Toronto VMware User Group (VMUG) Meeting on November 13, 2013 at the Metro Toronto Convention Centre.

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

9. Policy-Based Visualization
Risks
Inefficiencies
Clusters
Policy-Based
“Goal Posts”
Hosts
Guests
www.cirba.com Copyright ©2012 CiRBA Inc. All Rights Reserved

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…)