The Software Driven Datacenterdownload3.vmware.com/vmworld/...Wednesday-Keynote.pdf · Building Out...
Transcript of The Software Driven Datacenterdownload3.vmware.com/vmworld/...Wednesday-Keynote.pdf · Building Out...
The Software Driven
Datacenter
Hardware Costs
Hardware Costs
Three Major Trends are Driving
the Evolution of the Datacenter
Innovation in CPU and Memory….
1
10
100
1000
10000
1968 1973 1978 1983 1988 1993 1998 2003 2008 2013 2018
DRAM$/GB
CPUprocess technologies
1 nm
10 nm
100 nm
1 µm
10 µm
Source: Gartner Dataquest, Forecast: DRAM Market Statistics (1Q11)
$0
$25
$50
$75
$100
2005 2007 2009 2011 2013
… Leads to More Processing Power per Server…
0
5
10
15
20
25
30
35
2000 2002 2005 2008 2010 2013
0
500
1,000
1,500
2,000
2,500
2000 2002 2005 2007 2009 2010 2011
Source: Forrester Research, The x86 Server Grows Up And Out (October 8, 2010)
Threads Per Socket (2 per core) Maximum Memory in GB
…at Lower and Lower Cost
Cost Includes the entire server (i.e. CPU, memory, etc.) except for add-on cards. Source: IDC Worldwide Virtualization Tracker, 2010
$0
$5,000
$10,000
$15,000
$20,000
$25,000
2006 2007 2008 2009 2010
2013 = $5K
Average Cost Per Virtualized Server
2013
Hardware Costs
Three Major Trends are Driving
the Evolution of the Datacenter
The World is Majority Virtualized
Source: IDC Worldwide Virtualization Tracker, 2010
A New Datacenter Architecture
9%14%
22%
33%
42%
51%
59%65%
69%
% Virtualized(of all installed workloads WW)
2005 2006 2007 2008 2009 2010 2011 2012 2013
Convergence is Happening on Many Fronts
Convergence on
x86 processors
Converged IO
Converged
systems
The Result? Hyper-density!
In 2014, an average server:
• 2-CPU
• 16 core per socket
• 300 GB RAM
• 320 VMs
Leading to the all-x86, software-driven datacenter
Hardware Costs
Three Major Trends are Driving
the Evolution of the Datacenter
What We Run on Servers is Also Changing…
New Types of Interactions
New Devices
New Frameworks
Data Growth & New Data Types
New Infrastructures & Platforms
New Architecture Required
Apps
HW
Existing Architecture Emerging Architecture
The Forces at Work
New Architecture and Operating Model
for the Datacenter
Hardware Costs
The New Cloud Architecture and Operating Model
From…
(old world)
To…
(new world)
Benefit / Business
Goals
Static and
location-bound
Elastic and mobile
$100 / year
Break:
Troubleshoot,
Fix
Break - Replace
<2 min failure recovery
Manual operations
Intelligent policy mgmt
10,000 VMs : 1 admin
The New Cloud Architecture and Operating Model
From…
(old world)
To…
(new world)
Benefit / Business
Goals
Static and
location-bound
Elastic and mobile
$100 / year
Break:
Troubleshoot,
Fix
Break - Replace
<2 min failure recovery
Manual operations
Intelligent policy mgmt
10,000 VMs : 1 admin
How is this done today?
Start with open source code…
…add a lot of computer science PhDs…
…to custom-build it for a single application!
Grid
… for a much more diverse application landscape
How is the industry enabling this?
Federate geo-distributed
sites and providers
Hybrid Cloud
Transformation
Re-define hardware /
software boundary
Cluster
Transformation
Run a broad diversity
of workloads
Hypervisor
Transformation
Federate geo-distributed
sites and providers
Hybrid Cloud
Transformation
Re-define hardware /
software boundary
Cluster
Transformation
Building Out The Future Datacenter:
The Future Virtualization Platform
Server
Hypervisor
Transformation
Data Caching
ServicesPaaSInfrastructure as a Service - Resource Pooling and QOS
Infrastructure as a Service - Resource Pooling and QOS
Today, IaaS and PaaS Stand
as Separate Environments
Grid
IaaS and PaaS will Blend as Services to Support All Apps
Infrastructure &
Management Services
Messaging
ServicesObject Models
Infrastructure Platform as a Service - Resource Pooling and QOS
Building Out The Future DC:
The DC Building Block
Server DC Pod/Cluster
Hypervisor
Transformation
Hybrid Cloud
Hybrid
Transformation
Cluster
Transformation
Today’s Constraints on Datacenter Consolidation
Artificial Constraints!
Cluster A Cluster C
Cluster B Cluster D
New Software-Driven Storage Infrastructure
Emerging to Serve New Apps
vSphere
Local Disk
Scale-out storage
Cloud storage
Blob
Enabling Dynamic, Workload-aware Networks
Performant Scalable Networks
Extensible, Scale Out
Network Services
Provisioning and Automation
VDC VDC
Network Virtualization
Enabling Scalable, Agile, Virtual NetworksN
etw
ork
ing
Tele
ph
on
y
Identifier = Location
192.168.10.1
650.555.1212
650.555.1212
Identifier = Location
Wireless
Telephony
VXLAN
192.168.10.1
vSphere
VXLAN – How It Works
vSphere
VLAN 10
FE:AA:03:F4
Payload
IP Payload
IP Payload192.168.1.0/24 VLAN 100 172.168.1.0/24
Sender
FE:AA:03:F5
Receiver
Physical network A Physical network B
Payload
IP Payload
IP Payload
Works with any switching fabric
Open standard
Key Properties
Security and Isolation: Physical Virtual
Cloud Infrastructure
Gold BronzeSilver
Trust Zone
“Nosy Neighbor”
Secure Isolation Accomplished Efficiently:
Identity Based
Finance HR
From: To:
Finance HR
Building Out The Future Datacenter:
The Hybrid Cloud
Server DC Pod/Cluster
Hypervisor
Transformation
Cluster
Transformation
Hybrid Cloud
Hybrid
Transformation
Scaling Across Datacenters
Virtual Data
Center
DR plan
Back up
Anti-virus
Gold BronzeSilver
99.99%
1 hour
Daily
High I/O
High
99.9%
3 hour
Weekly
Med I/O
Med
99.0%
None
None
Low I/O
Low
99.99%
1 hour
Daily
High I/O
High
99.9%
3 hour
Weekly
Med I/O
Med
99.0%
None
None
Low I/O
Low
Intelligent Policy Management Will Need to Go Beyond the DC
Availability = 99.99%
DR RTO = 1 hour
Max Latency = 500 ms
SLA Definitions
Availability 99.99%
DR RTO 1 hour
Back up Daily
Performance High I/O
Security High
?Availability
DR RTO
Back up
Performance
Security
Cloud InfrastructureDatacenter 1 Datacenter 2 Datacenter 3
X-Datacenter and X-Cloud Placement Engine
Our Current Compliance Infrastructure
Assumes Two Worlds
Wild Wild West….
Compliant
Authenticated
Encrypted
Anti-virus
The Datacenter The Public Cloud
New World: Security and Compliance
for the Hybrid Cloud
Volume of DC Events & Metrics Require
New Statistical Management Techniques
SecurityEvents
HW
Performance
Availability
Admin
Actions
App
Performance
Usage Data Metrics
Web App
How do we
leverage all of
this data?
What is the Desired State?
Just as all matter can be assembled from a
few standard sub-atomic particles…
…so the DC of the future will be assembled
from standard components…
…all managed by intelligent,
highly automated software