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UNIFY DATA AT MEMORY SPEED
Haoyuan (HY) Li @ AMPLab End of Project Celebration
November 18th, 2016
HISTORY
2
Trex

12-13
HISTORY
2
Trex

12-13
Tachyon

13-15
HISTORY
2
Trex

12-13
Tachyon

13-15
Alluxio

15-
FASTEST-GROWING BIG DATA PROJECT
3
FASTEST-GROWING BIG DATA PROJECT
3
• Fastest growing
open-source project
in the big data
ecosystem
• 400+ contributors
from 100+
organizations
• Running world’s
largest production
clusters
• Welcome to join the
community!
CURRENT STATUS
4
Haoyuan Li, CEO
Alluxio (formerly Tachyon) Co-creator, Joined AMPLab Ph.D. Program 2011
FOUNDER
INVESTOR
TEAM
From AMD, Dell, Google, Palantir, Uber, Yahoo; Experts in Distributed Systems
MSs and PhDs in CS from CMU,, Stanford, UC Berkeley
Top 10 Committers of the Alluxio Open Source Project
We are Hiring!
COMPANY Founded 2015
BIG DATA ECOSYSTEM YESTERDAY
5
…
…
BIG DATA ECOSYSTEM TODAY
5
…
…
5
…
…
BIG DATA ECOSYSTEM ISSUES
BIG DATA ECOSYSTEM WITH ALLUXIO
5
…
…
FUSE Compatible File
System
Hadoop Compatible File
System
Native Key-Value
Interface
Native File System
GlusterFS InterfaceAmazon S3 Interface Swift InterfaceHDFS Interface
BIG DATA ECOSYSTEM WITH ALLUXIO
5
…
…
FUSE Compatible File
System
Hadoop Compatible File
System
Native Key-Value
Interface
Native File System
Enabling Application to Access Data from any
Storage System at Memory-speed
GlusterFS InterfaceAmazon S3 Interface Swift InterfaceHDFS Interface
WHY ALLUXIO
6
Co-located compute and data with memory-speed access to data
Virtualized across different storage systems under a unified namespace
Scale-out architecture
File system API, software only
ALLUXIO BENEFITS
7
Unification
New workflows across
any data in any storage
system
Orders of magnitude
improvement in run
time
Choice in compute and
storage – grow each
independently, buy only
what is needed
Performance Flexibility
TRUSTED BY THE WORLD LEADING COMPANIES
8
ALLUXIO USE CASES
9
Accelerating I/O to and from remote storage
Managing data across disparate storage systems
Sharing data across workloads at memory speed
ACCELERATE I/O TO/FROM REMOTE STORAGE
10
Baidu’s PMs and analysts run 

interactive queries to gain insights 

into their products and business
• 200+ nodes deployment
• 2+ petabytes of storage
• Mix of memory + HDD
ALLUXIO
Baidu File System
ACCELERATE I/O TO/FROM REMOTE STORAGE
10
The performance was amazing. With Spark
SQL alone, it took 100-150 seconds to finish a
query; using Alluxio, where data may hit local
or remote Alluxio nodes, it took 10-15 seconds.
- Baidu
RESULTS
• Data queries are now 30x faster with Alluxio
• Alluxio cluster runs stably, providing over
50TB of RAM space
• By using Alluxio, batch queries usually
lasting over 15 minutes were transformed
into an interactive query taking less than 30
seconds
Baidu’s PMs and analysts run 

interactive queries to gain insights 

into their products and business
• 200+ nodes deployment
• 2+ petabytes of storage
• Mix of memory + HDD
ALLUXIO
Baidu File System
SHARE DATA ACROSS JOBS @ MEMORY SPEED
11
Barclays uses query and machine
learning to train models for risk
management
• 6 node deployment
• 1TB of storage
• Memory only
ALLUXIO
Relational Database
SHARE DATA ACROSS JOBS @ MEMORY SPEED
11
Thanks to Alluxio, we now have the raw
data immediately available at every
iteration and we can skip the costs of
loading in terms of time waiting, network
traffic, and RDBMS activity.
- Barclays
RESULTS
• Barclays workflow iteration time
decreased from hours to seconds
• Alluxio enabled workflows that were
impossible before
• By keeping data only in memory, the I/O
cost of loading and storing in Alluxio is
now on the order of seconds
Barclays uses query and machine
learning to train models for risk
management
• 6 node deployment
• 1TB of storage
• Memory only
ALLUXIO
Relational Database
MANAGE DATA ACROSS STORAGE SYSTEMS
12
• 200+ nodes deployment
• 6 billion logs (4.5 TB) daily
• Mix of Memory + HDD
ALLUXIO
Qunar uses real-time machine
learning for their website ads.
MANAGE DATA ACROSS STORAGE SYSTEMS
12
We’ve been running Alluxio in production for
over 9 months, Alluxio’s unified namespace
enable different applications and frameworks
to easily interact with data from different
storage systems
- Qunar
RESULTS
• Data sharing among Spark Streaming, Spark
batch and Flink jobs provide efficient data
sharing
• Improved the performance of their system with
15x – 300x speedups
• Tiered storage feature manages storage
resources including memory, SSD and disk
• 200+ nodes deployment
• 6 billion logs (4.5 TB) daily
• Mix of Memory + HDD
ALLUXIO
Qunar uses real-time machine
learning for their website ads.
ALLUXIO, INC PRODUCT OFFERINGS
13
Capability/Value
Technology
Validation
Alluxio
Open Source
Open Source
Alluxio
Community
Edition (ACE)
Accelerate
Adoption
Alluxio Manager
Open Source
Alluxio
Enterprise
Edition (AEE)
Enterprise
Deployment
• Kerberos
Authentication
• Data Replication
• Support
Alluxio Manager
Open Source
GOING INTO THE FUTURE
14
Congrats to the AMPLab!

Thank you!
Contact: haoyuan@alluxio.com or info@alluxio.com
15

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Alluxio: Unify Data at Memory Speed; 2016-11-18

  • 1. UNIFY DATA AT MEMORY SPEED Haoyuan (HY) Li @ AMPLab End of Project Celebration November 18th, 2016
  • 6. FASTEST-GROWING BIG DATA PROJECT 3 • Fastest growing open-source project in the big data ecosystem • 400+ contributors from 100+ organizations • Running world’s largest production clusters • Welcome to join the community!
  • 7. CURRENT STATUS 4 Haoyuan Li, CEO Alluxio (formerly Tachyon) Co-creator, Joined AMPLab Ph.D. Program 2011 FOUNDER INVESTOR TEAM From AMD, Dell, Google, Palantir, Uber, Yahoo; Experts in Distributed Systems MSs and PhDs in CS from CMU,, Stanford, UC Berkeley Top 10 Committers of the Alluxio Open Source Project We are Hiring! COMPANY Founded 2015
  • 8. BIG DATA ECOSYSTEM YESTERDAY 5 … …
  • 9. BIG DATA ECOSYSTEM TODAY 5 … …
  • 11. BIG DATA ECOSYSTEM WITH ALLUXIO 5 … … FUSE Compatible File System Hadoop Compatible File System Native Key-Value Interface Native File System GlusterFS InterfaceAmazon S3 Interface Swift InterfaceHDFS Interface
  • 12. BIG DATA ECOSYSTEM WITH ALLUXIO 5 … … FUSE Compatible File System Hadoop Compatible File System Native Key-Value Interface Native File System Enabling Application to Access Data from any Storage System at Memory-speed GlusterFS InterfaceAmazon S3 Interface Swift InterfaceHDFS Interface
  • 13. WHY ALLUXIO 6 Co-located compute and data with memory-speed access to data Virtualized across different storage systems under a unified namespace Scale-out architecture File system API, software only
  • 14. ALLUXIO BENEFITS 7 Unification New workflows across any data in any storage system Orders of magnitude improvement in run time Choice in compute and storage – grow each independently, buy only what is needed Performance Flexibility
  • 15. TRUSTED BY THE WORLD LEADING COMPANIES 8
  • 16. ALLUXIO USE CASES 9 Accelerating I/O to and from remote storage Managing data across disparate storage systems Sharing data across workloads at memory speed
  • 17. ACCELERATE I/O TO/FROM REMOTE STORAGE 10 Baidu’s PMs and analysts run 
 interactive queries to gain insights 
 into their products and business • 200+ nodes deployment • 2+ petabytes of storage • Mix of memory + HDD ALLUXIO Baidu File System
  • 18. ACCELERATE I/O TO/FROM REMOTE STORAGE 10 The performance was amazing. With Spark SQL alone, it took 100-150 seconds to finish a query; using Alluxio, where data may hit local or remote Alluxio nodes, it took 10-15 seconds. - Baidu RESULTS • Data queries are now 30x faster with Alluxio • Alluxio cluster runs stably, providing over 50TB of RAM space • By using Alluxio, batch queries usually lasting over 15 minutes were transformed into an interactive query taking less than 30 seconds Baidu’s PMs and analysts run 
 interactive queries to gain insights 
 into their products and business • 200+ nodes deployment • 2+ petabytes of storage • Mix of memory + HDD ALLUXIO Baidu File System
  • 19. SHARE DATA ACROSS JOBS @ MEMORY SPEED 11 Barclays uses query and machine learning to train models for risk management • 6 node deployment • 1TB of storage • Memory only ALLUXIO Relational Database
  • 20. SHARE DATA ACROSS JOBS @ MEMORY SPEED 11 Thanks to Alluxio, we now have the raw data immediately available at every iteration and we can skip the costs of loading in terms of time waiting, network traffic, and RDBMS activity. - Barclays RESULTS • Barclays workflow iteration time decreased from hours to seconds • Alluxio enabled workflows that were impossible before • By keeping data only in memory, the I/O cost of loading and storing in Alluxio is now on the order of seconds Barclays uses query and machine learning to train models for risk management • 6 node deployment • 1TB of storage • Memory only ALLUXIO Relational Database
  • 21. MANAGE DATA ACROSS STORAGE SYSTEMS 12 • 200+ nodes deployment • 6 billion logs (4.5 TB) daily • Mix of Memory + HDD ALLUXIO Qunar uses real-time machine learning for their website ads.
  • 22. MANAGE DATA ACROSS STORAGE SYSTEMS 12 We’ve been running Alluxio in production for over 9 months, Alluxio’s unified namespace enable different applications and frameworks to easily interact with data from different storage systems - Qunar RESULTS • Data sharing among Spark Streaming, Spark batch and Flink jobs provide efficient data sharing • Improved the performance of their system with 15x – 300x speedups • Tiered storage feature manages storage resources including memory, SSD and disk • 200+ nodes deployment • 6 billion logs (4.5 TB) daily • Mix of Memory + HDD ALLUXIO Qunar uses real-time machine learning for their website ads.
  • 23. ALLUXIO, INC PRODUCT OFFERINGS 13 Capability/Value Technology Validation Alluxio Open Source Open Source Alluxio Community Edition (ACE) Accelerate Adoption Alluxio Manager Open Source Alluxio Enterprise Edition (AEE) Enterprise Deployment • Kerberos Authentication • Data Replication • Support Alluxio Manager Open Source
  • 24. GOING INTO THE FUTURE 14
  • 25. Congrats to the AMPLab!
 Thank you! Contact: haoyuan@alluxio.com or info@alluxio.com 15
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