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Multi-region cloud architecture, Kubernetes platforms, and DevOps pipelines engineered for compliance, scale, and predictable cost - on AWS, Azure, and GCP.
From greenfield architecture to legacy migration, FinOps to compliance - we ship the full stack.
AWS, Azure, and GCP reference architectures. Account structures, landing zones, networking, and IAM designed for security and scale from day one.
Production-grade EKS, AKS, and GKE clusters with GitOps, autoscaling, and observability baked in.
Lambda, Step Functions, EventBridge, and Cloud Run for workloads that should scale to zero and only pay for what they use.
Active-active and active-passive deployments with documented RTO/RPO. Automated failover tested every quarter, not just at launch.
FinOps reviews, right-sizing, savings plans, and architecture refactors that have cut client cloud bills by 30–60%.
Datadog, Grafana, CloudWatch, and OpenTelemetry pipelines so on-call engineers actually know what's broken at 3am.
Every cloud is different. These principles hold across all of them.
Least privilege IAM, encryption at rest and in transit, KMS-managed keys, and audit trails. SOC 2 / HIPAA / PCI-ready.
Everything in Terraform or Pulumi. No click-ops. Every change reviewed, versioned, and reproducible across environments.
Private subnets, VPC endpoints, mTLS service-to-service, and bastion-less access through SSM and IAP.
Architectures designed for the worst day - region outage, surge traffic, ransomware. Tested, not hoped.
Audit current state, identify risks, model target architecture with explicit trade-offs and cost projections.
Terraform modules, network topology, IAM model, CI/CD pipelines, and runbooks delivered before any prod change.
Phased migration with parallel running, blue/green deploys, and explicit rollback. No big-bang weekends.
24/7 monitoring, monthly cost reviews, quarterly DR drills, ongoing FinOps and security posture management.
Book a 30-minute call. We'll review your current cloud, flag the top 3 risks, and outline a target state - no commitment.