FAMILY = Father And Mother I Love You

Pros and cons of end to end testing tools

My background in test automation is based on using Selenium WebDriver and Java. Since JavaScript has been widely used for testing web applications, I have decided to investigate tools currently available on the market. I will use these tools to make different scripts and hence find their advantages and disadvantages.

I have investigated the following tools and syntax for automation:

  1. Selenium Webdriver + Java
  2. Selenium WebDriver + Cucumber + Java
  3. Selenium WebDriver + Jasmine syntax for JavaScript applications
  4. Selenium WebDriver + Mocha syntax for JavaScript applications
  5. Cypress
  6. Selenium WebDriver + Protractor
  7. Selenium WebDriver + NightWatch
  8. Selenium WebDriver + WebDriverIO

A Step By Step Guide to Tomcat Performance Monitoring

Monitoring the metrics and runtime characteristics of an application server is essential to ensure the adequate functioning of the applications running on that server, as well as to prevent or resolve potential issues in a timely manner.

As far as Java applications go, one of the most commonly used servers is Apache Tomcat, which will be the focus of this article.

Tomcat performance monitoring can be done either by relying on JMX beans or by using a dedicated monitoring tool like MoSKito or JavaMelody.

3 ways to start Appium Server from Java

When you start learning Appium or start writing your first test script with it, your initial approach (especially from a beginner’s point of view) would be to start and stop the Appium server manually. Initially, a lot of people start working with the GUI based Appium versions.

GUI versions of Appium are easy to use, and users can easily start and stop the Appium server manually using the controls provided in the tool. After some time, many people would download and install the latest versions of Appium, which most of the times would be a non-GUI version. And its still relatively easy to start and stop the non-GUI version of Appium manually.



HTTP Archieve有个统计,图片内容已经占到了互联网内容总量的62%,也就是说超过一半的流量和时间都用来下载图片。从性能优化的角度看,图片也绝对是优化的热点和重点之一,Google PageSpeed或者Yahoo的14条性能优化规则无不把图片优化作为重要的优化手段,本文覆盖了Web图片优化的方方面面,从基本的图片格式选择、到尚未被广泛支持的响应式图片均有所提及。

Google Web Fundamentals的说法我很喜欢: