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In the last session with IBM Developer SF and Hasura, you learned the what, why and how of GraphQL and got a teaser of Apache OpenWhisk -  a distributed Serverless computing platform.

In this session, we dive into the intricacies of Serverless.

- how to leverage the event driven paradigm offered by OpenWhisk and the subscriptions model built into Hasura GraphQL engine

-learn how to build a GraphQL API with Serverless functions and respond to database changes using triggers and feeds

He is a StackOverflow powered fullstack, polyglot developer whose areas of interest and work include react, GraphQL, Nodejs, Python, Haskell, Docker, postgres, Kubernetes. He is an instructor at imad.tech, India's largest MOOC with over 250,000 students.

Upkar Lidder is a Full Stack Developer and Data Wrangler with a decade of development experience in a variety of roles. He can be seen speaking at various conferences and participating in local tech groups and meetups. He is currently curious about magic behind Machine Learning and Deep Learning, specifically use of NLP in chatbots. Upkar went to graduate school in Canada and currently resides in the United States. You can find him on Twitter at https://twitter.com/lidderupk.

Hasura GraphQL engine and IBM Serverless