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See the App Performance Futurewith Predictive AnalyticsSpencer Hallman, Product Manager, CompuwareJacob Ukelson, VP of Product Management, ConicIT

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Spencer HallmanProduct Manager

Compuware

Jacob P. Ukelson VP of Product Management

ConicIT

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What is Compuware Strobe?

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What is ConicIT?• Starts where z/OS performance

monitors stop• Analyzes thousands of mainframe

performance metrics per minute• Automatically detects problems

and performance anomalies—based on machine-learning algorithms

• Sets dynamic thresholds based on performance history and alerts on problems before they affect users

• Provides root-cause information required to effectively solve the performance issue the first time

View all mainframe performance data on one screen—ConicIT software is an always-on, 24/7 expert user that intimately understands normal system behavior on one central console.

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DevOps? for the Mainframe??In a Word: Digitalization

• Uses digital technologies to change business models and provide new revenue and value-producing opportunities

• Projects fundamentally transform business models, processes and roles

• Mainframes manage many key business processes

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Core of Agile and DevOps:

Application-centric Iteration and Actionable Feedback

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The DevOps Quandary for MainframeHigh Velocity, High QualityLow Velocity, High Quality

Low Velocity, Low Quality High Velocity, Low Quality

Thrive

Digitalization & DevOps “Fear Factor”

BeforeDigitalization

Qual

ity

Velocity

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The DevOps Quandary for MainframeHigh Velocity, High QualityLow Velocity, High Quality

Low Velocity, Low Quality High Velocity, Low Quality

Thrive

Qual

ity

Velocity

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The DevOps Quandary for MainframeHigh Velocity, High QualityLow Velocity, High Quality

Low Velocity, Low Quality High Velocity, Low Quality

Thrive

Qual

ity

Velocity

Fast, Accurate, Actionable Production Feedback

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How Do You Get Fast, Actionable Application Feedback from Production?

Behavioral AnalysisAlways Vigilant Predictive Analytics

Fast, Accurate, Deep, Actionable Production Feedback

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Purely Statistical Approach• Uses lots of “low-quality”

models and attempts best fit to current state– Prediction based on selected

model• Also called

descriptive statistics • Good News: Generic and can

be used with any system• Bad News:

Doesn’t really work

Hierarchy of domain expertise• Computers: e.g. CPU

must be positive• Performance: e.g.

locked resources• Mainframe: e.g. queues• Not generic, but can architect

to separate concern

Predictive Analytics and Behavioral AnalysisMathematical Modeling + Domain Expertise Works

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• Which variables and combination of variables are critical– Hundreds or even thousands

of possible parameters• Definition of anomalies

– E.g. time-related parameters• Hour of day, day of month,

month of year, special dates– E.g. work-related parameters

• Certain amount of work needs to be done, elapsed time may vary, others

• Power of dynamic thresholds– Do nothing– Collect and aggregate– Acquire more data

(increase confidence)– Alert

The Importance of Domain Context

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Fits Time-related Data Profile

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ConicIT Behavior Analysis for Predictive Analytics on the Mainframe• Prediction

– Detailed behavioral profile– Prediction based on model– Machine learning algorithms– Prediction as green highway

• Alerts– Accurate, meaningful alerts– Dynamic thresholds– Alerts decision model

• Domain Awareness– System-specific parameters– Synthetic parameters– Generic + customer specific

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ConicIT Smart Alerts

Alert!

Alert?

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Alerts Must be Actionable in the Application’s Domain

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Deep-dive into the Application Domain

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Deep-dive into the Application Domain

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Production Assurance System of Intelligence• Closed loop from operations

to development through runtime—analyze, detect, classify and understand

• Decrease reliance on deep mainframe expertise through system of intelligence for production assurance

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Production Assurance Stack

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Future

Production Assurance OverviewMonitors

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Getting Started is Simple• Non-intrusive, painless installation on standard Linux server• Does not require (“expensive”) MIPS resources• Easy to install; no integration needed, uses data from existing

performance monitoring tools• No project; self-learning system• Automatically calculates dynamic thresholds

through automated learning• Fully customizable

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ConicIT + Strobe Benefits

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