kafka metrics

Shutter is a good tool. I have installed this software and the installation method. Today I have seen this application Applet in Webupd8. It is good. It is specially used for the application metrics of Shutter. Add WebUpd8PPA and install shutter indicator use the following command: sudoadd-apt-repositoryppa: nilarimogard/webupd8sudoapt-getupdatesudoapt-getins Shutter is a good tool. I have installed this software and the installation method. Today I

1. Confusion Matrixis a confusion matrix of two types of problems in which the output uses a different category labelCommonly used metrics to measure classification performance are: The correct rate (Precision), which is equal to tp/(TP+FP), gives the ratio of the true positive example in the sample that is predicted to be a positive example. recall Rate (Recall), which he equals to tp/(TP+FN), gives the true positive example of the predi

When doing jmeter testing, if you want to count the disk IO read and write speed, then it is very easy to think of the perfmon Metrics collector this plug-in, but the specific use of the process has the following needs to be noted.1, such as first, need to choose monitoring Read or monitor write, such as to monitor write so long select Writebytes, choose this statistic result has unit, at a glance.2, Filesystem filter must be designated here to monito

Size metrics for Java projects: Micro: Just a person, even half-day work in a few days to complete the software; Small: A person within six months to complete the 2000 lines within the program; Medium: 5 people in more than 1 years of time to complete the 5000-50000-line program; Large: 5-10 people completed in two years of 50000-100000 lines of procedures; Very large: 100-1000 people participated in a 4-5-year completed softw

Open one project/solution in Visual Studio (premium) and use the "analyze> calculate code metrics for solution" menu item to generate the code metrics report. Once calculated, the data can be exported to a data sheet for further analysis (e.g. counting the number of methods whose cyclomatic complexity is greater than 25 ). Note: Cyclomatic complexity (or conditional complexity) is a software metric (meas

Use Windows performance monitor to monitor common SQL Server metrics As mentioned in the above article, Win's Performance Monitor is an essential tool for monitoring database performance. Next I will introduce some common monitoring metrics, which are nothing more than disks, CPUs, memory and other hardware operating indicators include database locks, user connections, and parameter indicators that need to

Performance Metrics)Before we start to travel this book, I must first understand the performance indicators of this book and the results to be optimized. In chapter 2, we will explore more performance testing tools and performance indicators, however, you must use these tools and understand the significance of these performance indicators.The performance metrics of applications vary depending on different b

Skewed classesSkewed classes: The number of a species is much higher (or less than) another class, that is, two extreme cases.Predicting the classification model of cancer, if there is only a 1% classification error on test set, at first glance is a good result, actually if we predict all Y to be 0 (that is, none is cancer), the classification error is 0.5% (because the ratio of cancer is 0.5%). The error is reduced, is this an improvement to the algorithm? Obviously not. Because the latter meth

the ratio of the number of samples to the total number of samples.A = (tp + tn)/(P+N) = (tp + TN)/(TP + FN + FP + TN); It reflects the ability of the classifier to judge the whole sample-positive judgment is positive and negative judgment is negative.2. Confusion matrices (confusion matrix)3. Accuracy rate (Precision), recall rate (Recall) and F1-measureAccuracy rate (Precision):PRE = tp/(TP+FP); Reflects the proportion of the true positive sample in the positive case determined by the classifi

Brief introductionApache Kafka is a distributed publish-subscribe messaging system. It was originally developed by LinkedIn and later became part of the Apache project. Kafka is a fast, extensible, design-only, distributed, partitioned, and replicable commit log service.Apache Kafka differs from traditional messaging systems in the following ways: It is

Brief introductionApache Kafka is a distributed publish-subscribe messaging system. It was originally developed by LinkedIn and later became part of the Apache project. Kafka is a fast, extensible, design-only, distributed, partitioned, and replicable commit log service.Apache Kafka differs from traditional messaging systems in the following ways: It is

Kafka is a message system contributed by LinkedIn to the Apache Foundation, known as a top-level project of Apache. Kafka was originally used as the base of the LinkedIn activity stream and operation data pipeline Kafka is a message system contributed by LinkedIn to the Apache Foundation, known as a top-level project of Apache.