• sql_ Use of exporter


    1、 Background Sometimes, we want to see the number of logins in the system every day or the order data in the system, such as successful orders, abnormal orders, etc. These data are in our database throughsql_exporterWe can access these data toprometheusMonitor and alarm during. 2、 Use of SQL exporter 1. Download 1. Access download […]

  • How to use second level monitoring for mongodb troubleshooting


    In our daily database use, the monitoring system, as an important auxiliary system for troubleshooting and alarm faults, plays an important role in problem diagnosis, troubleshooting and analysis for DBA, operation and maintenance and business development students. And the quality of a monitoring system also greatly affects whether the fault can be accurately located and […]

  • Tiobe programming language ranking released in February: C language champion is stable, what’s the change of the top ten?


    Source: www.tibe.com February headline: there doesn’t seem to be any real change. Some people say that the IT industry is changing. Every day a new it buzzword appears somewhere. But if we look closely at the top eight of the tiobe index, it doesn’t seem to have changed in the past seven years. Does this […]

  • Springboot integrates Prometheus


    1、 Demand Realize a simple integration of springboot and Prometheus. 2、 Implementation steps 1. Introducing jar package <dependencies> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-actuator</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> </dependency> <dependency> <groupId>io.micrometer</groupId> <artifactId>micrometer-registry-prometheus</artifactId> <scope>runtime</scope> </dependency> </dependencies> 2. Application.prometheus file configuration 1. Enable the Prometheus endpoint.2. Specify a general label for each indicator. See the screenshot below for application.3. Specify […]

  • 30 + program veterans’ Transformation Road


    background Recently, I plan to learn something about data analysis. In the figure below, although there are a lot of advertising elements, there are many techniques. It is said that programmers should have a little product thinking and be sensitive to data. After reading the introduction of some training institutions, there are many knowledge points […]

  • Microservice index monitoring based on Prometheus


    Microservice index monitoring based on Prometheus After the service is online, we often need to monitor the service in order to find problems as soon as possible and optimize them. Monitoring can be divided into many forms, such as log monitoring, call chain monitoring, indicator monitoring and so on. Through index monitoring, we can clearly […]

  • Traffic congestion map drawn by Python pyecharts


    The text and pictures of this article are from the Internet, only for learning and communication, and do not have any commercial use. If you have any questions, please contact us in time. The following article is from Python dry goods store, written by: kimol Jun, not serious   preface Just today, I feel the […]

  • Viewing page loading performance has never been easier


    Chrome plug in address:Performance Assistant Source code:GitHub address background Page loading performance is one of the issues that front-end engineers pay most attention to. They optimize the loading of front-end projects and want to view the intuitive data of loading performance, such as onload trigger time, TTI, FCP, etc. they usually use the performance or […]

  • R language clustering validity: determining the optimal clustering number, analyzing iris iris data and visualization


    Link to the original text:http://tecdat.cn/?p=22879 Data set overview This dataset is often used for data overview, visualization, and clustering models. It includes three iris varieties, each with 50 samples, as well as some attributes. One of them is linearly separable from the other two, but the other two are not linearly separable. The given columns […]

  • Past, present and future of serverless observability


    Introduction:The observability of function computing has experienced the development from 1.0 to 2.0. It has developed from the observability of building behind closed doors to the observability of open source, from the observability of platform to the observability of developers, and from the observability of FAAS only to the observability of cloud origin. Author: Xia […]

  • Baidu app fluency whole process quality monitoring practice (2) fluency index selection


    preface In series (1), we learned the necessity of fluency monitoring, and some indicators and methods of fluency evaluation in the industry. Next, we will introduce series (2), the selection of fluency index of Baidu app. Baidu app fluency index selection 1. Unsmooth scene and weight consideration The actual test found that in the baidu […]

  • April 2020 programming language rankings


    Top 10 programming languages in AprilThe differences between them are as follows:java,C,python,c++,c#,Visual Basic, javascript ,PHP,SQL,R。 This monthC   languageThe growth rate is the largest,The growth rate is 2.64%, indexClose to Java, only 0.01% difference。 C language can be said to be the originator of major programming languages, there is a good saying: “C produces all […]