datadog metrics

Storage Metrics, storagemetrics When a SharePoint site is in use, the content will pass through, which will occupy the content database, increase the management complexity, and even reduce the system response time. You can set site quota to set a warning, so that the Administrator will know that the content of some sites is too large. The next step is to find out where the site occupies space. Obviously, it is unrealistic to manually browse docume

Important concepts in [Elasticsearch] aggregation-Buckets (barrels) and metrics (indicators) 2015-01-04 Source: http://blog.csdn.net/dm_vincent/article/details/42387161This chapter is translated from the Aggregations-high-level Concepts chapter of the Official Elasticsearch guide.High-level concept (high-level concepts)Like querying a DSL, aggregations (aggregations) have a composable (composable) syntax: Separate functional units can be mixed togethe

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, 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

number of vehicles on the highway, the response time is the speed. When vehicles are scarce. When vehicles are very small, the speed is very fast, but the high rate of receipt is correspondingly low; with the increase of the number of highway trucks, the speed is slightly affected, but the high-speed fee received increases rapidly, and as the vehicle continues to increase, the speed becomes more and more slow, and the expressway is getting more and more fast. If the flow of traffic continues to

First look at a diagram:Note: The right image is often used in our workWhat are the Web performance metrics we focus on?1. Page load timeThe time to load from the page to the page onload event firing. In general, the OnLoad trigger represents the CSS,JS directly from the HTML reference, and the picture resource is fully loaded.2. Full page load timeFull page load time refers to the time that the network activity is not available after 2 seconds, start

I think the agile community needs to change the way it evaluates the success of agile teams. The way we collect metrics and get information from these metrics actually hinders us from making the software we use, and that's the most important thing. Pushing individual metrics sometimes leads to focusing too much on others and on team collaboration. This distorts

Label:Original: SQL Server Automation Operations series-Monitoring Performance metrics script (Power Shell)Requirements DescriptionGenerally in the production environment, sometimes need to automatically detect the status of the indicator value, if there is an exception, need early warning, such as e-mail notification, this article is introduced if the power shell to achieve status value monitoringRange of monitoring valuesBased on experience, as a DB

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

Recently I joined a new Java project and found that the relationship between packages and classes is not very clear and confusing. The results of the CAP and JDepend checks are poor. It seems that not all people have this sense, about code quality, about design, about dependencies between classes, etc. Post two papers on this: OO Design Quality Metrics An Analysis of Dependencies Http://www.objectmentor.com/resources/articles/oodmetrc.pdf Software

Redis Performance Metrics monitoring commandsIn the process of learning, we must learn to use help frequently to understand the specific use of commands.1.info (monitoring typically uses this command to read data)127.0.0.1:6379> Help InfoINFO [Section]Summary:get information and statistics about the serversince:1.0.0Group:server127.0.0.1:6379> Info# Serverredis_version:3.0.7redis_git_sha1:00000000redis_git_dirty:0Redis_build_id:8d64350b19f2f7d2Redis_m

video quality metrics (VQM), and the latest proposed space PSNR (Spsnr) and Time PSNR (Tpsnr).The remainder of this article is organized as follows. In the second part, we describe the basis of the viewpoint synthesis technique. In the third and fourth part, we put forward the viewpoint synthesis algorithm and the evaluation criterion respectively. Part V, we show and evaluate the performance of the proposed algorithm. Part VI summarizes the article.

Reference: http://scikit-learn.org/stable/modules/metrics.htmlThe sklearn.metrics.pairwise Submodule implements utilities to evaluate pairwise distances (distance from sample pairs) or affinity o F Sets of samples (similarity of sample set). Distance Metrics is Functionsd (A, NBSP; b) such that d (A, b) d (A, c) if objectsa NBSP;ANDNBSP; b a NBSP;ANDNBSP; c .NBSP; Kernels is measures of similarity, I.e.s (A, NBSP; b) > s (A,