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Why multi-cloud DevOps is the new baseline
The QuantumVector Team · July 2026
Most engineers learn one cloud, get comfortable, and stop. That was a fine strategy five years ago. It isn't anymore.
What changed
Companies rarely run a single cloud today. Acquisitions, cost arbitrage, data-residency rules and vendor risk all push teams toward more than one provider. The result: the same CI/CD workflow, rebuilt natively on AWS, Azure and GCP.
The skills that transfer
The good news is that the concepts are portable. Once you truly understand a pipeline — build, scan, artifact, deploy, observe — the cloud is just a set of managed services wired into that flow.
- Source and triggers: CodePipeline, Azure Pipelines, Cloud Build
- Registries: ECR, ACR, Artifact Registry
- Orchestration: EKS, AKS, GKE
- Delivery: rolling updates, GitOps, canary
How to actually learn it
Don't read three sets of docs in parallel. Build one real pipeline end-to-end on your strongest cloud, then port it — service by service — to the other two. The gaps you hit are exactly the interview questions you'll be asked.
That's the sequence we teach in the Multi Cloud DevOps cohort: one workflow, three clouds, seven projects on your GitHub.