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Scality has extended its object storage to Kubernetes clusters via open-source COSI and CSI drivers for RING and ARTESCA, enabling native S3-compatible and POSIX access with automated provisioning. This simplifies managing stateful AI workloads in hybrid environments, bridging legacy and modern apps. The move boosts agility, cost control, and data sovereignty for enterprises.
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Kubernetes has long struggled with YAML's pitfalls like whitespace sensitivity and type coercion, exemplified by the "Norway problem." KYAML, a tailored YAML subset, introduces stricter parsing and string defaults to fix these issues. Integrated into Kubernetes 1.34, it promises enhanced reliability and efficiency for deployments.
AWS has released v2 of its Mountpoint for Amazon S3 CSI Driver, enhancing Kubernetes workloads' access to S3 as a high-performance file system. It boosts read throughput by up to 60%, cuts CPU overhead by 50%, and adds SELinux support for better security and efficiency. This update transforms data-intensive tasks like ML and analytics.
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Cloudera acquired Taikun, a Kubernetes and multi-cloud management specialist, to strengthen its hybrid cloud platform for AI workloads. This enables seamless deployment of data services across diverse environments, reducing multi-cloud complexities. The move positions Cloudera competitively against rivals like Databricks, promising enhanced portability and security for enterprise AI.
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