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Metric Metrics tool for version Metrics-java

IntroducedMetrics is a package of metrics for Java services, embedded in Java code Metrics code, you can easily monitor the business code of the various indicators, at the same time, metrics can be very good with ganlia, graphite combination, Easy to provide graphical interface. The basic use of the core package (currently stable version 3.0.1) directly into the

Linux memory performance metrics, CPU performance metrics

main pages interrupt means more access to the diskThe indicator can be viewed via the SAR command# sar-b 1 3pgpgin/pgpgout is the swap-in and swap out of memoryFault page breakmajflt main missing pages interruptvmstat command can also view some memory information# vmstat 1 5 Memory part is the RAM informationSi/so is swapped-in swap outSupplemental skillsWhen the top command is executed, the SWAP column is usually not displayed and you need to specify the displayIn the top interface, click 'f',

Hadoop metrics parameter description

People who use hadoop have some knowledge about the detailed counters in hadoop, but many may not find any information when they want to fully understand all metrics. In addition, there are few introductions when searching in the code. List all items. DFS. datanode. blockchecksumop_avg_time block verification average time DFS. datanode. blockchecksumop_num_ops block check count DFS. datanode. blockreports_avg_time average time of the block report DFS.

Ganglia Hadoop-related monitoring configuration and metrics

About ganglia configuration in Hadoop2.0.0-cdh4.3.0: Modify configuration file: $ HADOOP_HOME/etc/hadoop/hadoop-metrics.propertiesAdd the following content:*. Sink. ganglia. class = org. apache. hadoop. metrics2.sink. ganglia. GangliaSink31*. Sink. ganglia. period = 10# Default for supportsparse is false*. Sink. ganglia. supportsparse = true*. Sink. ganglia. slope = jvm. metrics. gcCount = zero, jvm. metrics

Ambari Metrics Introduction

ConceptAmbari metrics is a functional component in Ambari that is responsible for monitoring cluster status. It has some of the following key concepts: Terminology Description Ambari Metrics System ("AMS") The built-in metrics collection system for Ambari. Metric

"Performance Tuning" Oracle AWR reporting metrics full resolution __oracle

"Performance Tuning" Oracle AWR reporting metrics full resolution What is AWR? ===================================================================================================== AWR (Automatic workload Repository) A bunch of historical energy data, placed on the Sysaux table space, AWR and Sysaux are all 10g, are the key features of Oracle tuning; About 1999 years began to develop, has been 15 years of history Default snapshot interval 1 hour

How to collect Nginx metrics (Article 2)

How to collect Nginx metrics (Article 2)How to obtain the required NGINX metrics How to obtain the required metrics depends on the NGINX version you are using and What metrics you want to see. (See how to monitor NGINX (Article 1) to learn more about NGINX metrics .) Both th

Introduction to Object-oriented metrics

http://blog.csdn.net/horkychen/article/details/7640335Original address: http://agile.csc.ncsu.edu/SEMaterials/OOMetrics.htm2 Measurement AnalysisThe CK (chidamber kemerer) measure set [8] and mood [measure set] are often used when parsing code in object-oriented metrics. In this section, we will enumerate and explain the specific use of metrics.2.1 Coupling1974, Steven et. In the context of structured progr

Those performance parameter metrics for Linux servers

Those performance parameter metrics for Linux serversA Linux operating system-based server runs at the same time, it will also characterize a variety of parameter information. In general, OPS and system administrators are extremely sensitive to these data, but these parameters are also important to developers, especially when your program is not working properly, and these clues often help to locate the tracking problem quickly.Here are just a few sim

Performance metrics testing for IPs products

Performance metrics testing for any IPs product must take into account the impact of three factors: network performance, security accuracy, and security efficiency. January 25, 2003 is not a special day, but the day should be remembered by those who design and manage enterprise-class networks. This day, the Ms-sql Slammer virus in Greenwich Mean Time 5:30, making the Internet latency increased by 20% (almost usual 20 times times). By the weekend of

Metricbeat deployment and monitoring of Linux system metrics summary

Metricbeat Light-weight indicator collector Used to collect metrics from systems and services. From CPU to memory, from Redis to Nginx,metricbeat, you can deliver a variety of system and service statistics in a light-weight way. System-level monitoring, more concise Deploy Metricbeat to all your Linux, Windows, and MAC hosts and connect it to Elasticsearch: you get system-level CPU usage, memory, file system, disk IO and network IO st

Stanford University public Class machine learning: Machines Learning System Design | Error metrics for skewed classes (definition of skew class issues and evaluation measures for skew class issues: precision ratio (precision) and recall rate (recall))

The previous article mentioned the importance of error analysis and setting error metrics. That is to set a real number to evaluate the learning algorithm and measure its performance. With the evaluation and error metrics of the algorithm, one important thing to note is that using an appropriate error metric can sometimes have a very subtle effect on the learning algorithm. This kind of problem is the probl

Dropwizard Metrics-Introduction to basic use

Previously introduced in the Healthcheck how to add some simple health detection through metrics LIB to the system, now talk about Dropwizard metrics more important parts, record the system's measurement information. Dropwizard offers a variety of metrics: The simplest counter, the complexity of the histogram for calculating the time distribution, the meter for c

Ganglia collects hbase metrics

ecosystem. This article describes how to use ganglia to collect various hbase metrics and focus on solving the following two issues: (1) how to filter hbase indicators that are too many? (2) After modifying the hadoop-metrics.properties, do not need to restart hadoop or hbase. 1. hbase metrics Configuration Taking hbase-0.98 as an example, you need to configure hadoop-metrics2-hbase.properties # syntax:

Custom Dimensions and metrics

Google Analytics Deploy custom dimensions and metricsAugust 12, 2013 Abbo 7 Comments To use Google Analytics's custom dimensions and metrics, we first have to recognize the concept of dimensions and metrics. In simple terms: dimensions are the angle of our perception of things, and indicators are the way we measure things. From the database point of view, dimensions and indicators are fields,

Key metrics to focus on when managing kubernetes clusters

Pokemon per second processing of Go cloud data storage (expected vs Actual) This can happen, and you should be prepared for it as well. This is also the article in this series to mention. In this series of tutorials we'll show you what you need to track, why you're tracking them, and what you need to do to deal with possible root causes. We'll show you each indicator, how to track it, and what you can do to take action. We will use different tools to collect and analyze this data.

User Experience Metrics: A user-centric index system for Google Apps

Article Description: Google's application of this user-centric indicator system provides a very good reference for quantifying the user experience by providing a broadly adaptable dimension framework, as well as a process of creating specific metrics. Thank @liuyaping for sharing and exchanging the metrics of the user Center in Ali's work, which is very enlightening. Google's application of this

Linux System performance Metrics sampling script

Free> $filenameOfFree #nohupCat/proc/meminfo > $filenameOfMemInfo #nohupUptime> $filenameOfUptime # inchEvery day at April, run the shell script at1min past each hour.#1* *4*/root/shift_my_times.SH#1* *4*/home/pset/performancelog/collectlog.SHThe crontab is set to start hourly and collects data according to the frequency set in the script:1 0,4,Ten- at*4*/home/pset/performancelog/collectlogs.SH* * *4*/usr/local/bin/mycheckpoint--user=root--password=1111--socket=/redmine/mysql/tmp/mysql.sock--da

The stress test measures three CPU metrics: CPU utilization, Load average, and context Switch Rate

gives it to the thread, the thread is processed and returned to the main process, which is the 2-time switch. You can also use the values of CSR, IR, and 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

Data visualization, part 1th: Using SVG and D3 visual browsing metrics

This two-part article series will demonstrate a visualization technique that helps extract information from the data that has business value, and this article is the first part of the series. You'll see how to use Scalable Vector Graphics (SVG) and open source D3 JavaScript libraries to create visual representations that can be viewed through the browser, conveying information through shapes and colors. I'll demonstrate these techniques with some examples of visual browsing

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