Successful use of APM doesn’t happen by accident or wishful thinking. You need to learn specific tasks and capabilities and evolve in the course of becoming competent with the technology, as well as becoming savvy with the philosophy and lifestyle of performance management. We have been validating analytic techniques for APM data and have found that using KPIs directly from your managed environment has a distinct advantage versus a generic set of metrics. This ensures that your analytics are farming meaningful data, and not getting distracted with excessive volumes of spurious metrics. It is a technique that you can apply today, as you begin planning for your upgrade tomorrow. In a webcast on May 29th 2013, CA Technologies Mike Sydor, Senior Engineering Services Architect, and author of “APM Best Practices” used this content to discuss how we identify and harness KPIs to make sense of your APM "big data", and how these techniques will help to prepare for your upgrade to the new features and functionality with upcoming APM release and its tight integration with Advanced Behavior Analytics (ABA). Listen to the webcast replay http://goo.gl/PZwTeu Learn more at http://www.ca.com/apm

2. 2 © 2014 CA. ALL RIGHTS RESERVED.
Agenda
 Why so many metrics with APM?
– “Big Data”?
 What we are learning with CA-ABA (analytics)
 How to find KPIs
 What’s new for CA-APM 9.6 Release

3. 3 © 2014 CA. ALL RIGHTS RESERVED.
Typical APM Cluster
 Dozens to hundreds of applications
– 2800 JVMs/CLRs
 Up to 5M metrics, every 15 seconds
 Large applications span multiple data centers
– 2-8 APM clusters, typical
– 30-70 EM Collectors for a nationwide portal application
 12M to 28M metrics, every 15 seconds
… certainly sounds like big data!!!

4. 4 © 2014 CA. ALL RIGHTS RESERVED.
What is Big Data???
APM information is “big”… but it is not “big data” without enrichment
5M Metrics
that you don’t fully
understand
OR
5M Metrics
that you don’t
fully understand
Trouble
Management
Version
Control
Time of ____
Constraints
Air Traffic
Advisories
Weather
Forecast
AP News
Updates
Marketing
Campaigns
E N R I C H M E N T
Correlation
Trends
Insights
Anomalies

5. 5 © 2014 CA. ALL RIGHTS RESERVED.
Challenges for Big Data
 Data Variety – different sources gives different perspectives.
Does your data have a significant perspective?
 Validation – is the data source meaningful/predictive?
 Consistency – are the values trustworthy?
 Data Structure and Nomenclature – Mapping, Transformation
 Temporal Impedance Mismatch
– APM: real-time with 15 second reporting interval
– Trouble Management: +15-30 minutes later
– Stock Ticker: +15-30 minutes later
– Air Traffic Advisories: +30-60 minutes later
– Version Control: days to weeks in advance
– Marketing Campaign Assessment: 2-4 weeks later

6. 6 © 2014 CA. ALL RIGHTS RESERVED.
KPI Management Maturity
SGCM:
Stalls,
GC Settings,
Concurrency,
Memory Management Trends
APC :
Availability,
Performance,
Capacity
EKB:
Errors,
Key Resource Performance,
Business Transaction Survey
VALUE
KPI MATURITY
(Platform) (Application) (Transaction)

7. What We are Learning with CA-ABA

8. ABA Logical Architecture
APM Cluster
5M Metrics
100k
Metrics
(via RegEx)
Anomaly Engine
Anomalies Alerts
Why only 100k Metrics???
Why not 5M???

9. RegEx == Regular Expression
 analytics.metricfeed.process.3 =
 Custom Metric Host (Virtual) |Custom Metric Process
(Virtual)|Custom Business Application Agent (Virtual)
 analytics.metricfeed.metric.3 =
 By Business Service|[^|]+|[^|]+|[^|]+:.+

10. RegEx is hard… but easy to validate

11. Metricfeed.3
0
20
40
60
80
100
120
140
160
180
200
Series1
metricfeed.3
Broader collection of metrics but only 87/500 == 17.4% are
generally known as useful

12. Suspects Identified via Baseline Technique
SiteMinder Backends JSP Frontends JMX Custom
0
2
4
6
8
10
12
14
16
18
Series1
Suspects via Baseline Techniques
Average RT only
100% Useful metrics, ready for validation: 47/43625 == 0.1%

13. Metric Count TypeView

14. What is an Application?
 Front-ends
– Browser? Webservice? Messaging?
 Back-ends
– Databases Webservices Messaging Mainframes Trading_Partners
 Muck-in-the-Middle
– Software quality, stability and scalability
 - We want to identify KPIs for each of these elements
– - helps us build a useful dashboard for Operations
– - helps expose with the resources are really doing
– - helps us define acceptance criteria, to act proactively
– - helps us to triage really effectively

15. How to Find KPIs

16. Capacity KPIs – “Tree Rings”

17. Performance KPIs
High Volume
+
Significant Response Time

18. Create a Simple Alert and Threshold
(ConnectionStatus)

19. Create a Simple Alert, Find Restart and threshold
(MetricCount)
“UP” – but not actually doing anything!!!

20. Understanding Your Environment
 Identify the KPIs
– Availability
 Agent ConnectionStatus
 Number Live Metrics (Metric Count)
– Performance
 High Volume components with significant response time
– NOT “Top 10 Response Time”
– Capacity
 Highest Volume Components
 Don’t Wait for Production!!!
– Make it part of your pre-production review
– Manage the application lifecycle by trending KPIs

21. Good Better (additional) Best (additional)
Stalls Availability – Connected
Status
Errors
GC Settings Availability - Metric
Count
Key Resource
Performance
Concurrency Suspect Performance Business Transaction
Survey
Memory Management
(graph)
Suspect Capacity
Platform
Coarse information
..but not really APM
Application, Transactions, Resources
The APM Advantage
KPI Evolution

22. What’s New in CA APM 9.6
Simplified, automated, and built on CA APM strengths.
Seamless Mainframe Awareness
Faster, Easier APM
• Intelligent Deep Transaction Trace is now dynamic, automated, and requires less developer
involvement for deep dives into apps supporting the transactions
• Simplified Triage with easier drill down with Application Triage Map including Socket Grouping
• Improved response times with software based Transaction Impact Monitor (end-user experience)
• Expanding APMs scope with Java 7 EM & Agents
• Increased insight by adding DB2 details to transaction traces
• Greater awareness with CA SYSVIEW MQ alerts & complete status in APM
• Driving further cross enterprise depth with CTG traces to fully expand backend calls
• Other mainframe based enhancements

23. Preparing to Upgrade
 HealthCheck the existing cluster prior to any upgrade
 Good:
– - Do a clean install of the APM Cluster, alongside of the existing cluster version.
 - Manually duplicate management modules, domains.xml, etc.
 - Bring down the old version, then bring up the new
 Better:
– - Install the new version in a separate environment, reduced size
– - migrate a few applications to the new environment for validation
– - upgrade the primary environment after validation achieved
 Best:
– - Install a new GOLD environment in production, separate from original cluster
– - migrate agents, as schedules permit, until original cluster may be
decommissioned
– - this provides an opportunity to introduce pre-production review and generally
correct any bad deployment habits

24. Resources
 APM Community Site (
https://communities.ca.com/web/ca-wily-global-user-community
– - Cookbook: APM HealthCheck
– - Understanding Which Metrics Matter (KPI discussion)
– - Cookbook: Application Audit
 - more details on the baseline techniques and process
 APM best practices – Realizing Application Performance Management
– available on Amazon.com and Apress.com
 - Baselines, Test Plans, App Audits, Triage, Firefighting
 - Organizational Models, Service Catalogs
 APM Web Page : Ca.com/apm