Hybrid & Multi-Cloud
One architecture across Dollu Cloud, AWS, Azure and Google Cloud - private interconnects, unified management, cost governance and workload placement guided by latency, residency and economics rather than habit.
4
Clouds under one control plane
40+
PoPs with hyperscaler on-ramps
25–40%
Typical cloud spend reduction
What is Hybrid & Multi-Cloud?
Most enterprises already run more than one cloud, usually by accident: a hyperscaler chosen by a development team, a SaaS estate, an on-premises data centre that is not going away and a growing edge footprint. Dollu Hybrid & Multi-Cloud turns that accident into an architecture. We design the connectivity, identity, security and operational model that lets workloads run in the right place - Dollu Cloud for latency-sensitive and data-resident systems, AWS, Azure or Google Cloud for services that only exist there, and your own facilities for what must stay on premises - while presenting one control plane to your teams.
Connectivity is the foundation. Dollu operates private interconnects to AWS Direct Connect, Azure ExpressRoute and Google Cloud Interconnect at our London, Frankfurt, Amsterdam, Ashburn, Mumbai and Singapore PoPs, and extends them across our MPLS and SD-WAN fabric to your sites and to Dollu Cloud regions. Traffic between clouds never touches the public internet, latency is deterministic and egress from hyperscalers over private interconnect is materially cheaper than over the internet. Redundant circuits, BGP-based failover and per-VRF segmentation are standard.
Above the network we provide unified management: a single identity source federated to every cloud, consistent tagging and policy-as-code, a shared observability plane for metrics, logs and traces, and a service catalogue so teams request infrastructure the same way regardless of where it lands. Security posture is applied uniformly through cloud-native controls and, where you use them, Dollu managed firewall and SASE services. Our engineers hold current AWS, Azure and Google Cloud professional certifications and operate all four environments daily.
Cost governance is treated as engineering, not accounting. We baseline spend across every provider, allocate it to teams and products, model the true cost of running each workload in each location - including data transfer, licensing and operational overhead - and make placement recommendations you can act on. Commitment purchasing, rightsizing and scheduling are executed on your behalf if you choose managed FinOps, with savings reported monthly against the baseline.
Why choose Dollu for hybrid & multi-cloud.
The advantages of buying from a carrier that owns its network, interconnects and operations - rather than a reseller.
Run each workload where it belongs
Data-resident and latency-sensitive systems on Dollu Cloud, cloud-native services on the hyperscaler that has them, legacy on premises - chosen deliberately with a placement model, not inherited from past decisions.
Private paths between every cloud
Direct Connect, ExpressRoute and Cloud Interconnect terminate on the Dollu backbone, so cloud-to-cloud and site-to-cloud traffic is private, low-latency and cheaper to egress.
One way of working for your teams
Same identity, same tagging, same pipelines, same request process and same dashboards regardless of provider - fewer specialists needed and fewer configuration gaps between environments.
Spend you can see and control
Every rupee, euro and dollar allocated to a product or team, with commitments, rightsizing and scheduling managed centrally. Customers typically reduce cloud spend by 25–40 percent in the first year.
Uniform security posture
Guardrails, encryption standards, logging and network segmentation applied consistently across clouds, with Dollu firewall, SASE and MDR services layered on where cloud-native controls are not enough.
Capabilities in detail.
Everything included with Hybrid & Multi-Cloud - the platform features, options and controls you get from day one.
- 01
Hyperscaler private interconnects
Redundant 1G to 100G connections to AWS Direct Connect, Azure ExpressRoute and Google Cloud Interconnect at London, Frankfurt, Amsterdam, Ashburn, Mumbai and Singapore, hosted or dedicated, with BGP failover.
- 02
Multi-cloud network fabric
Layer-3 VRFs and layer-2 extensions stitched across Dollu MPLS, SD-WAN, Dollu Cloud regions and hyperscaler VPCs/VNets; centrally managed routing, segmentation and QoS with per-VRF visibility.
- 03
Landing zones and guardrails
Account/subscription/project structures, IAM federation, network baselines, logging and policy-as-code guardrails built to each provider's well-architected framework and to a common Dollu standard.
- 04
Unified observability
Metrics, logs and traces from every cloud and on-premises environment aggregated into one platform, with service-level dashboards, cross-cloud alert correlation and shared on-call routing.
- 05
Workload placement modelling
Per-workload analysis of latency to users and dependencies, data-residency obligations, licensing terms, egress patterns and run cost across candidate locations, producing a ranked placement recommendation.
- 06
FinOps and cost governance
Consolidated billing ingestion, tag-based allocation, anomaly detection, commitment and reservation management, rightsizing and scheduling automation, and monthly savings reporting against baseline.
- 07
Data and application mobility
Replication and migration tooling for VMs, containers and databases between clouds; container platforms and Terraform modules kept portable so a placement decision can be revisited.
- 08
Managed multi-cloud operations
Optional 24×7 operations across all connected clouds by Dollu SREs: patching, backup verification, incident response, change management and quarterly architecture reviews.
How it works.
From first conversation to live traffic - a tracked, engineer-led onboarding with a named owner at every step.
- Step 01
Discover
We inventory every cloud account, on-premises environment, network path and cost line, and interview application owners to capture latency, residency and dependency requirements.
- Step 02
Design
You receive a target architecture: interconnect topology, network segmentation, identity federation, landing-zone standards, observability model and a placement recommendation per workload.
- Step 03
Connect and standardise
Private interconnects are turned up at the nearest PoPs, VRFs and landing zones are built from code, identity is federated and the observability and FinOps platforms are connected to every provider.
- Step 04
Place and migrate
Workloads move according to the placement plan in prioritised waves, with rehearsed cutovers and rollback paths. Nothing moves before its network, security and monitoring are proven.
- Step 05
Govern
Monthly cost and performance reviews, policy drift reporting and quarterly architecture reviews keep the estate aligned with the plan as your business and the providers change.
Who uses this and why.
Typical deployments across carriers, enterprises, platforms and contact centres.
Manufacturing and industrial
Plant systems and MES on premises or at the edge, ERP and analytics in a hyperscaler, and OT data lakes on Dollu Cloud in-country, connected over private paths with deterministic latency.
Banking and financial services
Core systems in a regulated in-country region, digital channels on a hyperscaler, and DR across both, with segmentation and audit trails that satisfy RBI, PCI-DSS and GDPR examiners.
Healthcare providers
Patient records and imaging kept in-country on Dollu Cloud or on premises, cloud-native analytics and AI services consumed privately from a hyperscaler without exposing PHI to the internet.
SaaS and platform businesses
Run compute where customers are, use hyperscaler-only services where they add value, and keep the option to move workloads when pricing or performance changes.
Retail and consumer brands
Store and warehouse systems on SD-WAN, e-commerce on a hyperscaler, and contact-centre and voice workloads on Dollu Cloud next to the carrier core, all under one cost and security model.
Technical & commercial specifications.
Key parameters at a glance. Ask us for the full service description and SLA document.
| Clouds supported | Dollu Cloud, AWS, Microsoft Azure, Google Cloud, on-premises/colo |
|---|---|
| Interconnects | Direct Connect, ExpressRoute, Cloud Interconnect; 1G–100G; redundant |
| Interconnect PoPs | London, Frankfurt, Amsterdam, Ashburn, Mumbai, Singapore |
| Network fabric | L3 VRFs and L2 extensions over Dollu MPLS/SD-WAN; BGP failover |
| Identity | SAML/OIDC federation to all providers; SCIM provisioning |
| Observability | Metrics, logs, traces aggregated; cross-cloud alert correlation |
| FinOps | Billing ingestion, allocation, commitments, monthly savings report |
| Infrastructure as code | Terraform, provider-native IaC; policy-as-code guardrails |
| Operations | Optional 24×7 managed operations across all clouds |
| Support | 24×7 NOC; P1 response ≤ 15 min; named account manager |
How Cloud is priced.
Cloud and hosting are priced per resource - compute, storage, network egress, backup volume - with managed-service tiers on top. Migrations and DR projects are quoted as fixed scope.
We publish the model, not a public rate card - actual rates depend on destination, route class, volume and regulatory cost. See how every Dollu service is priced.
- Per resource: compute, storage, egress, backup volume
- Managed-service tiers per environment
- Reserved-capacity discounts on 12–36 month terms
- Migration and DR projects as fixed-scope quotes
- Billing
- Monthly recurring plus metered usage; itemised resources on every invoice
- Commitment
- On demand, or reserved for 12–36 months
Hybrid & Multi-Cloud - your questions answered.
The questions customers and carriers ask us most often before they interconnect. If yours is not here, our team answers within one business day.
Still have a question?
Ask our solutions teamRelated services.
Services customers commonly combine with Hybrid & Multi-Cloud.
Map your multi-cloud estate.
Book a discovery workshop and we will return an interconnect topology, a governance model and a workload placement recommendation for your top twenty systems.
