SIOS is a software company that was founded in 1999 with offices worldwide. They provide software solutions for virtualizing and automating data centers using open source technologies. Their goal is to help customers reduce costs while improving scale, performance, and availability through a software-defined approach. This involves virtualizing storage, networking, and other infrastructure components and managing them through APIs and software stacks.

1. Copyright © 2011 SIOS Inc. | SIOS Confidential Information
Self-Driving Data Center
The Nugget of Software Defined Movement

2. 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

3. 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

4. Technology Trends
Hardware Commoditization
Convergence
CLOUD
BigData
Technology
Business Model

5. Technology Trends
Hardware Commoditization
Convergence
CLOUD
BigData
Technology
Business Model

6. Customer Problem
Reduce Capex and Opex while achieving scale, performance, and availability.
Software
Black Box
Agility and Flexibility

7. Customer Problem
Cloud and 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 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

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. Hardware Defined *?

16. Back to the problem at hand
Cloud and Virtualization

17. Back to the problem at hand

18. Back to the problem at hand
Physical
Servers
Public
Cloud
Private Cloud
Hybrid
Cloud
Hosted Private
Cloud
Virtualized Servers
On-Premise
Off-Premise

19. Back to the problem at hand
Storage
Network
Cloud/Virtualization
API
API
API
Software Stack
Software Stack
Software Stack

21. Gaps in Current Approaches

22. Gaps in Current Approaches

23. Gaps in Current Approaches

25. Converged Predictive analytics is GAP

26. Data Complexity

27. We see it coming – Google Alerts
2014

28. IT Operations Analytics (born 2014)
•Source: http://www.itoa-landscape.org/

29. Analytics powered by Machine Learning

30. Analytics and Machine Learning

31. Next Generation Datacenter

32. Five Key Requirements for 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. Questions?

37. 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

38. Thank you!