21st Century Industrialization - Aventri
32
Transcript of 21st Century Industrialization - Aventri
21st Century Industrialization:
Introducing Data Factories
Joe Polastre, PhD
Chief Technology Officer & Co-founder
Sentilla Corporation
Resource Planning
Align IT with the Business
Data center space, power and/or cooling
because of equipment sprawl
Aligning activities with the business
Modernizing of our legacy application
Developing a private/public cloud strategy
Making due with smaller budgets
Managing the rate of technology change
Virtualization
Finding/retaining IT talent
Determining how to source IT services
Source: Gartner (ID:G00205779, ID:G00174420)
What is the largest data center challenge that you face?
Agenda
• A look at four Factory IT concepts:
– Capacity vs Cost – The utilization problem
– Connecting IT to business value
– Metrics
– Holistic decision making
Cost versus Capacity
Software License
System & Application Monitoring Tools
Server Hardware
Storage & Network Hardware Resources
Operations & Personnel
Software Maintenance, Upgrades, & Support
Hardware Maintenance
Operating System / Hypervisor
Data Center Space
Data Center Power & Cooling Infrastructure
Energy Bill
Power
Space
Cooling
Compute
Application Components Data Center Resources
The Utilization Problem Affects Everyone
• Typical data center utilization: 8-12%
• Equipment added, but old equipment not removed/replaced
• 15% unusued – Costing $24.7b/year
– Only $4b is energy
• 83% of data center managers “don’t have a grasp on utilization” [source: ASE]
Graph from Borroso and Holzle, 2007
Are Today’s Systems in Use?
0
2
4
6
8
10
12
14
Number of CPUs
Max CPU Usage
Min CPU Usage
Unused Capacity
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
80.00%
Max Usage Normalized
Min Usage Normalized
Massive Underutilization A look at 100 hosts over 30 days
12 Servers – 1U 1 Blade Chassis – 12 Blades
1800 Watts @ 15% Utilization 2010 Watts @ 15% Utilization
2700 Watts Max Consumption 2880 Watts Max Consumption
(for computation of power consumption, both systems have same CPU, memory, and disk configuration)
Densification is not always the Answer
What’s the Business Value?
12 Servers – 1U 1 Blade Chassis – 12 Blades
15%
15%
15%
15%15%
15%
15%
15%15%
15%
15%
15%
10% Application5% Operating System
10% Application5% Operating System
10% Hypervisor
25%
Average
Utilization
10%
Application
Utilization
15%
Average
Utilization
10%
Application
Utilization
Applications doing nothing
are still doing nothing
after virtualization!
One project drives Many
Source: Gartner (ID:G00205779, ID:G00174420)
Server Mortality
=357 days/year
PUE
Power Usage Effectiveness • As developed by The Green Grid
PUE = Total Power Consumed
IT Power Consumed
DCiE= 1
PUE
A Look at Server Consolidation
2.248 MW
$1.57m/year
PUE = 2.059
1.795 MW
$1.25m/year
PUE = 2.326
Cost
Capacity
PUE =
6.384
21
PUE =
2.059
PUE is not a measure of EFFICIENCY
Efficiency =
Useful Work
Quantity of Energy
100W
1500 lumens
25W
1700 lumens
Correlate Business Value with IT Transition from IT-as-a-cost-center to IT-as-a-service
The Real TCO of Sustainability
$150,000
capex
$200,000
capex +
$202,500
3-year
cost of fuel
+
$135,000
3-year
cost of fuel
$352,500
3-year
TCO
$335,000
3-year
TCO
The Real TCO of Green IT
Factors:
CapEx of Server
Useful Work it Performs
Energy Operating Cost
Operational Management
1U servers Blade server
12 servers 8 blades
25.2mops/sec 25.8mops/sec
$72,000 capex $94,000 capex
8.4kW load 3.9kW load
$17.6k/3yr IT $8.2k/3yr IT
$38.7k/3yr Total $14.7k/3yr Total
$111k TCO $109k TCO
Developing Business Cases Speak the CFO’s language
Simulate, then Track
Visibility
IT
Service
Desk
IT Business
Management
Service Cost
Management
Financial
Management
ReportingBO Data
warehouse
Dashboards
Vendor
Management
Capacity
Management
CMDB
Asset
Management
Change
Management
Incident
Management
Facility
Management
IT
Management
Tools must be Cooperative
Holistic Workflow An example of server and service placement
Ticket
Created
Initiate
Allocation
Analysis
Get
Power
Use &
Capacity
Get Perf
Metrics
Estimate
New
Equip
Power
Normalize
Choices
Change
Approved
Update
Ticket
with
Choices
Select
Location
Start
Monitor
Deliver
Metrics
Service
Request
Evaluate
SLA
Get Cost
& Perf
Data
Evaluate
Choices
for
Placement
Provision
Workload
Placement
Ticket
Closed
Start
Monitor
Service
Ticket
Closed
Takeaway:
Deliver More Services
• Data centers are 30 years behind other industries
• It is more than just servers! – Run the data center holistically
– Storage, Networking, Switches, PDUs, UPSs, CRACs, etc
• Use capital and equipment to deliver more services in the same footprint
• Baseline costs to best deliver IT as a service to your organization – Effectively evaluate the financial impacts
of projects
– Connect IT performance to revenue, profit, and costs
• Software is the key to an efficient data factory
