Instant-On Enterprise Through
Instant-On Enterprise Through
Data Center Infrastructure
Management (DCIM)
Omar N. Elissa, PE
Practice Principal, Critical Facilities Services
Practice Principal, Critical Facilities Services
Hewlett Packard
HP Instant-On Enterprise Business Solutions
1. Application Transformation 2. Converged infrastructure 4. Enterprise Security 5. HP Hybrid Delivery 1 Business 2 3 4Intelligence Compliance Automation Continuity
3. Information Optimization 6. Cloud Computing
Intelligence
Real-time insight into data Instant audit reports for Automate paper-based Reduce downtime and internal regulatory
requirements
processes and lights-out operation
Common pain points in data center
management
management
•
Unable to
locate assets
U
bl
k
h t i
t d t
•
Unable to
know what is connected to
what
(manage relationships and
dependencies )
•
Unable to
find available resources
(rack
space, power, cooling, network, IP, etc)
•
Unable to do accurate
Unable to do accurate
capacity planning
capacity planning
•
Unable to
manage change
and enforce
best practices and processes
U
bl
l
i h
i
l
d
•
Unable to comply with
internal and
external regulatory audits
3
What does an Enterprise Data Center
look like?
look like?
Facilities Networking Systems
D
omains
Raised Floor, UPS, PDU/RPP, Rack
PDU
Mainframe, Servers, VMs, Structured Cabling,
LAN, SAN, WAN
D PDUs CRACs, Probes , , Storage, Apps Asset Tracking: Spreadsheets, Homegrown DBs
Floor Plan: AutoCAD,
Cable/Net Tracking:
Spreadsheets, Homegrown DBs
Configuration: CiscoWorks,
Asset Tracking: Spreadsheets,
Homegrown DBs
CMDB:
HP BTO, BMC Remedy, etc. Visio
Monitoring: Sitescan,
Foreseer, Raritan, etc.
etc. Monitoring: HP OpenView, IBM Tivoli Monitoring: HP Insight Manager, IBM Director Tools 4
How is the DC Ops Model evolving?
Data Center Operations
Domains
Executing Work Orders Racking and Stacking
o
mains
Power Rack Connectivity Fiber and Copper Cable Patching
o
ls UPS, PDU/RPP, Rack Raised Floor, Structured Cabling, Servers, VMs,Mainframe,
D
o
To
o
Facilities Networking Systems
PDUs CRACs, Probes
, , Storage, Apps LAN, SAN, WAN
Manual Processes
• Labor-intensive Sl ti i Add New Rack Space • Slow, time-consuming • Unreliable• Prone to conflict and errors
Device
Dispatch
Cable Patch
• Prone to conflict and errors Dispatch Personnel to DC Panels Network / SAN SAN Switches Query Available Resources IP Address Increased Costs Sl SLA P IP Address Space P Slow SLAs Power Sockets + Capacity Problematic Power Sockets + Capacity
So what is the solution?
Data Center
Data Center
Infrastructure
Management
(DCIM)
The need for a bridge between
IT and Facilities
What is a DCIM System?
• Beyond asset Manage physical and logical relationships
tracking that interconnect assets
• A holistic approach Enable collaboration and workflow across all data center domains
• A single pane of Manage configurations of all facilities, network and
glass systems assets and resources
• A single repository One database to house all data from across all data
• A single repository One database to house all data from across all data centers and sites
• Process-driven A change management system by which you can
provision new systems and all their related physical and logical resources
A DCIM t b th t th h hi h
A DCIM system becomes the gate through which you will enter the data center
Provisioning through change management
•
Process-driven provisioning
•
Capacity-based provisioning
•
Work orders
•
E-mail notifications
Information optimization & energy
efficiency
efficiency
Energy IT Load and Energy Supply Optimization Energy EfficiencyLayer 4: Energy Efficiency
CFD Analysis Informed
Decision
Layer 4: Energy Efficiency Intelligence + Automation
Pwr Outlet Auto-Discovery Energy Calc, Derated Pwr Calc Predictive Asset Placement Trending Visualization Floor Map, Rack Layout, Front/Rear Rack El i Processing and Visualization Correlation Engine Pwr + CPU Utilization, Server + Net Ports
Service Management
Change Management, Provisioning, SLAs Capacity Planning
A d C A i
Layer 3: Intelligent Management
Elevations Environment + Space CRACs Probes Network Switches, Routers, E h /IP SAN
Layer 1b: Dynamic Data Collection
Data Collection
Power Management
UPS, PDU/RPP, Busways, O l
Asset and Contract Accounting
Servers + Applications
Rackable, Blade, Mainframe,
Layer 2: Operational Management
CRACs, Probes, Cabinets/Racks Floor Grid, Tiles Ethernet/IP, SAN
Structured Cabling
Layer 1a: Static Collection: SNMP Auto-Discovery, Spreadsheet Import Outlets,
Rack PDUs VM, Appliances, Storage
Use Case 1: Provision new device
Find available resources
i kl
d i
ll
quickly and visually
•
Rack space
•
Power
•
Network
Use Case 2: Trace power and network
circuits
circuits
•
Model physical and
logical relationships
g
p
quickly and visually
M
d
d
i
•
Map dependencies
between granular
infrastructure elements
such as network ports
and circuit breakers to
severs applications
severs, applications,
and business users.
Use Case 3: Manage complete power chain
•
Easily Differentiate
between nameplate,
budgeted (reserved), and
real-time power
consumption
•
Never overload the power
chain
by proactively
i
reserving
power
resources
K
ll 3 h
•
Keep all 3 phases
balanced to reduce power
losses and
increase
tili ti
Use Case 4: Real-time porting
Monitor power
cons mption in real
consumption in
real-time at the device level
• Eliminate “ghost” servers • Refresh energy inefficient
servers
T t f
• Target servers for virtualization
The case for return on investment
•
Automate
manual
processes
p
•
Reduce
provisioning cycles
•
Reduce
number of hands
•
Increase
provisioning
accuracy
ROI case profile
• Data center size: 100 cabinets
• Average weekly change 3
• Man-hour loaded cost $100/hr.
How does it all add up? The ROI case
Staff-hours
Effort for Typical Change Before After Savings
Change Request 0 50 0 50 0 00 Change Request 0.50 0.50 0.00 Server Configuration Definition 2.00 1.00 1.00 Determine Availability of Physical Resources
- Rack 0.50 0.10 0.40
- Power 0.50 0.10 0.40
- Cooling 0.50 0.10 0.40
- Cabling 0.50 0.10 0.40
- Network 0.50 0.10 0.40
Install Server and Connections 2.00 2.00 0.00 20% Re-work (due to inaccurate documentation) 0.40 0.00 0.40 Project Management 3.00 1.00 2.00 Coordination Meetings 2.00 0.00 2.00
Other 0.00 0.00 0.00
How does it all add up? The ROI case
Savings per 1 Typical Change
Total Hourly Staff Savings per Typical Change 7.40 Average Hourly Staff Cost $100
7.40
Average Hourly Staff Cost $100 Savings per Change $740
% Savings 60% 60%
Savings based on Change Frequency Changes Savings
- Weekly Changes 3.00 $2,220 - Monthly ChangesMonthly Changes 13.0013.00 $9,620$9,620 - Annual Changes
156.0
0 $115,440
$115,440
ROI Calculations
Data Center Size (cabinets) 100 Software, Maintenance + Implementation $84,000 Annual Savings $115,440
Payback Period (in years) 0.73
DCIM Implementation
“Implementing a DCIM tool is not for the faint
of heart, and failure to understand every
t f th
ft
d h t’
i d t
aspect of the software and what’s required to
make a successful implementation will set
f
p
anyone up for complete failure.”
DCIM User / Data Center Manager
Implementation begins with…
Th Ri ht T The Right Team • HP Critical Facilities Services • DCIM trained & certified • Successful engagements
The Right Tools
HP works with leading DCIM
• HP works with leading DCIM
providers
• Easy to Implement • Easy to Use
DCIM implementation types
Existing Data Centers • Compile existing records • Survey data center • Audit
• Design intelligent
monitoring system
• Import into DCIM database
Fork in the road
New Data Centers • Model new data center • Model new data center
infrastructure in DCIM
• Use DCIM to manage
migration and DC move-in process
DCIM implementation process
Planning Data Collection Populate Test & Verify Best Practices Education& Training Commence Operations 1 2 3 4 5 6 7 Define scope, schedule & budgetDefine goals & functions
Define target data & sources
System build and population
Executive Stakeholders Change process Operating Executive sponsorship Stakeholders buy-in g p during implementation Operating procedures
DCIM implementation pitfalls
Lack of
commitment Validity of data challengesSurvey Pitfalls
Lack of resources Lack of
discipline
Too much, too soon Lack of goals or
Success Story – Major Securities Exchange
Problem
Solution
Benefits
• Two (2) state-of-the-art data centers
• HP Critical Facilities (CFS) designs data centers
• Single pane of glass access to data center infrastructure • No on-site full-time staff • Anticipates extensive centers • CFS implements DCIM solution • Simplified and accelerated provisioning process t c pates e te s e
moves, adds, and changes
• Import design
documents and link to AutoCAD floor plans in DCIM • Reduce costs • Payback = 20% of DC staff cost plans in DCIM
Success Story – Major Cruise Line Operator
Problem
Solution
Benefits
• Data center has very outdated
d t ti
• HP Critical Facilities (CFS) implements end-to-end solution
• Single pane of glass access to data center infrastructure
documentation
• Provisioning of new systems is time
• Extensive data center audit and surveys
• Compile survey results
infrastructure • Simplified and accelerated i i i consuming and prone to errors p y into spreadsheets
• Data entry and import into DCIM
provisioning process • Reduce costs
Success Story – Major Financial Company
Problem
Solution
Benefits
• Two (2) state-of-the-art data centers
• Utilize design documents for data gathering and implementation
• Single pane of glass access to data center i f
• 80% Lights-out facilities
• Need for a capacity
p • HP Critical Facilities (CFS) implements end-to-end solution infrastructure • Simplified and accelerated • Need for a capacity
planning tool • Import design documents and link to AutoCAD floor
plans
provisioning process • Reduced costs
Success Story – HP Cloud Services
Problem
Solution
Benefits
• Recent data center with good
documentation
• HP Critical Facilities (CFS) implements end-to-end solution
• Single pane of glass access to data center infrastructure
documentation • Documentation is
maintained manually
• Extensive data center audit and surveys
• Compile survey results
• React to new requests and changes more rapidly
• Improve documentation
• Rapid growth leading to reduced
documentation
p y
into spreadsheets • Utilize existing data in
spreadsheets
Improve documentation accuracy
• Improve customer service
accuracy • Data entry and import into DCIM
Instant-On Enterprise:
Information Optimization
Information Optimization
Applied to data center and Facilities
1 Business 2 3 4
Intelligence Compliance Automation Continuity
Real-time insight into data Instant audit reports for internal regulatory
i t
Automate paper-based processes and lights-out
ti
Reduce downtime and improve service