Infrastructure Monitoring Management
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Transcript of Infrastructure Monitoring Management
Enable Data Center Infrastructure Management Via Critical Monitoring:
Ten Proactive Strategies to Deploy Today to be Ready for DCIM Tomorrow
Emerson Network Power: The global leader in enabling Business-Critical Continuity
Automatic Transfer Switch
ParallelingSwitchgear
Uninterruptible Power Supplies & Batteries
Fire Pump Controller
Surge Protection
Extreme-DensityPrecision Cooling
Power Distribution UnitsData Center Infrastructure Management
Integrated Racks
Cooling
RackRack Power
Distribution Unit
KVM Switch
UPS
Monitoring
Cold Aisle Containment
Row-Based Precision Cooling
TM
Emerson Network Power Overview
Advancing Infrastructure Monitoring to Enable Infrastructure Management in the Data Center
Bay Area Internet Solutions’ Building Management and Electrical Monitoring Systems
Question and Answer Session
Presentation topics
Advancing Infrastructure Monitoring to Enable Infrastructure Management in the Data Center
Matt Zieg, Manager, Product Marketing, Liebert Monitoring, Emerson Network Power
Top data center challengesVirtualization,
Cloud
Increasing Demand
Reduced Budget
Higher Density
Regulation Compliance
IT Outsourcing Consolidation
Efficiency & Green
initiatives
External forces changing the
business climate
Business and technologyforces pressing on the
data center
Facility Challenges
Infrastructure Management
Heat Density
Availability
Energy Efficiency
Power Density
Source: Data Center Users’ Group Survey
Top data center concernsSpring 2008 Spring 2009 Spring 2010
Heat Density (Cooling)
Heat Density (Cooling)
Adequate Monitoring / Data Center Management Capabilities
Power Density Energy Efficiency (Energy Costs and Equipment Efficiency)
Heat Density (Cooling)
Availability (Uptime)
Adequate Monitoring / Data Center Management Capabilities
Availability (Uptime)
Adequate Monitoring / Data Center Management Capabilities
Availability (Uptime)
Energy Efficiency (Energy Costs and Equipment Efficiency)
Energy Efficiency (Energy Costs and Equipment Efficiency) Power Density Power Density
Space Constraints / Growth Space Constraints / Growth Space Constraints / Growth
Source: Data Center Users’ Group Survey
The Emerson approach
Drive lower 1st cost Ease of deployment Lower engineering costs Energy efficiency Maximum leverage of existing
resources
Diagnostics for availability Performance optimization Easing change management Improved asset utilization Dynamic, real time
infrastructure managementPower & Cooling Equipment
Infrastructure Services Software & Communications
Reducing the Cost of Design & Operation
Reducing the Cost of Management
Data Center Infrastructure Management -optimized performance
A car’s performance is optimized through– Sensors– Monitoring dashboard– Real time diagnosis and
data
You know how much fuel you have left
Alerted if you’re overheating You know if you’re running
efficiently or not
Data Center Infrastructure Management -optimized performance
A data center’s performance is optimized by– Sensors and networked
devices– Monitoring dashboard– Real time diagnosis & data
You know how much capacity you have left
Alerted if you’re overheating You know if your facility is operating
efficiently or not
Power Meters
Battery Monitors
UPS Web CardsCooling
Control
Temperature Sensors
Server Control
Managed Rack PDU
KVM Switch
Leak Detection
Systematic approach to DCIM
Measurement
Centralized Management
Control
Improve data center efficiency, availability and capacity utilization through infrastructure monitoring
Building foundation for DCIM
1. Sensing temperatures2. Monitoring power usage3. Monitoring rack
conditions4. Detecting fluid leaks5. Intelligent control of
precision cooling
6. Intelligent control of critical power
7. Managing alerts and alarms8. Monitoring energy efficiency9. Monitoring batteries10.Monitoring and managing
remotely
If You Can’t Measure It, You Can’t Control It
Measurement
Data collection throughout the data center ecosystem
Opportunities throughout the data center to collect data to enhance management of the entire ecosystem
What do I measure?
Sensing temperatures– Precision cooling return air– Rack inlets– Rack exhaust
More precise control of cooling capacity
10 degree increase in server inlet temperature equals 21 percent reduction in cooling energy costs
What do I measure?
Rack conditions– Access visibility Minimize human errors
– Where do I have space? Connectivity
Best practice: Segment racks by density and business critical needs
What do I measure?
Fluid leaks– Top cause of unplanned
downtime*
– Water pipes– Condensation– Adjacent spaces (i.e.
restrooms)
Best practice: Around all cooling systems and under rack rows
* 2010 Ponemon Institute Study
What do I measure?
Fluid leaks– Top cause of unplanned
downtime*
– Water pipes– Condensation– Adjacent spaces (i.e.
restrooms)
Best practice: Around all cooling systems and under rack rows
* Source: 2010 Ponemon Institute Study
What do I measure?
Power usage– Data center input– UPS output– Floor PDU– Rack PDU
Required for capacity management and efficiency– PUE
Best practice: Intelligent Rack PDU’s
Data collection throughout the data center ecosystem
Strategic use of data points enable holistic management of the entire space
Control
Enhance Reliability,Improve Performance,
Increase Efficiency
Efficiently manage temperature set points, humidity levels and airflow
Coordinate operation of multiple units as a “team”– Mitigate over- / under-cooling
Best practice: Intelligent controls in room, row and rack cooling systems
Intelligent control
Optimize UPS system performance– Mitigate conversion “losses”
“Intelligent paralleling” can enable more efficient operation and energy optimization
Best practice: Integrate intelligent controls into all UPS systems
Precision Cooling Critical Power
TEMP CONTROL SENSOR
Variable Fan Speed
FAN SPEED CONTROL SENSOR
75-80°F
72-75°F
70-72°F
% L
oad
3 Units @ 25% Load Each = 90% Efficiency
% L
oad
2 Units @ 38% Load = 92% Efficiency
Centralized Management
Move Beyond Just Collecting Data–Use it to Improve Performance
Centralized alarm management system can help prevent problems before they happen
Allows for faster, more effective response to system problems
Enables analysis of equipment operating trends and development of more effective preventive maintenance programs
Managing alerts and alarms
Reduce energy consumption while increasing IT productivity
Track total data center consumption and automatically calculate and analyze PUE
Best practice: Rack-level monitoring provides most accurate picture of IT equipment power consumption
Monitoring energy efficiency
Weakest link in UPS system #1 cause of unplanned downtime Preventive Maintenance visits are an
important first step Dedicated battery monitoring provides early
notifications and ensures cell deterioration is identified early enough to schedule a PM visit
Emerson survey found that customers using battery monitoring experienced half as many battery failures
Best practice: Implement monitoring system that connects to and tracks health of each battery within a string
Monitoring batteries
Remote monitoring can liftburden of onsite infrastructure monitoring
Creates efficient use of human resources
Enhanced data analysis and specialization reduces downtime
Monitoring and managing remotely
Reduce power and cooling energy costs
Increase system efficiencies
Support higher capacities
Eliminate stranded capacity
Enhance data center availability
Eliminate common causes of data center downtime
Gain visibility and control required for data center optimization
Benefits of infrastructure monitoring
Importance of data center infrastructure has elevated
Companies lack cohesive management strategy for data center infrastructure
IT ManagementData Center Infrastructure
Building Management
?
www.bayarea.net
Bay Area Internet SolutionsBuilding Management and Electrical
Monitoring Systems
BAISTM, Inc.: Leading Innovation in Silicon Valley’s Co-Location Datacenter Facilities
Tom WyePresident & CEO
Bay Area Internet Solutions
www.bayarea.net
Bay Area Internet SolutionsBAIS, Inc
Founded in 1995 Located in Silicon Valley, California Facilities Based MSP, offering
o Co-Location o Managed IT Solutionso High Speed Internet Access
2050 Martin AveSanta Clara, CA 95050
www.bayarea.net
13.5 MW Tier IV Datacenter 83,000 sq. ft. facility N+1, Fully Redundant 2,800 Tons of Cooling 8,000kVA of UPS Cold Aisle Containment 30 inch raised floor Outside Air Economizer
Design Comprehensive Monitoring &
Building Management System (BMS) with integrated network, mechanical, electrical and security systems
State-of-Art FacilityBuilt in 2009
www.bayarea.net
Comprehensive BMS Systemo Temperature, Humidity, Air Pressure control
Chiller Plant controlo Economizer Management
Fanwalls Data Center CRAC VFD speeds Chiller Plant staging
Complete Electrical Monitoringo Power usageo Battery Cell Voltageo Alarms and Trending
PUE Monitoring & Trending
The Need for Monitoring & Management to Meet Customer SLA Requirements
www.bayarea.net
Manned 24/7 NOC• Building Management• Electrical Monitoring• Security and Access Control• Fire and Smoke Detection
Network Operations Center
www.bayarea.net
Environmental Control Systems:
• Chiller Plant• CRAC units
BMS System
www.bayarea.net
Economizer Management
BMS System
www.bayarea.net
Environmental Trends
BMS System
www.bayarea.net
Liebert SiteScanData Center
• CRACs• PDUs• RPCs
www.bayarea.net
Electrical RoomMonitoring• Utility Feeders• 12kV-to-480v• Generators and
Fuel Levels• Paralleling Gear• ATS• UPS • Battery• STS
Liebert SiteScan
www.bayarea.net
Real-Time PUE & DCiE Calculation
www.bayarea.net
Mechanical• UPS• PDU
Mechanical vs. IT Load
www.bayarea.net
Outside Air Economizer Design (30-90%) Cold Aisle Containment (25-95%) CRAC units with EC plug fans (10-30%) VFD upgraded Chillers and Cooling Towers (10-30%) High Efficiency UPS Systems (3-5%) High Efficiency Power Distribution Units (2-5%) Energy Efficient Lighting (30-50%)
SVP Energy Innovator Award Winner of 2009
Monitoring and Measuring Energy Savings
www.bayarea.net
Meeting Customer SLA Requirementso Proactive monitoring and management of all our co-
location facility systemso Prevention of outages
Multiple level of threshold alerts, e.g. early warning vs. critical
Efficient Control and Management of Resourceso Automated
Data collection, analysis, alerting and reporting Mechanical system controls and failure recovery
o Keeping electrical cost down by managing PUE using trending data
o Preventive equipment maintenance using alarms and trending data
o Capacity planning
SummaryBAIS Achieving Corporate Standards
Q & A
Matt Zieg, Manager, Product Marketing, Liebert Monitoring,
Emerson Network Power Tom Wye, President & CEO, Bay Area Internet Solutions
(BAIS, Inc.)