performance profiling

High-performance ASP. NET Site build series Article Directories Use of CLR counters We use the built-in performance monitoring tool to track and monitor the garbage collector. Next, we will first introduce several common CLR performance monitoring counters. We generally look at the counters under the. net clr Memory category: Percent Time in GC

Powerful performance optimization tools you may ignore in PHP: generators and powerful performance optimization tools Preface If you are a Python or other language partner, you should be familiar with generators. However, many PHP developers may not know the generator function. It may be because the generator is a function introduced by PHP 5.5.0, or the generator does not play a significant role. However,

2.2 and 2.4 cores. --start Use the parameters set by--setup or start data collection using parameters saved in the/ROOG/.OPROFILE/DAEMONRC file (profiling sampling). If you perform the--verbose option, the background service generates a lot of debugging information. --dump Forces the collected sampled data to be written to the background service. --stop Stop data collection (This step does not apply in the 2.2, 2.4 kernel). --shutdown Stop data acqui

Tags: Performance Analysis Starting from kernel 2.6.31, the Linux kernel comes with a performance analysis tool perf, which can be used for function-level and command-level hotspot searches. Perf Performance analysis tools for Linux. Performance counters for Linux are a new kernel-based subsystem that provide a framew

First, performance detection and bottleneck analysis 1 common commands for performance detection Show status Display status information, reference: Mysql Show status Command detailed Show Processlist View current SQL execution, including execution status, whether to lock the table, etc., reference: Mysql show processlist Command detailed Show variables Display system variables, reference: Mysql Show

are optimized to maximize performance for the application. Run-time profiling data can help the compiler get more optimized decisions online, further improving the efficiency of code execution. With more and more accurate code profiling data, we can find more optimization points to make better optimization decisions, such as how to better sequence instruction, w

How to use SQL Profiler Performance Analyzer mysql's SQL Performance Analyzer is mainly used to display the usage of various resources during SQL Execution.Analyzer can better demonstrate the performance problems of poor SQL statements. The following is an example of how to use MySQL SQL Profiler: www.2cto.com. First, enable MySQL SQL Profiler mysql> SELECT @

Sometimes, we pay special attention to program performance, especially the underlying software, such as drivers and OS. In order to better optimize the program performance, we must find the performance bottleneck, "good steel is used on the blade" to achieve good results, otherwise it may be done in vain. To find the key path, we can use profilng technology. On t

-processing of Heap Dump filesThe Heap Dump file can be obtained through the JVISUALVM user interface, which is also available through Jcmd and Jmap. The heap Dump file is a snapshot of the heap, typically using JVISUALVM and jhat to parse the snapshot.Back to top of pagePerformance analysis ToolsThe performance analyzers provided by Java are the most important analysis tools. It has a wide variety of strengths, and using different analyzers may find

What is performance analysis?performance analysis is a measure of the relative performance of your application at the code level. The events that the profiling will capture include: CPU usage, memory usage, function call length and times, and call graph. Performance analysis

simple locks in the AIX kernel and kernel extensions.NmonNmon is a free software tool that provides many of the same information as Topas , but saves the information in Lotus 123 and Excel format files. The download site for this tool is http://www.ibm.com/developerworks/eserver/articles/analyze_aix/. The information collected includes CPU, disk, network, adapter statistics, kernel counters, memory, and "busiest" process information.Platform-agnostic Java p