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Automated Capacity Control
Actively Balancing Infrastructure Supply & Demand

Andy Walton
Director, Technical Sales
www.cirba.com
@ajwCiRBA

www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved
Evolving Virtual / Cloud Management Stack

Capacity Issues
Low Density
Little or No Automation
Administration
& Monitoring

3
vCOPS / vCenter

App

App

App

SCOM

App

App

RHEV-M

App

App

App

HMC

App

App

Virtualization

VMware

Hyper-V

KVM

2

AIX

Hypervisor
Specific Admin

Lock-in
Avoidance

Compute
Infrastructure

Storage
Network

www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved

1

Resource
Convergence
Gaining Control and Moving to Cloud Models

5

Self Service

Administration
& Monitoring

4

Automated Capacity Control

Analytics

“Where, When & How Much”

3
vCOPS / vCenter

App

App

App

SCOM

App

App

RHEV-M

App

App

App

HMC

App

App

Virtualization

VMware

Hyper-V
Compute

Infrastructure

Network
Storage

www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved

KVM

2

PowerVM

1

Empower
End Users

Gain Control of
Supply & Demand

Hypervisor
Specific Admin

Lock-in
Avoidance

Resource
Convergence
Automated Capacity Control Software

Intelligently places workloads and allocates
resources to eliminate capacity issues and
lower infrastructure costs

Demand
www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved

Supply
Stakeholder Value

IT Executive

Architect / Engineer

Reduce Hardware & Software Licensing
Costs by 40-70%

Provides an Automated and Safe
Placement Engine
Eliminate Capacity Issues &
Increase Automation

Operations

Capacity / Demand
Managers

Transformation
Managers

Enable Enterprise-Wide Routing,
Reservations & Forecasting
Employ Factory-like Migrations
With Speed, Consistency & Accuracy

www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved
Properly Managing Density

High

Cost

Risk

Critical
Production
Workloads

Non-Critical
Production
Workloads

Density is
Governed by
Operational
Policy
Batch &
Dev/Test
Workloads

Low
Low

High

Density (Consolidation Ratio)

www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved
Policy-Based Management
Production Production Production Production
Critical
IT
Cloud
Batch/HPC

Pre-Prod

Dev/Test

Density

Low

Med

Med

Low

Med

High

Performance

High

Med

Med

Very High

Med

Low

Availability

N+2

N+1
N+1

N+1

N/A

N/A
N/A

N/A

Compliance

Rigorous
Rigorous

Medium

None

None

Volatility

Low

Med

High

High

Med

High

Operational
Cycles

Business
Business
Defined
Defined

IT Defined

Unbound
Unbound

Windowed

Simulated

None

Automation

Approval
Approval
Based
Based

Semi-Auto

Semi Auto

Fully Auto

Process
Defined

Developer
Defined

www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved

Multi-Tenant Low to None
Impact: Software License Control

Optimal placements are key to savings with
per host licensing models
Windows VMs

Linux VMs

Average Savings of 55%

Virtual/Cloud Infrastructure

License
Containment
www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved

Defrag

License
Sprawl
Policy-Based Visualization

Risks

Inefficiencies

Clusters

Policy-Based
“Goal Posts”
Hosts

Guests

www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved
How It Works
Rapidly move to
new technologies
and platforms

Control
Policies

Route new
workloads to the
right capacity and
reserve space ahead
of time

Optimal
Placements &
Allocations

Technical
Analysis

Business
Analysis

Actively balance
supply and demand
and accurately
forecast capacity

Utilization
Analysis

Automation
www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved
Rethinking Self Service
Definition: Giving end users the ability to request
capacity through a request portal/system, and
immediately provisioning that capacity for them
intelligently

Ad-Hoc Use

Road Trip = On-Demand Use

www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved

Enterprise Use

Business Trip = Book Ahead
Optimizing Cloud Operational Models

Request
Console

Enterprise
Workloads

Control
Console

Workload
Routing API

Ad-Hoc
Self-Service

Reservation
Console

Placement
Analytics

?
Provisioning
Process

Internal Cloud
Infrastructure
Create
Start/Stop
Destroy

Intelligent
Initial
Placement

Operational
Metrics
VMM

Automated
Rebalancing
& Resizing

VMM

Intelligently Place VMs
& Allocate Resources
www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved

Optimize Density &
Minimize Operational Risk

Scientifically Manage
Enterprise Demand
Hotels.com for IT
Timeline of
inbound
demands

View of “booking requests” feeding in
from release management, migration
projects, cloud requests, etc.

Demand

Automatic evaluation of hosting options
www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved

Most suitable environments
scored by Fit for Purpose,
Cost, and Available Space

Supply
What This All Means…
One model of all global hosting capacity
– Virtual or cloud (or even external)
Scientific means to align Supply and Demand
– Environment-level routing of inbound demands
– Host-level placement, rebalancing, resizing
– Cloud stack integration (Ad-Hoc Self-Service)
– Capacity Reservations (Enterprise Self-Service)

Opportunity for significant financial savings
– Increased VM density = H/W purchase avoidance
– Software density = license savings
– Reduced capacity risk = cloud success
www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved
CiRBA & VMware
1. All CiRBA customers have VMware ELA’s
2. Complementary Solutions:
– API Integrations
– Data comes directly from VMware
– Actions sent directly to VMware
– Designed to work with:
•
•
•

vCOPS
DRS
vCAC

(Also true of HyperV, RHEV & POWERvm )

www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved
Questions?

www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved

(we’re hiring…)

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Toronto VMUG - November 13, 2013 - CiRBA

  • 1. Automated Capacity Control Actively Balancing Infrastructure Supply & Demand Andy Walton Director, Technical Sales www.cirba.com @ajwCiRBA www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved
  • 2. Evolving Virtual / Cloud Management Stack Capacity Issues Low Density Little or No Automation Administration & Monitoring 3 vCOPS / vCenter App App App SCOM App App RHEV-M App App App HMC App App Virtualization VMware Hyper-V KVM 2 AIX Hypervisor Specific Admin Lock-in Avoidance Compute Infrastructure Storage Network www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved 1 Resource Convergence
  • 3. Gaining Control and Moving to Cloud Models 5 Self Service Administration & Monitoring 4 Automated Capacity Control Analytics “Where, When & How Much” 3 vCOPS / vCenter App App App SCOM App App RHEV-M App App App HMC App App Virtualization VMware Hyper-V Compute Infrastructure Network Storage www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved KVM 2 PowerVM 1 Empower End Users Gain Control of Supply & Demand Hypervisor Specific Admin Lock-in Avoidance Resource Convergence
  • 4. Automated Capacity Control Software Intelligently places workloads and allocates resources to eliminate capacity issues and lower infrastructure costs Demand www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved Supply
  • 5. Stakeholder Value IT Executive Architect / Engineer Reduce Hardware & Software Licensing Costs by 40-70% Provides an Automated and Safe Placement Engine Eliminate Capacity Issues & Increase Automation Operations Capacity / Demand Managers Transformation Managers Enable Enterprise-Wide Routing, Reservations & Forecasting Employ Factory-like Migrations With Speed, Consistency & Accuracy www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved
  • 6. Properly Managing Density High Cost Risk Critical Production Workloads Non-Critical Production Workloads Density is Governed by Operational Policy Batch & Dev/Test Workloads Low Low High Density (Consolidation Ratio) www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved
  • 7. Policy-Based Management Production Production Production Production Critical IT Cloud Batch/HPC Pre-Prod Dev/Test Density Low Med Med Low Med High Performance High Med Med Very High Med Low Availability N+2 N+1 N+1 N+1 N/A N/A N/A N/A Compliance Rigorous Rigorous Medium None None Volatility Low Med High High Med High Operational Cycles Business Business Defined Defined IT Defined Unbound Unbound Windowed Simulated None Automation Approval Approval Based Based Semi-Auto Semi Auto Fully Auto Process Defined Developer Defined www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved Multi-Tenant Low to None
  • 8. Impact: Software License Control Optimal placements are key to savings with per host licensing models Windows VMs Linux VMs Average Savings of 55% Virtual/Cloud Infrastructure License Containment www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved Defrag License Sprawl
  • 10. How It Works Rapidly move to new technologies and platforms Control Policies Route new workloads to the right capacity and reserve space ahead of time Optimal Placements & Allocations Technical Analysis Business Analysis Actively balance supply and demand and accurately forecast capacity Utilization Analysis Automation www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved
  • 11. Rethinking Self Service Definition: Giving end users the ability to request capacity through a request portal/system, and immediately provisioning that capacity for them intelligently Ad-Hoc Use Road Trip = On-Demand Use www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved Enterprise Use Business Trip = Book Ahead
  • 12. Optimizing Cloud Operational Models Request Console Enterprise Workloads Control Console Workload Routing API Ad-Hoc Self-Service Reservation Console Placement Analytics ? Provisioning Process Internal Cloud Infrastructure Create Start/Stop Destroy Intelligent Initial Placement Operational Metrics VMM Automated Rebalancing & Resizing VMM Intelligently Place VMs & Allocate Resources www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved Optimize Density & Minimize Operational Risk Scientifically Manage Enterprise Demand
  • 13. Hotels.com for IT Timeline of inbound demands View of “booking requests” feeding in from release management, migration projects, cloud requests, etc. Demand Automatic evaluation of hosting options www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved Most suitable environments scored by Fit for Purpose, Cost, and Available Space Supply
  • 14. What This All Means… One model of all global hosting capacity – Virtual or cloud (or even external) Scientific means to align Supply and Demand – Environment-level routing of inbound demands – Host-level placement, rebalancing, resizing – Cloud stack integration (Ad-Hoc Self-Service) – Capacity Reservations (Enterprise Self-Service) Opportunity for significant financial savings – Increased VM density = H/W purchase avoidance – Software density = license savings – Reduced capacity risk = cloud success www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved
  • 15. CiRBA & VMware 1. All CiRBA customers have VMware ELA’s 2. Complementary Solutions: – API Integrations – Data comes directly from VMware – Actions sent directly to VMware – Designed to work with: • • • vCOPS DRS vCAC (Also true of HyperV, RHEV & POWERvm ) www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved
  • 16. Questions? www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved (we’re hiring…)