AWS Cloud Application Development and Modernization

We build, modernize, and scale applications on AWS so they perform better, cost less to run, and do not buckle under growth, from cloud-native SaaS platforms to legacy migrations and the DevOps automation that makes deployment routine instead of risky.

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Build, Modernize, and Scale Applications on AWS

We build, modernize, and scale applications on AWS, from cloud-native SaaS platforms to legacy application migration, serverless architecture, and the DevOps automation that keeps deployment fast and reliable. Our clients span SaaS, ecommerce, manufacturing, and financial services, but the same approach applies to any business running or planning to run on AWS.

Our AWS practice covers cloud-native application development, legacy modernization and migration, serverless architecture with Lambda, microservices and containerized deployment, API-first integration, AI-powered application features, and the CI/CD and cost optimization work that keeps AWS infrastructure efficient as it scales.

We work with SaaS companies needing cloud-native, multi-tenant architecture, manufacturers and financial services businesses modernizing legacy applications for AWS, and ecommerce and logistics companies needing event-driven, real-time infrastructure for order and shipment processing.

Every AWS engagement begins with an architecture decision: serverless versus containerized, monolith versus microservices, because these decisions determine the cost, scalability, and operational complexity the application carries for the rest of its life.

From serverless APIs built on Lambda to full legacy application modernization for enterprise systems moving onto AWS infrastructure, we build at the depth AWS’s platform capability supports.

Since 2007, Keyideas has delivered AWS application development and modernization projects for SaaS, ecommerce, and enterprise clients across the United States, United Kingdom, and Australia.

Services That Align With AWS Development

  • AWS infrastructure serves the application built on top of it. Our .NET, Laravel, and Node.js development practices build the application layer that runs on the AWS architecture we design, delivered by one team.
  • For businesses needing a frontend connected to AWS-hosted APIs, our React, Angular, and Vue.js practices build the interface layer consuming the backend services.
  • For companies needing sustained AWS engineering and DevOps capacity, our offshore development service provides a dedicated resource rather than a project-scoped engagement.

Cities Where We Deliver AWS Development

  • In New York, San Francisco, and Boston, our AWS practice serves SaaS companies and enterprises building cloud-native applications and modernizing legacy systems.
  • In London and Sydney, we build AWS infrastructure for financial services and manufacturing businesses needing secure, compliant, and ERP-integrated cloud applications.
  • In Bengaluru, our AWS practice supports global SaaS companies and enterprises building and modernizing cloud applications from India for international markets.

Benchmarked Against Leading Enterprise Technology

We benchmark every AWS engagement against the architecture, cost efficiency, and reliability standards of well-managed production cloud environments.

Industries We Know From the Inside

Keyideas has built websites, platforms, and software products across more than 20 industry verticals over 18 years. We bring direct project experience to each industry we serve, not a generalist template applied to every client brief. Select an industry below to see what we have built in your market.

Technologies We Work With

We select technologies and implementation approaches based on storefront complexity, performance requirements, integrations, customization needs, scalability, and long-term maintenance.

We Build On

We Migrate From

What We Build With AWS

From cloud-native application development and serverless architecture to microservices, API development, AI integration, DevOps, event-driven systems, cost optimization, and application deployment, we build AWS solutions around specific business requirements, technology stacks, and scalability goals.

Cloud-Native Application Development

Applications Designed for Cloud Scale From the Start

Cloud-Native SaaS Platforms and Multi-Tenant Architecture

Scalable Architecture That Adapts as Requirements Change

An application moved to AWS but never redesigned for it still behaves like it is running on a single server: it does not scale automatically, does not recover from failure on its own, and does not get cheaper as AWS’s managed services mature. We build cloud-native web applications and SaaS platforms designed for auto-scaling and failure recovery from the first architecture decision, so the AWS investment actually pays off instead of relocating the same limitations to more expensive infrastructure.

Application Modernization and Cloud Migration

Legacy Application Assessment and Modernization Planning

Migration to AWS for Scalability and Reliability

Architecture Reengineering During the Migration Process

Moving a legacy application to AWS without fixing what was already wrong with it just makes the same technical debt more expensive to run every month. We assess legacy applications for architecture problems before migration begins, fix what needs fixing during the move, and deliver the scalability, performance, and reliability gains AWS is supposed to provide, rather than a lift-and-shift that keeps the old bottlenecks running on newer, pricier infrastructure.

Serverless Application Development

AWS Lambda for Event-Driven, Auto-Scaling Compute

API Gateway for Serverless REST and WebSocket APIs

Scalable Backend Systems Without Infrastructure Management

Provisioning and managing servers for a workload that spikes twice a year and sits idle the rest of the time wastes money and engineering time on infrastructure nobody should have to babysit. We build serverless APIs and backend systems on AWS Lambda with API Gateway handling REST and WebSocket connectivity, delivering infrastructure that costs nothing when idle, scales automatically during traffic spikes, and eliminates the manual provisioning a growing team does not have time for.

Microservices Architecture

Breaking Monolithic Systems Into Independently Deployable Services

Service-to-Service Communication and API Design

Independent Scaling for High-Traffic Application Components

A monolithic application means every deployment risks the entire system, and every component scales together whether it needs to or not, driving up cost for parts of the application nobody is actually stressing. We break large systems into independently deployable microservices with clearly defined API contracts between them, so a high-traffic component scales on its own, a small fix does not require redeploying everything, and your engineering team ships changes without coordinating a release across the whole application.

API-First Development

REST and GraphQL APIs for Modern Application Architecture

Third-Party and Partner System Integration on AWS

Enterprise Integration Platforms Built on AWS Services

An application that cannot expose its data through an API cannot connect to a mobile app, a partner system, or the next tool your business decides to adopt without a costly rebuild. We build REST and GraphQL APIs on AWS using API Gateway and AppSync, and the third-party integrations that connect your AWS-hosted application to the ERP, CRM, and partner systems your business already runs on, so growth does not get blocked by an application that was never designed to talk to anything else.

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AI and Intelligent Applications

AI Integration Into Existing AWS-Hosted Applications

AI-Powered Automation and Decision-Making Features

AWS Infrastructure for AI Workload Support

Adding AI to a business application usually gets treated as a separate project requiring new infrastructure, when the AWS environment you already run can support it directly. We integrate AI into AWS-hosted applications using Amazon Bedrock, SageMaker, and direct API integration with OpenAI, building AI-powered features and automation into the application you already have rather than standing up a parallel AI platform that adds cost and complexity without adding proportional value.

Containerized Application Development

Docker Containerization for Portable, Consistent Deployment

ECS and EKS for Managed Container Orchestration

Scalable, Maintainable Container-Based Architecture

Running your own Kubernetes cluster means owning the operational overhead of the orchestration layer on top of the application it is supposed to simplify, which is a cost most teams underestimate until they are living with it. We containerize applications with Docker and deploy through AWS’s managed ECS or EKS, giving you the portability and scalability of containers with AWS handling the orchestration complexity your team would otherwise have to build and maintain themselves.

DevOps and Continuous Delivery

CI/CD Pipeline Design for Automated Deployment

Infrastructure as Code With CloudFormation and Terraform

Deployment Automation and Release Quality Improvement

A manual deployment process turns every release into a risk: a step gets skipped, a configuration gets forgotten, and the team finds out in production instead of before it ships. We build CI/CD pipelines using CodePipeline, CodeBuild, or GitHub Actions, and implement infrastructure as code with CloudFormation or Terraform, so every environment is reproducible and every release is automated and tested rather than dependent on one person remembering the right sequence of manual steps.

Event-Driven Applications

Real-Time Communication and Workflow Automation

EventBridge, SQS, and SNS for Event Processing

Notifications and Messaging Systems at Scale

A scheduled batch job that runs once an hour means your inventory, order status, or shipment notifications can be wrong for up to fifty-nine minutes at a time, and customers notice. We build event-driven workflows using EventBridge, SQS, and SNS that process orders, inventory changes, and notifications the moment they happen, so ecommerce, logistics, and financial services applications react to events in real time instead of on a delay nobody actually chose on purpose.

Cost Optimization and Scalable Infrastructure

Scalable Infrastructure Design for Growing Workloads

Performance Optimization Balanced Against Cost

Cloud Architecture Planning for Sustainable Scale

An AWS bill that grows faster than your actual traffic usually means resources were provisioned once and never revisited, not that the business genuinely needs that much infrastructure. We design scalable infrastructure with cost monitoring and budget alerts configured from day one, and we optimize performance against cost on an ongoing basis, so your AWS spend scales with your business instead of becoming an unpleasant surprise on next month’s invoice.

AWS Deployment for .NET, Laravel, and Node.js Applications

AWS Infrastructure Designed Around Your Existing Application Stack

.NET on AWS: Elastic Beanstalk, ECS, and RDS

Laravel and Node.js Deployment on AWS Infrastructure

Generic cloud hosting advice does not account for the specific way .NET, Laravel, or Node.js applications actually need to run, and a mismatched setup costs you performance and money you did not need to spend. We deploy .NET applications on Elastic Beanstalk, ECS, or containers with RDS for SQL Server, Laravel on EC2 or containers with RDS for MySQL or PostgreSQL, and Node.js on Lambda or ECS depending on the workload, building AWS architecture around the backend technology your application actually runs on.

How We Collaborate With Our Clients

We use industry-leading tools to ensure smooth communication, efficient development and transparent project management

Project
Management

Plan tasks, timelines, and project resources efficiently.

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Development

Build scalable solutions with clean and secure code.

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Maintenance

Monitor performance, fix issues, and manage updates.

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Design

Create wireframes, UI designs, and interactive prototypes.

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Communication

Conduct meetings and discussions to stay aligned.

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Frequently Asked Questions about AWS Application Development

Questions from technical decision-makers about AWS application development and modernization with Keyideas.

It depends on your application’s current state and growth plans. If you are building something new, cloud-native architecture designed for AWS from the start avoids the technical debt of retrofitting scalability later. If you have a working legacy application, migration with targeted modernization is usually lower risk and cost than a full rewrite, unless the underlying architecture is fundamentally incompatible with where the business needs to go. We assess your specific situation before recommending either path.

Yes. Application modernization and cloud migration, including legacy application assessment, architecture reengineering, and migration to AWS for improved scalability and reliability, is a core part of our practice. We assess the application for architecture problems before migration, so technical debt is addressed during the move rather than simply relocated to more expensive AWS infrastructure.

It depends on your workload. Serverless suits event-driven, intermittent workloads like APIs with variable traffic, since it scales automatically and costs nothing when idle. Containerized architecture suits applications with sustained, predictable compute needs, complex dependencies, or long-running processes serverless execution limits cannot accommodate. Many applications use both, and we design the right split based on your specific workload characteristics.

Yes. We deploy .NET applications on Elastic Beanstalk, ECS, or containerized infrastructure with RDS, Laravel applications on EC2 or containers with RDS for MySQL or PostgreSQL, and Node.js applications on Lambda or ECS depending on the workload. AWS deployment is designed around your specific application stack rather than a generic cloud template, a natural extension of our existing development practices in these technologies.

Yes. AI integration into AWS-hosted applications using Amazon Bedrock, SageMaker, and direct API integration with OpenAI is a growing part of our AWS practice. We build the AI-powered features and intelligent automation that AWS’s compute and data infrastructure supports at production scale, integrating AI into the application you already run rather than requiring a separate AI platform.

We configure cost monitoring and budget alerts from day one so infrastructure spend is visible rather than a surprise on the monthly bill, design auto-scaling policies tested under realistic load conditions, and use infrastructure as code so environments remain consistent and cost-predictable as they scale. Cost optimization is an ongoing architectural discipline, not a one-time setup task, and we treat it that way throughout the engagement.

A cloud-native application build takes 12 to 20 weeks depending on complexity. A legacy application migration and modernization project takes 16 to 30 weeks. A serverless API or event-driven system takes 8 to 16 weeks. A DevOps and CI/CD implementation for an existing application takes 4 to 10 weeks. Timeline is confirmed after the architecture assessment defines the actual scope.

Projects start at $5,000 for a Strategic Foundation build covering a core serverless API or a targeted AWS deployment. Next-Level Growth at $10,000 adds containerized architecture, CI/CD pipeline implementation, or AI integration. The Accelerated Competitive tier at $20,000 covers full legacy application modernization, microservices architecture, or complex event-driven systems. Enterprise Partnership at $3,300 per month provides a dedicated AWS developer with a single point of contact and project collaboration tools.

A senior AWS developer at a US agency bills at $130 to $220 per hour. A UK agency charges £100 to £180 per hour. A typical AWS application development or modernization project costs $50,000 to $150,000 at a US agency. The same project at Keyideas falls within our $5,000 to $20,000 project tiers.
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