In Gartner's vendor evaluation for cloud AI and machine learning environments, AWS was rated as a leader in this field, both in terms of "ability to execute" or "completeness of vision", and was highly rated by an impartial third party. AWS, which has operated cloud technology platforms for many years and has rich background and experience, not only has the world's largest database, but also has a flexible and reliable system platform, high-performance and high-expansibility because of its diverse products and suitable for various types of industry developers.
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AWS Taiwan, a leader in cloud computing services, observed that front-end engineers are mainly responsible for dealing with web and mobile applications that are closest to users, but they often need to work with back-end teams and experience a lot of discussion time before they can handle user interface issues. In order to reduce the communication cost between the front and back ends, after mastering the interface management ability, some front-end engineers begin to develop experience in servers and databases to the back-end, and even further develop their skills to become full-end engineers who can be responsible for testing, security, and performance. . Some people will use AWS cloud tools to try to extend the backend by themselves through Side Project (developing projects of interest in their spare time) or participate in Hackathon (hackathon), and build simple and easy-to-use tool programs.