AWS Development Services

We build cloud-native applications, serverless architectures, and scalable infrastructure on Amazon Web Services. Our expert team delivers production-ready solutions using AWS compute (EC2, Lambda, ECS), storage (S3, EFS), databases (RDS, DynamoDB), and AI/ML services. From startup MVPs to enterprise systems serving millions of users, we help companies migrate to cloud, optimize costs, scale automatically, and achieve measurable ROI with 60% infrastructure cost reduction through AWS's pay-as-you-go model.

Our Services

What We Build with Amazon Web Services

From MVPs to enterprise systems, we deliver production-ready solutions that scale.

Serverless Computing with AWS Lambda for Cost Efficiency

We build serverless applications using AWS Lambda that eliminate server management, scale automatically from zero to millions of requests, and charge only for actual compute time. Lambda functions handle API endpoints, data processing, scheduled tasks, event-driven workflows, and real-time file processing—running code in response to events without provisioning servers. This architecture reduces infrastructure costs by 70% compared to always-on servers, eliminates idle capacity costs, provides automatic scaling, and enables rapid development with faster time-to-market. Perfect for startups, variable workloads, microservices, and applications with unpredictable traffic. We implement Lambda with API Gateway, EventBridge, Step Functions, and DynamoDB for complete serverless architectures.

Container Orchestration with ECS and EKS for Microservices

We deploy containerized applications using AWS ECS (Elastic Container Service) or EKS (Elastic Kubernetes Service) for portable, scalable microservices architectures. Containers provide consistent environments across development and production, enable easy scaling of individual services, support gradual rollouts with zero downtime, and integrate seamlessly with AWS services. ECS offers simple container orchestration with deep AWS integration, while EKS provides standard Kubernetes for hybrid/multi-cloud scenarios. This approach enables faster deployments, improved resource utilization (30-40% cost savings), independent service scaling, and technology flexibility. We implement Fargate for serverless containers, service mesh for observability, and CI/CD pipelines for automated deployments.

Scalable Storage with S3, EFS, and Elastic Block Store

We architect storage solutions using AWS S3 for object storage (images, videos, backups, data lakes), EFS for shared file systems, and EBS for block storage with EC2 instances. S3 provides 99.999999999% durability, automatic scaling to petabytes, intelligent tiering for cost optimization, versioning for data protection, and lifecycle policies for archival. EFS enables shared storage across multiple containers or instances, perfect for content management and shared data. This storage architecture ensures data durability, reduces storage costs by 50% with intelligent tiering, enables instant scaling without capacity planning, and provides global accessibility through CloudFront CDN integration. We implement encryption at rest and in transit, access controls with IAM and bucket policies, and backup strategies for disaster recovery.

Managed Databases with RDS, DynamoDB, and Aurora

We implement scalable database solutions using AWS RDS for relational databases (PostgreSQL, MySQL, SQL Server), DynamoDB for NoSQL with single-digit millisecond performance, and Aurora for MySQL/PostgreSQL compatibility with 5x better performance. Managed databases eliminate operational overhead (backups, patching, replication), provide automatic scaling, ensure high availability with multi-AZ deployments, and offer point-in-time recovery. RDS handles 90% of database administration tasks automatically, DynamoDB scales to millions of requests per second, and Aurora provides 99.99% availability with global replication. Perfect for applications requiring reliability without database administration burden. We implement connection pooling, query optimization, read replicas for scaling, and comprehensive monitoring.

Global Content Delivery with CloudFront CDN

We accelerate content delivery using AWS CloudFront, a content delivery network with 400+ edge locations worldwide that caches content close to users. CloudFront reduces latency by 60%, improves page load times by 40%, handles DDoS protection automatically, integrates with S3 and EC2 origins, and reduces bandwidth costs by 30%. Perfect for websites, APIs, video streaming, and mobile applications requiring fast global delivery. CloudFront provides SSL/TLS certificates (free with ACM), custom domain support, cache invalidation, real-time logs, and geo-restriction capabilities. We implement edge computing with Lambda@Edge for dynamic content manipulation, optimize caching strategies for maximum performance, and configure security headers for compliance.

Infrastructure-as-Code with Terraform and CloudFormation

We manage all AWS infrastructure using Infrastructure-as-Code (IaC) with Terraform or AWS CloudFormation, enabling version-controlled, repeatable, auditable infrastructure deployments. IaC treats infrastructure as software—allowing code reviews, testing before deployment, rolling back changes, and deploying identical environments (dev, staging, production) consistently. This approach eliminates manual configuration errors, enables disaster recovery by redeploying infrastructure from code, documents infrastructure through code, and accelerates environment provisioning from weeks to hours. Perfect for enterprises requiring compliance documentation, teams needing rapid scaling, and organizations implementing DevOps practices. We implement modular IaC designs, automated testing with Terratest, and GitOps workflows for infrastructure changes.

AI and Machine Learning with SageMaker and Rekognition

We build AI/ML solutions using AWS SageMaker for training and deploying custom models, Rekognition for image/video analysis, Comprehend for natural language processing, and Textract for document extraction. SageMaker handles the ML infrastructure, providing Jupyter notebooks, automatic model tuning, one-click deployment, and cost-effective training with spot instances. Rekognition provides pre-trained models for facial analysis, object detection, text extraction, and content moderation. This enables building intelligent applications without deep ML expertise, reducing ML development time by 60%, eliminating infrastructure management, and providing scalable inference endpoints. Perfect for applications requiring recommendations, fraud detection, image analysis, chatbots, and predictive analytics. We implement MLOps pipelines, model versioning, A/B testing, and comprehensive monitoring.

Industries We Serve

Industries We Serve with Amazon Web Services

We deliver amazon web services solutions across diverse industries, each with unique challenges and opportunities.

Manufacturing & Industrial Operations

Production data scattered across 5 systems? Equipment failures you can't predict? Spending 15+ hours weekly on manual reporting? We've built manufacturing systems for 50+ facilities. Our platforms connect legacy equipment to modern dashboards, predict maintenance needs weeks early, and automate productivity-killing reporting. Most clients see 40-60% efficiency gains within 12 weeks.

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Clubs & Member Communities

Spent $50k on membership software and still drowning in spreadsheets? Members lapsing because manual renewal reminders never sent? We've built custom membership management systems for 35+ clubs and communities. Our platforms eliminate administrative chaos, automate renewals, and prepare your organization for real growth. Most clients see 50-70% efficiency gains within 8-12 weeks. Production-ready in 10-14 weeks.

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Construction & Engineering

Project management software costing $150k but crews waste 70% of time on paperwork? Five systems causing 28% budget overruns? Spending 15+ hours weekly chasing RFIs? We've built construction platforms for 55+ contractors. Our systems unify estimating, scheduling, field coordination, and compliance. Most clients recover $200k-$500k annually and see ROI within 12-18 months. Production-ready in 10-16 weeks.

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Not-For-Profits & Charities

Donor data scattered across 5 systems? Payment reconciliation taking 15+ hours weekly? Program impact impossible to measure? We've built donor management systems for 10+ not-for-profits. Our platforms process millions of donation records, automate claim workflows, and connect CRMs to payment gateways. Most clients cut administrative overhead by 50-65% within 10 weeks and see ROI within 6 months.

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Healthcare & Pharmaceuticals

Transform your healthcare operations with custom software that unifies patient data, automates compliance workflows, and integrates seamlessly with Epic, Cerner, and other EHR systems. HIPAA-compliant solutions built for hospitals, clinics, laboratories, and pharmaceutical companies.

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Government & Public Sector

Critical systems down 10+ hours yearly? Staff drowning in paper-based workflows? Cybersecurity incidents every quarter? We've built secure, compliant systems for 40+ government agencies across state, local, and public safety operations. Our platforms eliminate manual processes, connect legacy systems, and meet FedRAMP and StateRAMP standards. Most agencies see 40-50% efficiency gains within 12-16 weeks.

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Real Estate & Property

Portfolio data stuck in spreadsheets? Missing critical lease renewal dates? Forecasting ROI with outdated information? We build custom real estate platforms that unify your data, automate property and lease management, and deliver predictive investment insights. Our systems for property managers, investors, and commercial firms cut admin by 30% and improve forecast accuracy by 40%.

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Science, Academia & Research

Research data scattered across incompatible systems? Spending 20+ hours weekly on manual data entry? Your team losing months reproducing experiments? We've built research platforms for 30+ academic institutions. Our systems integrate LIMS, ELNs, and AI-powered tools to automate workflows, ensure compliance, and accelerate discovery. Most teams see 40-60% efficiency gains within 12-16 weeks.

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Hospitality & Foodtech

Orders lost between POS and kitchen? Staff spending 20+ hours weekly on manual inventory? We've built food service systems for 45+ hospitality operations. Our platforms connect POS to production, automate ordering workflows, and cut manual work by 50-70%. Most clients see efficiency gains within 8 weeks and ROI within the first year.

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Financial Services & Wealth Management

Wealth management platforms costing $200k but advisors spend 15+ hours weekly on manual consolidation? Client portals that don't sync with your CRM? We've built fintech systems for 60+ wealth management firms. Our systems connect multiple custodians, CRM, and planning tools into unified workflows. Most advisors recover 15-25 hours weekly. SEC/FINRA-compliant in 12-20 weeks.

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Human Resources

Employee data scattered across 5 systems? HR teams spending 20+ hours weekly on manual paperwork? Compliance headaches keeping you up at night? We've built HR systems for 40+ organizations across recruitment, payroll, performance management, and compliance. Our custom HRIS platforms automate workflows, eliminate data silos, and reduce administrative burden by 40-60%. Most clients see measurable efficiency gains within 10-14 weeks.

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Legal Services & Law Firms

Manual billing consuming 15+ hours weekly? Case data scattered across 3 systems? Client intake taking 2+ hours per matter? We've built legal practice management software for 40+ law firms. Our platforms integrate case management with billing, automate document workflows, and reduce administrative burden by 60%+. Most firms see ROI within 8 months. Production-ready in 10-14 weeks.

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Amazon Web Services FAQs

Yes, AWS is the leading cloud platform for enterprise applications, trusted by 90 of the Fortune 100 companies including Netflix, Airbnb, Samsung, BMW, and GE. AWS provides 200+ services covering compute, storage, databases, networking, security, ML, and analytics—enabling enterprises to build any application in the cloud. AWS offers enterprise-grade security and compliance certifications (SOC 1/2/3, ISO 27001, PCI DSS, HIPAA, FedRAMP), 99.99% SLA for most services, 24/7 enterprise support, dedicated account management, and global infrastructure across 32 regions. AWS reduces infrastructure costs by 60% on average compared to on-premise, eliminates capital expenditure, provides automatic scaling, and enables innovation with cutting-edge services. Studies show AWS customers achieve 51% lower total cost of ownership over 5 years compared to on-premise infrastructure.

AWS development costs vary by project complexity and AWS service usage. AWS developers in the United States typically charge $90-180 per hour, with senior cloud architects commanding $150-250 per hour. In Australia, rates range from AUD $70-140 per hour (approximately USD $47-93). Project-based pricing: cloud-native MVP costs $30,000-80,000 over 2-3 months, mid-sized applications with microservices cost $80,000-200,000 over 3-6 months, and large-scale enterprise migrations cost $200,000-800,000+ over 6-12 months. AWS infrastructure costs depend on usage: small applications cost $200-1,000/month, medium applications $1,000-5,000/month, and large-scale applications $5,000-50,000+/month. Cost optimization typically reduces AWS bills by 30-60% through reserved instances, auto-scaling, and right-sizing. Factors include compute requirements, data storage and transfer, database usage, third-party integrations, and support level.

AWS application development timelines vary by project scope. A serverless MVP with Lambda and DynamoDB takes 4-8 weeks, a mid-complexity containerized application with ECS takes 2-4 months, a data analytics platform with complete ETL pipelines takes 3-6 months, and large-scale enterprise migrations typically take 6-18 months with phased approach. These timelines assume experienced AWS development team following AWS Well-Architected Framework. AWS managed services reduce development time by 50% compared to self-managed infrastructure—no need to provision servers, patch operating systems, or manage databases manually. Factors affecting timeline include application complexity, number of services integrated, data migration requirements, compliance needs (HIPAA, PCI DSS), team size, and whether building greenfield or migrating existing applications. Infrastructure-as-Code (Terraform, CloudFormation) accelerates deployment with repeatable infrastructure provisioning.

AWS is the market leader with 32% market share, 200+ services, and most mature ecosystem—best for startups, general-purpose applications, and companies prioritizing service breadth. Azure has 23% market share, strong Windows/.NET integration, and best enterprise integration with Microsoft products—ideal for enterprises using Microsoft stack. Google Cloud has 10% market share, leading in data analytics and ML services, and best for data-intensive applications and containerized workloads. AWS offers most services (200+ vs Azure's 100+ and GCP's 100+), largest global infrastructure (32 regions vs Azure's 60+ and GCP's 35+), and strongest startup ecosystem. Azure provides better hybrid cloud with Azure Arc and seamless Active Directory integration. Google Cloud excels at BigQuery for analytics, GKE for Kubernetes, and AI/ML services. Most businesses choose AWS for its maturity, service breadth, and ecosystem, unless they have specific Microsoft or Google technology dependencies.

AWS provides significant advantages over on-premise infrastructure: 60% cost reduction by eliminating capital expenditure and data center costs, pay-per-use pricing eliminating over-provisioning waste, automatic scaling handling traffic spikes without manual intervention, global reach with 32 regions enabling worldwide deployment in minutes, 99.99% uptime SLA vs typical 99.9% on-premise, faster innovation with 200+ managed services, improved disaster recovery with automated backups and multi-region replication, enhanced security with enterprise compliance certifications, rapid provisioning (minutes vs weeks for on-premise), and reduced IT staff workload focusing on innovation rather than infrastructure management. AWS eliminates hardware refresh cycles, provides instant capacity increases, and enables experimenting with new technologies without upfront investment. Studies show AWS customers deploy applications 10x faster and reduce infrastructure costs by 51% over 5 years compared to on-premise.

Professional AWS development companies provide comprehensive cloud services including: cloud-native application development using serverless and containers, AWS architecture design following Well-Architected Framework, cloud migration services (lift-and-shift, replatform, refactor), Infrastructure-as-Code implementation with Terraform or CloudFormation, microservices architecture design and development, serverless application development with Lambda and API Gateway, containerization with ECS/EKS and Docker, database migration and optimization (RDS, DynamoDB, Aurora), data platform development (data lakes, ETL pipelines, analytics), DevOps and CI/CD pipeline setup, security implementation (IAM, VPC, encryption, compliance), cost optimization and FinOps consulting (30-60% savings typical), monitoring and observability setup, disaster recovery and backup strategies, ML/AI solution development with SageMaker, 24/7 managed support and maintenance, AWS training and team enablement, and security audits and penetration testing. Leading companies hold AWS Advanced Consulting Partner status and multiple AWS certifications.

AWS offers several advantages: largest market share (32%) ensuring long-term viability, most comprehensive service portfolio with 200+ services covering every use case, most mature platform with 18 years of cloud experience since 2006, largest global infrastructure with 32 regions and 102 availability zones, strongest ecosystem with 100,000+ technology partners and marketplace with 15,000+ software listings, best startup support with AWS Activate program providing credits and resources, most extensive compliance certifications (90+ security compliance programs), largest developer community with most tutorials and resources available, most job opportunities with highest demand for AWS skills, proven at scale powering Netflix, Airbnb, and NASA, fastest innovation with new services and features released continuously, and comprehensive training and certification programs. While Azure excels for Microsoft shops and Google Cloud for ML/analytics, AWS's combination of service breadth, maturity, and ecosystem makes it the safest choice for most businesses.

AWS uses pay-as-you-go pricing charging only for resources consumed (compute hours, storage GB, data transfer). Main cost components: compute (EC2, Lambda, ECS), storage (S3, EBS), databases (RDS, DynamoDB), and data transfer (outbound bandwidth). Cost optimization strategies include: using Reserved Instances for predictable workloads (40-60% savings vs on-demand), implementing auto-scaling to match capacity with demand, right-sizing instances based on actual usage (30% savings typical), using spot instances for fault-tolerant workloads (90% discount), implementing S3 lifecycle policies moving infrequent data to cheaper storage classes, deleting unused resources and orphaned volumes, using CloudFront CDN reducing data transfer costs by 30%, leveraging serverless (Lambda, Fargate) for variable workloads, monitoring with Cost Explorer and setting budget alerts, and implementing tagging for cost allocation. AWS Cost Optimization Hub provides automated recommendations. Our clients typically achieve 40-60% cost reduction through optimization without impacting performance.

When selecting an AWS development company, evaluate these key factors: AWS Partner status (Advanced or Premier Consulting Partner preferred indicating AWS-validated expertise), AWS certifications (Solutions Architect Professional, DevOps Engineer, Security Specialty), portfolio with similar AWS projects and industries, technical expertise across compute (EC2, Lambda, ECS/EKS), storage (S3), databases (RDS, DynamoDB), and networking, architecture capabilities following AWS Well-Architected Framework, Infrastructure-as-Code expertise (Terraform, CloudFormation), security and compliance experience (HIPAA, PCI DSS, SOC 2), cost optimization capabilities with proven savings, client testimonials and case studies with measurable results, DevOps and CI/CD expertise, migration experience with phased approaches, 24/7 support offerings, cultural fit and communication practices, and transparent pricing with cost optimization guarantees. Request AWS certification documentation, architectural diagrams from previous projects, and references from clients with similar scale. AWS Partner Finder helps locate AWS-validated partners in your region.

Yes, AWS is highly secure and meets the most stringent compliance requirements. AWS holds 90+ security compliance certifications including SOC 1/2/3, ISO 27001, PCI DSS Level 1 (highest for payment data), HIPAA for healthcare data, FedRAMP for US government, and regional certifications (GDPR for Europe, IRAP for Australia). AWS implements shared responsibility model: AWS secures the cloud infrastructure (physical security, hardware, network), while customers secure their applications and data. AWS provides security services: IAM for access control, VPC for network isolation, KMS for encryption key management, GuardDuty for threat detection, Security Hub for compliance monitoring, and WAF for application protection. All AWS storage services support encryption at rest and in transit. AWS infrastructure features physical security with biometric access, DDoS protection included, network monitoring, and redundancy across availability zones. Leading financial institutions, healthcare providers, and government agencies trust AWS with their most sensitive data. Our implementations follow AWS security best practices and achieve compliance certifications within 3-6 months.

AWS Lambda is a serverless compute service that runs code in response to events without provisioning or managing servers. You upload code, Lambda handles everything else—automatic scaling, availability, and charging only for compute time used (down to 100ms). Lambda is ideal for: API backends (with API Gateway), data processing (S3 uploads, database triggers), scheduled tasks (cron jobs), real-time file processing (image resizing, video transcoding), stream processing (Kinesis, DynamoDB Streams), chatbots and Alexa skills, and microservices. Benefits include 70% cost savings vs always-on servers (no charges when not running), automatic scaling from zero to thousands of concurrent executions, no server management or patching, millisecond billing, and rapid development. Lambda supports 12+ languages including Node.js, Python, Java, Go, and .NET. Limitations: 15-minute maximum execution time (use Fargate for longer tasks), cold start latency (300-1000ms), and deployment package size limits (250MB). Lambda is perfect for variable workloads, event-driven architectures, and microservices where server management overhead outweighs benefits.

We maintain strict quality standards on all AWS projects through AWS Well-Architected Framework reviews covering operational excellence, security, reliability, performance efficiency, and cost optimization, Infrastructure-as-Code (Terraform/CloudFormation) with version control and code reviews, automated testing including infrastructure testing with Terratest, comprehensive CI/CD pipelines with automated deployments, security best practices including least privilege IAM policies, VPC network isolation, encryption at rest and in transit, and security group rules, monitoring and observability with CloudWatch, X-Ray distributed tracing, and custom dashboards, disaster recovery planning with multi-region strategies and automated backups, cost optimization with right-sizing recommendations and Reserved Instance planning, compliance documentation and audit trails, load testing to validate performance and scaling, comprehensive project documentation including architectural diagrams and runbooks, and AWS architecture reviews by certified Solutions Architects. Every project includes Well-Architected review, security audit, cost optimization analysis, and operations runbooks for production support.

Yes, we specialize in AWS cloud migrations with minimal business disruption. We handle migrations from on-premise data centers, other cloud providers (Azure, Google Cloud), and legacy hosting. Our migration process includes comprehensive assessment using AWS Migration Hub and discovery tools, TCO analysis showing cost savings (typically 40-60%), migration strategy selection (lift-and-shift, replatform, refactor, or hybrid), detailed migration plan with phased approach, database migration using AWS Database Migration Service with minimal downtime, application migration using AWS Application Migration Service or containerization, data transfer using AWS DataSync or Snow family for large datasets, testing and validation ensuring functionality and performance, cutover planning with rollback procedures, and post-migration optimization. Common migrations: monoliths to microservices, VMs to containers (ECS/EKS), databases to RDS/Aurora, and on-premise apps to serverless. Most migrations take 3-6 months for mid-sized applications. Benefits include 60% cost reduction, improved scalability, better disaster recovery, and faster deployment cycles. We ensure zero data loss and maintain agreed downtime windows (typically under 4 hours for cutover).

We've built AWS solutions across diverse industries including FinTech (payment processing, trading platforms, banking APIs) leveraging AWS compliance certifications, HealthTech (patient portals, telemedicine, EHR integration) using HIPAA-compliant architectures, E-commerce (online stores, marketplaces) with CloudFront global delivery and auto-scaling, SaaS (B2B platforms, collaboration tools) using serverless and containers, Media & Entertainment (streaming platforms, content delivery) leveraging AWS media services, Education (LMS platforms, online courses) with global reach, Gaming (multiplayer backends, real-time gaming) using GameLift and DynamoDB, IoT (device management, data ingestion) with AWS IoT Core and Kinesis, Government and Public Sector using AWS GovCloud meeting FedRAMP requirements, and Enterprise (data analytics, ML platforms) with comprehensive AWS service portfolio. Each industry has unique requirements—fintech needs security and compliance, healthcare needs HIPAA, e-commerce needs performance and scalability. Our team holds industry-specific AWS certifications and delivers solutions meeting regulatory requirements, security standards, and business goals specific to your sector.

Yes, all AWS projects include comprehensive managed services and support. Our support packages include 24/7 monitoring with CloudWatch and alerting, incident response and troubleshooting (responded to within 1 hour for critical issues), AWS cost optimization with monthly reviews (achieving 10-20% ongoing savings), security patches and updates, infrastructure scaling adjustments, performance optimization and tuning, backup verification and disaster recovery testing, AWS account management and governance, compliance monitoring and reporting, infrastructure updates with zero downtime, monthly reports on performance, costs, and security, access to AWS-certified engineers, and architectural consultation for new features. We offer flexible tiers: Basic Support ($5K-8K/month) for monitoring and incident response, Standard Support ($8K-15K/month) including cost optimization and performance tuning, and Premium Support ($15K-35K/month) with dedicated cloud engineer and SLA guarantees. All support includes AWS Enterprise Support subscription for direct AWS technical support and 15-minute response times. Initial projects typically include 3 months free support, after which you can continue with managed services or transition to in-house with comprehensive documentation, runbooks, and Infrastructure-as-Code for complete control.

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