Devops teams are partnering with AI copilots and agents to manage multicloud complexity. Here are seven ways genAI can improve multicloud adoption, governance, observability, and more.

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Managing multicloud environments is complex, but generative AI tools—copilots and agents—are helping DevOps teams reduce that complexity across seven key areas: evaluating cloud service portability, improving system resiliency, generating cloud-specific configurations from standard requirements, simplifying CI/CD and automation, enhancing observability for SREs, bridging policy-to-compliance gaps, and enabling continuous FinOps monitoring. IT leaders from companies like Dataiku, Commvault, and CloudBolt share how genAI acts as a translator between cloud-specific paradigms, reduces alert fatigue, auto-generates IaC and compliance policies, and provides intelligent cost optimization recommendations. GenAI is not a silver bullet—structural constraints like data gravity and talent gaps remain—but it meaningfully reduces operational overhead in multicloud strategies.

7 ways to tame multicloud chaos with generative AI