Select a synthetic monitor in the Synthetic monitors page to open the Synthetic details pagewhich provides an overview of execution results, their visualization, and monitor properties. Powered by the Dynatrace AI engine Davis, the Synthetic details page shows you at-a-glance information and graphs, with ready filters to drill right down to problem details or the waterfall for a failing action in a specific execution.
In the very top panel you can choose between visualizations of your monitor's availability or performance by selecting the left or right infographic, respectively. The performance view is customized to show a key performance metric along with Total duration. You can also scroll through reference screenshots for each of your monitor's script events.
You select a key performance metric in monitor settings in edit mode. Click the Browse button in the top-right corner to access controls to EditDeleteor Disable the monitor. You can also view reports for browser monitors. Click Analyze synthetic sessions to see the User sessions page. You can then optionally view the tile in the dashboard in edit mode.
Click the availability box on the left to view a visualization of the monitor's availability for the global timeframe. If the monitor violates an availability thresholdglobal or local defined in monitor settingsthe box appears in red. The graph shows availability for the global timeframe for each monitor location.
You can sort locations by Location name, Cloudor Availability. Time periods with availability outages are blocked in red. Hover over any of the bars to view availability at a given point in time for that location. Click any location name to see the Analysis page showing details of individual data points filtered by that location; or click Analyze availability to see data points for all locations. Click the box on the right to view a visualization of the monitor's performance for the global timeframe.
If the monitor violates a performance thresholdwhether for the sum of all actions or individual actions, the box appears in red. In addition to Total durationyou see average key performance metric such as Visually complete timings for load actions and XHR actions.
Key performance metrics enable you to choose performance goals that best fit the variable needs of each application you monitor.
For example, you might want to choose User action duration to optimize the performance of a traditional web application.Hi I am doing a memory leak analysis for a customer and this is really giving us a hardtime. We can see through the memory dashboards from the Java process that OLD Generation memory consumption increases repeatedly until we have to restart the process. In that regard this night I was able to run a full memory leak analysis Memory Dump after collecting several Memory Trending dumps.
What I can see is that there is a huge growth on the on the char and string instances, but none of them a referenced by applicatoin classes. I can also see that the VMRoot shows 8. Followed by some framework classes and them LifeRay specific classes. I also can see loads of PortletServlet requests 13, to be pricesily all of them with around KB.
In that regard I am not sure, but maybe I should require LifeRay support to further investigate this. What else can I do on this to get to a better understanding?
Attachments: Up to 10 attachments including images can be used with a maximum of Answer by Igor S. Thank you very much for your advise on this. I am in touch with LifeRay team and with the developers from our customer. Answer by Andreas G. Thanks for sharing. Seems like a caching issue with Liferay. I think you have enough information to approach the Liferay team. Get their opinion on how it is possible that you have 2. Maybe there are some cache settings that you can tweak so that some of these items are cleared earlier.
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Question by Igor S. Following the direct references I can see the following: I also can see loads of PortletServlet requests 13, to be pricesily all of them with around KB, With this content: In that regard I am not sure, but maybe I should require LifeRay support to further investigate this. Any advice would be great. Thanks in advance, Igor. People who like this.
Current Visibility: Viewable by all users. Andy, Thank you very much for your advise on this. I'll update this question with our findings. WaiKeat C. Gerald F. Hi Igor Thanks for sharing. Maybe there are some cache settings that you can tweak so that some of these items are cleared earlier andi.
Florian O. Learn more. Follow this Question. Answers Answers and Comments 23 People are following this question.The Total Memory dashlet provides snapshot information about currently allocated objects, regardless of their connection to recorded PurePaths or to configured memory rules. Total memory snapshots belong to one of the following two types:. Memory Consumption Trending : These contain information about classes, instance counts and shallow sizes.
Deep Memory Leak Analysis : These contain information about classes, the individual instances, references between instances and the individual instances GC size.
Your application will be unavailable for this time. See Memory Diagnostics for more information. The upper pane of the dashlet displays all snapshots of the corresponding system-profile, grouped by Agents. By default, the table contains the following information for each snapshot:.
Additionally, the upper pane of the dashlet contains a Task tab, listing all Memory Snapshot tasks.
This option only appears when an agent or nothing is selected in the upper table of the dashlet. If you select an existing snapshot, an overview of the snapshot appears.2007 ford pick up fuse box
If you select multiple snapshots, a chart appears that compares the overview data. Memory Snapshots initiated by this dialog box are performed by tasks in the Tasks tab. Trending Snapshots can be paused or stopped there using the context-menu. If an existing snapshot which is already post-processed is selected in the upper pane, overview information of the corresponding snapshot is presented in the individual tabs in the lower pane as depicted in the following figures.
When selecting a non-post-processed snapshot, a button in the lower-pane allows to post-process it. This tab shows general information regarding the Heap usage at the time the snapshot was created, including maximum Heap size, currently used and committed memory, the number of Classes and in case of an Leak-Analysis snapshot the number of Objects and References. CLick the Show Classes button to open the Memory Snapshot content, including all classes and instances.
Click the Show Strings button to show all Strings contained in the snapshot. This is only available if enabled during snapshot creation. This does not necessarily suggest a problem with native memory, but highlights the possibility of such a leak. Native memory leaks often occur when UI resources are not closed correctly or when a problem with native buffers exists. The tab shows the potentially top interesting objects in the Memory Snapshot.
A Hot Spot thus 'accumulates' a lot of other objects. Hot Spots are not ordered by their GC size but by the difference of their size to maximum size of an objects children.Conv_sem_uma_2019: pedagogia speciale
For further HotSpot analysis such as the objects it keeps alive, right-click on it and select the corresponding drilldown. Collections and Maps are shown in a separate tab since they are very frequently the root-cause of a memory leak.
Similar to the other tabs, use the context-menu for further analysis of the individual objects. As for the other tabs, the context-menu allows to drill-down to further analysis dashlets.The goal of any Java memory analysis is to optimize garbage collection GC in such a way that its impact on application response time or CPU usage is minimized.
It is equally important to ensure the stability of the application. Memory shortages and leaks often lead to instability. To identify memory-caused instability or excessive garbage collection we first need to monitor our Java application with appropriate tools.
If garbage collection has a negative impact on response time, our goal must be to optimize the configuration. The goal of every configuration change must be to decrease that impact.
Finally, if configuration changes alone are not enough we must analyze the allocation patterns and memory usage itself. So let's get to it. The Oracle JDK also includes jStatwhich enables the monitoring of memory usage and garbage-collector activity from the console, and Java VisualVM or jvisualvmwhich provides rudimentary memory analyses and a profiler. Each JVM vendor includes its own monitoring tools, and there are numerous commercial tools available that offer additional functionality.
Memory shortage is often the cause of instability and unresponsiveness in a Java applications. Consequently, we need to monitor the impact of garbage collection on response time and memory usage to ensure both stability and performance. However, monitoring memory utilization and garbage collection times is not enough, as these two elements alone do not tell us if the application response time is affected by garbage collection.
Only GC suspensions affect response time directly, and a GC can also run concurrent to the application.Clint hopping bio
We therefore need to correlate the suspensions caused by garbage collection with the application's response time. Based on this we need to monitor the following:. The JVM memory dashboard Figure 2. This means that there is no memory leak and the cause of the growth is prematurely-tenured objects. The young generation is too small to cope with the allocations of the running transactions. These so-called minor GCs are often ignored and thought to have no impact.
The JVM will be suspended for the duration of the minor garbage collection; it's a stop-the-world event. Minor GCs are usually quite fast, which is why they are called minor, but in this case they have a high impact on response time.
The root cause is the same as already mentioned: the young generation is too small to cope. It is important to note that it might not be enough to increase the young generation's size.
A bigger young generation can accommodate more live objects, which in turn will lead to longer GC cycles. The best optimization is always to reduce the number of allocations and the overall memory requirement.
Of course, we cannot avoid GC cycles, and we would not want to.The Java memory model - or garbage collector GC - solves many memory problems.
However, new strains of memory leaks pop up constantly. Many applications simply consume too much memory or thrash the GC. To review the memory analysis process. Analyze your memory whether you have problems or not. You can save a lot CPU and memory with less garbage collection.Fuzzdb
Use easyTravel to simulate memory problems and analyze them. Monitor the memory trends when you run your application with or without load. If the memory increases continuously, you should analyze this. See the attached session of this tutorial for more information.
The Memory Leak Problem pattern displays a growing memory demand. When you monitor the memory, keep an eye on the GC behavior. This is due to suspensions. See Memory Problems on the Performance Wiki for more information.
Memory increases for two reasons: A bad GC memory setting or an application problem. The application problem is either a memory leak or one of the several other memory problems.
If the memory is consistently high, with GCs, but no OutOfMemory errors, analyze the constant high memory usage.White wardrobe
Identify how GC impacts your response time. If memory increases and you get an Out Of Memory Errortry to pinpoint memory leaks. They may be incorrect. If you have many GCs and volatile memory, but your GC settings are correct, your transactions may consume too much memory. Analyze the transaction memory usage. The Total Memory dashlet appears.
Memory Leak Analysis
To find a memory leak, or something else that consumes memory, but is not load dependent, select the Force Garbager Collection before creating snapshot check box selected by default. If an application does not perform optimally and does not garbage collect properly, clear the check box. This example forces the GC. Look at the hotspot to see what holds most of the memory in the JVM.
Use this view to look for memory leaks or to understand which objects keep most of the objects alive.Memory dumps are first stored locally on the disk of the monitored application-server machine. OneAgent can subsequently upload the memory dumps automatically to an ActiveGatewhich can act as a long-term storage center for memory dumps.
The provided download links direct you to the ActiveGate that received that memory dump. This approach ensures that memory dumps are only available to users who have access to the network location of your ActiveGate.
This precaution provides an additional security layer that ensures that no personal data leave your data center without you explicitly configuring it that way.
Dynatrace can store and analyze memory dumps for Java and Node. Since OneAgent version 1. NET based applications on Windows. To enable memory dumps, you need to appropriately configure an ActiveGate. Navigate to the Host page, Service page, Process page, or Process group page of the entity that you want to analyze.
Click the Browse [ … ] button and select Memory dump details. The Memory dumps page displays a list of the memory dumps that occurred during the selected timeframe for the selected entity host, service, process, or process group. To trigger a memory dump first select the process. It takes a few minutes to generate a memory dump.
The time required varies widely based on application type. Java applications that have multiple GBs of heap memory may take several minutes; smaller dumps will be available almost immediately. For this reason, your JVM may stall during memory-dump generation. Please restart your Java-based application following trigger of a memory dump. Return to the Memory dumps page.
The newly created dump now appears in the list.
Click the memory dump Download link to view the memory dump see example below.Java harnesses the power of garbage collection to automatically keep application memory clean and healthy. However, it is not enough to keep away memory leaks. The best practice is to check your app for memory leaks even before you put it into production. As an initial indicator, check the garbage collection metrics. Select Technologies from the navigation menu and click on a Java-based technology tile.
From the process group list appearing beneath, expand the process group you want to examine and then click Process group details. Here you can analyze technology-specific metrics by selecting the respective tab.
These graphs indicate a provoked memory leak. In reality, memory consumption does not rise as linearly as in the Old Gen graph. Also, neither GC Suspension times nor Eden and Survivor space usage act as indicators for memory leaks.
In addition to identifying some frequently used internal Java classes, you may be able to identify some of your own classes. Upcoming memory issues might manifest themselves in the form of high garbage collection times.
A memory leak combines the problems of too small heap size with the problem of too large heap size. GC is triggered frequently and takes longer before the JVM crashes with an out-of-memory error.
Analyzing Java Memory
Infrastructure monitoring. Digital experience management. Digital business analytics. Customer stories. Our reinvention. Accelerate Software Delivery. Automate Cloud Operations. Free trial. Get started What is Dynatrace?Garbage collection in Java, with Animation and discussion of G1 GC
Monitor key requests Create custom charts based on request attributes Monitor 3rd party services Adaptive traffic management and control Databases Introduction How database activity is monitored Support for SQL bind variables Analysis Analyze database services Improve database performance Top database statements Database service backtrace Oracle database insights Process groups Basic concepts Which are the most important processes?Spark ar random image sequence
What technologies underlie individual processes? Configuration Set up process group monitoring Customize the structure of process groups Customize the names of process groups Define your own process group metadata Monitoring Overview of all technologies running in your environment Analyze processes Analyze process responsiveness Process group availability monitoring and alerting Monitor process-specific network connections Hosts Basic concepts Get started with infrastructure monitoring How effective is infrastructure monitoring on its own?
Configuration Organize your environment using host groups Set custom host names in dynamic environments Define tags and metadata for hosts Monitoring Measures for host health Where can I view host performance measures?
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