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The Politics of Convergence 
Dheeraj Pandey, Founder and CEO
2 
Everything virtual… and in software 
Networking 
Storage 
Servers 
VXLAN 
10GbE & SDN 
IP Addresses 
HBA 
Server-side Flash 
Trunking 
DNS 
LACP 
Containers 
Fiber Channel 
OSPF 
z/OS 
IPMI 
LOM 
iLO 
VT-x 
x86 
DAS 
iSCSI 
NFS 
FCoE 
SMB 
Datastores 
SAN 
NAS 
LUNs 
RAID 
Zoning 
Divergence, in the last 15 Years 
3 advances challenge storage arrays at their very core 
Masking 
Blade Chassis 
Backplane 
P-Series 
LPARs
3 
Converged Web-Scale Datacenters 
Blade servers are passé, rackmounts are in! 
Business 
Agility 
Rapid 
Scale 
Cost 
Design Goals 
Efficiency 
•No single point of failure 
•No single point of bottleneck 
• Always-on systems 
• Deep Analytics across all SW/HW components 
• Interactive visualization of entire datacenters 
Fundamental Assumptions 
•Unbranded x86 servers: fail-fast systems 
•No special purpose appliances 
• All intelligence and services in software 
• Linear, predictable scale-out
4 
“Breaking Away” 
Convergence in web-scale datacenters: Challenging the status quo 
Flattening of 
Infrastructure 
Agility in 
decision-making
5 
Flattening of Infrastructure 
How web-scale datacenters achieved convergence 
Storage Software 
on standard x86 
servers 
Networking was 
the biggest enemy
6 
Flattening of Infrastructure 
How web-scale datacenters achieved convergence 
Data warehousing 
using standard x86 
rack-mounts 
SQL gave way to 
REST/HTTP
7 
Flattening of Infrastructure 
“It’s not happening in my enterprise datacenter”… really? 
Big Data 
Dev Ops 
Public Cloud
8 
Flattening of Infrastructure 
Big Data Folks: “What in the world is a SAN… and a blade server?!” 
“The practitioners of big data are hostile to shared storage. They 
prefer server-attached storage… The perception of SAN and 
NAS is that they are slow, complex, and above all, expensive. 
These qualities are not consistent with big data analytic systems 
that thrive on system performance, commodity infrastructure, and 
low cost.” 
- Wikipedia (“Big Data”)
9 
Flattening of Infrastructure 
Dev Ops: “What in the world is a blade server?!” 
Massive 
democratization of 
infrastructure 
Dev Ops takes charge: 
autonomy, 
independence, access 
Application 
owners become 
paramount
10 
Flattening of Infrastructure 
A brief history of the Post-SAN-Post-Blade-Server Converged era 
Monolithic mainframe-like 
systems were 
banned 
Grow-as-you-go 
clusters are in vogue 
Network topologies 
have been flattened
11 
11 
True Convergence 
From “Duct Taped” hardware to software-based convergence
12 
With software, scale-out, 
not scale-up 
Convergence 1.0 to 2.0 
From “Duct Taped” hardware to true (hyper)convergence
13 
True Convergence 
Reducing space, power, complexity, and cost
14 
True Convergence 
The rack-mount (x86) server is the “true north”
15 
True Convergence 
Web-scale lessons define the “true north”
16 
Convergence’s True North
The World is Flat

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The World is Flat

  • 1. The Politics of Convergence Dheeraj Pandey, Founder and CEO
  • 2. 2 Everything virtual… and in software Networking Storage Servers VXLAN 10GbE & SDN IP Addresses HBA Server-side Flash Trunking DNS LACP Containers Fiber Channel OSPF z/OS IPMI LOM iLO VT-x x86 DAS iSCSI NFS FCoE SMB Datastores SAN NAS LUNs RAID Zoning Divergence, in the last 15 Years 3 advances challenge storage arrays at their very core Masking Blade Chassis Backplane P-Series LPARs
  • 3. 3 Converged Web-Scale Datacenters Blade servers are passé, rackmounts are in! Business Agility Rapid Scale Cost Design Goals Efficiency •No single point of failure •No single point of bottleneck • Always-on systems • Deep Analytics across all SW/HW components • Interactive visualization of entire datacenters Fundamental Assumptions •Unbranded x86 servers: fail-fast systems •No special purpose appliances • All intelligence and services in software • Linear, predictable scale-out
  • 4. 4 “Breaking Away” Convergence in web-scale datacenters: Challenging the status quo Flattening of Infrastructure Agility in decision-making
  • 5. 5 Flattening of Infrastructure How web-scale datacenters achieved convergence Storage Software on standard x86 servers Networking was the biggest enemy
  • 6. 6 Flattening of Infrastructure How web-scale datacenters achieved convergence Data warehousing using standard x86 rack-mounts SQL gave way to REST/HTTP
  • 7. 7 Flattening of Infrastructure “It’s not happening in my enterprise datacenter”… really? Big Data Dev Ops Public Cloud
  • 8. 8 Flattening of Infrastructure Big Data Folks: “What in the world is a SAN… and a blade server?!” “The practitioners of big data are hostile to shared storage. They prefer server-attached storage… The perception of SAN and NAS is that they are slow, complex, and above all, expensive. These qualities are not consistent with big data analytic systems that thrive on system performance, commodity infrastructure, and low cost.” - Wikipedia (“Big Data”)
  • 9. 9 Flattening of Infrastructure Dev Ops: “What in the world is a blade server?!” Massive democratization of infrastructure Dev Ops takes charge: autonomy, independence, access Application owners become paramount
  • 10. 10 Flattening of Infrastructure A brief history of the Post-SAN-Post-Blade-Server Converged era Monolithic mainframe-like systems were banned Grow-as-you-go clusters are in vogue Network topologies have been flattened
  • 11. 11 11 True Convergence From “Duct Taped” hardware to software-based convergence
  • 12. 12 With software, scale-out, not scale-up Convergence 1.0 to 2.0 From “Duct Taped” hardware to true (hyper)convergence
  • 13. 13 True Convergence Reducing space, power, complexity, and cost
  • 14. 14 True Convergence The rack-mount (x86) server is the “true north”
  • 15. 15 True Convergence Web-scale lessons define the “true north”