On-Demand Videos
Nilesh Agarwal, Co-founder & CTO at Inferless, shares insights on accelerating LLM inference in the cloud using Alluxio, tackling key bottlenecks like slow model weight loading from S3 and lengthy container startup time. Inferless uses Alluxio as a three-tier cache system that dramatically cuts model load time by 10x.
In this talk, Jingwen Ouyang, Senior Product Manager at Alluxio, will share how Alluxio make it easy to share and manage data from any storage to any compute engine in any environment with high performance and low cost for your model training, model inference, and model distribution workload.
Storing data as Parquet files on cloud object storage, such as AWS S3, has become prevalent not only for large-scale data lakes but also as lightweight feature stores for training and inference, or as document stores for Retrieval-Augmented Generation (RAG). However, querying petabyte-to-exabyte-scale data lakes directly from S3 remains notoriously slow, with latencies typically ranging from hundreds of milliseconds to several seconds.
In this webinar, David Zhu, Software Engineering Manager at Alluxio, will present the results of a joint collaboration between Alluxio and a leading SaaS and data infrastructure enterprise that explored leveraging Alluxio as a high-performance caching and acceleration layer atop AWS S3 for ultra-fast querying of Parquet files at PB scale.
David will share:
- How Alluxio delivers sub-millisecond Time-to-First-Byte (TTFB) for Parquet queries, comparable to S3 Express One Zone, without requiring specialized hardware, data format changes, or data migration from your existing data lake.
- The architecture that enables Alluxio’s throughput to scale linearly with cluster size, achieving one million queries per second on a modest 50-node deployment, surpassing S3 Express single-account throughput by 50x without latency degradation.
- Specifics on how Alluxio offloads partial Parquet read operations and reduces overhead, enabling direct, ultra-low-latency point queries in hundreds of microseconds and achieving a 1,000x performance gain over traditional S3 querying methods.
Speaker: David Zhu
David Zhu is a Software Engineer Manager at Alluxio. At Alluxio, David focuses on metadata management and end-to-end performance benchmarking and optimizations. Prior to that, David completed his Ph.D. from UC Berkeley, with a focus on distributed data management systems and operating systems for the data center. David also holds a Bachelor of Software Engineering from the University of Waterloo.
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ALLUXIO DAY x APAC Modern Data Stack 2022
September 22, 2022
Shopee is the leading e-commerce platform in SouthEast Asia. In this presentation, Luo Li from Shopee will share their Data Infra team’s recent project on acceleration with Presto and storage servitization. He will share the details on how Shopee leverages Alluxio to accelerate Presto query and provide standardized methods of accessing data through Alluxio-Fuse and Alluxio-S3.
ALLUXIO DAY XV 2022
September 15, 2022
OceanBase Database, is an open-source, distributed Hybrid Transactional/Real-time Operational Analytics (HTAP) database management system that has set new world records in both the TPC-C and TPC-H benchmark tests. OceanBase Database starts from 2010, and it has been serving all of the critical systems in Alipay. Besides Alipay, OceanBase has also been serving customer from a variety of sectors, including Internet, financial services, telecommunications and retail industry.
In this tech talk, we will talk about the architecture of OceanBase and some typical use cases. This talk will include some technical topic such as Paxos replication, 2PC commit, LSM-Tree like storage, SQL optimizer and executor, city-level disaster recovery, etc.
ALLUXIO DAY XV 2022
September 15, 2022
This talk introduces the three game level progressions to use Alluxio to speed up your cloud training with production use cases from Microsoft, Alibaba, and BossZhipin.
- Level 1: Speed up data ingestion from cloud storage
- Level 2: Speed up data preprocessing and training workloads
- Level 3: Speed up full training workloads with a unified data orchestration layer
ALLUXIO DAY XV 2022
September 15, 2022
With the advent of the Big Data era, it is usually computationally expensive to calculate the resource usages of a SQL query. Can we estimate the resource usages of SQL queries more efficiently without any computation in a SQL engine kernel? In this session, Chunxu and Beinan would like to introduce how Twitter’s data platform leverages a machine learning-based approach in Presto and BigQuery to estimate query utilization with 90%+ accuracy.
ALLUXIO DAY XV 2022
September 15, 2022
Streaming systems form the backbone of the modern data pipeline as the stream processing capabilities provide insights on events as they arrive. But what if we want to go further than this and execute analytical queries on this real-time data? That’s where Apache Pinot comes in.
OLAP databases used for analytical workloads traditionally executed queries on yesterday’s data with query latency in the 10s of seconds. The emergence of real-time analytics has changed all this and the expectation is that we should now be able to run thousands of queries per second on fresh data with query latencies typically seen on OLTP databases.
Apache Pinot is a realtime distributed OLAP datastore, which is used to deliver scalable real time analytics with low latency. It can ingest data from streaming sources like Kafka, as well as from batch data sources (S3, HDFS, Azure Data Lake, Google Cloud Storage), and provides a layer of indexing techniques that can be used to maximize the performance of queries.
Come to this talk to learn how you can add real-time analytics capability to your data pipeline.
As more and more companies turn to AI / ML / DL to unlock insight, AI has become this mythical word that adds unnecessary barriers to new adaptors. Oftentimes it was regarded as luxury for those big tech companies only – this should not be the case.
In this talk, Jingwen will first dissect the ML life cycle into five stages – starting from data collection, to data cleansing, model training, model validation, and end at model inference / deployment stages. For each stage, Jingwen will then go over its concept, functionality, characteristics, and use cases to demystify ML operations. Finally, Jingwen will showcase how Alluxio, a virtual data lake, could help simplify each stage.
Alluxio foresaw the need for agility when accessing data across silos separated from compute engines like Spark, Presto, Tensorflow and PyTorch. Embracing the separation of storage from compute, the Alluxio data orchestration platform simplifies adoption of the data lake and data mesh paradigm for analytics and AI/ML. In this talk, Bin Fan will share observations to help identify ways to use the platform to meet the needs of your data environment and workloads.
越來越多的企業架構已轉向混合雲和多雲環境。雖然這種轉變帶來了更大的靈活性和敏捷性，但也意味著必須將計算與存儲分離，這就對企業跨框架、跨雲和跨存儲系統的數據管理和編排提出了新的挑戰。此分享將讓聽眾深入了解Alluxio數據編排理念在數據中台對存儲和計算的解耦作用，以及數據編排針對存算分離場景提出的創新架構，同時結合來自金融、運營商、互聯網等行業的典型應用場景來展現Alluxio如何為大數據計算帶來真正的加速，以及如何將數據編排技術用於AI模型訓練！
*This is a bilingual presentation.
As data stewards and security teams provide broader access to their organization’s data lake environments, having a centralized way to manage fine-grained access policies becomes increasingly important. Alluxio can use Apache Ranger’s centralized access policies in two ways: 1) directly controlling access to virtual paths in the Alluxio virtual file system or 2) enforcing existing access policies for the HDFS under stores. This presentation discusses how the Alluxio virtual filesystem can be integrated with Apache Ranger.
ALLUXIO DAY XII 2022
April 28, 2022
Shopee is the leading e-commerce platform in SouthEast Asia. In this presentation, Tianbao Ding and Haoning Sun from Shopee will share their Data Infra team’s recent project on acceleration with Presto and storage servitization. They will share the details on how Shopee leverages Alluxio to accelerate Presto query and provide standardized method of accessing data through Alluxio-Fuse and Alluxio-S3.
ALLUXIO DAY XII 2022
April 28, 2022
Shawn Sun from Alluxio will present the journey of using Alluxio as the storage system for Kubernetes through Container Storage Interface (CSI) plugin and Alluxio CSI driver. This talk will cover the challenges we are facing with traditional setup in the AI/ML training jobs, and how Alluxio CSI driver manages to address them. It will also talk about a recent change to the driver that made it more sturdy and robust.
ALLUXIO DAY XII 2022
April 28, 2022
This talk will discuss the process and technical details behind a responsible vulnerability disclosure of an issue detected in Alluxio recently. I will share some of the lessons I’ve learned as a security researcher dealing with multiple open-source vendors and my thoughts about the actions organizations and projects should take to ensure successful vulnerability management and disclosure programs. Learn more about creating more secure software.
This presentation will include information about how Alluxio and NetApp StorageGRID helps enterprises accelerate the adoption of cloud and optimize their resource spend on a modern hybrid big data architecture. The conversation will cover use case and architecture info from a variety of enterprises and some of the high level technical details of how these business solutions are constructed.