CA Performance Management is a big data collection, warehousing and analytics solution that helps enterprises maximize return on their network infrastructure investments and lower the cost of network operations.
Learn more about CA Performance Management here: http://bit.ly/1vrQPJB
2. 2
Network downtime and degradations severely
impact revenue.
More Application Workloads to Drive the Business
Greater Business Agility and Lower IT CAPEX and OPEX.
Data Center Consolidation & Transition to Private Cloud
Greater Collaboration, Improved
Business Processes and Lower Expenses.
.
Virtual Desktop
Services
Bandwidth capacity must be planned and utilization must prioritized and managed.
Operations needs relief with more unified, user- friendly, intelligent and automated tools.
Video,
Tele- Conferencing and VoIP
Large Enterprise Network Trends and Challenges
Network
Size and Complexity
is Increasing
Opportunities
Challenges•Application workloads are increasing, especially as customers, partners and suppliers interact and transact business with youvia your website. So network performance and availability from your web server to your internal systems are critical to your business more than ever. •Data center consolidation and the transition to Private and Hybrid Private-Public Cloud are lowering capital and administrative costs and enabling business agility. But this increases your business’ reliance on your network’s availability and performance as the volume and types of traffic and network utilization increase. •Virtual Desktop Services can lower administrative and end-user support costs and increase security, but this also increases network traffic and end-users’ reliance on the network for personal productivity. •Teleconferencing and Voice-over IP can lower travel and telecomm costs while improving collaboration. But this increases network traffic and the need for greater control over who uses your network, how they use your network and how to assure quality of service. •As your network grows and gets more complex, your operations and engineering team needs a way to make capacity planning, monitoring and incident handling easier and more efficient. Overcoming these modern network challenges requires a modern network performance management solution.
3. Network Performance Management Requirements For Today’s Application Service-Driven Large Enterprises
1.Scalability: Unified, high-scale
monitoring at low cost
2.Flexibility: Intelligent analytics
easily customized, unified
dashboards and reports
3. Extensibility: Open architecture
to integrate information, automate
processes and extend functionality
4. Network Performance Management Requirements For Today’s Application Service-Driven Large Enterprises
1.Scalability: Unified, high-scale
monitoring at low cost
2.Flexibility: Intelligent analytics
easily customized, unified
dashboards and reports
3. Extensibility: Open architecture
to integrate information, automate
processes and extend functionality
Need to monitor your entire multi- technology, multi-vendor environment with a single tool at high scale without the hardware and administrative costs of other solutions.
5. Network Performance Management Requirements For Today’s Application Service-Driven Large Enterprises
1.Scalability: Unified, high-scale
monitoring at low cost
2.Flexibility: Intelligent analytics
easily customized, unified
dashboards and reports
3. Extensibility: Open architecture
to integrate information, automate
processes and extend functionality
Need to put more power into the hands of Operations and Engineering —so they are more productive and less dependent upon administrative support.
Need to monitor your entire multi- technology, multi-vendor environment with a single tool at high scale without the hardware and administrative costs of other solutions.
6. Network Performance Management Requirements For Today’s Application Service-Driven Large Enterprises
1.Scalability: Unified, high-scale
monitoring at low cost
2.Flexibility: Intelligent analytics
easily customized, unified
dashboards and reports
3. Extensibility: Open architecture
to integrate information, automate
processes and extend functionality
Need to put more power into the hands of Operations and Engineering —so they are more productive and less dependent upon administrative support.
Need to monitor your entire multi- technology, multi-vendor environment with a single tool at high scale without the hardware and administrative costs of other solutions.
Need to increase efficiency through self-certification of monitored devices, self-customized settings and integrations with other tools.
7. Cloud
CR
Consumer
User Equipment
Partner
User Equipment
Remote Offices
MW
Scalability RequirementsDepth, Breadth and Volume
Data Center
Campus
Modern network monitoring and
analytics solution•Assuring satisfactory application service delivery, good user experience and your ability to maintain operating and service level agreements are paramount to your business’ revenue, customer satisfaction and your reputation. •Dumb pipes, siloed tools and reactive monitoring of your network domains are inadequate for today’s enterprises. •Instead, instrumentation and analytics must be intelligent and end-to-end across the entire service delivery path so you know how and where network incidents impact users and how trends will impact users and business processes unless they are proactively addressed. •This requires a single performance management solution that can monitor and analyze a massive amount of granular key performance indicators from a wide range of multi-vendor network equipment and across all network technology domains.
8. 8
Scalability Requirements
Architectural Principles
Multi-Tiered
Architecture
Linear Polling
Massive Storage
Scale-Optimized
Visualization
HTTP 8581
TCP 5433
TCP 61616
HTTP 8181
Data Aggregator (DA)
CA Performance Center
Data Collectors (DC)
... ...
Client
Data Aggregator Repository
• Monitoring today’s large, complex networks
requires tools built on an entirely new Multi-
Tiered Architecture that provides very high scale
at low cost.
• Based upon a centralized cluster of host servers –
each dedicated to a specific function – this
architecture enables very high performance data
collection and analytical processing that requires
half or less than half the host servers of older-generation
monitoring tools.
• The architecture’s efficient polling engines
(i.e., collectors) scale monitoring linearly and at
low cost by adding a fraction of additional servers
required by older-generation tools.
• Newer data base technology enables
warehousing of hundreds of terabytes of data on
a small host foot-print, making them available for
deep analytics for incident management and
trending for capacity planning and proactive
problem avoidance.
• Dashboards are optimized for reading and visually
correlating a massive amount of key performance
indicators. The architecture is designed to
eliminate bottlenecks found in older-generation
monitoring tools to ensure instant population of
dashboards and reports with metrics and analysis.
Modern, Multi-Tiered Architecture for Large
Enterprise Networks
9. Scalability Requirements
Economical Architecture
Multi-Tiered
Architecture
Linear Polling
Massive Storage
Scale-Optimized
Visualization
HTTP 8581
TCP 5433
TCP 61616
HTTP 8181
Data Aggregator (DA)
CA Performance Center
Data Collectors (DC)
... ...
Client
Data Aggregator Repository
• Large Enterprise Deployment
• Solution: 1 instance of
CA Performance Management
• 17,000 network devices
monitored, including:
• >1.5M monitored items
• >50M metrics
Configuration:
– 8 host servers with room to grow
Modern network monitoring
and analytics solution
• Example of a modern, high-scalability monitoring
solution in production at a large enterprise.
• The solution’s modern, Multi-tiered Architecture is
based on a centralized cluster of servers , each
hosting a specific function (data collection,
aggregation/analysis, storage, etc.).
• This optimizes monitoring by overcoming the
inefficiencies and bottlenecks found in older
Distributed Polling and Data Storage Architectures
and Peer-to-Peer Appliance-Based Architectures.
.
Modern, Multi-Tiered Architecture for Large
Enterprise Networks
10. 10
Case StudyGlobal Enterprise with Offices across 130 Countries
• Network previously outsourced
• Insourcing project to enhance service availability
• No owned SNMP monitoring tools in place as a result of change
• Previous outsourced Vendors owned tools
Solution
• Can offer customers enhanced services due to greater network control and availability
• Improved application performance due to better remediation of problems
• More proactive to avoid problems
• Can validate QoS settings and best capacity for application teams to specify
Challenge
Benefits
• CA Performance Management monitors 3K network devices:
–Includes 500K items
–Moving to an estimated 1.5M items with CBQoS and IP SLA implementations
–Integrated with CA Network Flow Analysis for 3K interfaces; CA Application Delivery Analysis for Application response monitoring and CA Spectrum® for fault management
Solution
11. 11
Case StudyNationwide Enterprise with 9,000 Locations
• Multiple tools used for network monitoring
• High capital costs due to software licensing and maintenance fees
• High administration costs due to number of servers required by multiple tools and older monitoring tool architectures
• Need to increase monitoring to support capacity planning and application performance SLAs
Solution
• Operational efficiency
–80percent more efficient collection (15 servers to 3)
–95percent faster discovery (24 hours to 1 )
–Automation frees Operations staff from low-level administrative and manual tasks
• Better communications and service for lines of business
–Self-developed and customized reporting
–Proactive capacity planning
–High-level status for leadership
Challenge
Benefits
• CA Performance Management monitors 17K network devices:
–1.5M items monitored including device elements, CBQoS and IP SLA tests
–To be expanded to 47K network devices as an additional legacy monitoring tool is retired
–Integrated with CA Network Flow Analysis for bandwidth management per application
–Integrated with CA Unified Communications Monitor, which manages 50K IP phones
Solution
12. 12
Case StudyRegional Enterprise With 200 Locations
• Manage a rapidly growing network.
–Performance
–Capacity Planning
• Change Operations from reactive to proactive.
–Detect and resolve issues prior to them becoming incidents.
• Enable network support teams to focus on rapid incident and problem resolution and adhere to ITIL processes.
Solution
• Operational efficiency
–Single UI for performance, capacity, plus data flow and application performance metrics
–Don’t need to be an administrator to understand metric displays
–Self-customizable dashboards makes data easy to interpret
–Cross-tool integration
• Proactively prevent business impact
–See trends with events.
–Easy-to-see and sort top offending issues
––Easy-to-see problems and solutions by groups
Challenge
Benefits
• CA Performance Management monitors a complex network of 1,800 multivendor devices:
–Routers
–Switches
–Appliances
–Firewalls
• Integrated with CA Network Flow Analysis , CA Application Delivery Analysis and other CA tools
Solution
13. For more information, see
CA Performance Management at
www.ca.com
CA Performance Management is a big data
collection, warehousing and analytics
solution that helps enterprises maximize
return on their network infrastructure
investments and lower the cost of network
operations.