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Optimizing IT operations with 360 application views

Janet is a Vice President of IT operations. She wants to understand the overall health of applications across various performance vectors, such as incident and problem volumes, change success rates, outage, and downtime durations, failed and stalled transactions, and user performance of key transactions, as it gives a composite picture of application operational health.

Janet also wants to know if there are specific carrier or location issues that may affect certain geographies. She may even want to track all applications to see problem spots and systemic issues that has business impact. So, she logs in periodically (weekly or monthly) to get consolidated views of overall applications' performance and their impact on Lines of Business and associated revenues.

The main goal of Janet is to indicate if IT operations are on track to fulfill the needs of businesses while IT operational processes and teams are working at optimal productivity and cost.

Following are some examples of areas that contribute to an understanding of overall application health:

• What was the user and business impact of the most critical outages and problems as measured by browser user response times and active user session volumes?
• What were the mobile request response times (sec) and mobile crash rates and their impact on reported user incidents and mobile app usage?
• Were changes successful and did not cause user impact or an uptick of user reported Incidents?

Generating a report

To analyze the overall health of applications due to outages and problem with respect to end user performance across geographies, perform the following procedures:

Prerequisite: Ensure that you have logged into Digital.ai Intelligence Applications using appropriate credentials.

1. In the right panel of a visualization editor, select the required visualization option.

   In this example, a bar chart is used. For more information on dossiers, refer Dossiers

2. From the DATASETS panel:
   1. Drag and drop the following attributes to the horizontal field of the visualization editor:
      1. Application Name
      2. Browser Name
      3. Location
      4. Device Type - Mobile

3. From the top navigation panel, click and select Existing Dataset.

4. From the Select Existing Dataset window, select the required datasets. For example, iCubes, Shared Insights.

   In this example, Change, Outage, Problem, Summary, and Mobile Application Summary iCubes are selected. The selected dataset is added to the DATASETS panel.

   For more information on Monitor attributes and metrics, refer the Digital.ai Intelligence Applications User Documentation.

5. Drag and drop the following metrics to the vertical field of the visualization editor:
   1. Browser User Sessions
   2. Mobile Request Response Time (sec)
   3. Mobile Crash Count
   4. App Response Time- App Tier (sec)
   5. Successful Changes
   6. Planned Outages
   7. Overdue Problems %

6. Drag the Location attribute and drop it into the Break By and Color By sections.

7. In the Break By section, select the Stacked option to change the way location is represented by application and browser operating system.

Analyzing the report

Using the report, Janet can understand the overall impact on application's health during an outage or known problem, or implementation of a change.

• Understand percentage of mobile crash count for multiple applications by location
• Understand percentage of overdue problems and their impact on performance across in browser and mobile devices by location
• Gain visibility into the percentage of overdue problems and their impact on browser and mobile type