CA Performance Management 2.6 Deep Dive
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Transcript of 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
2 © 2015 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD
© 2015 CA. All rights reserved. All trademarks referenced herein belong to their respective companies.
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
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AbstractCA 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
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Agenda
FOUNDATIONAL FEATURES
ARCHITECTURE
PERCENTILES
DASH BOARDS
REPORTS
DATA AND ANALYTICS
1
2
3
4
5
6
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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
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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
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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
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Dashboard/View Visualization TypesAvailable 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
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On-Demand Reporting Visualization TypesMultiple 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
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Metric Filtering in Custom and Dynamic ViewsSimplify the selection of which metrics are available for a selected context
Metrics filtering support with Custom and Dynamic views based on item.
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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)
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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
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Types of Analytics
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Types of Analytics
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Analytics in Context – Smart and AccessibleCAPM 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
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Percentiles and ProjectionsCore 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
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Understanding Percentiles – Bandwidth ExampleCommon 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
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Understanding Percentiles – Illustration
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Percentile CalculationCAPM 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 +17 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
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CAPM – Configure Percentiles
Pre-2.5 : 95th Percentile ONLY available per metric
2.5 and above: Two user configurable percentiles were added per metric
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Easy Configuration
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Available Where You Want It
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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
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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 MetricValues
Projection Line
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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
TimeMon, 3/9 Tues,
3/10Wed, 3/11
Thurs, 3/12
Y Daily
Percentile
Z Daily
Percentile
Regressio
n P
eriod
(up
to
90
days)
Prediction Daily Percentile Storage
Mon 3/9, Daily Percentile = X
Tues 3/10, Daily Percentile = Y
Wed 3/11, Daily Percentile = Z
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Metric Projection - How it Works
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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
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Trend Line with Projection
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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
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Scorecard projections – Dynamic Configuration
Up to 3 Columns of Projections
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Custom Table View w/ Projection Values
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Projection Comparison - Overview
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Recommended Sessions
SESSION # TITLE DATE/TIME
DO5X213LIncrease 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
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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
35 © 2015 CA. ALL RIGHTS RESERVED.@CAWORLD #CAWORLD
Follow ON Conversations At…
Smart Bar
Service Operations Insight
Theater 5
Tech Talks
Capacity Manager
Theater 5
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Q & A
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For More Information
To learn more, please visit:
http://cainc.to/Nv2VOe
CA World ’15