Skip to main content

AWS Cloud Services

Scalable, secure, production-grade cloud infrastructure on AWS.

We build and manage enterprise-grade AWS infrastructure — from serverless architectures and container orchestration to data pipelines, AI/ML workloads, and DevOps automation. Our AWS-certified engineers design solutions that scale with your business while optimizing cost and performance.

5Capabilities
4Specialized Services
What We Deliver

Our Capabilities

01

Scalable Backend Systems & Microservices

Design and build production-ready backend architectures on AWS. From monolith-to-microservice migrations to greenfield builds — we architect systems for reliability, performance, and horizontal scalability.

  • Microservices architecture with API Gateway and load balancing
  • Event-driven systems with SQS, SNS, and EventBridge
  • Database design — RDS, DynamoDB, Aurora, ElastiCache
  • High-availability and disaster recovery architecture
  • Multi-region deployment for global applications
AWS
Scalable Backend Systems & Microservices
02

Serverless & Containers

Build cost-efficient, auto-scaling applications with AWS Lambda, ECS, EKS, and Fargate. We help you choose the right compute model and implement it with production-grade monitoring and CI/CD.

  • AWS Lambda — serverless functions with Step Functions orchestration
  • ECS/Fargate — containerized workloads without managing infrastructure
  • EKS — managed Kubernetes for complex container orchestration
  • API Gateway — RESTful and WebSocket API management
  • Cost optimization through right-sizing and reserved capacity
AWS
Serverless & Containers
03

AI Pipelines & Data Processing

Build end-to-end data and AI/ML pipelines on AWS. From data ingestion and transformation to model training, deployment, and inference — we architect pipelines that handle terabytes of data reliably.

  • SageMaker — model training, deployment, and MLOps
  • Bedrock — managed foundation models (Claude, Titan, Llama)
  • Glue, EMR, and Athena for ETL and analytics
  • Kinesis and MSK for real-time data streaming
  • S3 data lakes with Lake Formation governance
AWS
AI Pipelines & Data Processing
04

DevOps & CI/CD

Automate your entire software delivery lifecycle on AWS. From infrastructure-as-code with CloudFormation/CDK to CI/CD pipelines, monitoring, and alerting — we build DevOps practices that accelerate your team.

  • CloudFormation and CDK for infrastructure-as-code
  • CodePipeline, CodeBuild, and CodeDeploy for CI/CD
  • CloudWatch, X-Ray, and CloudTrail for observability
  • Automated security scanning and compliance checks
  • Blue/green and canary deployment strategies
AWS
DevOps & CI/CD
05

Security & High Availability

Implement AWS Well-Architected security practices across your infrastructure. From IAM policies and VPC design to encryption, WAF, and compliance frameworks — we ensure your AWS environment meets enterprise security standards.

  • IAM policies, roles, and identity federation (SSO, SAML)
  • VPC design — subnets, security groups, NACLs, transit gateway
  • WAF, Shield, and GuardDuty for threat protection
  • KMS encryption, Secrets Manager, and certificate management
  • SOC 2, HIPAA, and PCI-DSS compliance architecture
AWS
Security & High Availability
Case Studies

AWS Cloud Services Success Stories

See how we've delivered measurable results with aws cloud services.

Serverless Data Pipeline & Real-Time Analytics on AWS
8 hours → 30 seconds
Data Latency
Technology

Serverless Data Pipeline & Real-Time Analytics on AWS

Velocity Analytics Inc.

Velocity, a B2B analytics platform processing 500M+ events daily, was running a fragile on-premise ETL pipeline that took 8 hours to produce daily reports. Data latency meant customers were making decisions on stale information. Infrastructure costs were escalating with every new client onboarding, and the engineering team spent 40% of their time on pipeline maintenance rather than product development. The company needed a scalable, real-time data architecture that could grow with their client base while integrating processed insights back into Salesforce for their customer success team.

AWS LambdaAmazon KinesisAmazon RedshiftAmazon S3
Read Case Study
Migrating a Legacy E-Commerce Platform to AWS Microservices
99.99%
Platform Uptime
Retail

Migrating a Legacy E-Commerce Platform to AWS Microservices

ShopStream Digital

ShopStream's monolithic e-commerce platform was buckling under peak-season traffic, suffering frequent outages during flash sales and Black Friday events. The single Java application running on co-located servers could not scale horizontally, and deployments required full system downtime — resulting in an estimated $2.4M in lost revenue per year from availability issues alone.

AWS LambdaAPI GatewayDynamoDBCloudFront
Read Case Study
CI/CD Transformation with AWS DevOps and Infrastructure as Code
15x increase
Deployment Frequency
Technology

CI/CD Transformation with AWS DevOps and Infrastructure as Code

DeployFast Technologies

DeployFast's engineering team of 85 developers was deploying to production only twice per month through a manual, error-prone release process. Each deployment required a 4-hour maintenance window, and one in five releases resulted in a production incident requiring emergency rollback. The lack of automated testing and infrastructure consistency was crippling the team's ability to ship features and respond to customer issues.

AWS CodePipelineECSTerraformCloudWatch
Read Case Study