SlideShare a Scribd company logo
1 of 26
Download to read offline
© 2009 42U All rights reserved,[object Object],1,[object Object],The Data Center in Real Time: Monitoring Tools Overview & Demo ,[object Object],Presenters:,[object Object],Daniel Skrove – Sales Engineer,[object Object],Steve Lewis – Director of Sales,[object Object]
© 2010 42U All rights reserved,[object Object],2,[object Object],Agenda,[object Object],The Need for Monitoring,[object Object],Monitoring Approaches,[object Object],Point in Time,[object Object],Real Time,[object Object],The Value of “Real Time”,[object Object],Live Demo,[object Object],Questions,[object Object]
© 2010 42U All rights reserved,[object Object],3,[object Object],Emerson Data Center Users Group Survey- Spring 2009,[object Object],“Forty-seven percent of respondents listed energy efficiency as one of their top facilities and network concerns, while 46 percent listed adequate monitoring in their top three concerns.”.,[object Object]
© 2010 42U All rights reserved,[object Object],4,[object Object],Emerson Data Center Users Group Survey- Fall 2009,[object Object],“[Availability] jumped from the fourth most important concern just six months earlier to the number one concern.”,[object Object]
The Value of Monitoring,[object Object],COST OF POWER…………..$$$	,[object Object],COST OF INEFFICIENCY….$$$,[object Object],COST OF DOWNTIME……..$$$$,[object Object],OWNERSHIP……………......IT or FACILITIES,[object Object],SLAs…..,[object Object],Can you afford not to? ,[object Object],© 2010 42U All rights reserved,[object Object],5,[object Object]
Monitoring Approaches,[object Object],Point in Time Vs Real Time ,[object Object],© 2010 42U All rights reserved,[object Object],6,[object Object]
Sneaker Net ,[object Object],Point in Time Measurements,[object Object],One day investigation,[object Object],Readings from critical components: UPS, Panels, HVAC, BMS,[object Object],Clipboard readings entered into spreadsheets,[object Object],3rd party: report & recommendations,[object Object],© 2010 42U All rights reserved,[object Object],7,[object Object]
What to Record?,[object Object],© 2010 42U All rights reserved,[object Object],8,[object Object],Temperature,[object Object],Humidity,[object Object],Fan Speed,[object Object],Alarms,[object Object],Setpointvs Production,[object Object],HVAC,[object Object],Volts,[object Object],Amps,[object Object],Battery Operation,[object Object],Power Factor,[object Object],KW(A) in / KW(A) out,[object Object],Efficiency,[object Object],	UPS,[object Object],Depending on the model:,[object Object],Volts,[object Object],Amps,[object Object],Per Whip values,[object Object],	PDU/RPP,[object Object],Depending on model:,[object Object],Amps per PDU,[object Object],Amps per Socket,[object Object],Amps per Circuit,[object Object],Rack PDU,[object Object]
Sneaker Net Benefits,[object Object],© 2010 42U All rights reserved,[object Object],9,[object Object],42U Point In Time Assessment Findings:,[object Object],“Raised access floor has no supplemental grounding system. The raised access floor should have a grounding grid wire for better high frequency noise and static electricity protection”,[object Object],“The existing CRACs have been problematic… Cooling capacity far exceeds heat generation today but the reliability isn’t optimal “	,[object Object],“(Customer’s) IT load is 95kW and the input power to the data center is 226.699 kW yielding a PUE of 2.386”,[object Object]
Sneaker Net Cont’d,[object Object],© 2010 42U All rights reserved,[object Object],10,[object Object],How do we maximize the data?,[object Object],Is it reported, trended?,[object Object],Aggregated?,[object Object],Quality of Analysis?,[object Object]
© 2010 42U All rights reserved,[object Object],11,[object Object],Is there a better way?,[object Object],Containment Video: LiveImaging Showing LBNL Data Center Overheating Issue ,[object Object]
Real Time Measurement,[object Object],© 2010 42U All rights reserved,[object Object],12,[object Object],Branch Circuit Monitoring,[object Object],Real Time PUE,[object Object]
More Real Time Tools,[object Object],© 2010 42U All rights reserved,[object Object],13,[object Object],Temperature,[object Object],Zone Alerts,[object Object],Chiller,[object Object]
Previous Survey Concerns,[object Object],1. AVAILABILTY,[object Object],Real time tools ensure operation within designated guidelines such as ASHRAE or other industry accepted parameters. ,[object Object],2. EFFICIENCY,[object Object],Real time tools establish an operational baseline that can be historically trended for remediation control. ,[object Object],3. ADEQUATE MONITORING,[object Object],Real time tools measure proactively, protecting & trending all facets of physical infrastructure. ,[object Object],© 2010 42U All rights reserved,[object Object],14,[object Object]
An Array of Data,[object Object],© 2010 42U All rights reserved,[object Object],15,[object Object],Min, Max, Average HVAC supply temperatures ,[object Object],Min, Max, Average HVAC return temperatures ,[object Object],Min, Max, Average HVAC temperature delta ,[object Object],Air Loss Ratio,[object Object],Bypass Air Ratio,[object Object],Recirculation Air Ratio,[object Object],Fan Energy,[object Object],HVAC,[object Object],UPS In,[object Object],UPS Out,[object Object],IT Load,[object Object],	UPS,[object Object],Current,[object Object],Voltage,[object Object],Power,[object Object],IT Load,[object Object],	PDU/RPP,[object Object],Cold Aisle Temperature,[object Object],Hot Aisle Temperature,[object Object],Humidity,[object Object],Thermal Maps,[object Object],Rack,[object Object]
Reporting to a Common Database,[object Object],PDU,[object Object],CRAH,[object Object],Rack,[object Object],Chilled Water Flow,[object Object],Sub-floor,[object Object],Disparate vendor products and protocols now speak the same language: efficiency.,[object Object],16,[object Object]
Real Time: Thermal Map,[object Object],Other Maps Available,[object Object],Temps below 55F,[object Object]
Real Time: Thermal Report ,[object Object],© 2010 42U All rights reserved,[object Object],18,[object Object],Values based on user-defined time periods ,[object Object]
Real Time: Cooling Energy,[object Object],GATEWAY,[object Object],ENERGY METER,[object Object],WIRELESSSENSOR,[object Object],REAL TIME POWER VALUES FOR THIS PANEL ,[object Object]
Remediation- Next Steps,[object Object],Cooling Infrastructure,[object Object],Aisle Containment (Cold or Hot)? ,[object Object],Raising Temperature Setpoint? ,[object Object],Variable Frequency Drive Retrofit (if CHW)? ,[object Object],The framework is in place to visualize the effects and quantify the results. ,[object Object],© 2010 42U All rights reserved,[object Object],20,[object Object]
Real-Time Implementation,[object Object],Data Center Survey,[object Object],Best practices & ROI,[object Object],Potential rebates,[object Object],Executive managerial buy-in,[object Object],Establish efficiency team & goals,[object Object],Plan,[object Object],Execute,[object Object],Install instrumentation & software,[object Object],Perform energy utilization audit,[object Object],Calculate current benchmark ,[object Object],Measure,[object Object],Data Collection,[object Object],Environmental Monitoring,[object Object],Analysis,[object Object],Report,[object Object],Recommendations,[object Object],Reconfiguration plan,[object Object],Efficiency improvements,[object Object],Remediate,[object Object],Low Hanging Fruit,[object Object],Progressive Changes,[object Object],Savings Reinvested,[object Object],Ongoing Improvement,[object Object]
Live Demo,[object Object],© 2010 42U All rights reserved,[object Object],22,[object Object]
Takeaways,[object Object],© 2010 42U All rights reserved,[object Object],23,[object Object],Meeting of industry thought leaders convened on January 13, 2010 “to agree on datacenter energy efficiency measurements, metrics, and reporting conventions.”,[object Object],Results of the Meeting: ,[object Object],“Power Usage Effectiveness (PUE) using source energy consumption is the preferred energy efficiency metric for data centers.”,[object Object],When calculating PUE, IT energy consumption should, at a minimum, be measured at the output of the uninterruptible power supply (UPS). However, the industry should progressively improve measurement capabilities over time so that measurement of IT energy consumption directly at the IT load (i.e., servers) becomes the common practice.”,[object Object],SOURCE: http://www1.eere.energy.gov/industry/datacenters/news_detail.html?news_id=15799,[object Object]
The Future is Now,[object Object],© 2010 42U All rights reserved,[object Object],24,[object Object],TheProgressive Improvement is available today: ,[object Object],Rack level power consumption,[object Object],Ongoing PUE measurement,[object Object],Informed decision making with non-invasive installation,[object Object],Impactful at all data center sizes,[object Object],Branch Circuit Monitoring,[object Object],Real Time PUE,[object Object]
Questions?,[object Object],For a copy of today’s presentation, please email Rebecca.McCue@42U.com,[object Object],For additional information on 42U’s products and services, please visit:,[object Object],http://www.42U.com,[object Object],Or Speak to your Solutions Consultant Today,[object Object]
Dedicated to Improving Data Center Performance,[object Object],Thank You!,[object Object]

More Related Content

What's hot

Green Machines - How OEMs can improve the energy efficiency of machine
Green Machines - How OEMs can improve the energy efficiency of machine Green Machines - How OEMs can improve the energy efficiency of machine
Green Machines - How OEMs can improve the energy efficiency of machine Schneider Electric India
 
Comprehensive Energy Management Strategy
Comprehensive Energy Management StrategyComprehensive Energy Management Strategy
Comprehensive Energy Management StrategySchneider Electric
 
Microgrid & renewable integration at burbank water & power
Microgrid & renewable integration at burbank water & powerMicrogrid & renewable integration at burbank water & power
Microgrid & renewable integration at burbank water & powerSchneider Electric
 
Energy solutions for federal facilities : How to harness sustainable savings ...
Energy solutions for federal facilities : How to harness sustainable savings ...Energy solutions for federal facilities : How to harness sustainable savings ...
Energy solutions for federal facilities : How to harness sustainable savings ...Schneider Electric
 
SC17 Panel: Energy Efficiency Gains From HPC Software
SC17 Panel: Energy Efficiency Gains From HPC SoftwareSC17 Panel: Energy Efficiency Gains From HPC Software
SC17 Panel: Energy Efficiency Gains From HPC Softwareinside-BigData.com
 
Future of IIoT Predictive Maintenance Study
Future of IIoT Predictive Maintenance StudyFuture of IIoT Predictive Maintenance Study
Future of IIoT Predictive Maintenance StudyPresenso
 
Predictive Maintenance vs Preventive Maintenance
Predictive Maintenance vs Preventive MaintenancePredictive Maintenance vs Preventive Maintenance
Predictive Maintenance vs Preventive MaintenanceMobility Work
 
Eco-Mode: Benefits and Risks of Energy Saving Modes of UPS Operation
Eco-Mode: Benefits and Risks of Energy Saving Modes of UPS OperationEco-Mode: Benefits and Risks of Energy Saving Modes of UPS Operation
Eco-Mode: Benefits and Risks of Energy Saving Modes of UPS OperationSchneider Electric
 
Green data center_rahul ppt
Green data center_rahul pptGreen data center_rahul ppt
Green data center_rahul pptRAHUL KAUSHAL
 
Machine learning for predictive maintenance external
Machine learning for predictive maintenance   externalMachine learning for predictive maintenance   external
Machine learning for predictive maintenance externalPrashant K Dhingra
 
BLOG-POST_DATA CENTER INCENTIVE PROGRAMS
BLOG-POST_DATA CENTER INCENTIVE PROGRAMSBLOG-POST_DATA CENTER INCENTIVE PROGRAMS
BLOG-POST_DATA CENTER INCENTIVE PROGRAMSDaniel Bodenski
 
Leveraging AMI for Outage Management
Leveraging AMI for Outage ManagementLeveraging AMI for Outage Management
Leveraging AMI for Outage ManagementSchneider Electric
 
Why predictive maintenance should be a combined effort
Why predictive maintenance should be a combined effortWhy predictive maintenance should be a combined effort
Why predictive maintenance should be a combined effortWouter Verbeek
 
How to enhance hyperconvergence with infrastructure management
How to enhance hyperconvergence with infrastructure managementHow to enhance hyperconvergence with infrastructure management
How to enhance hyperconvergence with infrastructure managementrdelima
 
Predictive Maintenance Solution -1019
Predictive Maintenance Solution -1019Predictive Maintenance Solution -1019
Predictive Maintenance Solution -1019Percy-Mitchell
 
Smart Grid Operational Services: Utilities Mobile IT Adoption
Smart Grid Operational Services: Utilities Mobile IT AdoptionSmart Grid Operational Services: Utilities Mobile IT Adoption
Smart Grid Operational Services: Utilities Mobile IT AdoptionCapgemini
 
What is Predictive Maintenance? Learn Its Benefits & Role of Industrial IoT
What is Predictive Maintenance? Learn Its Benefits & Role of Industrial IoTWhat is Predictive Maintenance? Learn Its Benefits & Role of Industrial IoT
What is Predictive Maintenance? Learn Its Benefits & Role of Industrial IoTEmbitel Technologies (I) PVT LTD
 
[Webinar Slides] Advanced distribution management system integration of renew...
[Webinar Slides] Advanced distribution management system integration of renew...[Webinar Slides] Advanced distribution management system integration of renew...
[Webinar Slides] Advanced distribution management system integration of renew...Schneider Electric
 

What's hot (20)

Green Machines - How OEMs can improve the energy efficiency of machine
Green Machines - How OEMs can improve the energy efficiency of machine Green Machines - How OEMs can improve the energy efficiency of machine
Green Machines - How OEMs can improve the energy efficiency of machine
 
Comprehensive Energy Management Strategy
Comprehensive Energy Management StrategyComprehensive Energy Management Strategy
Comprehensive Energy Management Strategy
 
Microgrid & renewable integration at burbank water & power
Microgrid & renewable integration at burbank water & powerMicrogrid & renewable integration at burbank water & power
Microgrid & renewable integration at burbank water & power
 
Energy solutions for federal facilities : How to harness sustainable savings ...
Energy solutions for federal facilities : How to harness sustainable savings ...Energy solutions for federal facilities : How to harness sustainable savings ...
Energy solutions for federal facilities : How to harness sustainable savings ...
 
Data Center Energy Efficiency Leadership
Data Center Energy Efficiency LeadershipData Center Energy Efficiency Leadership
Data Center Energy Efficiency Leadership
 
SC17 Panel: Energy Efficiency Gains From HPC Software
SC17 Panel: Energy Efficiency Gains From HPC SoftwareSC17 Panel: Energy Efficiency Gains From HPC Software
SC17 Panel: Energy Efficiency Gains From HPC Software
 
Future of IIoT Predictive Maintenance Study
Future of IIoT Predictive Maintenance StudyFuture of IIoT Predictive Maintenance Study
Future of IIoT Predictive Maintenance Study
 
PUE Reconsidered
PUE ReconsideredPUE Reconsidered
PUE Reconsidered
 
Predictive Maintenance vs Preventive Maintenance
Predictive Maintenance vs Preventive MaintenancePredictive Maintenance vs Preventive Maintenance
Predictive Maintenance vs Preventive Maintenance
 
Eco-Mode: Benefits and Risks of Energy Saving Modes of UPS Operation
Eco-Mode: Benefits and Risks of Energy Saving Modes of UPS OperationEco-Mode: Benefits and Risks of Energy Saving Modes of UPS Operation
Eco-Mode: Benefits and Risks of Energy Saving Modes of UPS Operation
 
Green data center_rahul ppt
Green data center_rahul pptGreen data center_rahul ppt
Green data center_rahul ppt
 
Machine learning for predictive maintenance external
Machine learning for predictive maintenance   externalMachine learning for predictive maintenance   external
Machine learning for predictive maintenance external
 
BLOG-POST_DATA CENTER INCENTIVE PROGRAMS
BLOG-POST_DATA CENTER INCENTIVE PROGRAMSBLOG-POST_DATA CENTER INCENTIVE PROGRAMS
BLOG-POST_DATA CENTER INCENTIVE PROGRAMS
 
Leveraging AMI for Outage Management
Leveraging AMI for Outage ManagementLeveraging AMI for Outage Management
Leveraging AMI for Outage Management
 
Why predictive maintenance should be a combined effort
Why predictive maintenance should be a combined effortWhy predictive maintenance should be a combined effort
Why predictive maintenance should be a combined effort
 
How to enhance hyperconvergence with infrastructure management
How to enhance hyperconvergence with infrastructure managementHow to enhance hyperconvergence with infrastructure management
How to enhance hyperconvergence with infrastructure management
 
Predictive Maintenance Solution -1019
Predictive Maintenance Solution -1019Predictive Maintenance Solution -1019
Predictive Maintenance Solution -1019
 
Smart Grid Operational Services: Utilities Mobile IT Adoption
Smart Grid Operational Services: Utilities Mobile IT AdoptionSmart Grid Operational Services: Utilities Mobile IT Adoption
Smart Grid Operational Services: Utilities Mobile IT Adoption
 
What is Predictive Maintenance? Learn Its Benefits & Role of Industrial IoT
What is Predictive Maintenance? Learn Its Benefits & Role of Industrial IoTWhat is Predictive Maintenance? Learn Its Benefits & Role of Industrial IoT
What is Predictive Maintenance? Learn Its Benefits & Role of Industrial IoT
 
[Webinar Slides] Advanced distribution management system integration of renew...
[Webinar Slides] Advanced distribution management system integration of renew...[Webinar Slides] Advanced distribution management system integration of renew...
[Webinar Slides] Advanced distribution management system integration of renew...
 

Viewers also liked

Data Center Optimization with Avocent MergePoint Infrastructure Explorer (AMIE)
Data Center Optimization with Avocent MergePoint Infrastructure Explorer (AMIE)Data Center Optimization with Avocent MergePoint Infrastructure Explorer (AMIE)
Data Center Optimization with Avocent MergePoint Infrastructure Explorer (AMIE)42U Data Center Solutions
 
ATEN - Gestire i server: sempre e ovunque
ATEN - Gestire i server: sempre e ovunqueATEN - Gestire i server: sempre e ovunque
ATEN - Gestire i server: sempre e ovunqueATEN Infotech
 
Gaining Data Center Cooling Efficiency Through Airflow Management
Gaining Data Center Cooling Efficiency Through Airflow ManagementGaining Data Center Cooling Efficiency Through Airflow Management
Gaining Data Center Cooling Efficiency Through Airflow ManagementUpsite Technologies
 
Aten - Gestire i server: sempre e ovunque
Aten - Gestire i server: sempre e ovunqueAten - Gestire i server: sempre e ovunque
Aten - Gestire i server: sempre e ovunqueATEN Infotech
 
Implementing Hot and Cold Air Containment in Existing Data Centers
Implementing Hot and Cold Air Containment in Existing Data CentersImplementing Hot and Cold Air Containment in Existing Data Centers
Implementing Hot and Cold Air Containment in Existing Data CentersSchneider Electric
 
Hot Aisle & Cold Aisle Containment Solutions & Case Studies
Hot Aisle & Cold Aisle Containment Solutions & Case StudiesHot Aisle & Cold Aisle Containment Solutions & Case Studies
Hot Aisle & Cold Aisle Containment Solutions & Case Studies42U Data Center Solutions
 
Data Center Cooling Efficiency: Understanding the Science of the 4 Delta T's
Data Center Cooling Efficiency: Understanding the Science of the 4 Delta T'sData Center Cooling Efficiency: Understanding the Science of the 4 Delta T's
Data Center Cooling Efficiency: Understanding the Science of the 4 Delta T'sUpsite Technologies
 
Improving Hospital Support Systems and Facility efficiency with IOT_Michael S...
Improving Hospital Support Systems and Facility efficiency with IOT_Michael S...Improving Hospital Support Systems and Facility efficiency with IOT_Michael S...
Improving Hospital Support Systems and Facility efficiency with IOT_Michael S...Schneider Electric
 
Schneider Electric Data Center Reference Designs
Schneider Electric Data Center Reference DesignsSchneider Electric Data Center Reference Designs
Schneider Electric Data Center Reference DesignsSchneider Electric
 

Viewers also liked (16)

Eliminating Data Center Hot Spots
Eliminating Data Center Hot SpotsEliminating Data Center Hot Spots
Eliminating Data Center Hot Spots
 
Uncovering the Myths Behind Remote Power
Uncovering the Myths Behind Remote PowerUncovering the Myths Behind Remote Power
Uncovering the Myths Behind Remote Power
 
Data Center Optimization with Avocent MergePoint Infrastructure Explorer (AMIE)
Data Center Optimization with Avocent MergePoint Infrastructure Explorer (AMIE)Data Center Optimization with Avocent MergePoint Infrastructure Explorer (AMIE)
Data Center Optimization with Avocent MergePoint Infrastructure Explorer (AMIE)
 
ATEN - Gestire i server: sempre e ovunque
ATEN - Gestire i server: sempre e ovunqueATEN - Gestire i server: sempre e ovunque
ATEN - Gestire i server: sempre e ovunque
 
Gaining Data Center Cooling Efficiency Through Airflow Management
Gaining Data Center Cooling Efficiency Through Airflow ManagementGaining Data Center Cooling Efficiency Through Airflow Management
Gaining Data Center Cooling Efficiency Through Airflow Management
 
Aten - Gestire i server: sempre e ovunque
Aten - Gestire i server: sempre e ovunqueAten - Gestire i server: sempre e ovunque
Aten - Gestire i server: sempre e ovunque
 
Implementing Hot and Cold Air Containment in Existing Data Centers
Implementing Hot and Cold Air Containment in Existing Data CentersImplementing Hot and Cold Air Containment in Existing Data Centers
Implementing Hot and Cold Air Containment in Existing Data Centers
 
Hot Aisle & Cold Aisle Containment Solutions & Case Studies
Hot Aisle & Cold Aisle Containment Solutions & Case StudiesHot Aisle & Cold Aisle Containment Solutions & Case Studies
Hot Aisle & Cold Aisle Containment Solutions & Case Studies
 
Data Center Power Strategies
Data Center Power StrategiesData Center Power Strategies
Data Center Power Strategies
 
Data Center Cooling Efficiency: Understanding the Science of the 4 Delta T's
Data Center Cooling Efficiency: Understanding the Science of the 4 Delta T'sData Center Cooling Efficiency: Understanding the Science of the 4 Delta T's
Data Center Cooling Efficiency: Understanding the Science of the 4 Delta T's
 
Aten Infotech
Aten InfotechAten Infotech
Aten Infotech
 
Data Center Cooling Strategies
Data Center Cooling StrategiesData Center Cooling Strategies
Data Center Cooling Strategies
 
Data Center Cooling Study on Liquid Cooling
Data Center Cooling Study on Liquid CoolingData Center Cooling Study on Liquid Cooling
Data Center Cooling Study on Liquid Cooling
 
Data Center Optimization Best Practices
Data Center Optimization Best PracticesData Center Optimization Best Practices
Data Center Optimization Best Practices
 
Improving Hospital Support Systems and Facility efficiency with IOT_Michael S...
Improving Hospital Support Systems and Facility efficiency with IOT_Michael S...Improving Hospital Support Systems and Facility efficiency with IOT_Michael S...
Improving Hospital Support Systems and Facility efficiency with IOT_Michael S...
 
Schneider Electric Data Center Reference Designs
Schneider Electric Data Center Reference DesignsSchneider Electric Data Center Reference Designs
Schneider Electric Data Center Reference Designs
 

Similar to The Data Center in Real Time: Monitoring Tools Overview & Demo

Ppt4 london - michael rudgyard ( concurrent thinking ) driving efficiencie...
Ppt4   london -  michael rudgyard ( concurrent thinking ) driving efficiencie...Ppt4   london -  michael rudgyard ( concurrent thinking ) driving efficiencie...
Ppt4 london - michael rudgyard ( concurrent thinking ) driving efficiencie...JISC's Green ICT Programme
 
PUE Reconsidered - AFCOM (MI), July 2009
PUE Reconsidered - AFCOM (MI), July 2009PUE Reconsidered - AFCOM (MI), July 2009
PUE Reconsidered - AFCOM (MI), July 2009Henry Hsu
 
Power Usage Effectiveness (PUE): Status & Directions. By K. Winkler
Power  Usage Effectiveness (PUE): Status & Directions. By K. WinklerPower  Usage Effectiveness (PUE): Status & Directions. By K. Winkler
Power Usage Effectiveness (PUE): Status & Directions. By K. WinklerDCC Mission Critical
 
Better Data Center Infrastructure Management
Better Data Center Infrastructure ManagementBetter Data Center Infrastructure Management
Better Data Center Infrastructure ManagementViridity Software
 
Virtualization for Power Industry
Virtualization for Power IndustryVirtualization for Power Industry
Virtualization for Power IndustryAvanceon-Lahore
 
Facility Optimization
Facility OptimizationFacility Optimization
Facility Optimizationcwoodson
 
Squaring the DCIM circle - Guest Blog by Stephen Bowes-Phipps
Squaring the DCIM circle - Guest Blog by Stephen Bowes-PhippsSquaring the DCIM circle - Guest Blog by Stephen Bowes-Phipps
Squaring the DCIM circle - Guest Blog by Stephen Bowes-PhippsConcurrentThinking
 
ARC's Larry O'Brien Process Automation Presentation @ ARC Industry Forum 2010
ARC's Larry O'Brien Process Automation Presentation @ ARC Industry Forum 2010ARC's Larry O'Brien Process Automation Presentation @ ARC Industry Forum 2010
ARC's Larry O'Brien Process Automation Presentation @ ARC Industry Forum 2010ARC Advisory Group
 
How green standards are changing data center design and operations
How green standards are changing data center design and operationsHow green standards are changing data center design and operations
How green standards are changing data center design and operationsSchneider Electric
 
Improvements in Data Center Management
Improvements in Data Center ManagementImprovements in Data Center Management
Improvements in Data Center ManagementScottMadden, Inc.
 
jguijarro_Dc4cities_DCDC_Abril15
jguijarro_Dc4cities_DCDC_Abril15jguijarro_Dc4cities_DCDC_Abril15
jguijarro_Dc4cities_DCDC_Abril15Jordi Guijarro
 
Equota Pitch Deck EN 2015
Equota Pitch Deck EN 2015Equota Pitch Deck EN 2015
Equota Pitch Deck EN 2015Lucia Shen
 
Fluke Connect Condition Based Maintenance
Fluke Connect Condition Based MaintenanceFluke Connect Condition Based Maintenance
Fluke Connect Condition Based MaintenanceFrederic Baudart, CMRP
 
Datacenter Strategy, Design, and Build
Datacenter Strategy, Design, and BuildDatacenter Strategy, Design, and Build
Datacenter Strategy, Design, and BuildChristopher Kelley
 
Utilizing Analytics to Drive Change in Buildings - Apem Sept 18 2015
Utilizing Analytics to Drive Change in Buildings - Apem Sept 18 2015Utilizing Analytics to Drive Change in Buildings - Apem Sept 18 2015
Utilizing Analytics to Drive Change in Buildings - Apem Sept 18 2015buildpulse
 
Cisco Energy Management - Short
Cisco Energy Management - ShortCisco Energy Management - Short
Cisco Energy Management - ShortPaul Weight
 
Optimize power and cooling final
Optimize power and cooling finalOptimize power and cooling final
Optimize power and cooling finalViridity Software
 
Optimize power and cooling final 1
Optimize power and cooling final 1Optimize power and cooling final 1
Optimize power and cooling final 1Viridity Software
 

Similar to The Data Center in Real Time: Monitoring Tools Overview & Demo (20)

Ppt4 london - michael rudgyard ( concurrent thinking ) driving efficiencie...
Ppt4   london -  michael rudgyard ( concurrent thinking ) driving efficiencie...Ppt4   london -  michael rudgyard ( concurrent thinking ) driving efficiencie...
Ppt4 london - michael rudgyard ( concurrent thinking ) driving efficiencie...
 
PUE Reconsidered - AFCOM (MI), July 2009
PUE Reconsidered - AFCOM (MI), July 2009PUE Reconsidered - AFCOM (MI), July 2009
PUE Reconsidered - AFCOM (MI), July 2009
 
Executive DCIM
Executive DCIMExecutive DCIM
Executive DCIM
 
Power Usage Effectiveness (PUE): Status & Directions. By K. Winkler
Power  Usage Effectiveness (PUE): Status & Directions. By K. WinklerPower  Usage Effectiveness (PUE): Status & Directions. By K. Winkler
Power Usage Effectiveness (PUE): Status & Directions. By K. Winkler
 
Better Data Center Infrastructure Management
Better Data Center Infrastructure ManagementBetter Data Center Infrastructure Management
Better Data Center Infrastructure Management
 
Virtualization for Power Industry
Virtualization for Power IndustryVirtualization for Power Industry
Virtualization for Power Industry
 
Facility Optimization
Facility OptimizationFacility Optimization
Facility Optimization
 
Squaring the DCIM circle - Guest Blog by Stephen Bowes-Phipps
Squaring the DCIM circle - Guest Blog by Stephen Bowes-PhippsSquaring the DCIM circle - Guest Blog by Stephen Bowes-Phipps
Squaring the DCIM circle - Guest Blog by Stephen Bowes-Phipps
 
ARC's Larry O'Brien Process Automation Presentation @ ARC Industry Forum 2010
ARC's Larry O'Brien Process Automation Presentation @ ARC Industry Forum 2010ARC's Larry O'Brien Process Automation Presentation @ ARC Industry Forum 2010
ARC's Larry O'Brien Process Automation Presentation @ ARC Industry Forum 2010
 
How green standards are changing data center design and operations
How green standards are changing data center design and operationsHow green standards are changing data center design and operations
How green standards are changing data center design and operations
 
An Environmentally Sustainable Data Centre for Smart Cities
An Environmentally Sustainable Data Centre for Smart CitiesAn Environmentally Sustainable Data Centre for Smart Cities
An Environmentally Sustainable Data Centre for Smart Cities
 
Improvements in Data Center Management
Improvements in Data Center ManagementImprovements in Data Center Management
Improvements in Data Center Management
 
jguijarro_Dc4cities_DCDC_Abril15
jguijarro_Dc4cities_DCDC_Abril15jguijarro_Dc4cities_DCDC_Abril15
jguijarro_Dc4cities_DCDC_Abril15
 
Equota Pitch Deck EN 2015
Equota Pitch Deck EN 2015Equota Pitch Deck EN 2015
Equota Pitch Deck EN 2015
 
Fluke Connect Condition Based Maintenance
Fluke Connect Condition Based MaintenanceFluke Connect Condition Based Maintenance
Fluke Connect Condition Based Maintenance
 
Datacenter Strategy, Design, and Build
Datacenter Strategy, Design, and BuildDatacenter Strategy, Design, and Build
Datacenter Strategy, Design, and Build
 
Utilizing Analytics to Drive Change in Buildings - Apem Sept 18 2015
Utilizing Analytics to Drive Change in Buildings - Apem Sept 18 2015Utilizing Analytics to Drive Change in Buildings - Apem Sept 18 2015
Utilizing Analytics to Drive Change in Buildings - Apem Sept 18 2015
 
Cisco Energy Management - Short
Cisco Energy Management - ShortCisco Energy Management - Short
Cisco Energy Management - Short
 
Optimize power and cooling final
Optimize power and cooling finalOptimize power and cooling final
Optimize power and cooling final
 
Optimize power and cooling final 1
Optimize power and cooling final 1Optimize power and cooling final 1
Optimize power and cooling final 1
 

More from 42U Data Center Solutions

What is the Goal of Data Center Racks & Enclosures
What is the Goal of Data Center Racks & EnclosuresWhat is the Goal of Data Center Racks & Enclosures
What is the Goal of Data Center Racks & Enclosures42U Data Center Solutions
 
What is the Goal of High Performance KVM Switch Solutions
What is the Goal of High Performance KVM Switch SolutionsWhat is the Goal of High Performance KVM Switch Solutions
What is the Goal of High Performance KVM Switch Solutions42U Data Center Solutions
 
What is the Goal of Integrated Data Center Solutions
What is the Goal of Integrated Data Center SolutionsWhat is the Goal of Integrated Data Center Solutions
What is the Goal of Integrated Data Center Solutions42U Data Center Solutions
 
What is the Goal of Data Center Airflow Management
What is the Goal of Data Center Airflow ManagementWhat is the Goal of Data Center Airflow Management
What is the Goal of Data Center Airflow Management42U Data Center Solutions
 
UPS Solutions for the Next Generation Data Center with Jen
UPS Solutions for the Next Generation Data Center with JenUPS Solutions for the Next Generation Data Center with Jen
UPS Solutions for the Next Generation Data Center with Jen42U Data Center Solutions
 
KVM Solutions for the Next Generation Data Center with Jen
KVM Solutions for the Next Generation Data Center with JenKVM Solutions for the Next Generation Data Center with Jen
KVM Solutions for the Next Generation Data Center with Jen42U Data Center Solutions
 
High Density Cooling Solutions for the Next Generation Data Center with Jen
High Density Cooling Solutions for the Next Generation Data Center with JenHigh Density Cooling Solutions for the Next Generation Data Center with Jen
High Density Cooling Solutions for the Next Generation Data Center with Jen42U Data Center Solutions
 
DCIM & Monitoring Solutions for the Next Generation Data Center with Jen
DCIM & Monitoring Solutions for the Next Generation Data Center with JenDCIM & Monitoring Solutions for the Next Generation Data Center with Jen
DCIM & Monitoring Solutions for the Next Generation Data Center with Jen42U Data Center Solutions
 
Power & Cooling Solutions for the Next Generation Data Center with Jen
Power & Cooling Solutions for the Next Generation Data Center with JenPower & Cooling Solutions for the Next Generation Data Center with Jen
Power & Cooling Solutions for the Next Generation Data Center with Jen42U Data Center Solutions
 

More from 42U Data Center Solutions (16)

What is the Goal of Server Rack Accessories
What is the Goal of Server Rack AccessoriesWhat is the Goal of Server Rack Accessories
What is the Goal of Server Rack Accessories
 
What is the Goal of Data Center Security
What is the Goal of Data Center SecurityWhat is the Goal of Data Center Security
What is the Goal of Data Center Security
 
What is the Goal of Power Distribution
What is the Goal of Power DistributionWhat is the Goal of Power Distribution
What is the Goal of Power Distribution
 
What is the Goal of Data Center Racks & Enclosures
What is the Goal of Data Center Racks & EnclosuresWhat is the Goal of Data Center Racks & Enclosures
What is the Goal of Data Center Racks & Enclosures
 
What is the Goal of High Performance KVM Switch Solutions
What is the Goal of High Performance KVM Switch SolutionsWhat is the Goal of High Performance KVM Switch Solutions
What is the Goal of High Performance KVM Switch Solutions
 
What is the Goal of Integrated Data Center Solutions
What is the Goal of Integrated Data Center SolutionsWhat is the Goal of Integrated Data Center Solutions
What is the Goal of Integrated Data Center Solutions
 
What is the Goal of Digital Signage
What is the Goal of Digital SignageWhat is the Goal of Digital Signage
What is the Goal of Digital Signage
 
What is the Goal of Data Center Containment
What is the Goal of Data Center ContainmentWhat is the Goal of Data Center Containment
What is the Goal of Data Center Containment
 
What is the Goal of Data Center Cooling
What is the Goal of Data Center CoolingWhat is the Goal of Data Center Cooling
What is the Goal of Data Center Cooling
 
What is the Goal of Data Center Airflow Management
What is the Goal of Data Center Airflow ManagementWhat is the Goal of Data Center Airflow Management
What is the Goal of Data Center Airflow Management
 
What is the Goal of Technical Furniture
What is the Goal of Technical FurnitureWhat is the Goal of Technical Furniture
What is the Goal of Technical Furniture
 
UPS Solutions for the Next Generation Data Center with Jen
UPS Solutions for the Next Generation Data Center with JenUPS Solutions for the Next Generation Data Center with Jen
UPS Solutions for the Next Generation Data Center with Jen
 
KVM Solutions for the Next Generation Data Center with Jen
KVM Solutions for the Next Generation Data Center with JenKVM Solutions for the Next Generation Data Center with Jen
KVM Solutions for the Next Generation Data Center with Jen
 
High Density Cooling Solutions for the Next Generation Data Center with Jen
High Density Cooling Solutions for the Next Generation Data Center with JenHigh Density Cooling Solutions for the Next Generation Data Center with Jen
High Density Cooling Solutions for the Next Generation Data Center with Jen
 
DCIM & Monitoring Solutions for the Next Generation Data Center with Jen
DCIM & Monitoring Solutions for the Next Generation Data Center with JenDCIM & Monitoring Solutions for the Next Generation Data Center with Jen
DCIM & Monitoring Solutions for the Next Generation Data Center with Jen
 
Power & Cooling Solutions for the Next Generation Data Center with Jen
Power & Cooling Solutions for the Next Generation Data Center with JenPower & Cooling Solutions for the Next Generation Data Center with Jen
Power & Cooling Solutions for the Next Generation Data Center with Jen
 

Recently uploaded

UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfUiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfDianaGray10
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationIES VE
 
Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Commit University
 
Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024D Cloud Solutions
 
Empowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintEmpowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintMahmoud Rabie
 
Machine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfMachine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfAijun Zhang
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsSafe Software
 
Building AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptxBuilding AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptxUdaiappa Ramachandran
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024SkyPlanner
 
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...DianaGray10
 
Cybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxCybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxGDSC PJATK
 
Nanopower In Semiconductor Industry.pdf
Nanopower  In Semiconductor Industry.pdfNanopower  In Semiconductor Industry.pdf
Nanopower In Semiconductor Industry.pdfPedro Manuel
 
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IES VE
 
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarAI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarPrecisely
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfDaniel Santiago Silva Capera
 
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesAI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesMd Hossain Ali
 
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online CollaborationCOMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online Collaborationbruanjhuli
 
20230202 - Introduction to tis-py
20230202 - Introduction to tis-py20230202 - Introduction to tis-py
20230202 - Introduction to tis-pyJamie (Taka) Wang
 
Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.YounusS2
 

Recently uploaded (20)

20150722 - AGV
20150722 - AGV20150722 - AGV
20150722 - AGV
 
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdfUiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
UiPath Solutions Management Preview - Northern CA Chapter - March 22.pdf
 
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve DecarbonizationUsing IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
Using IESVE for Loads, Sizing and Heat Pump Modeling to Achieve Decarbonization
 
Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)Crea il tuo assistente AI con lo Stregatto (open source python framework)
Crea il tuo assistente AI con lo Stregatto (open source python framework)
 
Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024Artificial Intelligence & SEO Trends for 2024
Artificial Intelligence & SEO Trends for 2024
 
Empowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership BlueprintEmpowering Africa's Next Generation: The AI Leadership Blueprint
Empowering Africa's Next Generation: The AI Leadership Blueprint
 
Machine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdfMachine Learning Model Validation (Aijun Zhang 2024).pdf
Machine Learning Model Validation (Aijun Zhang 2024).pdf
 
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsIgniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
 
Building AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptxBuilding AI-Driven Apps Using Semantic Kernel.pptx
Building AI-Driven Apps Using Semantic Kernel.pptx
 
Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024Salesforce Miami User Group Event - 1st Quarter 2024
Salesforce Miami User Group Event - 1st Quarter 2024
 
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
Connector Corner: Extending LLM automation use cases with UiPath GenAI connec...
 
Cybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptxCybersecurity Workshop #1.pptx
Cybersecurity Workshop #1.pptx
 
Nanopower In Semiconductor Industry.pdf
Nanopower  In Semiconductor Industry.pdfNanopower  In Semiconductor Industry.pdf
Nanopower In Semiconductor Industry.pdf
 
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
IESVE Software for Florida Code Compliance Using ASHRAE 90.1-2019
 
AI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity WebinarAI You Can Trust - Ensuring Success with Data Integrity Webinar
AI You Can Trust - Ensuring Success with Data Integrity Webinar
 
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdfIaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
IaC & GitOps in a Nutshell - a FridayInANuthshell Episode.pdf
 
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just MinutesAI Fame Rush Review – Virtual Influencer Creation In Just Minutes
AI Fame Rush Review – Virtual Influencer Creation In Just Minutes
 
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online CollaborationCOMPUTER 10: Lesson 7 - File Storage and Online Collaboration
COMPUTER 10: Lesson 7 - File Storage and Online Collaboration
 
20230202 - Introduction to tis-py
20230202 - Introduction to tis-py20230202 - Introduction to tis-py
20230202 - Introduction to tis-py
 
Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.Basic Building Blocks of Internet of Things.
Basic Building Blocks of Internet of Things.
 

The Data Center in Real Time: Monitoring Tools Overview & Demo

  • 1.
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.

Editor's Notes

  1. And today our objective will be to introduce and explain some of the data center measurement solutions in the marketplace. Measurement and monitoring are intriguing topics in the data center arena that are garnering a lot of attention. These tools represent a movement to proactively managing and improving the efficiency and performance of a data center. We are excited to present this to you this afternoon.
  2. Our agenda is rather simple. We will first discuss what’s driving the need for monitoring. We will then take a look at the 2 most common types of monitoring in the data center, the point in time and the real time approach. We will then expound on the virtues of utilizing a real time solution and follow that with a demo of one of the available real time solutions in the market place. As always, we will close with a Q&A session, so without further ado, let’s jump into the presentation…..
  3. Thisslide lists survey results for a group of enterprise data center owners/operators. This poll was released in Spring of 2009. As you can see, when these data center professionals were asked to comment on their concerns, Efficiency and Monitoring were at the top of the list.
  4. This same group is polled twice a year. The results of the 2nd survey note that availability returns to it’s place as the number one concern for data center professionals. In 2009, moving into 2010, data center professionals remain focused on uptime, while trying to balance their availability concerns with efficiency and monitoring mandates.
  5. Sothe questions needs to be asked, why do we need to monitor? I think it is captured best in these 5 bullets. Monitoring addresses the major challenges facing data centers from an overall $$ perspective. The cost of power continues to rise, and more and more facilities are running out of power. There are extreme costs associated with inefficiencies in the data center whether they be conversion losses in the power stream or issues concerning poor cooling strategies and the resultant by-pass airflow. These issues can lead to hotspots and failures and eventually downtime. Monitoring solutions help bridge the gap between IT and facilities, giving both groups the visibility they need to make informed decisions. And obviously monitoring tools assist in keeping SLAs.What is their perceived value?While Downtime is a word no DC Manager wants to hear, the cost and availability of power has become a key issue across the board. Many DC managers are realizing that cost and availability of power goes hand in hand with inefficiencies. The easiest way to remediate these inefficiencies is to control the DC in a holistic manner. As for SLA’s, anyone in our audience can tell you that not meeting your SLA requirements can become very costly to any organization through lost revenue and confidence in the infrastructure. Now we’ll take a look at a couple of monitoring approaches.
  6. We mentioned 2 approaches to monitoring, the point in time and the real time. We will take a look at both approaches, and stack them against each other
  7. One of the most common names for the point in time approach is a sneaker net. The name, while humorous, explains the approach. Basically an engineer is commissioned to investigate the data center and collect data. They are typically looking at critical pieces of infrastructure like the UPS and cooling systems, taking readings off a building management system if there is one in place. This data is usually compiled on a spreadsheet and used to in some very rudimentary calculations. When a 3rd party entity is brought in to provide this type of work a report is generated with results and recommendations to improve efficiency in the data center.What should we be looking at when taking this approach?In order for a walk through assessment to be of value you should really take a look at all aspects of the DC. This includes everything from the raised floor construction, the components of the actual infrastructure from cooling, power and power distribution all the way up to lighting and fire suppression. Once this data is collected you need to format the data into understandable deliverables that an end user can then act upon. Lets take a look at just few key Infrastructure components.
  8. While it does not appear to be a comprehensive, holistic view into the data center, there are some key benefits to taking the sneaker net approach
  9. These assessments are very cost effective and simple to execute with little advanced planning. There is no issue with interrupting operations as it is a non-invasive approach. At the heart of the results, we do have the ability to provide a level of risk mitigation with regular measurement.Below you’ll see a couple of findings from an assessment completed by one of 42U’s engineer’s.Talk to grounding – integrity of the electrical ground scheme, CRAC efficiency and PUE as areas that need to be investigated for remediation. “While great information is gathered in a DC walk through with various measurement tools, it is simply a point in time. It does not take a holistic view and makes it very difficult to consolidate the information into a user friendly process of remediation. Multiple walk throughs must be done to ensure any changes are effective and if any changes have had a negative effect”
  10. Theshortcomings of this approach are obvious. At the top of the list it is simply a snapshot. A sneaker net does not take into consideration the ebbs and flows of a business. We know there are peak processing times that are not accounted for in a simple snapshot. It also requires manpower. In the last year we’ve seen a drastic reduction in available resources. DC Professionals just don’t have the time to take an engineer of a project to do the manual check.There are issues surrounding the various systems in the data center and making them speak the same language.And of course, what do you do with the data? How is it reported, tended, and aggregated? Who owns the process and how often do they do it?
  11. All these questions lead one to ask, is there a better way. Let’s turn our attention to that better way, real time monitoring.http://www.youtube.com/watch?v=45IZbvCyN0c
  12. What you see here is the power of visualization. Monitoring solutions give you the ability to track conditions in the data center that have been elusive in the past. Air flow throughout the entire room as well as humidity. Power consumption from the panel all the way down to the outlet. We can get granular visuals down to the chiller level, watching flow if we need to
  13. What you see here is the power of visualization. Monitoring solutions give you the ability to track conditions in the data center that have been elusive in the past. Air flow throughout the entire room as well as humidity. Power consumption from the panel all the way down to the outlet. We can get granular visuals down to the chiller level, watching flow if we need to
  14. This is where real time monitoring begins to differentiate from the sneaker net. We are now giving you real time information that covers:Availability- And what we are really talking about here is Risk Prevention. Is my data center operating within industry standardsEfficiency- Gives me the data I need to establish a baseline and track my improvements. These improvements = Lower Operational Costs (we can actually save money)And finally Monitoring- which essentially brings availability and efficiency together through the power of Visibility
  15. As you can see from this slide there can be an immense amount of information available depending on manufacturer and models of equipment. What we need to do to take a holistic view is to consolidate this information through wireless, wired, ModBus, BacNet or any other means available and comprise this information into a user friendly, meaningful format.
  16. Here we have an actual screen shot of one of the many live thermal images available to the end user. You can see that we can instantly recognize areas of concern, in this shot it happens to be thermal strata at the tops of the racks or cabinets within this zone. With a simple click of the mouse we can pull up multiple maps and even animate the screen shots over a user defined period of time, which will give the user a live historical visual representation of the activity of a particular map. Now lets take a look at shot of some empirical data and how it relates to the real time monitoring solution for a group of air handlers.
  17. I really like this information for a couple of reasons. You see that we have name plate values for sensible cooling, or the amount of cooling the manufacturer has spec’dthese air handlers. By monitoring the return and supply side of the actual coil we are able measure the Delta T across the coil and thus calculate the overall efficiency of each unit. As you can see from this information these units are running at a very inefficient level. These are prime candidates for some investigation and remediation to not only increase their efficiency but also re-coup a large amount of energy being wasted. Now let’s take a look at an actual Energy node installation.