a #pink14 presentation: optimizing for the #sddc
DESCRIPTION
Today’s infrastructure situation is increasingly becoming virtualized everything (servers, storage, desktops, networks) with clouds growing in importance has given way to the term Software Defined Data Center (SDDC). The SDDC has it’s own challenges. Challenges like whether or not to include legacy or non-virtual resources, interoperability of multiple vendors’ converged infrastructure systems, and the management of SDDC remains a mystery.TRANSCRIPT
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Optimizing theSoftware Defined Data
CenterContinuously operate at the intersection of Business Performance and IT
Efficiency
David Wagner – TeamQuest Advocate
BOOTH #401
Copyright © 2014 TeamQuest Corporation. All Rights Reserved.
• Today’s technology situation: challenges, goals & benefits
– Virtual Everything– Dynamism– Analytics
• Continuous IT Financial Optimization– Challenges and risks of inaction– Desired state and results– Approach: Aligning Business and IT Analytics– Examples/Results
Agenda
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• Virtualization of Servers – maturing
• Virtualization of Storage – ramping rapidly
• Virtualization of Desktops – coming on strong
• Virtualization of Networks – growing
• Cloud(s) growing in importance…
• Increasingly called the Software Defined Data Center (SDDC)
Today’s situation
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Source: Forrsights Hardware Survey, Q3 2009, 2010, 2011, 2012
Virtualization and Cloud
“Which of the following initiatives are likely to be your firm’s/organization’s top hardware/IT infrastructure priorities over the next 12 months?” (Percentage of respondents who answered “critical” or “high” priority)
Use cloud infrastructure-as-a-service (IaaS) at a service provider
Build an internal private cloud operated by IT (not a service provider)
Automate the management of virtualized servers to gain flexibility and resiliency
Maintain or implement broad use of server virtualization as the standard server deployment model
Consolidate IT infrastructure via server consolidation, data center consolidation, or server virtualization
18%
23%
61%
77%
79%
28%
29%
60%
80%
80%
31%
36%
63%
79%
81%
35%
46%
63%
79%
78%
2012 (N=1,036)2011 (N=1,240)2010* (N=1,037)2009* (N=1,020)
Base: North American and European IT decision makers at enterprise firms with 1,000 or more employees
*Question wording in 2009 and 2010 referred to IaaS as “virtual-server-as-a-service”
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Dynamism increasing
Public cloud IaaS
Outsourced service provider
Hosted private cloud IaaS
Traditional hosting offering
On a dynamic private cloud pool of virtual servers
On relatively static virtual servers
On physical servers not virtualized
3%
4%
7%
4%
27%
31%
23%
1%
3%
3%
5%
13%
32%
42%
Today (N=486) In four years (N=476)
“What percentage of your total x86 servers OS instances are in each of the following categories?”
Base: North American and European IT decision makers at enterprise firms using physical x86 servers
In four years, enterprise respondents expect to move about 20% of their
current physical servers into a private or public cloud
Source: Forrsights Hardware Survey, Q3 2012
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The business values analytics…
Improve the use of data analytics to improve business decision making
19% 40%
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• Inclusion of legacy or non-virtualized hardware resources?
• Interoperability of multiple vendors’ converged infrastructure systems?
• Management remains a mystery– Lack of real time data– Lack of global optimization strategies
Forrester content
Challenges and Obstacles
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SDDC• Asset Management• Smart Devices• Virtualized Storage• Virtualized Servers• Virtualized NW• VDI• Etc….
Customer• Call Center Operations• POS Optimization• Demand Response• Campaign Management• Credit & Collections• Billing• Etc….
Busi
ness
Ser
vice
s/Ap
plic
ation
s
Cloud, Virtualization and SDDC -> Changing Demands on
Enterprise IT
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Increasing Planning and Optimization Challenges
Busi
ness
Ser
vice
s/Ap
plic
ation
s
SDDC• Asset Management• Smart Devices• Virtualized Storage• Virtualized Servers• Virtualized NW• VDI• Etc….
Customer• Call Center Operations• POS Optimization• Demand Response• Campaign Management• Credit & Collections• Billing• Etc….
Copyright © 2014 TeamQuest Corporation. All Rights Reserved.
• SDDC management will place a premium on new management models
– Real time data collections– Embedded Analytics– Ability to span multiple data source domains
intelligently
• Analytics will have different goals – efficiency, cost, root cause analysis
• Goals include workload-centric optimization, global cost and energy efficiency, global availability … very tough challenges for traditional management vendors
Source: Forrester Research, September 2013
Management is WAY more
than monitoring
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• Existing tools don’t accept it– ETL into acceptable format(s) is a lot of work, cost– Manual efforts cannot scale– Don’t adapt to dynamic, virtual everything realities
• IT has no expertise in business data– It isn’t easily presented or understood– We’ve never had the time to deal with it
• What can we really DO with it?– Where do we start?– What is the value?
“IT doesn’t analyze business data because…”
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• Lack of understanding of relationship of dynamic technology to services
– Over and under provisioning – High Costs– Service risks– Market risks
• Too many disparate tools and processes– Expensive and in silos– Error prone impacting service delivery
• Vendor dependence and “lock in”– High costs– Reduced agility
Negative consequences of the current state
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Base: 1048 IT hardware decision makers at enterprises in North America and Europe
Source: Forrsights Hardware Survey, Q3 2012
Desired State: Fully Leverage
Commoditization
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• Continuously financially optimized IT environment
– Always know where and when performance problems will affect the bottom line
– Identify cost and performance inefficiencies in support of business processes and eliminate them
• Continuously optimized customer experience
– Understand when, where and why customer experiences fail
– Resolve, predict and prevent customer dissatisfaction issues
Desired state: Continuous Optimization
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“What is the health of the
infrastructure?”
“How efficiently are we using the infrastructure? What does it
cost?”
“How many of those do we have? Need?
When?”
“Changes compared to the
last reporting period?”
“What’s the capacity
forecast? What should/will it
cost?”
“What were the exceptions? Do
we Care?”
“What’s the risk
assessment?”
Desired State: Answer the Questions!
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• Significantly Reduce initial CapEx, and ongoing OpEx– Make, and keep making, more money!
• Optimize resources for systems of customer engagement
• Deploy and refresh new applications faster– E.g Retailers need to capture their share of mobile
commerce as it grows from $6 to $31b (2016)
• Respond faster to business spikes
• Prevent business impacting outages and slowdowns
Result: Continuous IT Optimization
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Underlying IT
Infrastructure
Outage Manageme
nt
Customer Operations
Distribution Automation
Asset Manageme
nt
17
Services
Applications
Server/OS
Big Data Collection
Business Intelligence
Aligned Business and IT Intelligence
Enterprise IT Optimization
• Correlate business & IT performance
• Insight into how business process changes impact IT
• Understand and optimize IT costs by business unit/process and technology
• Insight into business performance across technology stack
Network
Storage
Methodology: Aligned Business and IT
Analytics
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• Analyze - optimize decision making
• Integrate - with the business
• Automate – drive efficiency and repeatability
Automated, Aligned IT Analytics
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• Federates existing data into purpose-designed optimization process
– Technology data (e.g. server, network, storage, etc.)
– Service data (catalog, metrics, tickets, etc.)– Financial data– Business data (Analytics, KPIs, plans, TXNs,
etc.)
• Automates analytics across all data sources
– Flexible and adaptive to dynamic SDDC environments
– Raw (commodity) data -> actionable information for IT
• Single-pane-of-glass IT Optimization
Federated IT Analytics
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20
Automated, Predictive Analytics
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• Continuous Optimization
– Pre-purchase validation– Re-purposing– Consolidation
• Fully Automated, low cost
• Integrate with Risk and Service Management
• Changed new VMwareClusters from every 6 weeks to:
– None for 18+ months…– Consolidated 1000’s of
VM’s (Saving $M)
Result: Automated Financial
Optimization
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• Proactive Power Optimization
– Actual versus DC Limits– Power by Application/Service– Project Savings via
optimization efforts
• Data Sources– Server/Virtual Server
performance– Power Consumption from
DCIM power management– Service Catalog and CMDB– Asset Database
Result: IT Power Capacity Optimization
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• Service Level RCA– Measured versus SLA– Span Servers, Virtual
Servers, Network, Storage, etc
• Data Sources– TeamQuest CMIS (VMware)– TeamQuest CMIS for
Storage– Application RT tools– Service Catalog and CMDB
Result: Automated Root Cause
Analytics
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• Automatically Balance– Current and Future Costs– Performance– Capacity
• Data Sources– Server/Virtual Server
performance– Asset Costing (CapEx/OpEx)– Service Catalog and CMDB– Power Costing Database
Result: Financial Optimization Reports
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• Continuous IT Optimization– Peak IT Performance– Ideal Resource Capacity– Optimized Resource Costs
• Automated IT Analytics– Predictive– Federated
• Aligned IT and Business Management– Performance– Capacity– Financial
Result: IT Optimized... Future Assured
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“I know the performance
and costs of my infrastructure!”
“I know how efficient my IT environment is and can be and what it will cost”
“I know what we have, what we need, and when we need
it!”
“I know what has changed and why from
the last period!”
“I have a Capacity and
Financial Plan!”
“I understand the exceptions
and their importance!”
“I know what my risks to
performance are and will
be!”
TeamQuest: Insight Automated. Optimization
Achieved
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• Fortune 200 Financial Services Provider– Saved $7Million in first year– Saved $15 Million in second year, significant power cost
reduction– Eliminated new server spend for 24 months, all new projects
continued
• Top 5 US Financial Services Provider– 70% of ALL operational analysis automatically delivered in
exception-oriented, human readable fashion – 95% reduced staff time per analysis 4x more staff
productivity– Avoided purchase of 100’s of physical servers,
simultaneously virtualizing thousands of servers in 2013 alone, saving $Millions
• Leading Banks, Telecoms, Retailers, and many more…– Bank of America, Barclays, gkv Informatik, HSBC, Safeway, T-
Systems, Telefonica, Vodafone, Verizon, Visa, Wells Fargo, …
Real Customers, Real Results
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28
• Inventory IT processes and ALL your tools– Data collection?– Data storage?– Capacity Analysis/Reporting?
• Inventory your business KPIs, factor your BI analytic initiatives
• Identify “low hanging fruit”– By Service?– By BU?– By Platform?– By Technology/silo?
• Get started bringing it together, don’t wait
Summary and Recommended Steps