IntelliMagic Vision supports the WebSphere Application Server for z/OS transaction logging records (SMF 120 subtype 9), enabling you to track transaction response time and resource consumption. These records provide detailed transaction-level metrics on where the work runs and the nature of the work, including processor consumption, transferred bytes, and response times.
IntelliMagic Vision enables performance analysts to manage and optimize their WebSphere Application Server environment more effectively and efficiently.
Prevent risks, save time, and optimally configure your environment.
Technical specialists responsible for the health of WebSphere applications need performance-management level data to supplement deep-dive APM solutions and monitors. Understanding the overall environment and workload characteristics and the ability to drill down to narrow a problem space are extremely helpful.
IntelliMagic Vision enables you to:
IntelliMagic Vision offers you the out-of-the-box visibility and intuitive navigation to manage every component of your z/OS infrastructure under a single solution, facilitating collaboration across teams that have historically been isolated by siloed tool sets.
Business and Technical Management alike need to see their workloads in terms that are meaningful to them, and a picture is worth a thousand words.
Easily share charts and dashboards of CPU consumption and transaction rates of different WebSphere application workloads over time to facilitate communication and planning between Business and IT.
Capacity planners are the bridge between lines of business and deep-dive product specialists. They need easy-to-produce and easy-to-consume data at a business workload level, including peak requirements and trends over time.
Constantly evolving business plans may require various levels of granularity, from Cell all the way down to URI, or anything in between. IntelliMagic Vision provides tremendous flexibility to report any of the provided WebSphere metrics at the level you need.
Understanding typical behavior for your applications helps you recognize when changes occur that could lead to problems if left unchecked. Therefore, it is very useful to profile your workloads over time.
This view shows the overall WebSphere transaction rate by Cell, over the course of a single day.
One Cell clearly dominates. Is that typical? You could easily change the timeframe to trend over multiple days/weeks/months to find out.
Easily navigate from a big-picture understanding down to granular level details with built-in single click drilldown capabilities. This chart is another predefined report showing the same overall transaction rate as before, only now broken down by Cluster.
Similar pre-defined charts are available to view down to Node, Server, Servant, Transaction Class, Request Type or URI levels of granularity.
Viewing the overall transaction rate and response times in the same view lets you quickly narrow the problem space in case of issues, or profile your workloads for trending analysis.
You also see the response time breakdown into components such as Time to Dispatch delay in the yellow spikes. As with all the other data shown here, this could be as granular as you want, all the way down to the individual URI level, as well as profiled over days/weeks/months.
When problems with an application occur, you need data specific to that application to help troubleshoot the issue. In WebSphere, that means data at the URI level.
Here is the same chart for a specific URI experiencing most of the Time to Dispatch delay. This is the result of several “clicks” to drill down from the overall WebSphere environment data, highlighting the power of starting at a high level and diving deeper to understand an issue.
Viewing the general-purpose CPU time and zIIP time for a specific Cell gives you great flexibility for resource optimization efforts, problem analysis or capacity planning.
You also see any time spent on a CP that was zIIP eligible. Again, this can be shown at all the levels of granularity mentioned above, across any timeframe you have data stored.
Easily understand the impact of planned and unplanned changes with a built-in, intuitive compare function.
In this example we show MBs of data sent/received for each Cell, comparing one day to another. If you made an application change and expected less data transmission for the D4 cell, you can now verify and quantify the benefit. If you did not expect a change, you have something you need to investigate.
Easily switch from chart views to tabular views to suit your preferences and digest data in ways more relevant to your immediate task at hand.
This is a predefined report with key transaction metrics by Transaction Class. As with any other report, you can customize this to suit your needs. Here we see the key metrics of CPU time, transaction rates and response times, along with more detail such as number of failed transactions, CPU/transaction and data sent/received.
Have questions about our WebSphere features or comprehensive z/OS infrastructure support? Want to see a demo with your live data or start a free trial? Our experts are more than happy to answer any questions you have!
