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ConicIT & Compuware’s Strobe
synergistic solution
Automatic detection and analysis
of applications problems
The Problems that we solve
• Catching and analysis of applications bugs
can be hard:
– How to detect problems at early stage
– How to run Strobe powerful analytic tool
exactly when the problem exists
– What if the problem appears at night? Who
will run Strobe analysis?
– Does high CPU necessary means application
problem? How to detect that there’s a real
problems?
The Vision
Automatic detection of applications
problems, which triggers automatic
deep investigation of the application.
The Building Blocks - I
ConicIT
• Automatic detection and alerts about anomalies
that reflects mainframe performance problems
• Connects to your mainframe’s performance
monitors once a minute and reading thousands
of performance metrics
• Presents all the data and graphs in a friendly
and aggregated format on your web-browser
• Using machine learning to study the normal
behavior of your mainframe, and to
automatically detects anomalies and problems
and to alert about them.
ConicIT recognizes
that CPU of
10.98% for
PSYCICS7 started-
task is too high
compared to the
expected range for
that time (the
green stripe).
ConicIT
automatically
starts Strobe to
investigate the
anomaly of the
job’s CPU.
The Building Blocks - II
Compuware Strobe
• Deep profiling and investigation of
performance problems
• Runs on specific job-name, and possibly
focusing on specific transactions
• Quickly pinpoint the source of application
inefficiencies.
• Allows to improve user code efficiency,
transaction response time and
throughput.
The integrated solution
• ConicIT automatically detects performance
problems and anomalies
• ConicIT Activate strobe on the relevant job
and transaction, just on time, 24/7
• Strobe is investigating the job and create
reports that gives you all required information
to figure the root cause
• Strobe is sending you an email, with link to
the result of the investigation
The integrated solution
ConicIT detects
performance anomaly:
CPU above the expected
(green) range
Strobe investigates and
analyzes the application
The user receives a mail
with link to Strobe’s
investigation result
Use cases
• Example scenarios in which ConicIT runs
Strobe investigation automatically
• CPU of CICS is higher than expected
• Transaction rates of CICS is higher than expected
• Transaction rates of CICS is lower than expected
• CPU or IO of a Started task is higher than expected
• CPU of any job is too high
• Specific transaction CPU, response-time, or
transaction-rate is higher than expected
• The rate of specific transaction is lower than
expected
Benefits
• Early detection of performance
problems
• Strobe will run only when a problem is
reliably recognized, and every time it
happens
• Strobe investigation will run exactly
when the problem exists and not too
late
• 24/7 automatic detection and analysis.
Results will wait for your inspection

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Strobe & Strobe integration

  • 1. ConicIT & Compuware’s Strobe synergistic solution Automatic detection and analysis of applications problems
  • 2. The Problems that we solve • Catching and analysis of applications bugs can be hard: – How to detect problems at early stage – How to run Strobe powerful analytic tool exactly when the problem exists – What if the problem appears at night? Who will run Strobe analysis? – Does high CPU necessary means application problem? How to detect that there’s a real problems?
  • 3. The Vision Automatic detection of applications problems, which triggers automatic deep investigation of the application.
  • 4. The Building Blocks - I ConicIT • Automatic detection and alerts about anomalies that reflects mainframe performance problems • Connects to your mainframe’s performance monitors once a minute and reading thousands of performance metrics • Presents all the data and graphs in a friendly and aggregated format on your web-browser • Using machine learning to study the normal behavior of your mainframe, and to automatically detects anomalies and problems and to alert about them.
  • 5. ConicIT recognizes that CPU of 10.98% for PSYCICS7 started- task is too high compared to the expected range for that time (the green stripe). ConicIT automatically starts Strobe to investigate the anomaly of the job’s CPU.
  • 6. The Building Blocks - II Compuware Strobe • Deep profiling and investigation of performance problems • Runs on specific job-name, and possibly focusing on specific transactions • Quickly pinpoint the source of application inefficiencies. • Allows to improve user code efficiency, transaction response time and throughput.
  • 7. The integrated solution • ConicIT automatically detects performance problems and anomalies • ConicIT Activate strobe on the relevant job and transaction, just on time, 24/7 • Strobe is investigating the job and create reports that gives you all required information to figure the root cause • Strobe is sending you an email, with link to the result of the investigation
  • 8. The integrated solution ConicIT detects performance anomaly: CPU above the expected (green) range Strobe investigates and analyzes the application The user receives a mail with link to Strobe’s investigation result
  • 9. Use cases • Example scenarios in which ConicIT runs Strobe investigation automatically • CPU of CICS is higher than expected • Transaction rates of CICS is higher than expected • Transaction rates of CICS is lower than expected • CPU or IO of a Started task is higher than expected • CPU of any job is too high • Specific transaction CPU, response-time, or transaction-rate is higher than expected • The rate of specific transaction is lower than expected
  • 10. Benefits • Early detection of performance problems • Strobe will run only when a problem is reliably recognized, and every time it happens • Strobe investigation will run exactly when the problem exists and not too late • 24/7 automatic detection and analysis. Results will wait for your inspection