DevOps & Cloud

Single-cloud dependency is a business risk — outages, price increases, and lock-in are real threats

We design multi-cloud architecture that spreads workloads intelligently across AWS, Azure, and GCP — reducing vendor dependency, improving resilience, and optimising cost per workload.

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The challenges you're facing

100% dependent on one cloud provider — their outage is your outage, their price increase is your problem

Different business units using different cloud providers with no unified networking, security, or governance

Data sovereignty or regulatory requirements that mandate certain workloads run in specific regions or providers

Multi-Cloud Architecture That's Practical, Not Just Theoretical

We design multi-cloud architectures that make strategic sense — not complexity for its own sake. We map workloads to the cloud best suited for them (Azure for M365-integrated workloads, GCP for AI/ML, AWS for broadest service breadth), design cross-cloud networking (VPC peering, Transit Gateway, Interconnect), implement unified identity (Okta or Azure AD as IdP), and build unified observability across all clouds.

What you get

1

Workload Assessment & Cloud Mapping

Assess all workloads against each cloud's strengths, pricing, and regulatory requirements to create a workload placement strategy.

2

Network Architecture Design

Design cross-cloud connectivity, DNS, and network security using cloud-native and third-party networking.

3

Unified Identity & Security

Design common identity provider integration, IAM federation, and security policy enforcement across clouds.

4

Unified Observability

Deploy centralised monitoring, logging, and alerting that aggregates across all cloud providers.

Technologies & tools

AWSAzureGCPTerraformOktaAviatrixDatadogPulumi

Case study — anonymised

Enterprise Software — 3 product lines

Before

3 product lines: two on AWS, one on Azure (legacy acquisition). No cross-cloud networking. 3 separate identity systems. 3 separate monitoring tools. Engineering teams siloed by cloud.

After

Unified network architecture, Okta federated across all three clouds, Datadog aggregating all metrics and logs, Terraform managing infrastructure across all providers.

Engineering collaboration across product lines enabled, operational overhead reduced by 40%, cloud spend optimised by 22% through workload right-placement across providers

Further reading

Multi-Cloud vs. Single-Cloud: Making the Right Choice

The honest answer to "should we go multi-cloud" is no for most organisations. Here's how to tell if you're the exception.

Frequently Asked Questions

Common questions from enterprise and mid-market teams across India and internationally.

Is multi-cloud actually worth the complexity?
Honest answer: for most SMEs, no. A well-architected single-cloud deployment with multi-region setup provides 99.99% availability without multi-cloud complexity. Multi-cloud makes sense when: you have a genuine regulatory requirement to distribute across providers, you've been acquired and need to integrate different cloud environments, you need best-of-breed services not available in one cloud (Azure AI + AWS data services), or your scale makes vendor negotiation leverage valuable.
What is the biggest challenge in multi-cloud?
Identity and networking. Getting consistent authentication and authorisation across clouds without sprawling IAM policies is hard. Cross-cloud networking (latency, cost, security) is also complex. These are the two areas where most multi-cloud implementations struggle, and where we spend the most design effort.
How do you handle data sovereignty across multiple clouds?
Data sovereignty requires knowing exactly where data resides at rest and in transit. We implement: cloud-native data residency controls (region pinning), data classification mapping (which data can be in which cloud/region), encryption key management per sovereignty requirement, and audit logging that proves data location compliance for regulators.
What tools help manage multi-cloud infrastructure?
Terraform is the most practical IaC tool across AWS, Azure, and GCP. Pulumi is an alternative for those preferring general programming languages. For networking: Aviatrix provides abstracted multi-cloud networking. For monitoring: Datadog, Dynatrace, and Grafana Cloud all support multi-cloud. For cost: Apptio Cloudability or CloudHealth aggregate billing across providers.

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