Optimizing IT Monitoring

Slide 2: Controlling Power and Cooling “Creep,” Optimizing Efficiency and Maximizing Availability Through Critical Systems Monitoring Emerson. Consider IT Solved is a trademark and Business-Critical Continuity, Emerson Network Power and the Emerson Network Power logo are trademarks and service marks of Emerson Electric Co. ©2006 Emerson Electric Co.

Slide 3: Emerson Network Power: The global leader in enabling Business-Critical Continuity The promise that our customers’ technology infrastructure and products will always be available… The peace of mind that our customers have that they can concentrate on what they do best… …while we take care of the technology that supports their business.

Slide 4: Emerson Network Power – an organization with established customers

Slide 5: Presentation topics • Emerson Network Power overview • Leveraging Proactive Monitoring to Manage Data Center Growth and Operation, Gregory Ratcliff, Manager, Liebert Monitoring, Emerson Network Power • A National Bank Gains Visibility and Control of Critical Systems, Jeff Oxenreider, Senior Design Engineer, Enterprise Networks, The Huntington National Bank • Question and Answer session

Slide 6: Leveraging Proactive Monitoring to Manage Data Center Growth and Operation Gregory W. Ratcliff Manager, Liebert Monitoring Emerson Network Power

Slide 7: Agenda • Data center concerns and constraints • Today’s prevalent monitoring capabilities and functions • Leading-edge monitoring capabilities – Maximizing availability – Controlling power and cooling “creep” – Optimizing energy efficiency • Monitoring technologies on the horizon

Slide 8: Data center concerns and constraints Top facility/network concerns 20% 40% 60% 0% Heat density (cooling) Power density Availability (uptime) Adequate monitoring Energy efficiency Space constraints/growth Data center consolidation Technology changes/change mgmt. Security (physical or virtual) Data storage Regulatory compliance Other Source: Spring 2008 Data Center Users Group Survey

Slide 9: Data center concerns and constraints Data center issues 0% 10% 20% 30% 50% 40% Experienced hot spots Ran out of power Experienced an outage Experienced a “water event” Ran out of floor space Ran out of cooling N/A- Have not had any issues Other Source: Spring 2008 Data Center Users Group Survey

Slide 10: Data center concerns and constraints Importance of improving energy efficiency 0% 10% 20% 30% 40% 50% Not at all Somewhat important Important Very important Extremely important Source: Spring 2008 Data Center Users Group Survey

Slide 11: Increasing density = Increasing criticality • Companies heightening dependence on data center systems and computer rooms • IT infrastructure evolving into an interdependent business- critical network that includes data, applications, engineering systems, storage and servers • Power failure at any point along the network can impact the entire operation

Slide 12: Today’s prevalent monitoring capabilities • Alarms • Leak detection • Battery monitoring

Slide 13: Today’s prevalent monitoring capabilities • Break-fix – Switch, off-on, open-closed, cold-hot – The state (normally closed, etc.) – Two wires to a term block • Proactive monitoring – Data – Trends – Predictive • Manager of managers SiteScan

Slide 14: Exporting data through XML-SOAP SSWeb SOAP Server XML = Syntax for Trend Data the SOAP queries Sharing Info Applications SOAP = Protocol (Language) that runs over the network wire

Slide 15: Freeing data from PDUs • Loading Excel with onsite real-time data is a one to two minute process with XML/SOAP PDU’s 3-6 to 5-4 are in trouble

Slide 16: Maximizing availability Break-fix, non-performance-based monitoring Up Down Up Down Time Repair React! Repair React! Proactive monitoring Up Down Up Down Time Planned Repair Proactive Action

Slide 17: Leading-edge monitoring capabilities Network-enabled monitoring Monitoring at the outlet level Predictive, performance-based monitoring No Downtime Up Down Up Predict and React! Repair Performance Degradation

Slide 18: Maximizing availability Precision Engine Cooling Generator Bus A UPS Predicted System Availability Cabinet Improved to Surge Utility Power Transfer Suppression Feed A Distribution 99.9995% Switch UPS Module(s) Dual N Redundant +1 Transfer Static UPS Normally Open Tie Load Switch Transfer Switch Bus B UPS Module(s) Utility Surge Transfer Power Feed B Suppression Switch Added Static Distribution UPS Transfer System Switches and Cabinet Redundant Zoned Engine Generator and Distribution Generator Gear Precision Redundant Cooling Power Distribution Redundant Cooling

Slide 19: Monitoring helps to document ROI and increase uptime • Reduced hot spots • No surprises on branches • Staff efficiency • Proactive vs. reactive • Failure prediction • Battery change “on condition” • Planned work vs. rapid response • All resulting in: increased uptime

Slide 20: Enterprise remote monitoring takes a holistic look at critical infrastructure • Recommend monitoring all mission-critical infrastructure equipment in the data center: – UPS – Battery – Cooling – Leak detection – Generator – ATS/STS – PDU/branch circuit

Slide 21: Controlling “creep” • Cooling – Modeling – Adjust cooling to unit set points • Power – Modeling

Slide 22: Optimizing energy efficiency • Manage cooling – Precise control of data center temperature – Hot spots • Comprehensively Manage Power – Voltage – Current – Watts – Temperature – Peak power usage • Use the information – Benchmarks – Results

Slide 23: Energy Logic: Cascade savings strategies

Slide 24: Energy Logic: Energy-saving strategies payback period

Slide 25: Strategy 10: Monitoring and optimization • Use monitoring and optimization tools to improve efficiency • Cooling- share data to team multiple units – Manage compressor load, humidification, dehumidification and cycling • Power- UPS and PDU optimization, management and control Teamwork: None Teamwork: In operation

Slide 26: Monitoring technologies on the horizon • Infrastructure management • Protocol consolidation • Cooling/power correlation • Integration with desktop tools (e.g. Excel)

Slide 27: Summary • Data center concerns and constraints • Today’s prevalent monitoring capabilities and functions • Leading-edge monitoring capabilities – Maximizing availability – Controlling power and cooling “creep” – Optimizing energy efficiency • Monitoring technologies on the horizon

Slide 28: A National Bank Gains Visibility and Control of Critical Systems Jeff Oxenreider Senior Design Engineer Enterprise Networks The Huntington National Bank

Slide 29: Changes and growth cause issues with critical systems • Reactive monitoring evolving into proactive • 420 branch MPLS conversion – New routers, new switches, new UPS’s • A merger is added to the mix – Additional network and server infrastructure – 250 additional branches – Each with the same new setup as updated branches – VOIP implementation is a requirement – MDF hotspots required additional air handling • Technology overload!

Slide 30: Liebert SiteScan in use for over three years • Initially used for event reaction SYSTEM WIDE ALARM ICON Red—Critical alarms need to be acknowledged. Yellow—Non-critical alarms need to be acknowledged. Green—No alarms need to be acknowledged. ALARM COUNTER

Slide 31: Proactive monitoring: Multiple hot spots • IT management observed hot spots and requested additional cooling in one of the server rooms

Slide 32: Freeing data from precision air systems Date -Time vs Stages Linear (Stages) y = 0.0004x + 2.305 2 R = 0.3242 Why does 7 availability change 6 on this day? 5 4 3 ` 2 1 0 1 391 781 117 1 15 6 1 19 5 1 2 3 4 1 2 7 3 1 3 12 1 3 5 11 3 9 0 1 4 2 9 1 4 6 8 1 5 0 7 1 5 4 6 1 5 8 5 1 6 2 4 1 6 6 3 1 7 0 2 1 7 4 11 7 8 0 1 8 19 1 8 5 8 1 8 9 7 1 9 3 6 1 9 7 5 1 -1

Slide 33: Proactive monitoring: Multiple hot spots • Providing additional cooling meant using a “redundant” precision air unit for capacity • An additional unit was purchased to provide redundancy

Slide 34: Information needed: Do we really need to run this third unit? • How many BTUs was the existing precision air conditioning system providing? • What was the cooling load of the IT system? • Were we using the available cooling efficiently?

Slide 35: Exporting data through XML-SOAP SSWeb SOAP Server Trend Data Sharing Info Applications

Slide 36: Liebert SiteScan information answers the question • Step 1: Use Liebert SiteScan to dynamically model IT system heat load – Total kW x 3,412 = Total BTUs • Step 2: Define cooling system capacity – Tons of air/12,000 = BTUs • Step 3: Test and validate model

Slide 37: Liebert SiteScan dynamically models data center

Slide 38: Results: Precision air conditioning system capacity had been sufficient Result: One precision air unit could be turned off if room configuration was optimized.

Slide 39: Situation: Heat wave! Power company called to request power usage be reduced • Incoming utility power monitored by Liebert SiteScan

Slide 40: Liebert SiteScan was used to adjust precision air conditioners • Adjusted precision air conditioning unit set points • Increased temperature by two points during hottest days of the year • Usage fell below “bar” of peak usage on the hottest days • SiteScan paid for itself in energy savings

Slide 41: Liebert Nform installed this year • Installation to live monitoring in an afternoon • SNMP Polling • Alarms • Diagnostics • Trap to e-mail forwarding

Slide 42: Dedicated critical systems management: Interfacing is mandatory • Supporting Manager of Managers and Comprehensive Managers NForm

Slide 43: Simple alarm management • Normal on dashboard • Instant alarm count • Non-responsive on dashboard

Slide 44: Automated diagnostics

Slide 45: Desktop integration

Slide 46: Initial installation found issues! • Three branches without protected power • Traps were “lost” in the noise Device e-mail Diagnostic from Nform

Slide 47: Monitoring traps • One size does not fit all • Binary alarms are not good enough • History is important – Long-term archives – Forensics • Monitoring the wrong things leads to inadequate resolution

Slide 48: Proactive practices • Infrastructure monitoring integrates into network management systems to provide and manage notifications • Event correlation reduces the number of alerts

Slide 49: Summary • Proactive monitoring was integral to improving the ROI of several major infrastructure upgrades • Complex systems make monitoring even more vital • Predictive alerts have helped avoid downtime numerous times

Slide 50: Questions & Answers Gregory Ratcliff, Jeff Oxenreider Manager, Senior Design Engineer, Liebert Monitoring Enterprise Networks The Huntington National Bank Emerson Network Power

Slide 51: Thanks for joining us! • Register for our next Webcast coming July 16: Anticipating Growth: Modular, Scalable Power Protection and Distribution • Visit the Emerson Network Power Multimedia Portal on www.liebert.com under “Support” • For white papers and other content on Critical Systems Monitoring, search for “Monitoring” at www.liebert.com