Cloud Architecture Design
Architect resilient, scalable, and cost-efficient cloud infrastructure across AWS, Azure, and GCP. We design systems that handle millions of requests while keeping your cloud bill predictable.
Multi-Cloud Infrastructure as Code
We combine Terraform modules with architecture decision records to deliver repeatable, auditable, and version-controlled cloud environments.
Multi-Cloud Provisioning with Terraform
Define your entire infrastructure in declarative HCL. Our reusable module library covers networking, compute, storage, databases, and security across AWS, Azure, and GCP.
- Reusable Terraform modules
- State locking with remote backends
- Automated drift detection
- Cost estimation before apply
module "vpc" {
source = "./modules/networking/vpc"
cidr = "10.0.0.0/16"
region = "us-east-2"
azs = ["a", "b", "c"]
enable_nat = true
}
module "eks" {
source = "./modules/compute/eks"
cluster_name = "prod-cluster"
vpc_id = module.vpc.id
node_count = 3
instance_type = "m6i.xlarge"
}Architecture Decision Records
Every design choice is documented in version-controlled ADRs. This ensures your team understands the reasoning behind each architectural decision long after deployment.
- Traceable design decisions
- Team knowledge retention
- Compliance audit support
- Lightweight Markdown format
# ADR-007: Use Event-Driven Architecture
## Status
Accepted
## Context
Services need loose coupling for
independent scaling and deployment.
## Decision
Adopt SNS/SQS for async messaging
between bounded contexts.
## Consequences
+ Independent service scaling
+ Fault isolation between domains
- Eventual consistency tradeoffsArchitectures We Design
From multi-region deployments to AI infrastructure, we architect solutions for every scale.
Multi-Region Deployments
Active-active and active-passive topologies with global load balancing, data replication, and automatic failover across continents.
Hybrid Cloud
Seamlessly connect on-premises data centers with cloud resources using VPN tunnels, ExpressRoute, and hybrid identity management.
Serverless Architecture
Event-driven, pay-per-execution architectures using Lambda, Azure Functions, and Cloud Run for maximum efficiency and minimal ops overhead.
Data Lake Design
Centralized data lakes with medallion architecture, automated ETL pipelines, and governance policies for analytics and machine learning workloads.
AI/ML Infrastructure
GPU-optimized compute clusters, model training pipelines, feature stores, and inference endpoints scaled for production AI workloads.
Disaster Recovery
RPO and RTO-driven DR strategies with automated backup, cross-region replication, and regularly tested failover runbooks.
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