# Multi Cloud Strategy: Why Organisations Are Spreading Their Workloads Across Providers
There was a time when choosing a cloud provider felt like selecting a long term partner. You picked AWS, Azure, or Google Cloud and committed fully. It worked, for a while.
Then the bills started arriving. Egress charges. Price increases. Vendor lock in.
Multi cloud strategies have emerged as the pragmatic response.
## Understanding Multi Cloud
Multi cloud differs from hybrid cloud. Hybrid cloud combines on premises infrastructure with cloud services. Multi cloud uses multiple cloud providers simultaneously.
The approach introduces complexity, but the benefits increasingly outweigh the challenges.
## The Case Against Single Cloud
**Vendor lock-in** manifests gradually. You adopt proprietary services. You build expertise in one platform. Moving workloads elsewhere requires significant effort.
**Cost optimisation** becomes nearly impossible when you lack alternatives.
**Resilience concerns** extend beyond individual service outages. Major cloud providers have experienced region wide incidents.
## Practical Multi Cloud Approaches
**Disaster recovery** often provides the initial foothold. Running production on one cloud while maintaining recovery capability on another.
**Best of breed selection** places specific workloads where they excel.
**Cost arbitrage** exploits pricing differences across providers.
## Abstraction Strategies
**Kubernetes** has become the dominant workload portability layer.
**Infrastructure as Code** tools like Terraform abstract provider differences.
If you would like guidance on developing a multi cloud strategy, contact us through our contact page.
## The Two Multi-Cloud Strategies (and Only One Usually Works)
In practice, there are two approaches:
**1) Best-of-breed services.** You use a second cloud for a specific capability (for example analytics, AI services, or a region constraint).
**2) Active-active portability.** You attempt to run everything on any provider at any time.
Most organisations succeed with the first. The second is possible but expensive: you pay in duplicated engineering, lowest-common-denominator services, and complex operations.
## A Sensible Governance Model
- Define **approved landing zones** per provider.
- Standardise **identity** (SSO, MFA, conditional access) and **logging** across clouds.
- Use **tagging/labels** as mandatory metadata for cost allocation.
- Adopt **guardrails** (policy-as-code) so teams do not create public endpoints by accident.
## Exit Strategy Without the Theatre
Your real exit strategy is:
- containerisation where it makes sense,
- portable CI/CD,
- data export pathways,
- and clear documentation.
Treat “we can leave in 30 days” claims as marketing unless you have rehearsed it.
## The Two Multi-Cloud Strategies (and Only One Usually Works)
In practice, there are two approaches:
**1) Best-of-breed services.** You use a second cloud for a specific capability (for example analytics, AI services, or a region constraint).
**2) Active-active portability.** You attempt to run everything on any provider at any time.
Most organisations succeed with the first. The second is possible but expensive: you pay in duplicated engineering, lowest-common-denominator services, and complex operations.
## A Sensible Governance Model
- Define **approved landing zones** per provider.
- Standardise **identity** (SSO, MFA, conditional access) and **logging** across clouds.
- Use **tagging/labels** as mandatory metadata for cost allocation.
- Adopt **guardrails** (policy-as-code) so teams do not create public endpoints by accident.
## Exit Strategy Without the Theatre
Your real exit strategy is:
- containerisation where it makes sense,
- portable CI/CD,
- data export pathways,
- and clear documentation.
Treat “we can leave in 30 days” claims as marketing unless you have rehearsed it.