kafka metrics

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How to choose the number of topics/partitions in a Kafka cluster?

This was a common question asked by many Kafka users. The goal of this post are to explain a few important determining factors and provide a few simple formulas.More partitions leads to higher throughputThe first thing to understand are that a topic partition are the unit of parallelism in Kafka. On both the producer and the broker side, writes to different partitions can be do fully in parallel. So expensi

Kafka Data Reliability Depth Interpretation __kafka

Originally a distributed messaging system developed by LinkedIn, Kafka became part of Apache, which is written in Scala and is widely used for horizontal scaling and high throughput. At present, more and more open source distributed processing systems such as Cloudera, Apache Storm, spark support and Kafka integration. 1 overview Kafka differs from traditional me

"Flume" The CAS operation in Java concurrent programming from the perspective of Flume's monitoring metrics data xxxcounter

Swap/set"CAS has three operations: current in-memory value V, expected value A, updated value B, only when A==v is updated to B, otherwise nothingTaking Atomiclong as an examplePublic final long Incrementandget () {for (;;) { Long current = Get (); Long Next = current + 1; if (Compareandset (current, next)) return next; } }The Compareandset method calls the native method to implement the CAS operation, where current is a value obt

Distance metrics and Python implementations (ii)

/down) # method two: Solve X=np.vstack according to the SCIPY library ([x, Y]) d2=pdist (x, ' jaccard " ) Brecotis distance (Bray Curtis Distance)Bray Curtis Distance is mainly used in ecology and environmental science to calculate the distance between coordinates. The distance value is between [0,1]. It can also be used to calculate the differences between samples.Sample data:Calculation:Implementations in Python:Import NumPy as NPimport pdistx=np.array ([11,0,7,8, 0]) Y=np.array ([24,37,5,18,

Recommended system metrics-accuracy (Precision), Recall (Recall), F value (f-measure) _dm

 The following is a brief list of common recommended system metrics: 1. Accuracy rate and Recall rate (Precision Recall) Accuracy and recall rates are two measures widely used in the field of information retrieval and statistical classification to evaluate the quality of the results. The accuracy is to retrieve the number of related documents and the total number of documents retrieved, to measure the precision of the retrieval system; Recall is t

101 Metrics for a perfect website

Usability Checklist, Website usability Detection Tool (http://web.mit.edu/is/usability/usability-guidelines.html)Web content Accessibility Guidelines, accessibility guidance from W3 Web site (http://www.w3.org/TR/WAI-WEBCONTENT/SEO checklist, this humble web page provides amazing value for Google seo (http://www.vaughns-1-pagers.com/internet/google-ranking-factors.htm)SEOMOZ, if you want to find a global SEO's only authority, that's them. (http://www.seomoz.org)22. Point stone Interaction, if y

Using Codeanalyzer to analyze code metrics

My team has popularized the use of Codeanalyzer to analyze Code metrics (metric), sharing experience here. The first explanation is that Codeanalyzer is a jar file that you can run, and it can be used to get statistics on our code, and here is a detailed explanation of how to use the tool in conjunction with our development environment. (1) Copy the Code-analyzer- (2) The configuration X-window is as follows, in particular, the input in the command

Installing the Kafka cluster _php tutorial on CentOS

Installing the Kafka cluster on CentOS Installation Preparation: Version Kafka version: kafka_2.11-0.9.0.0 Zookeeper version: zookeeper-3.4.7 Zookeeper cluster: bjrenrui0001 bjrenrui0002 bjrenrui0003 Zookeeper cluster construction See: Installing Zookeeper clusters on CentOS Physical environment Install three physical machines: 192.168.100.200 bjrenrui0001 (run 3 broker) 192.168.100.201 bjrenrui0002 (run 2

Jmeter:windows server and Linux server performance metrics collection

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

Windows Server performance monitoring tools, methods, and key metrics

indicator that can display system-wide delay type errors. It is the sum of memory\\pages input/sec and memory\\pages output/sec . is calculated using the number of pages, so that it can be compared with other page counts, such as memory\\page faults/sec , without having to do the conversion , which includes the file system cache to satisfy the error ( typically requested by the application The page is retrieved in a non-cached mapped memory file. Recommended indicatorsThis value should not exc

Linux CPU metrics

Linux CPU metrics Linux provides a wealth of commands to monitor CPU-related data, such as top and vmstat. Top is a dynamic display process, that is, you can press the key to continuously refresh the current status. If you execute this command on the foreground, it will exclusively occupy the foreground until the user terminates the program. More accurately, the top command provides real-time monitoring of the status of the system processor, it displa

[Method] outputs the running metrics of workflow to target, and workflowtarget

[Method] outputs the running metrics of workflow to target, and workflowtarget Take the output workflow start time as an example: First, create the workflow-level variable $ test (datetype: date/time) in workflow) Next, double-click the link after Start and assign starttime to the newly defined wk variable $ test. Return to the Designer and add the mapping-level variable $ test (datetype: date/time) to the mapping) Return to Workflow Manage

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

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