Bassam Tabbara, Maintainer of Crossplane, explains why manual infrastructure operations are becoming a liability as enterprises try to move faster with cloud-native and AI workloads. As organizations push for more automation, the gap between human-operated systems and machine-speed infrastructure is becoming impossible to ignore.
In this conversation, Tabbara discusses how Crossplane brings a declarative control model to cloud and AI infrastructure, why the project’s CNCF graduation matters, and how platform engineering teams are using control planes to manage increasingly complex environments across clouds and emerging AI workloads.
Key Topics Covered:
How Crossplane extends the Kubernetes-style declarative control model to cloud and AI infrastructure across providers.
Why platform engineering teams are using control planes to build internal developer platforms and reduce operational friction.
What Crossplane’s CNCF graduation says about ecosystem maturity, adoption, and enterprise-scale production use.
How agentic AI systems may rely on declarative APIs and controller-based models to deploy and manage infrastructure.
Why AI infrastructure, inference, and fine-tuning increasingly look like control plane problems.
Read the full story & transcript at www.tfir.io
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