In my opinion one of the hardest thing to do by any system admin is to pin point the exact cause of performance bottleneck. Many of us struggle to do this. This post will help to get started with some basic performance monitoring and troubleshooting. The post contains some of the excellent videos by Brenden Gregg. Gregg is one of the leading experts on DTrace and creator of the DTraceToolkit.
What Linux can learn from Solaris performance and vice-versa What Linux can learn from Solaris performance and vice-versa Brendan Gregg Lead Performance Engineer brendan@joyent.com @brendangregg SCaLE12x February, 2014; Linux vs Solaris Performance Differences DTrace libumem Symbols Microstate futex Accounting Up-to-date Mature fully packages preemptive Applications CPU scalability likely.
The uptime command gives us the load averages along with the system uptime information. The uptime command gives the 1 minute, 5 minute and 15 minute load averages which signifies how much is the overall CPU utilization.
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The mpstat command is used to check how the load is balanced across CPUs and what is the load on each CPU. Synthogy ivory ii italian grand. The video explains about the key fields in the output of mpstat and how to interpret them to analyze a performance issue.
The 2nd video in the mpstat series goes through the remaining fields in the mpstat command output.
The 3rd part in the mpstat series goes deeper in the analysis of the mpstat command output and how to use it with dtrace to dig deeper into a performance issue.
The vmstat command is used to report virtual memory statistics and getting information about CPU load, paging and system interrupts. The video discusses the key fields in the about of vmstat command and how to interpret them.
The 2nd part in the vmstat series goes through all the fields in the vmstat command output and how to analyze them to troubleshoot a performance bottleneck.
The 3rd part in the vmstat series diggs deeper into the virtual memory statistics and troubleshooting virtual memory bottlenecks along with some other tools like prstat.
Unfortunately, Brenden does not have a video explicitly on the usage of sar and prstat for performance monitoring and troubleshooting. But he has well explained it, how to use them along with the other tools discussed above.
Here is an another video by Gabriel Smith that I would like to share on how to do basic performance troubleshooting in Solaris.
I hope the post will help you guys with getting started with performance troubleshooting on a solaris machine. Do comment me back if you have any other good references which I can include in the post.
Java Runtime Environment (JRE) is a set of tools used to develop Java applications. JRE typically includes a combination of Java Virtual Machine (JVM), Java class libraries, and a class loader. Automatic memory management—one of the prized features of JRE—makes it virtually impossible for developers to know what's happening inside the memory.
Because of this 'black-box effect,' tracking the source of performance bottlenecks is challenging. This highlights the importance of Java monitoring to ensure constant availability and maximum uptime of Java infrastructures. Applications Manager's comprehensive Java monitoring capabilities provide visibility into key performance metrics and help track them in real time to help optimize your applications.
Applications Manager Java performance monitor tracks a variety of metrics including JVM memory, garbage collection (GC), threads, etc. for thorough Java performance monitoring. The performance of Java applications mainly depends on two parameters:
Memory consumption is a parameter that requires constant monitoring. Applications Manager's Java memory monitoring capabilities allow you to monitor both physical (CPU, disk) and virtual (JVM) memory consumption. Exhausting your JVM memory will lead to latency or, even worse, system crashes.
Applications Manager's Java performance monitoring tool provides details about JVM memory with extensive stats and division of heap and non-heap memory like Eden Space, survivor space, Tenured Gen, PermGen, and Code Cache. Apart from JVM monitoring, you can also perform garbage collection, and generate thread and heap dump remotely with Applications Manager's JVM monitor.
Java applications perform automatic memory management, a process referred to as garbage collection, which collects JVM objects that are no longer needed to make space for new objects. Monitoring garbage collectors is essential for optimal generation sizing and allocation of objects. Applications Manager's JVM monitor provides you with a summary of the garbage collection process and specific collector stats.
Learn how Applications Manager can satisfy all your Java monitoring needs. Schedule a personalized demo today.
Java exhibits asynchronous behavior through parallel processing. Issues arise when the threads that are working side by side need to access the shared data pool, resulting in deadlocks or incorrect program data. With Applications Manager's Java performance monitoring tool, perform thorough Java thread monitoring and tracks crucial thread attributes like Total Threads Started, Peak Threads, Live Threads, Runnable, Blocked, Waiting, Timed Waiting, Daemon Threads, and Deadlocked Threads. You can also view the thread dump history of the Java machine, which gives you the status and essential details about all the threads.
In addition to Java monitoring, Applications Manager also monitors J2EE web transactions. Applications Manager's APM Insight agent translates how your Java applications behave on the end user's side and provides visual representations of J2EE transactions from URL to SQL components. It also enables you to measure your client's satisfaction with APDEX scores, and trace transaction errors back to their origins.
Applications Manager's Java performance monitoring tool comes with an extensive fault management system to make resolving issues easy. With help from the root cause analyzer, you can drill down to the source of problems, and troubleshoot them with ease.
Applications Manager's JVM monitoring capability lets you configure threshold values for attributes, and receive notifications when there are deviations from standard behavior. Setting up anomaly profiles can help you identify gradual performance degradation, so you can take action before end users are affected. Applications Manager's Java monitoring tool also enables you to associate actions to the thresholds and anomaly profiles that will be automatically performed upon a breach.
Applications Manager's Java monitoring tool utilizes analytical details to perform historical and predictive analysis of Java performance with the help of reports. While trend analysis reports allow you to compare and analyze historical performance trends based on hourly/daily/weekly reports and heat charts, forecast reports employ machine learning techniques to predict growth and utilization trends in the future.
Unlike most Java performance monitoring tools, Applications Manager Java application monitoring tool also offers statistical reports to help you gain visibility into how various command line parameters and garbage collection algorithms impact the Java application performance.