Summary: In the final part of this series, you'll learn how to use key performance indicators (KPIs) and reports to do monitoring and performance analysis with WebSphere® Lombardi Edition.

Overview:
Part 1 of this series gave you an overview of the features and architecture of WebSphere Lombardi V7.1 (hereafter called Lombardi). In Part 2 you learned how to use the most common features of Lombardi, including business process definition (BPD), and integration, human and rule services, to model the sample process. In Part 3 you learned how to use some advanced features of Lombardi to enrich to meet more complex requirements, including nested processes, milestones, event mechanisms, exception handling and Lombardi web services exposure. Part 4 covered how to use Lombardi Coaches to build human services. In Part 5, you learned about advanced Coach features, such as dynamic data binding and the runtime rendering mechanism, as well as how to customize the Coach.

In Part 6, you'll learn how to use KPIs and and reports to do monitoring and performance analysis. The data that Lombardi tracks and stores for KPIs enables you to analyze process performance, as well as create service level agreements (SLAs). When you run instances of a BPD, Lombardi tracks and stores data for configured KPIs in the Performance Data Warehouse. Lombardi uses the stored KPI data to run certain types of historical analyses in the Optimizer.

You can import and unzip the Lombardi export file provided in the Downloads section to quickly go through the whole scenario for KPI, SLA and reporting.