ArangoDB Community Pioneers: "Separate Your Data Access Layer With TypeScript Powered MicroServices
Additional links from the talk: Presentation - https://rasjonell.github.io/presentations/ Foxx Typescript Template - https://github.com/SquashConsulting/foxx_typescript Demo Social Media App - https://github.com/rasjonell/zuck_life Blog - https://rasjonell.tech/ We would like to welcome you to the hands-on talk from our Community member - Gurgen Hayrapetyan, who will speak live about his project - ArangoDB Foxx Service Template with TypeScript & Yarn 2.0 Support: https://github.com/SquashConsulting/foxx_typescript Separating server-side code into logical layers is a widely accepted architectural pattern. Having a standalone Data Access Layer(DAL) makes it possible for the Business Logic Layer to consist of multiple micro-services while having no duplication of data domain-specific logic across different services. Using ArangoDB Foxx services provides us with an opportunity to split the Data Access Layer into logical contexts, link shared logic together, and have high performance with native access to in-memory data.
Additional links from the talk: Presentation - https://rasjonell.github.io/presentations/ Foxx Typescript Template - https://github.com/SquashConsulting/foxx_typescript Demo Social Media App - https://github.com/rasjonell/zuck_life Blog - https://rasjonell.tech/ We would like to welcome you to the hands-on talk from our Community member - Gurgen Hayrapetyan, who will speak live about his project - ArangoDB Foxx Service Template with TypeScript & Yarn 2.0 Support: https://github.com/SquashConsulting/foxx_typescript Separating server-side code into logical layers is a widely accepted architectural pattern. Having a standalone Data Access Layer(DAL) makes it possible for the Business Logic Layer to consist of multiple micro-services while having no duplication of data domain-specific logic across different services. Using ArangoDB Foxx services provides us with an opportunity to split the Data Access Layer into logical contexts, link shared logic together, and have high performance with native access to in-memory data.