The Serverless Framework & GraphQL
On Oct. 6th, Heavybit Member company Serverless hosted the Serverless Meetup in our San Francisco Clubhouse. There were three fantastic talks including a great introduction to AWS Lambda & GraphQL from Nikhila Ravi, a two-for-one talk from Serverless engineers Nik Graf and Philipp Muens on getting started with the Serverless Framework, and finally, a talk from GitHub’s Brandon Black on how they’re using GraphQL.
Serverless Framework + GraphQL Starter Kit
Philipp Muens, a Serverless framework core developer, and Nik Graf, a Serverless platform engineer, demo the official Serverless boilerplate, an easy-to-use starter kit that helps users combine the power of Serverless and GraphQL.
GraphQL at GitHub
Software engineer Brandon Black shares why his team at Github chose to implement GraphQL, the challenges they faced, and what the team is looking forward to next.
Serverless GraphQL
A Cambridge University graduate and experienced web developer, Nikhila Ravi, made the trip from Harvard University where she’s currently studying as one of 10 John F. Kennedy Memorial Scholars from the U.K. Nikhila gives an introduction to AWS Lambda and GraphQL and outlines the architecture of using them together. She includes a few tips and best practices.
Interested in joining Heavybit? Our program is the only one of its kind to focus solely on taking developer products to market. Need help with developer traction, product market fit and customer development? Apply today and start learning from world-class experts.
Subscribe to Heavybit Updates
You don’t have to build on your own. We help you stay ahead with the hottest resources, latest product updates, and top job opportunities from the community. Don’t miss out—subscribe now.
Content from the Library
The Future of AI Code Generation
AI Code Generation Is Still in Early Innings AI code generation tools are still relatively new. The first tools like OpenAI...
Personal Branding for Founders
Why Personal Branding? A lot of founders I’ve spoken to, especially those of us who are technical, bristle at the idea of...
Machine Learning Lifecycle: Take Projects from Idea to Launch
Machine learning is the process of teaching deep learning algorithms to make predictions based on a specific dataset. ML...