1. My Experience Building Platforms After graduation I joined Tencent BlueKing, mainly working on SaaS development. After nearly three years there, I went back to my hometown of Wuhan and joined QingCloud, where I was responsible for DevOps R&D. After nearly two years, I joined a new company, took part in building a business support platform, and thought about how the business side puts Kubernetes into practice.

1. What Is Cloud Native Cloud native is a rapidly evolving field. In 2013, Pivotal proposed the concept of cloud native and has continued to interpret it. Below is Pivotal’s description of the characteristics of cloud-native architecture: 2015: 12-Factor, microservices-oriented, anti-fragile 2017: Observability, modularity, replaceability, disposability 2019: DevOps, continuous delivery, microservices, containers Many people’s first encounter with cloud native may have been through the CNCF.

1. What I Am Thinking About At a big company, you get more opportunities to learn about industry trends and take part in industry change. A large platform does not run on the strength of one person or a few people. If it really could, it would not deserve to be called a large platform.

Provider Domain Google App Engine appspot.com second-level domain Sina App Engine sinaapp.com second-level domain Baidu App Engine duapp.com second-level domain Heroku herokuapp.com second-level domain AWS Elastic Beanstalk elasticbeanstalk.com second-level domain OpenShift rhcloud.com second-level domain DaoCloud daocloud.io second-level domain TenxCloud tenxapp.com second-level domain Alauda myalauda.cn second-level domain

Note: A few brief words on a sharing session by a teammate. App Engine frees development from the tedious deployment and configuration process and provides full-fledged automated support services. Its Controller is the brain of App Engine, coordinating and controlling the operation of the whole engine. The slides mainly cover App Engine’s design approach and evolution, and also give thought to resource scheduling and failure disaster recovery.