The Infrastructure Behind the Internet's Largest Companies
Amazon Web Services (AWS) launched in 2006 and pioneered the infrastructure-as-a-service (IaaS) model that transformed how businesses build and scale technology. Today, AWS powers a significant portion of the internet, from startups to the world's largest enterprises.
With over 200 fully-featured services spanning compute, storage, databases, analytics, machine learning, and more, AWS provides the building blocks for virtually any application. Its global infrastructure spans 30+ regions with 90+ availability zones.
We use AWS for enterprise clients with complex compliance requirements, machine learning infrastructure, and organizations with existing AWS investments. For simpler web applications, we recommend more focused platforms like Vercel or Cloudflare.
Technical Specifications
Why Choose AWS?
The features that make AWS the foundation for enterprise-scale applications requiring comprehensive cloud infrastructure.
Comprehensive Service Catalog
Over 200 fully-featured services covering compute, storage, databases, analytics, ML, IoT, and more.
Global Infrastructure
Deploy across 30+ regions with 90+ availability zones for multi-region redundancy and low latency worldwide.
Enterprise Compliance
HIPAA, SOC, PCI-DSS, and many other certifications for regulated industries and enterprise requirements.
AI & Machine Learning
SageMaker, Bedrock, and comprehensive ML services for building and deploying intelligent applications.
Flexible Compute Options
EC2 instances, Lambda serverless, ECS/EKS containers, and Fargate for any workload pattern.
Security & Identity
IAM, VPC, WAF, and extensive security services to protect your infrastructure and data.
Key AWS Services
The core AWS services we leverage for enterprise solutions.
Compute
- EC2 (Virtual Servers)
- Lambda (Serverless)
- ECS/EKS (Containers)
- Fargate (Serverless Containers)
Database
- RDS (Managed SQL)
- DynamoDB (NoSQL)
- ElastiCache (Redis/Memcached)
- Aurora (High-Performance)
Storage
- S3 (Object Storage)
- EBS (Block Storage)
- EFS (File System)
- Glacier (Archive)
AI/ML
- SageMaker (ML Platform)
- Bedrock (Foundation Models)
- Rekognition (Vision)
- Transcribe (Speech)
Perfect For
- Enterprise applications with complex requirements
- Machine learning and AI infrastructure
- Global multi-region deployments
- Projects with strict compliance requirements (HIPAA, SOC, PCI-DSS)
- Big data analytics at any scale
- Organizations with existing AWS infrastructure
Consider Alternatives When
- Simple static websites (Vercel or Cloudflare are simpler)
- Small projects or startups without DevOps resources
- Teams without AWS expertise (steep learning curve)
- Budget-constrained projects (complex pricing requires optimization)
When We Recommend AWS
We deploy AWS solutions for enterprise clients with specific infrastructure requirements that justify the platform's complexity and investment.
Enterprise Compliance
When HIPAA, SOC, or PCI-DSS compliance is required
Machine Learning
SageMaker and Bedrock for AI/ML infrastructure
Global Scale
Multi-region deployments with strict latency requirements
Existing Investment
Organizations with existing AWS infrastructure and expertise