Predictive Resilience: Leveraging Integrated DCIM to Reduce Data Center Downtime

Transcription

1 July 17, 2013 Predictive Resilience: Leveraging Integrated DCIM to Reduce Data Center Downtime siemens.com/answers

2 Predictive Resilience Table of content What is DCIM & Its Business Value Extract Maximum Benefits of DCIM What is HP CMC (Converged Management Consulting) utilizing i CMF (Converged Management Framework) Predictive Infrastructure from IT to DC DCIM Solution Elements for Predictive Resilience Collaboration Real-Time Monitoring / Trending Mobility and 4D Dashboards Alarm & Notification Environmental Monitoring & CFD HP & Siemens for Predictive Resilience Q&A Session Page 2

3 What is Predictive Resilience? Predictive Resilience = Predictive Modeling for Maximum Uptime Remain Resilient in Rapidly Changing DC Move from Reactive to Pro-Active Have the Right Data, at the Right Time for the Right People to Make Faster & Smarter Decision Daily Traffic Fluctuation in one Datacenter The Datacenter as a Computer By Luiz André Barroso and Urs Hölzle Page 3

4 What is Datacenter Infrastructure Management (DCIM)? 2013 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner is a registered trademark of Gartner, Inc. or its affiliates. For more information, info@gartner.com or visit gartner.com. Used with permission. Data center infrastructure management (DCIM) software tools monitor, measure, manage and/or control data center performance, utilization and energy consumption Ideally, DCIM provides this functionality for all IT-related equipment (such as servers, storage and network switches) and infrastructure components (such as PDUs and CRACs). DCIM enables IT professionals to understand energy consumption from a holistic data center perspective DCIM tools integrate facets of system management with building management and energy management, with a focus on IT assets and the physical infrastructure needed to support them Source: Courtesy of Gartner Page 4

5 IT and Facilities moving on separate operational paths IT Information Explosion IT Complexity Cloud Converged infrastructure Virtualization High density Security and Continuity Unified Communications Business Economy Competition Growth Strategy Globalization M&A IoT Operations Cost vs. Performance Integrated Capabilities Single Version of the Truth Single Pane of Glass Integrated DCIM Facilities/ Real Estate Custom vs. Industrial First cost vs. TCO Power and Cooling Location Aging Facilities Regulations Flexibility Page 5

6 Where Does the Business Value Come From? Integrated DCIM Functional ROI Model Business Intelligence Project Planning & What-If Scenarios Increased Agility Increased Clarity Infrastructure Management & Workflow Management Asset Lifecycle Tracking Optimized Asset Usage Reduced Search Time & Troubleshooting Time DCIM Maintenance Management Increased dasset Lifetime Increased Asset Performance Real-Time Monitoring Page 6 Trending & Capacity Planning Alarm & Notifications Increased Visibility with Real-Time Data Increased Uptime with Enough Lead Time Increased Uptime by Lowering Manual Errors Increased Uptime by Being Pro-Active Faster Recovery by Notifying the Right Person

7 What is HP CMC (Converged Mgmt. Consulting) and CMF (Converged Mgmt. Framework) CMC Services bridging the operations gap between IT and Facilities Providing integrated DCIM with ITSM tools Providing single version of the truth in operational data Asset Management CMDB Increased provisioning response time through tools optimization Single pane of glass strategy Alerts Control Trend analysis Data collection Monitoring and dashboard d Modeling Inventory and discovery Maintenance and change control CMF Converged Management Framework High level classification of clients provisioning process, business goals and organization referencing a operational tools system architecture to map a converged management solution Network capacity modeling Workload modeling IT Management tool integration Actual power planning and capacity Page 7

8 A holistic data center operations view utilizing DCIM Converged Management IT Infrastructure Management + Facilities Management + Service Management Digital Service Supply Chain Facilities Management Service Management Servers Storage Networking Application Infrastructure Management Business Services Page 8

9 Datacenter Clarity LC Software Solution Overview Infrastructure life cycle management Real-time monitoring, alarm and event notification Collaboration and process management Power Management Environmental & Cooling Management Key performance indicator dashboard Computational Fluid Dynamics (CFD) Open interface and protocol support Rack Cooling Index (RCI) is a Registered Trademark and Return Temperature Index (RTI) is a Trademark of ANCIS Incorporated ( All rights reserved. Used under authorization. The following are trademarks of The Green Grid Association: PUE, DCiE, CUE, WUE Page 9

10 Collaboration is Key to Avoid Downtime Manage your Data Center IT and Facility Processes Less execution risk Lower execution cost No hand-off wasted time Documented executions Management traceability Less risk of degraded service Starting a new datacenter Enforce best practice or standards such as SAS 70, SSAE 16, SOC 2 and SOC 3 Execute a shut-down of equipment Defect correction process New IT asset addition process Enforce COBIT or ITIL processes Page 10

11 Visualization is Key to Avoid Downtime Real-time Monitoring & Business Data on top of 3D 4D Dashboards Import / export of model information in universal format (Spreadsheet, html, etc.) Rack / server visual reporting Cooling, power, physical U-space Real-time monitoring in 4D Cost, client, license expiry, age, etc. Intelligent attributes / tags Our brain can digest far more information when spatially distributed in 3D 4D Dashboard Spreadsheet-based information is difficult to digest Page 11

12 Mobility is Key to Avoid Downtime Access Asset Data to Make the Right Decision Smarter decisions, anywhere, anytime Easy-to-use, secure, reliable mobile experience Improve productivity with workforce mobilization Page 12

13 Power Line Asset Relationship & Trending Data is Key to Avoid Downtime Real-time Data & Up/Down Relationships Electrical Connections Power Monitoring and Trending Detailed Device Dashboard Troubleshooting and Planning Real time Power Data with Thresholds Detailed Device Dashboard Page 13

14 Alarm on Real-Time Data is Key to Avoid Downtime Notification Sent to the Right Person is Also Key A viewer that allows the user to visualize alarms in a 3D view and a table view Page 14

15 Thermal Management is Key to Avoid Downtime Temperature Sensors & Trending Real-time Temperature Maps Monitored Temperature & Humidity Sensors Temperature Sensors Detailed Temperature Trending Page 15

16 One Way to Predict and Prevent is to Simulate A look at the datacenter supply chain Extensive CFD simulation and detailed design Designed by best practice and some CFD Best practice concepts and organic growth High ROI if done right: Lifecycle- Enabled CFD with Datacenter Clarity LC is key to the solution Virtual model of a datacenter 10W 140W+ 350W 1280W+ 4kW 30kW+ 150kW 25MW+ Predictive Energy Efficiency Page 16

17 Avoid Downtime & Save Energy Case Study on How Simulation Can Help Case study Initial set point temperature = 20 C (68 F) Final set point temperature = 24 C (75.2 F) Max air temperature = 38 C (100.4 F) 12% energy savings Temperature uniformity = Higher efficiency = Saving $$$$$ Cutting plane raised 1,500 mm from the room bottom Page 17

18 Considerations for DCIM Gradual Deployment Establishing an accurate asset inventory Developing an accurate baseline using current state and utilization Monitor and alarm in real-time using previous asset behavior knowledge Data is often: Know what, when and how Know what and when to alarm, Decentralized long to monitor and whom should act on Incomplete Know what is the ideal warnings or alarms probing frequency Move from reactive Inaccurate Leverage Siemens and HP's state of affairs to prevention Leverage your stakeholders! Experienced DCIM and control Commissioning Agents Manage the baseline! STEP 1 STEP 2 STEP 3 Page 18

19 Example of Predictive Resilience Landing on Mars is one of the hardest jobs on Earth. On August 5, the Mars rover Curiosity landed successfully on the surface of Mars. There was only one chance to get it right. For this unprecedented challenge, NASA employed Siemens PLM software solutions. The development team at NASA's Jet Propulsion Laboratory digitally designed, tested, assembled, and simulated the entire Mars rover before a single physical prototype was created..and all from a mission control data center consolidated by HP. Page 19

20 Integrated DCIM Summary of Benefits Risk Mitigation Single Pane of Glass & Single Source of Data Design, Management & Optimization i of Holistic Datacenter Cost AwarenessOperations Energy Usage & IT + Facility Cost For Higher Energy Efficiency "A Single Version of Operational Data" Optimal Infrastructure Utilization 4D Reporting = No Stranded Capacity Save Time : Optimized Operational Tools & Process Efficiency = Faster, Smarter Decisions Page 20

21 Datacenter Clarity LC + CMC The right data at the right time for better decisions Page 21