VMTurbo OverviewIntelligent Workload Management for Cloud and Virtualized Infrastructures

• Founded in 2009

• VMTurbo Operations Manager launched in September 2010

• An award-winning Intelligent Workload Management solution

• 8,000+ users; 160+ customers worldwide

• Growing Channel Ecosystem

VMTurbo Overview

Our Focus: Rethink the Approach to IT Operations Management

Capacity Management:Determining how much capacity to

configure today, as the environment grows, and during hardware refresh cycles

3

Virtualization Introduces Broad Set of Management Decisions

To be effective, these decisions must be made holistically

VMVMVMVMVMVM

VM and Application Sizing: Determining the number of instances, resource allocations, and appropriate

prioritization to meet business demands

1

VM

Initial and Ongoing Placement Decisions:Determining where workloads should run – or be relocated to –across the available compute, storage and network resources

2

• Multiple layers

• Multiple entities in each layer

• Dozens of controls for each entity

• Thousands of control points

• Interdependencies galore

• An overflow of metrics across the board

And the Number of Control Points Increases Exponentially

4

VM VM

Hypervisor

Learn

Rethinking the Approach to IT Operations Management

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Collect Threshold

Predict

Suppress & Correlate

Alert

Stop Collecting – Start Controlling

Stop Alerting – Start Preventing

Iterative Advancements in the “State of the Art”

A Smarter Way: Intelligent Workload Management

• Changes the way virtualized data centers are controlled

• Provides a closed loop system that automates the decision-making process

• Focuses on 2 key business requirements

Assuring Application Performance

Efficiently utilizing the underlying

infrastructure

Intelligent Workload Management is About Maintaining the Optimal Operating Zone

QoS Guarantee

…Requires constant tuning & optimization

Del

ay

100%0% Utilization

ms

Optimal Operating Zone

Doing this in a virtual environment with• Workload fluctuations• Shared resources• Interdependencies • Configuration changes• New applications,

users and hardwareAssuring Application Performance

Efficiently utilizing the

virtualized infrastructure

Economic Scheduling Engine

Market-based Approach:• Abstraction representing the IT infrastructure as a marketplace

• Applications & physical resources depicted as buyers & sellers

Combined with Analytics:• Driving intelligent decision-making for resource allocation• Rapidly adjusting to changes in workload demand & capacity

How Is VMTurbo Different?

Result: Executable Actions Which Prevent Problems and Drive a Healthy & Efficient Infrastructure

What VMTurbo Operations Manager Does

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Control SimulateDiscover Converge

• Virtual appliance installs in minutes

• Single instance manages vSphere, XenServer, Hyper-V

• No “self-learning” & no new databases

• Immediately delivers actionable recommendations

• Drives the environment to healthy state

• Assures QoS and maximizes efficiency

• Continuously profiles and tunes environment

• Automates resource allocation and placement decisions

• Addresses contention before problems occur

• Models the effect of changes to the environment

• Projects future demand based on trends

• Delivers plans to accommodate growth

VMTurbo Operations Manager

IT Automation & Control

Abstraction, Analysis & Automated Actions

Intelligent Workload Management Delivers IT Automation & Control

• Service & application assurance

• Operational & labor efficiency

• Improved resource utilization

• Simplified virtualization management

Economic

Scheduling

Engine

Service Level Priorities

Performance Metrics

ComputeResource Capacity

Configuration Constraints

Real TimeOperations

Intelligent Planning

VM Configurations

Application Sizing

Storage Resourcing

Server Refresh Planning

VM Placement

VM Relocation

Application Resourcing

Key Benefits

Server Packing

…

Close the Loop• Stop collecting & alerting – Start preventing &

controlling

Improve Efficiency• Increase utilization through iterative planning &

capacity management

Simplify & unify virtualization management

A Smarter Way to Control Your Virtualized Data Center

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Take the Challenge• Minutes to value – Free – www.vmturbo.com/download

Competitive Comparison

Comparing Approaches to Operations Management

Attribute Competitive Approach VMTurbo Approach

Automation &

Control

Inbound alert mechanisms require administrators to

interpret data, determine fix, and then enact

remediation

Closed-loop control system that continuously

identifies areas of congestion and automatically

applies the proper action to remediate

Problem HandlingThreshold-driven, alert-triggered approach to problem

avoidance

Prevents problems by continuously tuning the

environment to maintain health and avoid

bottlenecks

GranularityCoarse-grained, aggregate metrics taken in as small as 5-

minute chunks

Real-time metrics drive pricing algorithm for

immediate response to escalating contention

Placement

Decisions

Based on available “first fit” decision by VM

configuration and do not take other factors into

consideration

Holistically assess the entire environment to

determine the most optimized configuration

inclusive of the incoming workload

Planning

Methodology

Capacity-driven analysis based on workload

configuration

Performance-driven analysis based on workload

characteristics and holistic view of entire system

Comparing Approaches to Operations Management (2)

Attribute Competitive Approach VMTurbo Approach

Platform SupportClosed system for hypervisor vendors;

3rd-party vendors require separate appliances

Unified virtualization management, including

vSphere, XenServer, Hyper-V, CloudStack, vCloud

Director – all from a single appliance

ArchitectureAssembled technologies with multiple databases and

user interface overlays

Purpose-built system designed to control the virtual

environment with market analytics in an automated

fashion

Time-to-valueRequires time to collect metrics and “learn” behaviors

before delivering data for analysis

Provides actionable, intelligent control within

minutes of deployment – converges environment to

healthy state, and maintains it there

Licensing ModelPer-VM license packs create density-tax and make

budgeting complicated, costs range over $2k/host

Per-socket licensing provides lower ongoing costs

and more certainty in budgeting, costs ~$1k/host

TCO

Drill-down analysis requires high-cost, experienced

admins; resource intensive troubleshooting and SLA

exposure not resolved

Automated decisions and preventive measures

eliminate “fire drills,” reduce operator overhead, and

assure application performance

Mediation Layer

vCloudDirector

Platform Approach to Intelligent Control Across the Data Center

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Abstraction Layer – The Market

Analytic Layer – Economic Scheduling Engine

Automation & Presentation Layer

Prevent Detect Resolve Control Plan Optimize Alert Report

vSphereXenServer

Hyper-VCloudStack

App Delivery Controllers

Compute Storage

Economic Scheduling Engine – A Market Approach

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VM VM

Hypervisor

VM

BuyersSellersBuyers

SellersBuyers

SellersBuyers

SellersBuyersSellers

Commodities Market – Trading Compute Resources

Abstraction

Economic Scheduling Engine – Analytics Driven by Pricing

QoS Guarantee

Del

ay

100%0% Utilization

ms

Pri

ce

100%0% Utilization

Abstracts

Application Workload in

a VM

VM Resource

Utilization

VM Resource

Utilization

Assure Application QoS: Right-sizing a Virtual Machine

VM Prices VM ROI >> 0 [ROI = Rev. – Exp.]

VM Prices

VM

Hypervisor

VM VM VM VM

• Preventing performance issues related to workload delays or outages

• Remediating building contention – maintaining/improving “health”

• Reducing the risk of production outages

• Improve utilization and intelligently plan for VM growth

• Increase VM density – reduce cost

• Plan accurately for new projects, organic growth and hardware refresh

• Reduce CAPEX on servers & associated software

• Improve the efficiency of operational resources

• Drive automation and control across the environment – better admin/server ratios

• Reduce trouble-tickets and OPEX costs associated with the environment

Business Challenges Resolved with This Approach

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Product Demonstration

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