This video provides an overview of the Enterprise Visualizer dashboard, explaining how to use Health Scores, trending metrics, user experience impacts, and activity data to understand the overall health and performance of the environment.
Video Transcript
The Dashboard view is where we will start, but each of these Visualizer tools has a list of use-case-specific observations related to narrower views of your summarized data. Once we look at the biggest picture, we will start to drill into more detail.
The first graphic that we see on the dashboard is the User Experience Summary chart. By default, it shows us our overall Health Score averaged over the past 30 days because we are looking at summarized data. This doesn't tell me how my computers are looking right now, but rather how they have performed on average over the last 30 days. We have other tools to hone in on immediate data, and we'll be looking at them later in this Fast Start training. In my demo environment, I can see that my overall User Experience Score looks pretty good. This tells me that in the last 30 days my systems have been performing well overall, since this falls within our range for a health rating of Good. Below, it breaks that down into the percentage of users that fall within the different rating levels of Excellent, Good, Fair, or Poor.
The next two sections in the Enterprise Visualizer dashboard are best explained together. The Trending Health Metrics graph shows us the daily average as a trend line over the last 30 days. It defaults to Health, but we can click on the dropdown menu to see the different health-related metrics. The Current Top Five User Experience Impacts chart shows you what percentage of the overall impact to your systems is caused by each key performance indicator. In my demo environment, virtual memory seems to be the biggest cause of impact, so I can change my Trending Health Metric to Virtual Memory and see that I had a big spike. Maybe I already know why we had an issue that day, and since it is no longer a problem, I don't need to worry about it after all. So I'll switch my metric to my second-highest impact, CPU.
The next two sections also work together to give us an analysis of how data has been trending. The Trending Analysis grid serves as a roll call of sorts, giving us the average value of some common metrics. Clicking on one of those categories changes what we see in the Trending Details graph. We can see that the total user count hasn't changed much over the last 30 days, but we have seen some ups and downs in the number of distinct faults occurring.
The last graph on the dashboard shows us when our users are using their systems. In a typical week, the label at the top left of the graph tells us when our peak concurrency occurred.