Geplaatst: 29 March 2022

We have a new introduction video of the ADF Performance Monitor (3:40 minutes) ! It gives a quick introduction on the product.

Geplaatst: 15 July 2020

Last week I blogged in part 1 on our major new version of the ADF Performance Monitor – version 9.0. It was about monitoring the CPU load of the JVM process and of the whole underlying operating system. It was also about the total used and free physical (RAM) memory of the whole system, and the Linux load averages that provides an excellent view on the system load.

This blog (part 2) describes more new features. The CPU execution time of individual HTTP requests and click actions is now available. “What request/click action in the application is responsible for burning that CPU ? ” That question you can now answer with the monitor. The monitor gives a clear indication how expensive certain HTTP requests and click actions are in terms of CPU cost. Further we added browser (user-agent) metrics for each request. We also improved the ADF callstacks (snapshot that gives visibility into which ADF method caused other methods to execute, organized by the sequence of their execution and execution times).
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Geplaatst: 8 July 2020

I’m very excited to announce that we have a major new version of the ADF Performance Monitor – version 9.0 !

We have added many valuable new features; new metrics that can detect and help explain poor performance, disruptions, hiccups, and help troubleshooting ADF applications. Like operating system metrics: the CPU usage of the ADF application, the total CPU usage of the whole underlying operating system, the total used and free physical (RAM) memory of the whole system, and the Linux load averages. A high CPU usage rate and memory usage may indicate a poorly tuned or designed application. Optimizing the application can lower CPU utilization. Generic APM tools have these kinds of metrics too in some way, but the combination of system metrics with ADF specific metrics of the ADF Performance Monitor makes it even more possible to relate performance problems.

Another reason to pay attention to system metrics is that nowadays more and more applications are deployed on the cloud. Very likely there will be shared virtual machines and resources (CPU, memory, network). Applications and processes could influence each other if frequently other processes have a very high usage of the available CPU or memory capacity.

This blog (part 1) describes the first part of these new features. Part 2 describes the CPU execution time of individual HTTP requests and click actions. It answers the question: “What request/click action in the application is responsible for burning that CPU ? (Lees meer..)