Unified Hyperscaler Architecture

Unified Multi-Cloud Architecture & Centralized Governance.

Break free from single-cloud lock-in. Cloud Solution Lyne connects and orchestrates AWS, Microsoft Azure, and Google Cloud into a cohesive, secure enterprise fabric with dedicated private interconnects, federated identity governance, and consolidated FinOps.

3 Clouds
AWS • Azure • GCP
< 4 ms
Private Mesh Latency
Unified
CostHub FinOps
Cross-Cloud Backbone Mesh
CONNECTED
Central Cloud Exchange HubMegaport / Equinix Fabric
10 Gbps redundant private optical backbone with BGP dynamic route convergence.
AWS REGIONDirectConnectCore Compute
AZURE REGIONExpressRouteIdentity & Apps
GCP REGIONInterconnectBigQuery & AI
Unified FinOps & IAM ControlCostHub™ Live
Provider Neutrality

AWS vs Azure vs Google Cloud Comparison

We map each hyperscaler's architectural strengths to the right enterprise workload requirements.

Capability DimensionAmazon Web Services (AWS)Microsoft AzureGoogle Cloud Platform (GCP)Multi-Cloud Best Practice
Container OrchestrationEKS + Karpenter AutoscalingAKS + Azure CNI CiliumGKE Autopilot / StandardStandardized Helm & ArgoCD GitOps
Analytics & AI/MLSageMaker, Redshift, EMRAzure OpenAI, SynapseVertex AI, BigQuery MLStream data to GCP BigQuery for ML
Identity & GovernanceIAM Identity Center (SSO)Microsoft Entra ID (PIM)Cloud Identity & WorkloadEntra ID / Okta as primary federator
Enterprise Hybrid LinksAWS DirectConnect 100GAzure ExpressRoute FastPathDedicated InterconnectEquinix / Megaport private exchange
FinOps & BillingCost Explorer & CURMicrosoft Cost ManagementBigQuery Billing ExportsCostHub™ Unified Multi-Cloud Console

Proven Multi-Cloud Architecture Patterns

Battle-tested workload placement models engineered to avoid data egress traps and operational complexity.

Pattern 01

Workload Specialization

Running transactional compute on AWS EKS, business intelligence on Google BigQuery, and enterprise desktop apps on Azure.

Pattern 02

Cross-Cloud Warm DR

Hosting primary workloads on AWS with asynchronous database replication to an Azure hot standby, guaranteeing cross-vendor survival.

Pattern 03

Data Sovereignty & Geo

Placing regional workloads in whichever provider maintains in-country datacenter compliance (e.g. GDPR, RBI, HIPAA).

Pattern 04

Commercial Leverage

Containerizing applications so workloads can be re-routed to the most cost-effective cloud provider during enterprise contract renewals.

Frequently Asked Questions

Clear technical details on executing a sustainable multi-cloud strategy.

How do you minimize cross-cloud data egress fees?

We architect workloads around data gravity. Transactional state and database reads stay local to compute tiers, while cross-cloud communication is routed over dedicated cloud exchanges (Megaport/Equinix) with compressed payloads, avoiding high public internet egress rates.

How do you achieve single-pane-of-glass visibility across AWS, Azure, and GCP?

We deploy CostHub™ for unified multi-cloud asset discovery and billing normalization, coupled with vendor-neutral OpenTelemetry agents and Grafana dashboards for cross-cloud telemetry.

How is identity and access managed across multiple clouds?

We federate corporate single sign-on (SSO) via Okta or Microsoft Entra ID into AWS IAM Identity Center and Google Cloud Identity, enforcing unified MFA and least-privilege RBAC role mappings.

When should an enterprise adopt a multi-cloud strategy?

Multi-cloud is ideal for organizations seeking commercial leverage against vendor price lock-in, regulatory compliance requiring independent backup clouds, or specialized platform capabilities (e.g. AWS compute + Google BigQuery AI/ML).

Unified Multi-Cloud

Ready to Build Your Multi-Cloud Foundation?

Schedule an architecture workshop with our multi-cloud specialists. We design cross-cloud interconnects, unified IAM federation, and single-pane FinOps monitoring.