ALLUXIO COMMUNITY OFFICE HOUR
We are extremely excited to announce the release of Alluxio 2.4.0!
Alluxio 2.4.0 focuses on features critical to large scale, production deployments in Cloud and Hybrid Cloud environments. Features such as highly scalable metadata journaling, aggregate cluster metrics monitoring, and automated detection of JVM pauses further improve Alluxio’s suitability for demanding workloads. Devops tools are also key for triaging issues when they occur. In Alluxio 2.4 we further improve the cluster wide log collection framework. Finally, Alluxio is continually expanding its state of the art integrations with frameworks and storage systems. Alluxio 2.4 introduces and improves integrations with Kubernetes, Azure Data Lake Storage, and Apache Ozone. Alluxio 2.4 is also the first Alluxio release that has support for Java 11.
In this Office Hour, we will go over:
- Expanded metadata service
- Cloud native deployment
- Simplified DevOps and system monitoring
- Support for Java 11
ALLUXIO COMMUNITY OFFICE HOUR
We are extremely excited to announce the release of Alluxio 2.4.0!
Alluxio 2.4.0 focuses on features critical to large scale, production deployments in Cloud and Hybrid Cloud environments. Features such as highly scalable metadata journaling, aggregate cluster metrics monitoring, and automated detection of JVM pauses further improve Alluxio’s suitability for demanding workloads. Devops tools are also key for triaging issues when they occur. In Alluxio 2.4 we further improve the cluster wide log collection framework. Finally, Alluxio is continually expanding its state of the art integrations with frameworks and storage systems. Alluxio 2.4 introduces and improves integrations with Kubernetes, Azure Data Lake Storage, and Apache Ozone. Alluxio 2.4 is also the first Alluxio release that has support for Java 11.
In this Office Hour, we will go over:
- Expanded metadata service
- Cloud native deployment
- Simplified DevOps and system monitoring
- Support for Java 11
Videos:
Presentation Slides:
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Videos
In this talk, Bin Fan, VP of Technology at Alluxio, explores how to enable efficient data access across distributed GPU infrastructure, achieving low-latency performance for feature stores and RAG workloads.