Public cloud, private cloud —both engineered as one.
Cloud migration services for enterprises across public, private and hybrid cloud — sourced from multiple hyperscalers and our own private cloud, architected, migrated, secured and run by a single accountable team.
FitFinder
Which kind of cloud are you looking for?
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Public Cloud
Hyperscaler services on AWS, Azure or Google Cloud — global reach, elastic scale and the deepest managed-service catalog.
Public Cloud
Hyperscaler environments
We architect, migrate, and manage your AWS, Azure, or Google Cloud environment — sourcing licensing and infrastructure through our partner network to get the best combination of pricing, support, and terms for your specific need.
- Landing zones & multi-account setup
- Lift-and-shift and re-platform migrations
- FinOps and cost optimization
- Well-Architected reviews & hardening
- Kubernetes on managed clusters
- 24/7 managed operations
Private Cloud Plans
Concrete plans. Custom builds. All operated by us.
Start on a right-sized VPS, move up to dedicated hardware, or hand us your application to host and manage end-to-end. Pricing is tailored per deployment — request a quote and we'll come back with a firm number.
VPS Plans
Starter
Starting from ₹999/mo- 2 Cores
- 4 GB RAM
- 50 GB SSD
- 2 TB Transfer
Growth
On quote- 4 Cores
- 8 GB RAM
- 100 GB SSD
- Unlimited Transfer
Business
On quote- 6 Cores
- 16 GB RAM
- 200 GB SSD
- Unlimited Transfer
Enterprise
On quote- 8 Cores
- 32 GB RAM
- 500 GB SSD
- Unlimited Transfer
Dedicated Server Plans
Need more? Custom builds up to 512 GB RAM, 16 TB + 16 TB storage, 2 Gbps bandwidth.
Get QuoteManaged Application Hosting
Hybrid Cloud
Private for the app. Public for the data.
Most workloads don't need to be all-in on one model. We connect the predictable, sovereign side of your stack — application servers and frontends on our private cloud — to the elastic, data-heavy side running on AWS, Azure, or Google Cloud. One architecture, designed and operated by us.
Private Layer
Archonova datacenters
- Application servers
- Frontends & APIs
- Predictable monthly cost
- Data residency you can point to
Public Layer
AWS · Azure · Google Cloud
- Managed databases at scale
- Analytics & data warehousing
- ML pipelines & GPU workloads
- Elastic burst capacity
Related
Cloud cost optimization
Rightsizing, reservations and savings plans, spot capacity, storage tiering and cost allocation — the practices we use to keep cloud spend proportional to the workload.
Overview
One cloud practice. Every layer of the stack.
From account structure to bare metal, we design and operate cloud environments as coherent systems — not disconnected line items.
Hyperscaler architecture
Landing zones, network topology and identity on AWS, Azure and Google Cloud — production-ready from day one.
Private cloud fleet
VPS and dedicated servers in Archonova datacenters across three regions, with two more coming online.
Data residency you can point to
Physical presence in India, the Netherlands and the UAE. Choose where your workload lives — and prove it.
Security & compliance
Hardened baselines, encryption, key management and audit trails wired into every environment we deliver.
FinOps & cost control
Rightsizing, reservations and continuous optimization — cloud that scales up without runaway spend.
Migrations, done properly
Lift-and-shift, re-platform or re-architect — sequenced to minimize risk and downtime, executed by senior engineers.
Outcomes
What a cloud engagement is meant to change
Cloud work is judged on resilience, cost and speed of change — not on which logo runs the hypervisor.
A recovery position you have actually tested
Backup, replication and failover designed to a stated recovery point and recovery time, then rehearsed — so the plan is evidence rather than a document.
Spend that maps to workloads
Tagging, rightsizing and commitment planning make it clear which application, team or client each rupee of infrastructure serves.
Environments provisioned in hours, not weeks
Infrastructure defined as code so a new environment is a reviewed change, repeatable and identical to the last one.
Workloads placed where they belong
Public, private and colocated capacity chosen per workload on data residency, latency, licensing and cost — not as a single all-or-nothing platform bet.
Access you can prove
Identity-based access, least privilege, network segmentation and audit logging in place from build, so an audit request is a report rather than a project.
An exit that stays open
Portable patterns and documented dependencies so moving a workload later is a planned migration rather than a rebuild.
Process
How a cloud engagement unfolds.
A disciplined path from ambition to production. Every step is signed off before the next one begins.
- 01
Assess
Inventory, dependencies, cost model and regulatory constraints — the ground truth before any diagrams.
- 02
Architect
Reference architecture across public and/or private cloud, with security, network and cost baked in.
- 03
Migrate & build
Landing zone, workloads and pipelines shipped by senior engineering pods — with rollback plans, always.
- 04
Operate
24/7 monitoring, patching and FinOps — your platform stays performant, compliant and quiet.
Tech stack
The technologies we work in every day.
Fluent across virtualization, orchestration and the operational layer that keeps platforms running.
Engagement model
How cloud engagements are structured
From a one-off assessment to running the platform for you — scoped so you buy the level of involvement you actually need.
Assessment and landing zone design
A fixed-scope review of current workloads, dependencies, cost and risk, ending with a target architecture, account and network design, security baseline and a sequenced migration plan with costs attached.
Best for: Before a first migration or a platform consolidation.
Migration and build
Executing the plan wave by wave: landing zone, infrastructure as code, workload migration, cutover rehearsal and hypercare, with rollback defined for every wave.
Best for: Datacentre exits, consolidations and re-platforming.
Managed cloud operations
We run the platform: monitoring, patching, backup verification, capacity and cost review, incident response and change management under an agreed service level and reporting rhythm.
Best for: Teams without a dedicated infrastructure function.
Embedded platform engineering
Our engineers work inside your team on your backlog, adding cloud and automation depth while your architects keep direction and decision rights.
Best for: In-house teams scaling faster than they can hire.
Industries served
Trusted across regulated and high-throughput sectors.
Cloud patterns hardened by the sectors that demand the most from them.
- FinanceRBI/SEBI-regulated environment
- HealthcareDPDP & data-privacy focused
- GovernmentPublic-sector compliance
- ManufacturingOT/ICS-aware
- RetailPCI-DSS aware
- EducationStudent data-privacy focused
- HospitalityGuest-data & PCI-DSS aware
- StartupsBuilt for speed, not red tape
- EnterpriseAudit-ready, governance-first
FAQ
Questions we get asked about cloud engagements
Cost model, lock-in, data residency, support levels and what happens when something breaks at 2am.
Let's design your cloud.
Tell us where you're going. We'll bring the architecture, the engineers, and — if you want — the datacenters too.