How do you manage identity and access across multiple cloud providers?

We implement identity federation using a central identity provider (typically your existing IdP — Okta, Azure AD, or Google Workspace) that federates trust to all cloud providers. Engineers authenticate once and receive scoped credentials for each provider. Service-to-service authentication across clouds uses workload identity federation or mutual TLS depending on the communication pattern. All access is logged to a centralised audit trail regardless of which provider the access occurred on.

How does Kubernetes federation work across cloud providers?

We deploy Kubernetes clusters on each provider using their managed Kubernetes service (EKS, GKE, AKS) and federate them through a control plane — either Admiralty, Liqo, or a custom federation layer depending on your requirements. The federation enables cross-cluster service discovery so that services in one cluster can communicate with services in another, unified deployment pipelines that deploy to all clusters simultaneously, and workload placement policies that respect data residency and latency constraints.

What does multi-cloud infrastructure cost compared to single-provider?

Multi-cloud infrastructure has higher operational complexity and therefore higher initial setup cost — typically 30-50% more than an equivalent single-provider setup. However, the ongoing cloud spend can be lower because you can place each workload on the most cost-effective provider for that region and workload type. We provide a detailed cost model before engagement that compares your current single-provider costs against the projected multi-cloud costs, including the operational overhead, so you can make an informed decision.

How does cross-cloud disaster recovery maintain data residency compliance?

Failover targets are pre-configured per jurisdiction. An EU workload running on AWS eu-west-1 fails over to GCP europe-west1 or Azure West Europe — never to a region outside the EU. The failover configuration is defined in infrastructure code and validated through regular disaster recovery drills. Data replication between primary and failover regions is continuous, with replication lag monitored and alerting configured to ensure RPO (Recovery Point Objective) targets are met.

DevOps & Cloud

Multi-cloud global infrastructure spanning AWS, GCP, and Azure with Terraform automation, Kubernetes federation, and latency-optimised CDN for multi-region SaaS presence.

Multi-cloud architecture (AWS + GCP + Azure)Terraform-managed multi-region provisioningKubernetes federation across regionsLatency-optimised global CDN configurationCross-region failover and disaster recoveryCloud cost modelling per region and provider

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Multi-Cloud Global Infrastructure: AWS, GCP, Azure, and the Architecture Between Them

Most SaaS companies start on a single cloud provider in a single region. That works until your enterprise customers in Germany require data processing within the EU on a provider that meets their procurement requirements, your APAC expansion needs infrastructure in Singapore where your current provider has limited services, and your board asks why you have no disaster recovery plan if your sole provider has a regional outage. Multi-cloud is not about using every provider for everything — it is about placing the right workloads on the right provider in the right region, managed through unified infrastructure-as-code and operated as a single coherent platform rather than three separate environments.

Why Multi-Cloud Matters for Global SaaS

A global SaaS product benefits from multi-cloud architecture in ways that go beyond vendor diversification:

Regional service availability: AWS has 33 regions, GCP has 40, and Azure has 60+. Each provider has different service availability per region. A compute workload might run best on AWS in Frankfurt, but your AI inference pipeline might need GCP's TPU availability in Tokyo, and your enterprise customers' Azure AD integration requirements might mean running an authentication service on Azure. Multi-cloud lets you place each workload where it runs best.
Enterprise procurement compliance: Many enterprise customers have approved cloud provider lists. A healthcare customer in the US might require AWS GovCloud. A German automotive company might mandate Azure Germany. A Singapore government agency might require GCP's sovereign cloud offering. Multi-cloud capability means you can meet these requirements without turning away enterprise deals.
Cost optimisation per region: Cloud pricing varies significantly by provider and region. Compute in GCP's Singapore region might be 20% cheaper than the equivalent AWS instance. Azure reserved instances might offer better pricing for predictable workloads in European regions. Multi-cloud allows you to optimise cost per region and workload type rather than accepting a single provider's pricing globally.
Resilience and disaster recovery: A single-provider outage in a single region should not take your global product offline. Multi-cloud disaster recovery means that if AWS eu-west-1 has an incident, your EU workloads fail over to GCP europe-west1 or Azure West Europe — maintaining service continuity and data residency compliance simultaneously.

Our Infrastructure Approach

Multi-Cloud Architecture Design: We map your workloads, data residency requirements, enterprise customer constraints, and cost targets to a multi-cloud topology. Each workload is assigned to the provider and region that best meets its requirements — performance, compliance, cost, and service availability. The architecture includes cross-cloud networking, identity federation, and unified monitoring.
Terraform Multi-Provider Infrastructure: All infrastructure is defined in Terraform with provider-specific modules for AWS, GCP, and Azure. A single terraform apply provisions resources across all providers, with state management that tracks the full multi-cloud inventory. Module abstractions allow workloads to be moved between providers without rewriting infrastructure code from scratch.
Kubernetes Federation: We deploy Kubernetes clusters across providers and regions, federated through a control plane that enables cross-cluster service discovery, unified deployment pipelines, and workload scheduling that respects data residency and latency constraints. A deployment to production deploys across all clusters simultaneously with canary rollout and automated rollback.
Global CDN and Latency Optimisation: We configure CDN infrastructure (Cloudflare, Fastly, or provider-native) with routing rules that direct users to the nearest healthy origin regardless of which cloud provider serves that region. Edge caching, origin shielding, and connection pooling are configured per region to minimise latency for your specific user distribution.

What You Receive

Multi-cloud architecture documentation with workload placement rationale per provider and region
Terraform infrastructure-as-code covering AWS, GCP, and Azure with unified state management
Federated Kubernetes clusters with cross-provider service mesh and unified deployment pipeline
Global CDN configuration with latency-optimised routing and regional origin selection
Cross-cloud disaster recovery with automated failover and data residency preservation
Cloud cost model per region and provider with optimisation recommendations
Operational runbooks covering multi-cloud incident response and failover procedures

When This Matters Most

Your SaaS product runs on a single cloud provider and an enterprise customer requires deployment on a different provider to meet their procurement policy. You are expanding to a region where your current provider has limited service availability or unfavourable pricing. Your board is asking about disaster recovery and your honest answer is that a regional outage on your sole provider would take the product offline. Your cloud costs are growing faster than revenue and you need a strategy that optimises spend across providers and regions.

Why SaaS Development Agency

We have designed and operated multi-cloud infrastructure for SaaS products running across AWS, GCP, and Azure simultaneously. We understand that multi-cloud is an operational discipline, not just a Terraform configuration — it requires unified monitoring, consistent security policies, and operational procedures that work across provider boundaries. Our team brings direct experience of the tradeoffs involved and designs infrastructure that is genuinely operable, not just architecturally impressive on a diagram. Book a free consultation to discuss your multi-cloud infrastructure requirements.

Frequently Asked Questions

Start with what you need. Most global SaaS products begin with a primary provider (usually AWS or GCP) and add a second provider when a specific requirement demands it — an enterprise customer's procurement policy, a regional service availability gap, or a disaster recovery mandate. Our infrastructure architecture is designed so that adding a third provider later is an extension, not a rearchitecting. We recommend against multi-cloud for its own sake — there should be a concrete reason for each provider in your topology.

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