How AI Is Pushing Kubernetes Storage Beyond Its Limits

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As enterprises rush to deploy AI and data-intensive applications in Kubernetes environments, standard Container Storage Interfaces (CSIs) aren’t enough to meet business requirements in the new operating model.

A decade ago, when Kubernetes first burst onto the scene, the majority of containerized workloads were stateless, saving no context across different sessions. A typical Node.js or NGINX application would be reinstantiated based on available metadata, but it wouldn’t read and write data to or from a persistence store.

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How AI Is Pushing Kubernetes Storage Beyond Its Limits


As enterprises rush to deploy AI and data-intensive applications in Kubernetes environments, standard Container Storage Interfaces (CSIs) aren’t enough to meet business requirements in the new operating model.

A decade ago, when Kubernetes first burst onto the scene, the majority of containerized workloads were stateless, saving no context across different sessions. A typical Node.js or NGINX application would be reinstantiated based on available metadata, but it wouldn’t read and write data to or from a persistence store.

The Rise of…



Source link

Disclaimer

We strive to uphold the highest ethical standards in all of our reporting and coverage. We StartupNews.fyi want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.

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