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, Sandeep Joshi, , Senior Manager at NVIDIA, shares how to accelerate the data access between GPU and storage for AI. Sandeep will dive into two options: CPU- initiated GPUDirect Storage and GPU-initiated SCADA.
Bin Fan, VP of Technology at Alluxio, introduces how Alluxio, a software layer transparently sits between application and S3 (or other object stores), provides sub-ms time to first byte (TTFB) solution, with up to 45x lower latency.
In this talk, Pritish Udgata from Adobe provides a comprehensive overview of implementation challenges and solutions for LLM agents.
Topic include:
- CoT vs RAG vs Agentic AI
- Anatomy of an agent
- Single Agent with MCP
- Multi Agents with A2A
- Implementation Challenges and Solutions