More Related Content Similar to CA Converged Capacity Management Similar to CA Converged Capacity Management (20) CA Converged Capacity Management2. 2 © 2014 CA. ALL RIGHTS RESERVED.
Discussion topics
• What is converged capacity management?
• Why is it so important?
• What specific value does it provide?
• How do you make it happen?
• Next steps
3. 3 © 2014 CA. ALL RIGHTS RESERVED.
What is Converged Capacity Management?
“Converged Capacity Management integrates capacity
management across both the IT and the facility environments,
providing visibility into total data center capacity consumption.”
4. 4 © 2014 CA. ALL RIGHTS RESERVED.
Why is CCM so important…. the infrastructure gap
PowerSpace Cooling
Mobility Social
Big Data
Client
Experience
• Data Center
Build
• Retrofit
• Optimization
• Consolidation
• Colocation
• Cloud
DATA CENTER CAPACITY
Infrastructure
Gap
5. 5 © 2014 CA. ALL RIGHTS RESERVED.
… this gap impacts business…
Is your
data center
at risk?
6. 6 © 2014 CA. ALL RIGHTS RESERVED.
IT Management & Business
Services
Logical
Converged Cap Mgt
Asset Mgt * Service management
Power & Cooling
Real-time
Data Collection
Analysis
Reporting
Alerting
Capacity & Inventory
Physical
Asset
Management
3D Visualization
Capacity Analysis
Provisioning
Planning
…a gap oftentimes filled with DCIM
CA DCIM
7. 7 © 2014 CA. ALL RIGHTS RESERVED.
What is CCM in real-life?
Specify
Requirements
New Business
Service
Manage
capacity &
deploy
On Time
On Budget
Reduce
CAPEX
Reduce
OPEXAnalyze DC
capacity
requirements
Determine
power, space
& cooling
Analyze IT
Capacity
requirements
Determine
compute,
storage, I/O,
etc.
Data Center Capacity
Management
IT Capacity Management
CCM
8. 8 © 2014 CA. ALL RIGHTS RESERVED.
With CCM you gain real business value….
Increased Visibility Improved Provisioning Reduced CAPEX/OPEX
• Total capacity
• Resource
utilization
• Organizational
silos
• Consumption of
IT resources
• Better planning
• Just-in-time
• Effective resource
utilization
• Energy savings
• Streamlined
processes
9. 9 © 2014 CA. ALL RIGHTS RESERVED.
Let’s see it in action….
10. 10 © 2014 CA. ALL RIGHTS RESERVED.
Looking closer … increased visibility
• Capacity across IT
• Capacity across facilities
• Unified view
11. 11 © 2014 CA. ALL RIGHTS RESERVED.
Looking closer … increased visibility
• Capacity across IT
• Capacity across facilities
• Unified view
Monitor breaker used by VM clusters
Alarm = power exceeds capacity rating
Power issues visible before they
present a problem
View IT Utilization on same clusters
12. 12 © 2014 CA. ALL RIGHTS RESERVED.
Looking closer … increased visibility
• Capacity across IT
• Capacity across facilities
• Unified view
Indication of productive and
unproductive power usage
Unproductive power = potential to
reduce IT Equipment
Reduced IT equipment = increased
efficiency & less power
13. 13 © 2014 CA. ALL RIGHTS RESERVED.
Looking closer … improved provisioning capabilities
• Capacity analysis – What
• “What-if” analysis - Where
• Deployment - How
14. 14 © 2014 CA. ALL RIGHTS RESERVED.
Looking closer … reduced OPEX & CAPEX
• Optimization of software
• Optimization of hardware
• Risk mitigation
15. 15 © 2014 CA. ALL RIGHTS RESERVED.
Adopt a phased approach to getting started …
Centralize your data archiveStep #1
• Consolidate data collection practices
• Aggregate capacity-related data from across the organization
Map your service relationshipsStep #2
• Leverage your CMDB to understand infrastructure – services dependencies
• Visualize, map and manage capacity
Model trends, plan capabilitiesStep #3
• Historical and real-time capacity = clear understanding of capacity constraints
• Utilize “what-if” scenario analysis to gauge impact of future growth
16. 16 © 2014 CA. ALL RIGHTS RESERVED.
Questions?
Editor's Notes Graph Upper Right: The graphing on the right half is a modeling of expected growth based on expected scenario
Step #1:
Step #2: Once the centralized data source is created, organizations should establish relationships between capacity and the workloads associated with specific applications and business services.
CMDB maps the dependencies between your infrastructure and resources capabilities on one hand and the applications and services supported by business on the other
E commerce companies: get a clear picture of the volume of transactions existing data center capacity can support
Large volume of visitors to your websites – assess ability to cope with sudden traffic surges
Prevent bottlenecks by allocating workloads to servers most able to take the load
IT managers can understand