CA Performance Management 2.6 Deep Dive

Pre-Con Education: CA Performance
Management 2.6 Deep Dive
Jeff Morris
DevOps: Agile Ops
CA Technologies
Principal Engineering Services Architect
DO5X82E
@TwitterHandle
#CAWorld

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The content provided in this CA World 2015 presentation is intended for informational purposes only and does not form any type of
warranty. The information provided by a CA partner and/or CA customer has not been reviewed for accuracy by CA.
For Informational Purposes Only
Terms of this Presentation

Abstract
CA Performance Management 2.6 is a next-generation tool for monitoring
mega-sized networks. This session, led by CA network monitoring experts,
is designed to help new and existing users expand their knowledge of key
capabilities and maximize the value of their performance data. The
session will focus on foundational features, including understanding the
architecture (data collectors, data repository/database, data aggregator,
user interface and integration with CA Mediation Manager), leveraging the
predefined dashboards and reports, understanding metric families and
vendor-specific device certification, creating and deploying discovery and
monitoring profiles and eventing. You'll also learn about advanced
features, such as customizing dashboards and reports, automating custom
groups creation and device population, using the application program
interface (API) to integrate CA Performance Management with basic
service set (BSS)/configuration management systems and create a zero-
touch, automated process flow to on-board monitoring and self-
certification procedures for device monitoring.
Jeff Morris
CA Technologies
Principal Engineering
Services Architect

Agenda
FOUNDATIONAL FEATURES
ARCHITECTURE
PERCENTILES
DASH BOARDS
REPORTS
DATA AND ANALYTICS
1
2
3
4
5
6

CAPC Single Pane View Reporting
Participating data sources that synchronize device related items
and elements information to Performance Center
 CA Data Aggregator (DA)
 CA Network Flow Analysis (NFA)
 CA Application Deliver Analysis (ADA)
 CA Unified Communications Monitor (UCM)
 CA Service Operations Insight (SOI)
 CA eHealth views and reporting (eHealth)
 CA Spectrum event processing only…
Note: eHealth is not a Report Information Base (RIB) as the approach leverages a integration SOAP API.
Multi-Domain Dashboard and On-Demand Reporting

CAPC – Reporting Architecture
 RIB Components
• Web services and XML documents that access
data collected from various sources
• RIB Engine
• Application-facing web service accepts
queries, distributes across RIB sources,
and combines results
 RIB Documents
• XML document describes & defines valid
ways of querying a particular RIB source

Dashboard Types
 Inventory pages
 High-level information to identify managed items and groups of items
 Groups and Sites, Devices and Servers, Interfaces, Device Components, Elements
 Summary pages
• High-level information, such as averages from groups of managed items.
Often provide a drill-down path to more detailed, related pages from a
selected item context.
 Context pages
• Provide specific, focused performance or status data from a narrow context,
such as a single router or server. These pages are available as drill-down links
or tabs from Summary dashboards.
Categories of dashboards are available by default or through customization

Dashboard/View Visualization Types
Available views to be customized to met customer needs
 Table for grid aggregate data
 Calendar heat chart
 Pie chart
 Gauge for threshold
dissemination
 Gauge/Table
 Trend/Table
 Trend/Stacked chart
 Horizontal/Side by Side bar chart
 Multi-view
 Multi-trend
 Scorecard severity Health Table
and Trend Grids
 Dynamic Trend Chart
 On-Demand for the ability to
generate live reports

On-Demand Reporting Visualization Types
Multiple visualization & aggregation options
 Chart with multiple metrics
 Chart per metric
 Chart per Item with
multiple metrics
 Chart per metric with
multiple items
 Table with multiple metrics
 Table per item with multiple
metrics
 Summary table/Chart by
metrics
 Summary table/Chart by
items

Metric Filtering in Custom and Dynamic Views
Simplify the selection of which metrics are available for a selected context
Metrics filtering
support with Custom
and Dynamic views
based on item.

Scorecard Views
 Types:
– Table grid for multiple metrics with health status indicator
– Trend grid for single metric for time sensitive health status threshold
– IM Custom view group scorecard (trend type for single metric)
 Value:
– Show aggregated values for current report period and up to 8 prior periods
of the same size to be used in calculations
– Threshold symbols indicate aggregate “health” status via green/yellow/red
icons.
– Aggregation levels are at Group, Device, & Device Component (i.e. Interface)

Analytics
 Analytics is the discovery and communication of meaningful
patterns in data. Especially valuable in areas rich with
recorded information, analytics relies on the simultaneous
application of statistics, computer programming and
operations research to quantify performance.
CAPM Context driven analytics

Types of Analytics

Analytics in Context – Smart and Accessible
CAPM makes analytics easy and accessible
 Accessible
– Easy to interpret
– Easy to configure
– Analytics available in many views and reports
 Smart
– Individual metric-level configuration
– Multiple percentiles and projections per metric
– Multiple visualization types
– Many metrics already turned on Out-of-Box

Percentiles and Projections
Core analytics for deep insights and accurate capacity projections
 A percentile is a measure used in statistics indicating the
value below which a given percentage of observations in a
group of observations fall
 A Projection is a forecast about what will happen in the
future, based on historical data

Understanding Percentiles – Bandwidth Example
Common use case in measuring bandwidth utilized – remove peaks
 The 95th percentile says that 95 percent of the time, the bandwidth usage
is below this amount. The remaining 5 percent of the time, the bandwidth
usage is above that amount.
– Uses: Capacity Planning, Billing, SLA Compliance
95th
Percentile
Count of
Samples

Understanding Percentiles – Illustration

Percentile Calculation
CAPM uses the industry standard or ‘Excel method’
Sorted List IF Util%
1 30
2 30
3 30
4 30
5 35
6 40 95/100 N-1 .95*11 +1
7 45 0.95 11 10.45 11.45
8 50
9 60
10 65 11th value 70
11 70 "0.45*(85-70)" 6.75
12 85 95th Percentlie 76.75

CAPM – Configure Percentiles
 Pre-2.5 : 95th Percentile ONLY available per metric
 2.5 and above: Two user configurable percentiles were
added per metric

Easy Configuration

Available Where You Want It

Understanding Projections
 A Projection is a forecast about what will
happen in the future, based on historical
data.
⁻ Calculated using “least-squares” linear
regression line from historical data
⁻ Estimates future values from regression line
⁻ Consistently use the same methodology for all
visualizations

Projections in CAPM
Intuition: find the projection line
that minimizes the overall sum of
difference between predicted and
actual historical values
Projections Calculated by Linear “Least-Squares” Regression
Sum of the
Residuals
Time
Polled Metric
Values
Projection Line

Metric Projection - How it Works
 Configuration requires user to specify
– Projection intervals (days into future)
– Percentile Used for Projections
(typically set to 95th)
 Calculate and store daily percentile of
polled data
 Daily percentile values become basis for
calculation of projection line
X Daily
Percentile
Metric
Value
Time
Mon, 3/9 Tues,
3/10
Wed,
3/11
Thurs,
3/12
Y Daily
Percentile
Z Daily
Percentile
RegressionPeriod(upto
90days)
Prediction Daily Percentile
Storage
Mon 3/9, Daily Percentile = X
Tues 3/10, Daily Percentile = Y
Wed 3/11, Daily Percentile = Z

Metric Projection - How it Works

3 Major Ways to Utilize Projections in CAPM
Trend line view w/Projection
Scorecard view w/Projection values
Custom table view w/Projection values
B
C
A

Trend Line with Projection

Scorecard View with Projection Values
 Approximation
– Uses the average from each time frame in the view to calculate the
projection values with least squares regression
– Precision can be considered by Central Limit Theorem (that is average
of an average normalizes with sample size)
 Detailed Data
 Uses the polled data for the entire time frame of the view to calculates
a least squares regression across entire set of data points
 This calculation is statistically more accurate and provides extra
columns in the view

Scorecard projections – Dynamic Configuration
Up to 3
Columns of
Projections

Custom Table View w/ Projection Values

Projection Comparison - Overview

Recommended Sessions
SESSION # TITLE DATE/TIME
DO5X213L
Increase Your Speed to Manage with CA Performance
Management Self Certification
11/19/2015 at 4:30 pm
DO5T17S
University of Chicago Achieves High Availability through
a Centralized and Service Centric Approach to IT
Monitoring
11/19/2015 at 4:30 pm
DO5X221L
Hands-On Lab: Experience How to Leverage CA
Spectrum® 10.1 Support for Wireless LAN Controller and
Access Point Management
11/19/2015 at 4:30 pm

Must-See Demos
Demo Name
CA Performance
Management
Theater 5
Demo Name
Service Operations
Insight
Theater 5
Demo Name
CA Unified
Infrastructure
Management
Theater 5
Demo Name
CA Virtual Network
Assurance
Theater 5

Follow ON Conversations At…
Smart Bar
Service Operations
Insight
Theater 5
Tech Talks
Capacity Manager
Theater 5

Q & A

For More Information
To learn more, please visit:
http://cainc.to/Nv2VOe
CA World ’15

CA Performance Management 2.6 Deep Dive

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