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Add and configure custom metrics for Zabbix server monitoring system deployment (2)

The last article (Zabbix distributed Server monitoring system installation and deployment (I) records the installation and deployment of the entire Zabbix System, including the Server and client segments, this article mainly describes how to install and configure the custom monitoring metrics of Zabbix. Because I only use some data and other information to monitor mysql The last article (Zabbix distributed Server monitoring system installation and dep

Review of Software Metrics

software structure measure methodEarly software metrics were associated with functional decomposition-oriented design methods, mostly based on module metrics.Process-oriented programming, the main factors affecting the quality of software: coupling, cohesion, complexity, modularity and size.Using the software module structure diagram for analysis, can be measured from the following aspects:? Maximum number of data transfers between modules? Average o

Web performance testing Basic performance metrics

the larger the CTR, the greater the pressure on the server. CTR is just a performance reference, and it's important to analyze the impact of clicks. Note that the Click here does not refer to a single click of the mouse, because in a single click, the client may make multiple HTTP requests to the server.8. Resource utilizationRefers to the use of different system resources, such as server CPU utilization, disk utilization, and so on. Resource utilization is the main basis for analyzing system p

Python crawl system metrics spit to Kafka

This article introduces using Python to write scripts, crawl system metrics, and then call Kafka Client library to metrics spit to Kafka case sharing. For the students with Kafka is very practical.You need to download two Python libraries to local before running this instance: six and Kafka-pythonCat Config_system_metrics.json{"env": {"Site": "Cluster","Component": "Namenode","Metric_prefix": "System"},"Out

Python's posture to analyze nmon and get performance metrics data is like this

a backgroundin a performance test or Linux Server operations, will involve the use of system resources monitoring, in addition to common system commands (such as top,iostat,free, etc.), a more comprehensive resource data monitoring tool is NMON, by running NMON on the server, You can periodically monitor the hardware resources and generate the collected data into a . NMON file. So, the question is, how do you parse the. Nmon file and get the performance data you care about in automated monitorin

Python implementation parse LR analyse result and generate summary performance metrics Data Report

a preface In the performance test framework development, you need to process the completed test report of the scene, summarize the performance metrics data that you are following in the report, and then write the report and send the relevant person a message. So, one of the steps is how to capture the data from the test report (e.g.,TPS, Response time, number of concurrent users, etc.). Two problem analysiswhen LR generates a test report, it saves the

MySQL Monitoring Metrics

Tags: ping sync for ODB scene space reading and writing state buffer filesIn order to troubleshoot the problem, the monitoring of the database is essential, in this introduction of MySQL in the common monitoring indicators.Brief introductionMySQL has a number of branch versions, common with MySQL, Percona, MariaDB, each version of the corresponding monitoring items will be somewhat different, here only some common monitoring items.Typically, the source code for a monitoring item is defined in th

Storage Metrics, storagemetrics

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)

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

Use Windows performance monitor to monitor common SQLServer 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, 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

Website Performance Optimization Metrics

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

About Web page performance measurement metrics and recommendations

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

How can you guarantee that your agile team will not be destroyed by metrics?

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

SQL Server Automation Operations series-Monitoring Performance metrics script (Power Shell)

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

Disk I/O performance monitoring metrics and tuning methods

Before we introduce the disk I/O monitoring commands, we need to understand the metrics for disk I/O performance monitoring, and the performance of some aspects of the disk revealed by each indicator. Indicators for disk I/O performance monitoring mainly include:Indicator 1: Number of I/Os per second (IOPS or TPS)For disks, the continuous read or continuous write of a disk is called a disk I/O, and the IOPS of the disk is the sum of the number of cons

Preliminary study on Elasticsearch polymerization--metrics

Elasticsearch is an open-source framework that provides search and correlation sequencing, while also supporting complex statistical-aggregation of stored documents. The Kubana icons are drawn based on aggregations. For more information, please refer to the Elasticsearch+logstash+kibana tutorial ObjectiveThe aggregations in ES are divided into two main categories: the metrics metric and the bucket bucket, and the

Disk I/O performance metrics and tuning methods

Before introducing the disk I/O monitoring command, we need to understand the disk I/O performance monitoring metrics, as well as the disk performance of each indicator. Disk I/O performance metrics include:Metric 1: I/O per second (iops or TPS)For a disk, the continuous read or write operation of a disk is called a disk I/O. The iops of the disk is the sum of the number of consecutive read operations and w

Implementing Oracle Self-monitoring with metrics baseline technology

Enterprise Manager to perform an action when an indicator reaches the baseline of the measure or exceeds the number. Therefore, the management of metrics baselines is critical to the self-monitoring capabilities of the database system. If this metric baseline is set high, then the monitoring will not work. The database may have crashed when the system was alerted. If this metric baseline is set relatively low, then the database is frequently reported

OO Design Quality Metrics

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 commands

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

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