datadog metrics

, Getmbeanname, Startreporter and Stopreporter. It is worth mentioning that in the Init method it creates a subdirectory that defaults to Kafka_metrics. Then determine if the kafka.csv.metrics.reporter.enabled is set to True, if true, call the Startreporter method to open the report, otherwise it will end directly.Wu, Kafkametricsgroup.scalaThe Scala defines a trait and an object. As the kafkametricsgroup trait, as the name implies, this should be a metric group, defined a lot of methods, the ma

Query of various graphics card metrics Why? What is its use? This great list details the performance of each chipset graphics card of each vendor in each period It can provide reference for your engine programmers,What kind of graphics technology is suitable for current use,What Is Too avant-garde and what has become a de facto standard,It can also provide a reference for the engine and graphics technology in what time the product applies. The mai

Measure the test taker's knowledge about the metrics in vmstat by reading the source code. The vmstat-a command can see active memory and inactive memory, but what do they mean? $ vmstat-a procs -----------memory-------------swap-------io-----system--------cpu----- r b swpd free inact active si so bi bo in cs us sy id wa st 1013809631956013724081757848002323109900 Their meanings are described in manpage, but not in detail: inact: the amount of

classification. When the probability of n classification in S is as large (all 1/n), the information entropy takes the maximum value log2 (n). When x has only one classification, the information entropy takes the minimum value of 0References: [1] Wu. The beauty of Mathematics series 12-cosine theorem and the classification of news.Http://www.google.com.hk/ggblog/googlechinablog/2006/07/12_4010.html[2] Wikipedia. Jaccard index.Http://en.wikipedia.org/wiki/Jaccard_index[3] Wikipedia. Hamming dist

This article and everyone to share is mainly Python to calculate the AUC index related content, together to see it, hope to learn python to help you.1. Installing Scikit-learn1.1scikit-learn Dependency· Python (>= 2.6 or >= 3.3),· NumPy (>= 1.6.1),· SciPy (>= 0.9).View each of the three dependent versions above,Python-v Result: Python 2.7.3Python-c ' Import scipy; Print scipy.version.version ' scipy version results: 0.9.0Python-c "Import numpy; Print numpy.version.version "NumPy Result: 1.10.21.

1. Installing Scikit-learn1.1scikit-learn Dependency Python (>= 2.6 or >= 3.3), NumPy (>= 1.6.1), SciPy (>= 0.9). View each of the three dependent versions above,Python-v Result: Python 2.7.3Python-c ' Import scipy; Print scipy.version.version ' scipy version results: 0.9.0Python-c "Import numpy; Print numpy.version.version "NumPy Result: 1.10.21.2 Scikit-learn InstallationIf you have installed NumPy, scipy, and Python and all meet the required conditions in 1.1, you can ru

Ethernet packets.10, outgoing packets rate:outgoing Ethernet packets per secondThe number of outgoing Ethernet packets per second.11. Page-in Rate:number of pages read to physical memory, per secondThe indicator indicates the number of pages exchanged to physical memory per second.12. Page-out Rate:number of pages written to pagefile (s) and removed from physical memory, per secondRepresents the number of pages per second that are removed from physical memory or written to the page.13. Paging R

Label:This paper mainly explains MySQL performance bottleneck analysis, performance indicators, performance index information collection tools and methods, analysis of the use of tuning tools.The article has not been completed, the following is an outline.Performance bottlenecks:SlowPerformance Index:Frequency of VisitsNumber of concurrent connectionsCache Hit RatioIndex useSlow log opening and analysisQuery LogIndicator Information collection:Dstat--mysql5-io--mysql5-cmds--mysql5-keys "See refe

Evaluation algorithm Excellent program, commonly used a series of indicators to measure, mainly including: Precision,recall,f-1 score, why design these values? Can't I use precision alone?1, what is precision?Precison, accuracy, mainly indicates how much of the detected alert is the correct judgment (True POSITIVE,TP).In practice, due to the different proportions of normal and abnormal data in the sample, accuracy can not reflect the real algorithm performance, for example:Cancer detection: It i

Indicators that measure the difference of two orders1. Fitness\[F = \frac{1}{z} \sum_j \frac{w_j}{\alpha (|p_i-q_j|+1) + (1-\alpha) p_i} \]which $p _j$ The position of the result of section $j$ in the sorted order $q _j$ The position of the $j$ result of the sorted order in the standard sort $w _j$ the weights on position $j$ in the standard sort $Z $ normalization factor 2. Kendall tau distance (wikipedia)\[k = \frac{2}{n (N-1)} \sum_{i=1}^{n-1} \sum_{j\[k (i,j) = \begin{cases}

#!/usr/bin/envpython#-*-coding:utf8-*-"" "@Author :villiamsheng@group: LinuxGroup@Date:2011-07-18@Funtion: Updatekvmhoststatus... get_nic:getaweeknetwork flow1, getsevendaysbeforeflow,getmaximumvalue! 2,GetSevendaysbefore flow,getaveragevalue! "" "Importos,sys,libvirt,socket,shutil,refromstatvfs importf_blocks,f_bavail,f_bsizeclasskvm_os_status (object): def __init__ (self): NBSP;NBsp;self.vmm={} Try:self.conn=libvirt.open (None) exceptlibvirt.libvirtError,e: printedefget_ Mem (self):try: f=open

TPS in the formula to get the number of transitions that each thing causes. Therefore, to reduce the CSR, you must work on the switch caused by each TPS, only n this value down, the CSR can be reduced, ideally n=0, but in any case, if n >= 4, you should check. In addition to the online csr Additional Information: These three metrics can be monitored in loadrunner, and in Linux, you can also use Vmstat to view R (Load arerage), in (Interrupt) and

How to view disk I/O operation information The SET STATISTICS IO on command is a message that enables SQL Server to display information about the amount of disk activity generated by Transact-SQL statements. We can be very useful when analyzing index performance. With this property enabled, after executing the SQL statement, we receive information similar to the following, which helps us analyze SQL performance: (3999 row (s) affected) Table ' Chargecl '. Scan count 1, logical read 9,547 times

I. Assessment METHODOLOGY 1. Leave the method The set up method directly divides the dataset D into two mutually exclusive collections, one of which is used as the training set S and the other as the test set T, and the T is used to evaluate the test error as an estimate of the generalization error when the model is trained at S. 2. Cross-validation method "Cross-validation" first divides the dataset D into K-sized mutually exclusive subsets, each of which maintains the consistency of the data d

student's performance, use the following statement: db.students.aggregate([{$project: {minScore: {$min: "$scores.score"}}}]) The statement inside minScore is equal to an alias and can be used for other. The results are as follows: { "_id" : 1, "minScore" : 34.85718117893772 } { "_id" : 3, "minScore" : 1.694720653897219 } { "_id" : 2, "minScore" : 6.301851677835235 } { "_id" : 4, "minScore" : 19.21886443577987 } { "_id" : 5, "minScore" : 10.53058536508186 } { "_id" : 7, "minScore" : 42.487806669

, occasionally do not have to worry about, if a long time, then you have to start to consider solving the disk IO performance issues.6.Processor:% Processor timeThis is an indicator for monitoring CPU conditions (similar to disk Time). This is a key parameter for observing CPU utilization. If the value of the processor Time counter continues to exceed 80%, there is a bottleneck on the CPU. If it only happens occasionally, it may indicate that there is a particular CPU-consuming query at this poi

time. However, this number will be different each time the query is run, except that the range of changes does not vary greatly over time. The total time is the amount of time that is required to execute the query (no time to block or read data), and because the load on the server is constantly changing, the range of this data can sometimes be quite large. In general, the performance of a query statement can be compared in several parameters in a quantitative way: 1, CPU time. Compare the CPU r

InnoDB table to monitor the remaining space of the InnoDB table.21.QPS Query volume per secondQPS = Questions (or Queries)/secondsMySQL > Show/* global * * status like ' Question ';22.TPS (transaction volume per second)TPS = (com_commit + com_rollback)/secondsMySQL > Show status like ' Com_commit ';MySQL > Show status like ' Com_rollback ';23.key Buffer hit RatioKey_buffer_read_hits = (1-key_reads/key_read_requests) * 100%Key_buffer_write_hits = (1-key_writes/key_write_requests) * 100%Mysql> Sh

/s rkb/s wkb/s avgrq-sz avgqu-sz await r_await w_await SVCTM%utilVDA 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00iostat-x VDA 1 2 command meaning: Every 1 seconds print the VDA this disk usage information, print two times altogether. %util indicates CPU busy, higher and busierUniversal Command-SAR(System Activity Report) is one of the most comprehensive systems performance analysis tools available on Linux and can be used to report system activity in many ways.Performance mon

1.0 Download serveragent. zipDownloadhttps://jmeter-plugins.org/wiki/PerfMonAgent/in the Serveragent.zip, store it in the JMeter directory and unzip it.1.1 Jmeter-winBefore testing the win performance, start the bat file and start the SH file before testing Linux.Note:① data must have a writable file, otherwise it will error, unable to execute the test plan. (The fact that my home notebook error, the company does not error)The length of the ② thread group is set longer, otherwise the time is too