International Business Machines Corporation

Peng Peng Wang

Yang Yang

Rui Liu

Jin Shan Li

Zhi Peng Liu

Li P Li

Dang E Ren

Managing real-time monitoring alerts is provided. An alert is generated for one or more metrics exceeding corresponding defined metric threshold values. A root cause dependency table showing relationships between alerts is retrieved. It is determined whether current real-time metrics are needed from one or more monitoring agents that correspond to dependent alerts not triggered in an alert chain of the generated alert based on information in the root cause dependency table. In response to determining that the current real-time metrics are needed from the one or more monitoring agents that correspond to the dependent alerts not triggered in the alert chain of the generated alert based on the information in the root cause dependency table, the current real-time metrics are requested from the one or more monitoring agents that correspond to the dependent alerts not triggered in the alert chain.

Real-time monitoring alert chaining, root cause analysis, and optimization

Embodiments of the present invention provide a method, system and computer program product for concurrent workload simulation for application performance testing. In an embodiment of the invention, a method for concurrent workload simulation for application performance testing is provided. The method includes loading a list of recorded workloads for different tasks of a computing application under test in a workload simulator executing in memory by at least one processor of a host computer. The method also includes grouping the recorded workloads by common task in a corresponding block. Finally, the method includes generating loads for simulating performance of the computing application under test from the grouped workloads so as to require serial execution of workloads in a common block in order of appearance in the common block, but to allow concurrent execution of workloads in different blocks.

Concurrent workload simulation for application performance testing

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Beijing, China

Peng Peng Wang