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Xi Chen, Senior Software Engineer at Tencent & Top 100 Alluxio open source project contributor, explains the block allocation policy of Alluxio at the code level.

This blog was originally published on the website of NetApp:  https://www.netapp.com/blog/modernize-analytics-workloads-netapp-alluxio/

Imagine as an IT leader having the flexibility to choose any services that are available in public cloud and on premises. And imagine being able to scale your storage for your data lakes with control over data locality and protection for your organization. With these goals in mind, NetApp and Alluxio are joining forces to help our customers adapt to new requirements for modernizing data architecture with low-touch operations for analytics, machine learning, and artificial intelligence workflows.

In the previous blog, we introduced Uber’s Presto use cases and how we collaborated to implement Alluxio local cache to overcome different challenges in accelerating Presto queries. The second part discusses the improvements to the local cache metadata.

This article shares how Uber and Alluxio collaborated to design and implement Presto local cache to reduce HDFS latency.

This article introduces the design and implementation of metadata storage in Alluxio Master, either on heap and off heap (based on RocksDB).

The Alluxio 2.8 version focuses on the S3 API, enterprise-grade security, scalability and observability in data migration. Enhanced S3 API makes managing Alluxio easier than ever. Features such as encryption at rest and policy-driven data management further improve Alluxio’s functionality to support enterprise customers.

ALLUXIO DAY XII 2022

ALLUXIO DAY XII 2022

ALLUXIO DAY XII 2022

Raft is an algorithm for state machine replication as a way to ensure high availability (HA) and fault tolerance. This blog shares how Alluxio has moved to a Zookeeper-less, built-in Raft-based journal system as a HA implementation.

With machine learning (ML) and artificial intelligence (AI) applications becoming more business-critical, organizations are in the race to advance their AI/ML capabilities. To realize the full potential of AI/ML, having the right underlying machine learning platform is a prerequisite.

This article will discuss a new solution to orchestrating data for end-to-end machine learning pipelines that addresses the above questions. I will outline common challenges and pitfalls, followed by proposing a new technique, data orchestration, to optimize the data pipeline for machine learning.

Today, we are excited to announce the launch of Non-fungible token (NFT) as a new feature in our leading data orchestration platform.

With the collaboration between Meta (Facebook), Princeton University, and Alluxio, we have developed "Shadow Cache" – a lightweight Alluxio component to track the working set size and infinite cache hit ratio. Shadow cache can keep track of the working set size over the past window dynamically and is implemented by a series of bloom filters. Shadow cache is deployed in Meta (Facebook) Presto and is being leveraged to understand the system bottleneck and help with routing design decisions.

This blog shares the practice of using Alluxio and Spark to accelerate the auto data tagging system in WeRide, an autonomous driving technology company.

A Simple Approach to Speed Up Presto Interactive Queries at Uber’s Scale Through Caching

ALLUXIO DAY X 2022

ALLUXIO DAY X 2022

Alluxio is the data orchestration platform to unify data silos across heterogeneous environments. This is the last article in a series to give you the basics of Alluxio’s architecture and solution.

This is a tutorial to guide a newbie to complete a new-contributor task and become an open-source contributor of the Alluxio project.

This article highlights synergy between the two widely adopted open-source projects, Alluxio and Presto, and demonstrates how together they deliver a self-serve data architecture across clouds.