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接口自动化测试的最佳工程实践
基于Python+Pytest+Requests+Allure+Yaml+Json实现全链路接口自动化测试
基于appium的app自动遍历工具
appium_selenium python 自动化UI测试
接口自动化测试框架,用于完成接口自动化测试,适用于dubbo、http/https、mysql的测试,输出html报告
:lollipop: ADB Usage Complete / ADB 用法大全
微信小程序开发资源汇总 :100:
Dockerfile best-practices for writing production-worthy Docker images.
框架采用微服务的设计**,而且各工程易分易合 此框架采用前后台分开,前后台都可以单独部署,前端采用轻量级的扁平化设计(html+javascript+Bootstrap), 会自动针对不同的屏幕尺寸调整页面,使其在各个尺寸的屏幕上表现良好。 后端采用Spring boot、 Spring Cloud,不需要部署WAR 文件,可直接运行jar文件。 系统权限框架采用spring-security oauth2,实现前后台权限校验,权限实现了用户授权和客户端授权。 持久层采用JPA ,能够很好的适应不同数据库,并实现注解式动态查询功能。 数据响应该采用json格式。 服务采用REST形式,能够方便的与手机app进行对接,集成swagger能够在线查看RESTAPI 文档和在线测试服务接口 支持单点登录,可以多系统进行菜单集成,形成一个portal。 支持高并发和水平扩展,支持Session的统一存储。 项目采用gradle构建,能够方便的将各项目进行按需组装。
simple demo of an interface test platform
和我一步步部署 kubernetes 集群
learn
一键安装kubernets(k8s)系统,采用RBAC模式运行(证书安全认证模式),既可以单台安装、也可以集群安装,并且完全是生产环境的安装标准。有疑问大家可以加我微信沟通:bsh888
基于macacajs和webdriveragent模拟monkey的执行。可以一起执行多个ios设备
Jenkins job template with build scripts for packing apps, include iOS and Android. Very ease to use, out-of-box.
Kubernetes中文指南/云原生应用架构实践手册 - https://jimmysong.io/kubernetes-handbook
《从Docker到Kubernetes进阶课程》在线文档
littleMock is an easy-to-install demo environment for Java performance tuning. Runs on Windows/Mac/Linux.
Locust.io + Grafana
用来管理日常测试代码
基于Django2搭建的个人博客平台,专注技术分享、学习记录!
Python - 100天从新手到大师
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.