Most companies in our region already run on Microsoft, AWS, on-premises or a mix of those. We add Google Cloud where it makes sense, for agentic AI, faster data insights, a continuity plan that holds up or simply less dependence on one provider.
The right platform for each job, working alongside the landscape you already have.
Avoid vendor lock-in by choosing the best platform per use case
With the right approach, multi-cloud adds flexibility without the operational headache.
We help you add Google Cloud to your existing environment in a pragmatic, business-driven way, without massive migration projects or disruption to what already works. For each use case, we look at which platform delivers the best functionality, the best cost efficiency, or both.
Here are a few workloads where Google Cloud stands out.
Connect Google’s AI platform (Gemini and Gemini Enterprise Agent Platform) directly to business applications like SAP, Oracle or Salesforce. Your legacy systems stay untouched while you deploy AI agents and smart automation on top, without a risky migration.
BigQuery is a serverless data warehouse for real-time, heavy-duty analytics with AI built in, and it supports open standards like Apache Iceberg. You get top-tier insights while your operational databases stay exactly where they are.
Kubernetes started at Google, and GKE is one of the most mature ways to run it. Run your containerized workloads across Google Cloud, AWS, Azure or on-premises with one platform and consistent operations.
Multi-cloud is simpler (and cheaper) than you think
One of the biggest misconceptions we hear is that running multiple clouds is automatically complex and expensive. In practice, the opposite is often true.
Simpler, because it builds on what your team already knows
Google Cloud is built on open-source standards like Kubernetes, PostgreSQL and Apache Iceberg. Your engineers keep working with technology they already know.
With Google’s Cloud Adoption Framework and Infrastructure as Code, we map your team’s cloud experience straight onto Google Cloud.
That open foundation also protects your digital sovereignty and gives you a real plan B.
Cheaper, through targeted efficiency
Adding Google Cloud often improves your overall cost position. Efficient models like Gemini Flash and Google’s own AI chips (TPUs) let you run AI workloads at a lower cost.
Committed and sustained use discounts reward how you actually use the cloud, without rigid licensing.
Failover for core applications, and for your digital workplace via Google Workspace, gives you business continuity without the fixed costs of traditional disaster recovery.
The companies that get the most out of multi-cloud usually started small, with one focused use case, and grew from there.
Business continuity: your safety net when things go wrong
What happens when your primary cloud environment goes down? Ransomware attacks, regional outages and service disruptions have become part of everyday operations. And when everything runs on one platform, one incident can take your entire company offline.
Google Cloud and Google Workspace give you an independent, resilient safety net.
Workspace as failover
We set up a secure shadow environment on Google Workspace that you can switch on quickly if your primary environment is compromised or down. Your incident response team, or your entire workforce, keeps access to email, video calls and mission-critical documents, fully isolated from the affected environment.
On-demand disaster recovery
Google Cloud becomes your secondary environment for business-critical applications. Thanks to Infrastructure as Code, you don’t pay for idle infrastructure around the clock. Your data is replicated securely, and computing capacity only spins up when you need it.
Affordable insurance
Google Cloud works with leading backup and storage vendors, so you can replicate data to low-cost, durable storage with the tools you already use. That gives you real protection and helps you meet regulatory requirements, without heavy fixed costs.
Business continuity keeps your business running, whatever happens, alongside the setup you already have.
Why Google Cloud for multi-cloud?
Companies increasingly want an architecture that guarantees technological choice and data sovereignty. Google Cloud was built on an open cloud philosophy from day one, so you adopt the best capabilities on your own terms.
Open standards
Built on Kubernetes, Apache Iceberg, PostgreSQL compatibility and other widely adopted open technologies. Your workloads stay portable.
Runs anywhere
Google Distributed Cloud extends Google’s infrastructure to your own data centers and edge locations, connected or fully air-gapped for strict sovereignty requirements.
Plays well with others
Google integrates with third-party ecosystems, including Microsoft and AWS, without artificial barriers.
Full-stack AI
From custom TPUs to Gemini and Gemini Enterprise Agent Platform, Google builds every layer of its AI stack on its own research. Adding it to your existing environment is a fast, future-proof way to put AI to work on your own data.
Multi-cloud in practice
The best argument for multi-cloud isn’t a slide deck. Here’s how real organizations have added Google Cloud to their existing environment, without replacing what works, and what it unlocked for them.
