In this tech talk, we will discuss why leading enterprises are adopting hybrid cloud architectures with compute and storage disaggregated, the new challenges that this new paradigm introduces, and the unified data solution Alluxio provides for hybrid environments.
This blog describes our experience in speeding up Alluxio metadata operations using fingerprint and Alluxio under store bulk operations. These latest optimizations can be found in the 1.8.1 release.
One of the major values Alluxio provides is a simple and unified interface to manage files and directories on different underlying storage systems. Alluxio acts as an intermediate layer and exposes a file interface for applications to interact with, even though the underlying storage system might be an object store that has a different interface.
Learn more about use cases with Alluxio leveraged in MOMO, JD.com, and TalkingData.
Tags: alluxio engineering, analytics, caching, cloud object storage, cloud storage, compute, compute storage separation, data, on-prem object storage, performance, storage
Strata London 2018 – Learn how JD.com uses Alluxio as a pluggable optimization component to provide support for ad hoc and real-time stream computing.
Tags: big data, hdfs, performance, storage, unified namespace
Tencent, based in China, is one of the largest technology companies in the world and a leader in sectors such as social networking, gaming, ecommerce, mobile, and web portal. Tencent News provides a rich, tailored news experience to over 100 million active monthly users. In order to meet the strict Service Level Agreements (SLAs) required by the business for optimal customer experience, the company turned to Alluxio for performance, predictability, and scalability.
Tags: architecture, case study, performance
Quantitative hedge funds process large data sets with sophisticated financial models to drive investment decisions. Machine Learning is used to continuously improve models and maximize financial return. One firm with billions ($US) of assets under management turned to Alluxio to address the performance and cost challenges of large scale data processing in a hybrid cloud environment. With Alluxio, the number of model runs per day increased by 4x and the cost of compute was reduced by 95%.
Tags: benchmark, case study, machine learning, performance
Alluxio helps organizations handle their big data by providing a unified view of all of the data in your enterprise – on premise, in the cloud, or hybrid. Applications access data using a standard interface to a global virtual namespace. Alluxio also employs a memory-centric architecture to enable data access at memory speed. With the combined unification and performance benefits, Alluxio can effectively provide big data federation for organizations by acting as a virtual data lake.
Using Alluxio, data can be shared between pipeline stages at memory speed. By reading and writing data in Alluxio, the data can stay in memory for the next stage of the pipeline, and this can greatly increase the performance. Alluxio Enterprise Edition (AEE) introduces Fast Durable Writes, a feature which enables low latency and fault-tolerant writes. In this article, we describe the Fast Durable Writes feature, and explore how Alluxio can be deployed and used with a data pipeline.
Learn more about Alluxio use cases in Suning, Kyligence, Didi, JD.com, and Tencent presented in Chinese.
Tags: analytics, big data, cloud, performance, storage