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.