vmturbo overview july 2015 v7
TRANSCRIPT
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Demand Driven Control For Virtualized & Cloud Environments
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Boston, MA (HQ)
New York, NY
Reading, UK
2009• Founded• Raised Series A
2010/11• Product GA• 100 customers• Raised Series B
2012• 300 customers• 12 consecutive qtrs of record revenues
2013• 100th employee• Released Storage and Fabric Controllers• 14 consecutive qtrs of record revenue growth• Raised Series C
2014• 1200+ Customers• 19 consecutive qtrs of record revenues• 450 employees• Raised $50M Series D
2015• $2M RedHat investment• 19 consecutive qtrs of record revenues
Company Overview
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1,000+ World-Class Customers
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Demand Control Systems Will Always Disrupt
Fixed Cost Supply-Based Industries
Demand Chooses Supply
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Industry Examples:
Airlines, Hotels, Classifieds, Job Boards, Taxi Cabs…
Let Demand Choose its Supply
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Greater Consumer choice Automated booking Minimize mistakes
Less expensive to runOverall yield increases
Scaleable!
Impact Of Demand Control Systems
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% V
irtu
aliz
atio
n
resourceliquiditypool
DEMAND
SUPPLY
Native Hypervisor Schedulers Do Not Manage Application Workload
DemandGAP
Modern Data Center Management Gap
Degraded Application Performance
Labor Costs
Underutilized Infrastructure
Business Impact
Software License Sprawl
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VMTurbo’s Core Concept- Control The Outcome
Assuring Performance WHILE Maximizing Efficiency
Desired State
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Increasing Complexity in the Virtual Datacenter
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10
Characterizing Application Workload Demand
Every Application Workload has unique characteristics
Todays environments have 100’s or 1000’s of Application Workload
Understanding the characteristics of every single application workload that runs in the data center in “N” dimensions is a critical
foundation for managing Demand
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Supply & Demand Matching EngineDemand
Supply
Request Quotes &
Select Best Provider
Request Quotes &
Select Best Provider
Request Quotes &
Select Best Provider
Request Quotes &
Select Best Provider
Request Quotes &
Select Best Provider
Request Quotes &
Select Best Provider
Pricing Resources
Pricing Resources
Pricing Resources
PricingResources
Pricing Resources
SupplyCongestion Based Pricing
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Example from Customer EnvironmentReal Time Control
VMTurbo addresses the GAP in native hypervisor schedulers and Cloud Orchestration systems controlling the environment in real time
so that Application Workload Demand can be satisfied in the most economic way
VMTurbo automated control ensures Application Workloads get
the compute and storage resources they require to operate
reliably while increasing the useable infrastructure capacity
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Beyond Real-Time Control
Jan
AprJul
Oct DEMANDNow
servicing existing workload demand
Reservationscommitted workloads not yet in service
Deploymentwhere to place new workload
Future Projected pipeline of new workloads
Reservation & Initial Placement
Planning For The Future
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Extensibility Beyond the Hypervisor
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Return on Investment
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16
VMTurbo Evaluation
VMTurbo
Deploymen
t
Data Collection & Testin
g
ROI Analy
sis
Business
Impac
tPresentatio
n
2 to 3 weeks of elapsed time + 2 to 3 hours man effort from your organization
Business Impact Assessment