Copyright © 2011 SIOS Inc. | SIOS Confidential Information 
Self-Driving Data Center 
The Nugget of Software Defined Movement
About SIOS 
•Founded in 1999 
•SIOS Technology Corp. is a wholly owned subsidiary of SIOS Technology, Inc., a Tokyo based, publicly traded company 
•Worldwide presence with offices throughout the US, UK and Japan 
•Over 50,000 licenses installed globally 
•Leading Technology Partnerships
Out of the Box Linux Knowledge 
Services 
•SAP 
•WebSphere MQ 
•Any Custom App 
Applications 
•Apache 
•Samba 
•NFS 
•LVM 
•SW Raid (md) 
Databases 
Storage 
•Oracle 
•MySQL 
•PostgreSQL 
•Sybase 
•DB2 
•Informix 
•DMMP 
•NAS 
•EMC PowerPath 
•Hitachi HDLM 
•IBM SDD 
•Data Replication 
Protect Any Application
Technology Trends 
Hardware Commoditization 
Convergence 
CLOUD 
BigData 
Technology 
Business Model
Technology Trends 
Hardware Commoditization 
Convergence 
CLOUD 
BigData 
Technology 
Business Model
Customer Problem 
Reduce Capex and Opex while achieving scale, performance, and availability. 
Software 
Black Box 
Agility and Flexibility
Customer Problem 
Cloud and Virtualization
Data Center Today 
Storage 
Network 
Cloud/Virtualization 
Software 
Black Box 
•Has scale and capacity 
•Proprietary Solution (Software and Hardware) 
•Not heterogeneous 
•Expensive 
•Restrictive (vendor lock-in)
Data Center Emerging (Open Source Foundation) 
Storage 
Network 
Software 
White Box 
•Has scale and capacity 
•Open Solution (Software and Hardware) 
•Heterogeneous 
•Cost-effective 
•No vendor lock-in 
Cloud/Virtualization
Data Center Emerging (Open Source Foundation) 
Cloud/Virtualization 
Software Defined from the beginning and causes to the disruption in silos underneath.
Data Center Emerging (Open Source Foundation) 
Storage 
Blog post: http://blog.techdozor.org/index.php/2013/09/30/san-vs-opensource/ 
•Distributed block storage takes each local storage system and, in much the same way as RAID combines multiple drives into one single array. No SPOF, point of management locus is centralized 
•Enterprise level features: scalability, thin- provisioning, snapshotting, cloning, tiering, caching, HA/DR 
•Performance: ability to spread the load from a heavy use virtual drive across multiple storage nodes in a cluster. 
•Finally: All of the above is all about CapEx, OpEx, and TCO
Network 
Data Center Emerging (Open Source Foundation) 
•What is it? 
It is a centralized management of the network infrastructure that enables automation, analytics, and orchestration of network services via the standardized interfaces. 
•Why SDN? 
Efficiency – optimized existing application, services, and infrastructure 
Scale – ability to keep up with the dynamic scaling of application and corresponding services 
Innovation – from “black box” to
Why Software Defined * 
•To achieve ITaaS, i.e. all aspects of infrastructure are virtualizaed and delivered as a service 
•Make application infrastructure aware for automation, provisioning, etc.
Is Software Defined * DEAD? What’s Next?
Hardware Defined *?
Back to the problem at hand 
Cloud and Virtualization
Back to the problem at hand
Back to the problem at hand 
Physical 
Servers 
Public 
Cloud 
Private Cloud 
Hybrid 
Cloud 
Hosted Private 
Cloud 
Virtualized Servers 
On-Premise 
Off-Premise
Back to the problem at hand 
Storage 
Network 
Cloud/Virtualization 
API 
API 
API 
Software Stack 
Software Stack 
Software Stack
Gaps in Current Approaches
Gaps in Current Approaches
Gaps in Current Approaches
Converged Predictive analytics is GAP
Data Complexity
We see it coming – Google Alerts 
2014
IT Operations Analytics (born 2014) 
•Source: http://www.itoa-landscape.org/
Analytics powered by Machine Learning
Analytics and Machine Learning
Next Generation Datacenter
Five Key Requirements for ML App 
Presentation 
Scalability is the KEY! 
Adoptability, and Portability 
Data Strategy (security, privacy, and governance) 
Algorithm and Data Normalization
Do It Yourself! 
http://www.r-project.org/ 
http://www.cs.waikato.ac.nz/ml/weka// 
http://madlib.net/ 
https://mahout.apache.org/
Questions?
Contact Info 
Sergey A. Razin, Ph.D. 
Chief Technology Officer SIOS Technology Corp. Email: sergey.razin@us.sios.com LinkedIn: http://www.linkedin.com/in/sergeyrazin Follow me: http://www.twitter.com/TechDozor Read me: http://blog.techdozor.org
Thank you!

Self-Driving Data Center

  • 1.
    Copyright © 2011SIOS Inc. | SIOS Confidential Information Self-Driving Data Center The Nugget of Software Defined Movement
  • 2.
    About SIOS •Foundedin 1999 •SIOS Technology Corp. is a wholly owned subsidiary of SIOS Technology, Inc., a Tokyo based, publicly traded company •Worldwide presence with offices throughout the US, UK and Japan •Over 50,000 licenses installed globally •Leading Technology Partnerships
  • 3.
    Out of theBox Linux Knowledge Services •SAP •WebSphere MQ •Any Custom App Applications •Apache •Samba •NFS •LVM •SW Raid (md) Databases Storage •Oracle •MySQL •PostgreSQL •Sybase •DB2 •Informix •DMMP •NAS •EMC PowerPath •Hitachi HDLM •IBM SDD •Data Replication Protect Any Application
  • 4.
    Technology Trends HardwareCommoditization Convergence CLOUD BigData Technology Business Model
  • 5.
    Technology Trends HardwareCommoditization Convergence CLOUD BigData Technology Business Model
  • 6.
    Customer Problem ReduceCapex and Opex while achieving scale, performance, and availability. Software Black Box Agility and Flexibility
  • 7.
    Customer Problem Cloudand Virtualization
  • 8.
    Data Center Today Storage Network Cloud/Virtualization Software Black Box •Has scale and capacity •Proprietary Solution (Software and Hardware) •Not heterogeneous •Expensive •Restrictive (vendor lock-in)
  • 9.
    Data Center Emerging(Open Source Foundation) Storage Network Software White Box •Has scale and capacity •Open Solution (Software and Hardware) •Heterogeneous •Cost-effective •No vendor lock-in Cloud/Virtualization
  • 10.
    Data Center Emerging(Open Source Foundation) Cloud/Virtualization Software Defined from the beginning and causes to the disruption in silos underneath.
  • 11.
    Data Center Emerging(Open Source Foundation) Storage Blog post: http://blog.techdozor.org/index.php/2013/09/30/san-vs-opensource/ •Distributed block storage takes each local storage system and, in much the same way as RAID combines multiple drives into one single array. No SPOF, point of management locus is centralized •Enterprise level features: scalability, thin- provisioning, snapshotting, cloning, tiering, caching, HA/DR •Performance: ability to spread the load from a heavy use virtual drive across multiple storage nodes in a cluster. •Finally: All of the above is all about CapEx, OpEx, and TCO
  • 12.
    Network Data CenterEmerging (Open Source Foundation) •What is it? It is a centralized management of the network infrastructure that enables automation, analytics, and orchestration of network services via the standardized interfaces. •Why SDN? Efficiency – optimized existing application, services, and infrastructure Scale – ability to keep up with the dynamic scaling of application and corresponding services Innovation – from “black box” to
  • 13.
    Why Software Defined* •To achieve ITaaS, i.e. all aspects of infrastructure are virtualizaed and delivered as a service •Make application infrastructure aware for automation, provisioning, etc.
  • 14.
    Is Software Defined* DEAD? What’s Next?
  • 15.
  • 16.
    Back to theproblem at hand Cloud and Virtualization
  • 17.
    Back to theproblem at hand
  • 18.
    Back to theproblem at hand Physical Servers Public Cloud Private Cloud Hybrid Cloud Hosted Private Cloud Virtualized Servers On-Premise Off-Premise
  • 19.
    Back to theproblem at hand Storage Network Cloud/Virtualization API API API Software Stack Software Stack Software Stack
  • 21.
    Gaps in CurrentApproaches
  • 22.
    Gaps in CurrentApproaches
  • 23.
    Gaps in CurrentApproaches
  • 25.
  • 26.
  • 27.
    We see itcoming – Google Alerts 2014
  • 28.
    IT Operations Analytics(born 2014) •Source: http://www.itoa-landscape.org/
  • 29.
    Analytics powered byMachine Learning
  • 30.
  • 31.
  • 32.
    Five Key Requirementsfor ML App Presentation Scalability is the KEY! Adoptability, and Portability Data Strategy (security, privacy, and governance) Algorithm and Data Normalization
  • 33.
    Do It Yourself! http://www.r-project.org/ http://www.cs.waikato.ac.nz/ml/weka// http://madlib.net/ https://mahout.apache.org/
  • 36.
  • 37.
    Contact Info SergeyA. Razin, Ph.D. Chief Technology Officer SIOS Technology Corp. Email: sergey.razin@us.sios.com LinkedIn: http://www.linkedin.com/in/sergeyrazin Follow me: http://www.twitter.com/TechDozor Read me: http://blog.techdozor.org
  • 38.