Cloud architecture that scales technically and economically.
From greenfield cloud-native to lift-and-shift migration to hybrid environments, Inithex architects cloud foundations engineered for scalability, security and cost-efficiency. FinOps from day one, security baked in, observability instrumented, compliance posture aligned to your regulatory requirements. AWS, Azure, Microsoft Cloud, Google Cloud — vendor-agnostic, business-outcome driven.
Our team includes Microsoft Certified architects, VMware DCV6 specialists, AWS Solutions Architects and FinOps practitioners who have migrated workloads from on-premise to cloud, between clouds, and back to on-premise when economics justify it.
What’s included in our cloud services
- Cloud architecture design — landing zones, networking, identity, security guardrails, governance frameworks.
- Cloud migration — rehost (lift-and-shift), replatform, refactor, retire — with TCO modeling per option and pilot validation.
- Cloud-native development — containers (Kubernetes EKS/AKS/GKE, ECS), serverless (Lambda, Azure Functions, Cloud Run), managed databases.
- DevOps & CI/CD — GitHub Actions, GitLab CI, Azure DevOps, Terraform, Pulumi, infrastructure-as-code.
- FinOps practice — cost monitoring, right-sizing, reserved instances, savings plans, ongoing optimization (typical 20–40% cost reduction).
- Cloud security — CSPM (Cloud Security Posture Management), IAM hardening, secrets management, compliance posture monitoring.
- Observability — CloudWatch, App Insights, Datadog, New Relic, custom dashboards, distributed tracing.
- Multi-cloud & hybrid — when one cloud isn’t the right answer for every workload — multi-cloud orchestration with Anthos, Arc or HashiCorp.
- Disaster recovery & backup — RTO/RPO-driven design with automated testing and documented runbooks.
Platforms we deploy on
Amazon Web Services (AWS) · Microsoft Azure · Microsoft 365 & Entra · Google Cloud Platform · VMware (DCV6 · vSphere · NSX · Tanzu) · DigitalOcean · Linode/Akamai. Workload-specific recommendations — not vendor-driven.
Typical outcomes from our engagements
- 30–45% infrastructure cost reduction post-migration (FinOps-driven)
- 10× faster deployment cycles via CI/CD and infrastructure-as-code
- Recovery time objectives (RTO) measured in minutes, not hours
- Compliance posture aligned with ISO 27001, SOC 2, PCI-DSS, HIPAA
- Auto-scaling responsive to demand spikes (Black Friday, marketing campaigns)
- Mean time to detect (MTTD) infrastructure issues under 60 seconds
Frequently asked questions
Should we lift-and-shift or refactor to cloud-native?
Depends on workload economics and time horizon. Lift-and-shift is faster (2–4× faster) and lower risk, but you keep paying for inefficient legacy patterns. Refactoring is more expensive upfront but unlocks 30–60% ongoing cost reduction and cloud-native capabilities. We typically recommend lift-and-shift first for time-pressured migrations, then refactor high-cost workloads in phase 2.
How much can we save by migrating to cloud?
Variable. We’ve seen 15% to 50% TCO reduction over 3 years, but it requires FinOps discipline — right-sizing, reserved capacity, spot instances, auto-scaling, automated shutdown of non-production. Without FinOps, lift-and-shift migrations often cost MORE than on-premise. We always include FinOps in our migrations.
AWS vs Azure vs GCP — how do we choose?
AWS is the broadest and most mature, best for general-purpose enterprise. Azure has deep Microsoft 365/Entra integration, often the right choice for Microsoft-centric organizations. GCP excels at data, analytics and ML workloads. We typically recommend based on: existing skills, vendor relationships, specific managed services needed, and regional availability for compliance.
How do you ensure cloud security?
Defense-in-depth from day one: identity-first (SSO + MFA), network segmentation (VPC isolation, security groups), encryption everywhere (at-rest + in-transit), CSPM continuous monitoring (Prisma Cloud, Wiz, native tools), secrets management (Vault, AWS Secrets Manager), audit logging (CloudTrail, Activity Log), and compliance frameworks pre-baked into IaC templates.
Do you support multi-cloud deployments?
Yes, when it makes sense. Pure multi-cloud (workloads spanning AWS + Azure + GCP) is rarely the right answer — operational overhead is high. More common (and what we recommend): primary cloud + specific workloads in another (e.g., AWS primary, Microsoft 365 + Entra in Azure, BigQuery in GCP for analytics). We architect for this hybrid reality.