Building Materialised Views Of Content Metadata Using Javascript Microservices

Please log in to watch this conference skillscast.

Augustine will share with you about his current stream of work, which involves creating an event-driven write pipeline that generates materialised views of tagging metadata corresponding to the various read profiles thus improving the overall performance and scalability of the system. The new architecture comprises of small, single-purpose Javascript-based services, lambda functions, event stores, queues, streams and a number of specialised data stores.

Building a majority of the components in Javascript, you will discover how they:

• Built simple components that are easy and quick to deploy.
• Used Typescript for static type-checking.
• Adopted Functional Javascript techniques.
• Adopted input validation libraries like joi.
• Used docker-compose to orchestrate dependencies for acceptance testing.
• Took advantage of other tools and libraries like Bluebird, nsp, testdouble, etc.

YOU MAY ALSO LIKE:

• iSAQB Software Architecture Gathering — Digital 2022 (Online Conference on 14th - 17th November 2022)
• Haskell eXchange 2022: Novice Track (Online Conference on 7th December 2022)
• E120 - Harjot Singh - Data Analytics at the Core of Digital Transformation (Online Meetup on 9th October 2022)
• From Model to Microservice - ML Deployments at Scale (SkillsCast recorded in September 2022)
• Leadership Guide for the Reluctant Leader (SkillsCast recorded in July 2022)