sharepoint 2013 performance monitoring

1. Server Load DesignIn the previous section, we saw that the servers were made up, with the basic design of redundancy for each of the SharePoint Server (hereinafter referred to as SPS) servers, not just high availability requirements. Because a single server is constrained by processing power, the ability to provide is limited, while multiple servers can balance the load, the performance of the whole syst

after the community site is established, there are commonly used functions, and the administrator should make the settings in advance. @ function. @ features are symbols that are widely used on Weibo and social networking sites. Enter a person's name after @ , and the system will automatically search for it and send a notification email to it. to use the @ feature, first make sure that the server farm's outgoing Mail is configured, and then make sure that the User profile Service The applicatio

Use PHP extension XHProf to monitor function-level performance. Reference Official Description of XHProf: XHProfisafunction-levelhierarchicalprofilerforPHPandhasasimpleHTMLbasednavigationalinterface.Ther... "/use PHP extension XHProf for function-level performance monitoring. Reference the official description of XHProf: XHProf is a function-level hierarchical pr

Reprint, original link http://www.webryan.net/2013/02/web-page-test-based-on-phontomjs/1. Web Performance Monitoring Background descriptionIn the previous issue of the "Web performance monitoring automation exploration of the road-the first knowledge webpagetest" from the pe

Use PHP extension XHProf to monitor function-level performance. Reference the official description of XHProf: XHProf is a function-level hierarchical profiler for PHP and has a simple HTML based navigational interface. the raw data collection component is implemented in C (as a PHP extension ). the reporting/UI layer is all in PHP. it is capable of reporting function-level comprehensive and exclusive wall times, memory usage, CPU times and number of c

We know that system optimization is a complex, tedious, and long-term task. the following subsystems are usually monitored: CPUMemoryIONetwork The following is a commonly used monitoring tool. Linux includes many subsystems (including CPU, Memory, IO, and Network). We know that system optimization is a complex, tedious, and long-term task. normally, the following subsystems are monitored: CPUMemoryIO Network The following are common

We know that system optimization is a complex, tedious, and long-term task. The following are common subsystems for monitoring:CPUMemoryIO Network The following are common monitoring tools Hybrid + hybrid + CjxwPkxpbnV4IM + 1 zbOw/hybrid + hybrid/Cw + hybrid/hybrid + CjwvcD4KPHA + PGVtPjxzdHJvbmc + pgltzybzcm9 "http://www.2cto.com/uploadfile/Collfiles/20140121/2014012108571641.jpg" alt = "n fast hang 'zookeeper k-Acceleration zookeeper-Zoo

://github.com/nicolargo/glances/blob/master/docs/glances-doc.rstIf you want to store the data for use by other services, it can be saved as csv,html or saved in Influxdb and STATSD, or as a reference:Https://github.com/nicolargo/glances/blob/master/docs/glances-doc.rst#gateway-to-others-servicesIn general, this tool is very lightweight and very useful and will be integrated into my personal project.This project is using the LGPL protocol.Reference:Http://www.vpsee.com/

similarities with supermarket queues:r/s+w/s similar to the total number of people who have beenAverage Queue Length (AVGQU-SZ) is similar to the number of average queueing people in a unit timeAverage service time (SVCTM) is similar to the cashier's payment speedAverage wait time (await) is similar to the average wait time per personAverage I/O data (AVGRQ-SZ) is similar to the average number of things each person buysThe I/O operation rate (%util) is similar to the time scale at which a perso

There are a lot of performance tools on the Linux platform, a dazzling, long-term groping and experience finding the best thing to use is the proven, simple gadgets. System performance expert Brendan D. Gregg at the recent LinuxCon NA 2014 conference to update his famous talk (http://www.brendangregg.com/linuxperf.h tml) and slides. and Brendan last year's Talk (http://www.vpsee.com/

{"DB": "Order", #库名 "Collections": 4, #集合数 "Objects": 2011622, #记录数 "avgobjsize": 111.92214441878245, #每条记录的平均值 "DataSize" : 225145048, #记录的总大小 "storagesize": 307323392, #预分配的存储空间 "numextents": +, #事件数 "Indexes": 1, #索引数 "indexsize": 74187744,# So size 1024=1kb "fileSize": 1056702464, #文件大小 "OK": 1}Iv. set running state: DB. Collection name. Stats (){"ns": "Order.order", #命名空间 "Count": 2010000, #记录数 "size": 225039600, #大小 "avgobjsize": 111.96, "storagesize": 307186944, " Numextents ": nindexes