kafka metrics

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

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

scribe, Chukwa, Kafka, flume log System comparison1. Background informationMany of the company's platforms generate a large number of logs per day (typically streaming data, such as search engine PV, queries, etc.), processing these logs requires a specific logging system, in general, these systems need to have the following characteristics: (1) Build the bridge of application system and analysis system, and decouple the association between them; (2)

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

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

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

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

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

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

Recently used in the project to Kafka, recorded Kafka role, here do not introduce, please own Baidu. Project Introduction Briefly introduce the purpose of our project: The project simulates the exchange, carries on the securities and so on the transaction, in the Matchmaking transaction: Adds the delegate, updates the delegate, adds the transaction, adds or updates the position, will carry on the database o

Apache Kafka: the next generation distributed Messaging SystemIntroduction Apache Kafka is a distributed publish-subscribe message system. It was initially developed by LinkedIn and later became part of the Apache project. Kafka is a fast and scalable Log service that is designed internally to be distributed, partitioned, and replicated. Compared with traditional

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

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

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

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

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