Automotive and Transportation
Digital solutions for dealerships, logistics, mobility, and transportation businesses.
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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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.
Keyideas has delivered AWS application development, migration, and modernization projects for SaaS, ecommerce, and enterprise clients.
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.
Healthcare websites, patient portals, appointment booking, and telemedicine solutions.
Websites for home improvement, maintenance, renovation, and repair services.
Custom software and websites for manufacturing and industrial businesses.
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
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
We use industry-leading tools to ensure smooth communication, efficient development and transparent project management
Plan tasks, timelines, and project resources efficiently.
Build scalable solutions with clean and secure code.
Monitor performance, fix issues, and manage updates.
Create wireframes, UI designs, and interactive prototypes.
Conduct meetings and discussions to stay aligned.
Questions from technical decision-makers about AWS application development and modernization with Keyideas.
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