAM roles. We design serverless or container architectures around actual traffic, set up monitoring and budgets with alerts, and document everything so your team can operate the platform.

Read AWS, the way we write it

A short, idiomatic sample. Scroll and the editor types each part while the note beside it explains why it is written that way.

lib/orders-stack.ts
Sample code
import { Duration, Stack, type StackProps } from "aws-cdk-lib"
import * as apigw from "aws-cdk-lib/aws-apigateway"
import * as lambda from "aws-cdk-lib/aws-lambda"
import type { Construct } from "constructs"
// Infrastructure as code: reviewed, versioned and repeatable
export class OrdersStack extends Stack {
constructor(scope: Construct, id: string, props?: StackProps) {
super(scope, id, props)
// A serverless function, billed per request
const handler = new lambda.Function(this, "Orders", {
runtime: lambda.Runtime.NODEJS_24_X,
code: lambda.Code.fromAsset("dist"),
handler: "orders.handler",
timeout: Duration.seconds(10),
})
// An HTTPS API in front of it, with throttling built in
new apigw.LambdaRestApi(this, "OrdersApi", { handler })
}
}
  1. line 6-10

    Infrastructure as code: reviewed, versioned and repeatable

  2. line 11-18

    A serverless function, billed per request

  3. line 19-22

    An HTTPS API in front of it, with throttling built in

What we build with AWS

Applications built and run on AWS with serverless, containers, infrastructure as code and sensible cost control.

  1. 01

    Serverless Applications

    APIs and event-driven backends on Lambda, API Gateway, DynamoDB, SQS and EventBridge that scale automatically and cost little when traffic is quiet.

  2. 02

    Container Platforms

    Dockerised applications on ECS Fargate or EKS with load balancing, autoscaling, blue-green deployments and centralised logging, so releases never take the application offline.

  3. 03

    Migration to AWS

    Moves from on-premise servers or other clouds to AWS, planned workload by workload with rehosting or refactoring where it adds real value.

  4. 04

    Infrastructure as Code

    Terraform or AWS CDK definitions for networks, databases, compute and permissions, so environments are reproducible and changes are reviewed like code.

  5. 05

    CI/CD Pipelines

    Automated build, test and deploy pipelines with GitHub Actions or CodePipeline, including preview environments, approval gates for production and safe rollbacks when a release misbehaves.

  6. 06

    Data, Analytics and AI on AWS

    Data lakes on S3, pipelines with Glue or Lambda, reporting with Athena or Redshift, and generative AI features and agents on Amazon Bedrock grounded in that same data.

  7. 07

    Security and Cost Reviews

    Audits of IAM, networking, encryption, backups and spending, followed by fixes for open access, idle resources and oversized instances.

Why teams pick Nexzem for AWS

The checks every engagement has to pass before we call it done.

.github/PULL_REQUEST_TEMPLATE.md5/5 checked

  • - [x] Pay for what you use

    Architectures sized to real traffic, with budgets and alerts to catch surprises.

  • - [x] Reproducible environments

    Infrastructure as code means staging matches production and recovery is predictable.

  • - [x] Secure by default

    Least-privilege access, encryption and separate accounts reduce the blast radius of mistakes.

  • - [x] Data residency options

    Indian AWS regions keep customer data in the country when regulations or contracts require it.

  • - [x] Your account, your control

    Everything runs in your AWS account with full documentation and handover.

Designing a well-architected AWS environment

A strong AWS setup starts before the first application is deployed. We create a landing zone with AWS Organizations and Control Tower, separating production, staging, development, security and logging into different accounts. Users sign in through IAM Identity Center with roles rather than long-lived access keys, and service control policies block risky actions such as disabling audit logging or using unapproved regions.

The AWS Well-Architected Framework provides a checklist across six pillars: operational excellence, security, reliability, performance efficiency, cost optimization and sustainability. Reviewing workloads against it early catches design gaps, such as single points of failure or missing encryption, while they are still cheap to fix.

Networking deserves the same care: private subnets for databases and services, controlled internet access, VPC endpoints for AWS services and a clear plan for connecting to offices or other clouds. Getting these foundations right early avoids painful network redesigns once production traffic depends on them.

  • Separate accounts per environment and function.
  • Single sign-on with roles, no long-lived keys.
  • Centralized CloudTrail and configuration logging.
  • Guardrails through service control policies.
  • Everything defined as infrastructure as code.
  • Budgets and cost alerts per account.

Choosing compute on AWS

AWS offers many ways to run code, and the right one depends on workload shape and team skills. Lambda suits event-driven work and spiky APIs, scaling to zero when idle. ECS with Fargate runs containers without managing servers and fits most web services. EKS provides Kubernetes for teams that need its ecosystem or portability, and EC2 remains right for specialized workloads and software needing full server control.

Our serverless vs containers comparison explores the trade-offs in depth, and our Terraform vs CloudFormation comparison helps choose how to define the infrastructure. Many systems combine options, such as containers for core APIs and Lambda for scheduled jobs and event processing.

Start with the simplest option that meets requirements. Teams often adopt Kubernetes before they need it, taking on operational complexity that a managed container service would have avoided. You can always move to more complex options later when there is a real need.

Reliability and disaster recovery on AWS

Running across multiple availability zones protects against most infrastructure failures, and managed services such as RDS Multi-AZ and Aurora make this straightforward for databases. Disaster recovery for regional outages requires an explicit strategy, chosen by how much downtime and data loss the business can tolerate.

Recovery plans only work if they are tested. Scheduled restore tests, documented runbooks and game days that simulate failures turn a written plan into a proven capability, and they usually reveal missing permissions or dependencies long before a real incident does.

  • Backup and restore: lowest cost, longest recovery time.
  • Pilot light: core data replicated, services started on demand.
  • Warm standby: a scaled-down copy always running.
  • Multi-site active-active: fastest recovery, highest cost.

How AWS projects run

$ git log --graph --oneline main..delivery

  1. 9e837f4

    feat: workload assessment

    We review your application, traffic patterns, data and compliance needs.

  2. 9150085

    feat: architecture design

    Service choices, network layout, security model and cost estimate agreed upfront.

  3. e80e5c7

    feat: build as code

    Infrastructure and application delivered together through reviewed pipelines.

  4. 63d3409

    feat: test and cut over

    Load, failover and security checks, then a planned go-live with rollback steps.

  5. b586272

    merge: operate and optimise

    Monitoring, cost reviews and improvements under a managed support plan.

What teams build with AWS

  • Serverless API for a startup

    A startup runs its backend on API Gateway, Lambda and DynamoDB, paying almost nothing when traffic is low and scaling automatically after a press mention, with infrastructure defined as code and deployed from CI.

  • Moving virtual machines to containers

    A company running applications on manually managed EC2 instances moves them to ECS on Fargate, gaining automated deployments, health checks and scaling while removing the need to patch servers by hand.

  • Data lake on S3

    Operational data lands in S3 through scheduled pipelines, is cataloged and queried with Athena using standard SQL, and feeds dashboards and machine learning, giving analysts self-service access without loading production databases.

  • Landing zone for a fintech

    A fintech sets up a multi-account AWS environment with centralized logging, guardrails, encryption by default and audit-ready configuration from day one, simplifying security reviews by banking partners, auditors and regulators.

  • Disaster recovery for an on-premises ERP

    A manufacturer replicates its on-premises ERP servers and databases to AWS, enabling recovery in the cloud within agreed time limits if the data center fails, without paying for a full duplicate environment.

Where AWS sits in your stack

The tools we pair it with, layer by layer. Select a layer to see what it is responsible for.

AWS development FAQs

Something else on your mind? Ask a consultant and get a reply within one business day.

AWS, Azure or Google Cloud: which should we use?

AWS suits teams wanting the broadest services and serverless tooling. Azure suits Microsoft-centric organisations. Google Cloud suits data analytics and Kubernetes-heavy teams. Existing contracts and team skills also matter, and we recommend after reviewing them.

What drives the cost of AWS development?

Effort depends on application complexity, number of environments, migration scope, compliance needs and how much infrastructure must be defined as code. Your monthly AWS bill is separate, and we estimate it during design. A fixed quote follows a free consultation.

Can you reduce our current AWS bill?

Often yes. Common savings come from right-sizing instances, moving to Graviton (Arm) instances, removing idle resources, using savings plans, moving suitable workloads to serverless and fixing chatty data transfer. We start with a cost review.

How do you keep our AWS account secure?

We use separate accounts per environment, least-privilege IAM, MFA, encryption at rest and in transit, private networking, logging with CloudTrail and regular reviews of access.

Will we depend on you to run it?

No. Everything lives in your account, defined as code and documented. You can operate it yourselves or choose a support plan with us.

What is an AWS landing zone?

A landing zone is a pre-configured, secure multi-account AWS environment that follows best practices for identity, logging, networking and guardrails. Built with AWS Organizations and Control Tower, it gives every new workload a safe, consistent foundation instead of each team configuring accounts differently.

What recovery time and data loss should we target?

It depends on business impact. Recovery time objective is how long a system can be down, and recovery point objective is how much data loss is acceptable. Critical payment systems may need minutes, while internal tools may tolerate hours. Targets drive both architecture and cost.

We work with clients across the USA, UK, Australia, UAE, New Zealand and India.

Where we work

Tell us what you're building.

A solutions consultant replies within one business day with a recommended stack, a rough estimate and a suggested team.