Cloud Infrastructure for Modern Workloads
We design and implement cloud infrastructure that scales with your needs - whether you're running AI workloads, microservices, or data platforms. Deep expertise across AWS, Azure, and GCP with a focus on security, cost optimization, and operational excellence.
Our Approach
Infrastructure as Code, Security by Default
How we pick the right cloud
AWS for breadth and ecosystem maturity. Azure when there's an existing Microsoft footprint or M365/AD integration. GCP for data-heavy and ML-heavy workloads where BigQuery and Gemini Enterprise Agent Platform earn their place. We recommend based on your workload, existing footprint, and team - not vendor preference.
Security & Compliance First
Zero-trust architecture, least-privilege access, encryption at rest and in transit. We build compliant infrastructure from the start, not as a retrofit.
Cost Optimization Built In
Right-sizing, reserved capacity planning, spot instance strategies, and FinOps practices. We design for cost efficiency without sacrificing performance or reliability.
AWS, Azure & GCP
Three clouds, picked for the workload - not the vendor
We have shipped on all three major clouds. Here is what we typically build on each.
Bedrock for foundation models, EKS for containers, Lambda and Step Functions for serverless workflows, RDS/Aurora and DynamoDB for data, S3-based data lakes, and SageMaker for traditional ML. Strong fit when you need the broadest service catalog and mature AI/ML primitives.
Azure AI Foundry and OpenAI Service for GenAI, AKS for containers, Functions and Logic Apps for event-driven workloads, Cosmos DB and SQL Database for data, Synapse and Fabric for analytics. Strong fit when you have an existing Microsoft footprint or enterprise integration needs.
Gemini Enterprise Agent Platform for model serving and tuning, GKE for Kubernetes, Cloud Run for serverless containers, BigQuery for analytics, Spanner and Firestore for data. Strong fit for data-heavy workloads, advanced analytics, and teams that value GCP's networking and operational tooling.
Key Offerings
Cloud Services for Modern Teams
From migration to ongoing optimization, we handle the full cloud lifecycle.
Cloud Architecture & Design
Well-architected infrastructure designs optimized for your workloads - AI/ML, data platforms, web applications, or hybrid scenarios.
Infrastructure as Code
Everything in code using Terraform/OpenTofu, CDK, Pulumi, or Bicep. Version-controlled, reviewable, and reproducible infrastructure.
Cloud Migration & Modernization
Lift-and-shift, re-platforming, or full modernization. We plan and execute migrations with minimal disruption and clear rollback strategies.
Kubernetes & Container Platforms
EKS, AKS, GKE, or self-managed clusters. We design container platforms with proper networking, security, and observability.
AI/ML Infrastructure
GPU clusters, model serving infrastructure, vector databases, and the compute resources your AI workloads need to perform.
Security & Compliance
IAM design, network security, secrets management, and compliance frameworks (SOC 2, HIPAA, GDPR) implemented properly.
Benefits
Why Our Cloud Approach Works
Predictable Costs
No surprise bills. We implement cost controls, alerts, and optimization strategies that keep spending predictable.
Operational Excellence
Automated deployments, self-healing infrastructure, and proper observability mean fewer 3am pages.
Security Confidence
Sleep better knowing your infrastructure follows security best practices and compliance requirements.
Scalability When You Need It
Infrastructure that grows with your business - whether that's handling traffic spikes or expanding AI workloads.
Ready to Modernize Your Infrastructure?
Let's discuss your cloud strategy - whether you're migrating, optimizing, or building something new.