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New Alluxio Release Accelerates Cloud Deployments for Analytics and Machine Learning

By   /  August 2, 2018  /  No Comments

According to a recent press release, “Alluxio, developer of the world’s first software system that unifies data at memory speed, today announced the release of Alluxio 1.8 to accelerate cloud adoption for analytics and machine learning workloads. Location-aware data management tools provide a wide range of policy-based control within hybrid cloud environments and within cloud availability zones. Optimizations for object storage, and each major cloud provider, close semantic differences with the Hadoop Distributed File System (HDFS) and ease application portability between cloud platforms. The new Filesystem in Userspace (FUSE) interface enables machine learning frameworks to access cloud data as if it were in a local file system.”

The release goes on, “Additionally, developers now have superior insight into data metrics within an Alluxio cluster as well as expanded visibility into the application and persistent storage layer. Increased metrics coverage within the Alluxio cluster, the application layer and underlying storage systems makes it easier to connect and manage multiple data sources. A new dashboard in the UI provides overall health and utilization metrics with accompanying command line interface (CLI) tools for live cluster statistics. All remote procedure call (RPC) requests are recorded, providing a detailed set of machine-consumable metrics with API-based statistics generation for third party tools such as Grafana and Prometheus. Developers can quickly diagnose storage system performance issues with new tools that include latency histograms and capacity utilization. The application configuration checker provides a one-click integration check for third party applications such as Hive, MapReduce, Spark, and more.”

Read more at Globe Newswire.

Photo credit: Alluxio

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