csat metrics

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Code quality metrics (resource standard management)

RSM is a good staticCodeQuality Check tool, provide code line statistics, complexity statistics and other functions, see: http://msquaredtechnologies.com/m2rsm/docs/index.htm RSM supports the languageSyntax of ansi c, ansi c ++, C # and Java. RSM creates HTML reportsFor visual metrics that interacts with source code hyperlinks and CSV or commaSeparated value format for direct input to MS Excel or other spreadsheets. Feature: Number of

Zabbix Monitoring HDD metrics, TCP connection status

} ';; NBSP;NBSP;NBSP;NBSP;NBSP;AVGRQ-SZ) /usr/bin/iostat-dx|grep $device |awk ' {print$8} ';; NBSP;NBSP;NBSP;NBSP;NBSP;AVGQU-SZ) /usr/bin/iostat-dx|grep $device |awk ' {print$9} ';; await) /usr/bin/iostat-dx|grep $device |awk ' {PRINTNBSP;$10} ';; NBSP;NBSP;NBSP;NBSP;NBSP;NBSP;NBSP;NBSP;SVCTM) /usr/bin/iostat-dx|grep $device |awk ' {print$11} ';; util) /usr/bin/iostat-dx|grep $device |awk ' {print$12} ';; EsacModify the Zabbix_agentd.conf file[Email protected] etc]$ Tail-2 zabbix_agentd.con

Collaborative filtering of user similarity metrics

, 2) #Now compute Denominatordenominator = sqrt (Sum_x2-pow (sum_x, 2)/N) * sqrt (Sum_y2-pow (sum_y, 2)/N)ifDenominator = =0:return0Else: return(Sum_xy-(sum_x * sum_y)/n)/denominatorSelection of Similarity:The Pearson correlation coefficient is used when different users have different evaluation criteria for various products.When the data is dense and the value of the attribute is important, use Euclidean or Manhattan distances;When the data is sparse, there are many 0 values, consider

Performance Test Metrics

, it is certainly uncertain.Such a portal system, because of the user rights, so not as Jackie said most of the static page. But as long as it is a multi-server cluster, we can calculate the load capacity of multiple machine clusters through the test results of 1 machines, with the additional consideration of load balancing and routing pressure, such as bandwidth, speed, latency, etc. But if all the changes in 1 machines, then we can only do some of the indicators on the calculation, can be easi

What are the common performance metrics in server performance testing?

."Intermediate response time" is the median response time for a period of time, 50% response time, and half of the server response time is below that value and the other half is above that value."90% response Time" 90% of transaction response time is smaller than this value over time. Response to the overall response speed, and the 10% timeout rate above that value. is one of the important indicators used to assess system capacity.Minimum response time for the Min. reflects the fastest processin

"Programmer's metrics, improving software team Analytics" Reading notes

good, people are also temporary formation. But the latter team was successful and the previous team failed. The author has a few gains1 successful team complex tasks are concentrated in a small number of hands. Other programmers take on a lot of work, but not hard. The team that failed is almost everyone's workload is similar, the average complexity is high.2 successful teams each work in multiple areas. Failed teams each work in a very small area3 Successful team of people innovation, also ini

The value of Operations personnel 3 basic metrics

The value of Operations personnel 3 basic metrics1, website access fast, 7x24 service is not down.2, the data backup does not lose, even if the fault, at any time can recover the lost data, does not affect the business.3, for the company Save Money Festival, through the optimization of the site structure to save the number of servers, bandwidth (IDC,CDN)The use of cloud computing and the development of automation platform is to improve productivity and labor savings.Basically, the value embodied

IPv6 RIPng and RIP metrics analysis

NSSA ext 2, L-lispR 2001:A:A:13::/64 [120/2]Via fe80::c803:35ff:fe30:1c, fastethernet0/0R 2011::1/128 [120/3]//r1 the Loopback interface route hop count is 3Via fe80::c803:35ff:fe30:1c, fastethernet0/0R 2033::3/128 [120/2]Via fe80::c803:35ff:fe30:1c, fastethernet0/0650) this.width=650; "src=" http://s3.51cto.com/wyfs02/M00/58/D4/wKiom1S93PHCM2t8AAK2rc4lg5o298.jpg "title=" 4.png " alt= "Wkiom1s93phcm2t8aak2rc4lg5o298.jpg"/>it can be seen from the results of the clutch. R3 The 2011::1/128 route

Beta Stage performance metrics test

70% 23.33% 5% 0.83% 0.83% CPU consumption Interval (%) 0.00~11.40 11.50~22.80 22.90~34.20 34.30~45.60 45.70~57.00 Number 120 0 0 0 0 Percentage 100% 0% 0% 0% 0% Memory consumption Interval (MB) 0.00~18.13 18.14~36.26 36.27~54.39 54.40~72.52 72.53~9

Common metrics for Android performance testing

3014885 2127 139857 2117 3014885 2127 0 0 0 0 139857 2117 0 0 0 0where 6th and 8 are listed as Rx_bytes (receive data) and tx_bytes (transmit data) contain statistics on all network traffic such as TCP,UDP.Remarks: Script page http://www.cnblogs.com/penghong2014/p/4530875.html4. PowerMany features of Android are compared to power consumption (such as screen, Gps,sensor sensor, wake-up mechanism, CPU, Internet usage, etc.)1) Anti-screen standby the most power-saving2) WiFi than cellular data, in

Send monitoring metrics to the internal mailbox in Linux

Send monitoring metrics to the internal mailbox in LinuxDatabase health monitoring is a very important task. An important indicator/KPI monitoring result has a dedicated collection, monitoring, and alarm system for relevant tasks.Some indicators that are not very important or are still in the design and debugging phase, I just want to send them to my own mailbox. This article describes the process of configuring mail to send monitoring data on the ser

Mobile app Performance Test metrics

for memory use, so as not to cause frequent GC (garbage collection mechanism) impact performance and large object application memory overflow; On the other hand, we need to release memory in time to avoid a memory leak.ElectricityMobile devices have very limited battery power relative to the PC, which is especially important to maintain long-lasting endurance. In addition, many features of Android are more power consumption (such as screen, Gps,sensor sensor, wake-up mechanism, CPU, network, et

Distance metrics and Python implementations (ii)

) Jaccard distanceThe concept opposite to the Jaccard similarity coefficient is the jaccard distance (jaccard distance). Jaccard distances can be expressed in the following formula:The Jaccard distance is used to measure the sensitivity of two sets by the proportion of the elements in each of the two sets.(3) Application of Jaccard similarity coefficient and Jaccard distanceThe Jaccard similarity coefficient can be used to measure the similarity of samples.Sample A and sample B are two n-dimensi

Common App Performance Test metrics

. The memory resources of the mobile device are very limited, and the private memory allocated for each app process is limited. On the one hand, we should reasonably apply for memory use, so as not to cause frequent GC (garbage collection mechanism) impact performance and large object application memory overflow; On the other hand, we need to release memory in time to avoid a memory leak.ElectricityMobile devices have very limited battery power relative to the PC, which is especially important t

101 metrics for a perfect website. Part 2. Content is king

Content is the most valuable part of a website. The only purpose of a user's access to your website is to obtain valuable content, rich content, and accurate content, the constantly updated content is three elements of a successful website. Of the 101 metrics of the perfect website, 23 are about content. We put the content first. In fact, you should focus 80% on the content, the 23 content indicators are: Rich Content It is hard to imagine the disapp

Must know-site common metrics (2/2)

after.Summary:This small series introduces the relationship between the indicator and user behavior, as well as the calculation methods and advantages and disadvantages of each indicator. In the analysis of the site should be integrated use, in order to make the correct suggestions for improvement measures. For example, if a product is not focused, but the conversion rate is high, we should analyze how, and another product is very high, but the conversion rate is very low, we should analyze how

Those performance parameter metrics for Linux servers

tcpdump to grab the packet, when the problem is reproduced (such as the log display or a state appears), you can end the capture, and the tcpdump itself with-c/-w parameters, you can limit the size of the crawl packet storage file, When this limit is reached, the saved packet data is automatically rotate, so the total number of packets is still controllable. After that the packet took off the line, with Wireshark want to see how to see, not happy! Tcpdump Although there is no GUI interface, but

Linux sends monitoring metrics to internal mailboxes

/etc/mail.rc# for Linux and BSD, this should is set.Set BsdcompatSet from=[sender email address]Set SMTP=[SMTP server address]Set smtp-auth-user=[mailbox user name]Set smtp-auth-password=[Email password]Set Smtp-auth=loginManual test to send mail:[Email protected] etc]# echo Hello World |mail-s "test" [email protected][email protected] etc]# python dbcheck.py >dbcheck.txt;cat dbcheck.txt|mail-s dbcheck [email protected][email protected] etc]# python dbcheck.py >dbcheck.txt;mail-s dbcheck [email

Java Program Performance optimization-performance metrics

higher the speedup, the more obvious the optimization effect. The Amdahl law gives the relationship between speedup and system parallelism and number of processors. Assuming that the speedup ratio is speedup, the program that must be serialized within the system is the F,CPU processor number n, which is:speedup≤1/(f+ (1-f)/n) Example: under a dual-core processor, a program execution step consists of 5 steps, of which 3 steps must be serial, so its serialization weight is f=3/5=0.6,n=2. Accordin

Distance metrics and Python implementations (i)

, the Markov distance between two points is independent of the unit of measurement of the original data, and the Markov distance between the normalized data and the central data (that is, the difference between the original data and the mean) is the same as that between two points. The Markov distance can also exclude the interference of correlations between variables. Cons: Its disadvantage is that it exaggerates the effects of small variables that change.Reference:Http://www.cnblogs.com/daniel

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