Thomas W. Conti

Abstracted, extensible cloud access of resources

Standardizing customer and test data and information collection for run time and historical profiling environments and workload comparisons

Using run-time and historical customer profiling and analytics to determine and score customer adoption levels of platform technologies

Using run time and historical customer profiling and analytics to iteratively design, develop, test, tune, and maintain a customer-like test workload

USING CUSTOMER PROFILING AND ANALYTICS TO CREATE A RELATIVE, TARGETED, AND IMPACTFUL CUSTOMER PROFILING ENVIRONMENT/WORKLOAD QUESTIONNAIRE

Using customer workload profiling and analytics to understand and visualize customer workload execution

Using customer profiling and analytics to more accurately estimate and generate an agile bill of requirements and sprints for customer or test workload port

Standardizing run-time and historical customer and test environments and workloads comparisons using specific sets of key platform data points

Using customer profiling and analytics to understand customer workload complexity and characteristics by customer geography, country and culture

Determining if customer characteristics by customer geography, country, culture or industry may be further applicable to a wider customer set

Using customer and workload profiling and analytics to determine, score, and report portability of customer and test environments and workloads

Using run time and historical customer profiling and analytics to determine customer test vs. production differences, and to enhance customer test effectiveness

Using customer profiling and analytics to understand, rank, score, and visualize best practices

USING BEST PRACTICES CUSTOMER ADOPTION BUSINESS INTELLIGENCE DATA AS INPUT TO ENTERPRISE RESOURCE PLANNING (ERP)

Z/OS SMF record navigation visualization tooling

Measuring and optimizing test resources and test coverage effectiveness through run time customer profiling and analytics

Measuring and optimizing test resources and test coverage effectiveness through run time customer profiling and analytics

USING WORKLOAD PROFILING AND ANALYTICS TO UNDERSTAND AND SCORE COMPLEXITY OF TEST ENVIRONMENTS AND WORKLOADS

Using workload profiling and analytics to understand and score complexity of test environments and workloads

Using run time and historical customer profiling and analytics to determine customer disaster recovery vs. production differences, and to enhance customer disaster recovery readiness and effectiveness

Using run time and historical customer profiling and analytics to determine customer disaster recovery vs. production differences, and to enhance customer disaster recovery readiness and effectiveness

Using customer profiling and analytics to understand customer environment and workload complexity and characteristics by industry

Using customer profiling and analytics to understand customer environment and workload complexity and characteristics by industry

Run time and historical workload report scores for customer profiling visualization

Run time and historical workload report scores for customer profiling visualization

Run time test workload customer profiling baselines visualization

Run time TPNS workload controls for test workload tuning in relation to customer profiling workload

Using test workload run facts and problem discovery data as input for business analytics to determine test effectiveness

Using test workload run facts and problem discovery data as input for business analytics to determine test effectiveness

Run time automatic workload tuning using customer profiling workload comparison

Run time workload threshold alerts for customer profiling visualization

Visual test workload execution modeling

Z/OS SMF/RMF workload data playback with web dashboard visualization

Run time automatic workload tuning using customer profiling workload comparison

Run time test workload customer profiling baselines visualization

Run time workload threshold alerts for customer profiling visualization

Visual test workload execution modeling

RUN TIME SMF/RMF STATISTICAL FORMULA METHODOLOGY FOR GENERATING ENHANCED WORKLOAD DATA POINTS FOR CUSTOMER PROFILING VISUALIZATION

Method, system, and storage medium for using comparisons of empirical system data for testcase and workload profiling