Cloud Infrastructure
Scalable, secure cloud architecture across AWS, Azure, GCP, and Oracle Cloud
Build on a solid foundation. We design and implement scalable, secure cloud architecture optimized for performance and cost across AWS, Microsoft Azure, Google Cloud Platform, and Oracle Cloud Infrastructure.
What we deliver#
Cloud Architecture Design#
Well-architected solutions tailored to your specific requirements.
Design principles:
- Scalability — Horizontal and vertical scaling patterns
- Resilience — Multi-AZ and multi-region architectures
- Security — Defense in depth, zero-trust networking
- Cost Optimization — Right-sized resources, reserved capacity
- Operational Excellence — Automation, monitoring, documentation
Infrastructure as Code#
Version-controlled, reproducible infrastructure that eliminates configuration drift.
| Tool | Primary Use |
|---|---|
| Terraform | Multi-cloud infrastructure provisioning |
| Pulumi | Infrastructure in TypeScript, Python, Go |
| CloudFormation | AWS-native with drift detection |
| Bicep | Azure Resource Manager simplified |
Cloud Migration#
Seamless migration from on-premises or between cloud providers.
Migration approaches:
Lift and Shift Direct migration with minimal changes. Fastest path to cloud.
Re-platform Minor optimizations to leverage cloud services. Databases, caching, queuing.
Re-architect Rebuild applications using cloud-native patterns. Microservices, serverless.
Cloud platforms#
Core services#
Compute#
- Virtual Machines — EC2, Azure VMs, Compute Engine
- Containers — ECS, EKS, AKS, GKE, Cloud Run
- Serverless — Lambda, Azure Functions, Cloud Functions
- Batch Processing — AWS Batch, Azure Batch, Cloud Batch
Networking#
- Virtual Networks — VPC design, subnetting, routing
- Load Balancing — Application and network load balancers
- CDN — CloudFront, Azure CDN, Cloud CDN
- DNS — Route 53, Azure DNS, Cloud DNS
- VPN/Direct Connect — Hybrid connectivity solutions
Storage#
- Object Storage — S3, Blob Storage, Cloud Storage
- Block Storage — EBS, Managed Disks, Persistent Disks
- File Storage — EFS, Azure Files, Filestore
- Data Lakes — S3 + Athena, ADLS, BigQuery
Databases#
- Relational — RDS, Azure SQL, Cloud SQL
- NoSQL — DynamoDB, Cosmos DB, Firestore
- Caching — ElastiCache, Azure Cache, Memorystore
- Data Warehouse — Redshift, Synapse, BigQuery
Cost optimization#
Reduce cloud spend while improving performance.
Optimization strategies:
- Right-sizing — Match resource allocation to actual usage
- Reserved Capacity — Commit for discounts on stable workloads
- Spot/Preemptible — Use interruptible compute for batch jobs
- Auto-scaling — Scale down during low-demand periods
- Storage Tiering — Move cold data to cheaper storage classes
Typical results:
- 20-40% reduction in cloud spend
- Improved resource utilization
- Better cost visibility and allocation
Getting started#
Start with a free cloud architecture review. We'll assess your current infrastructure and identify optimization opportunities.
Request Review →