What if you could build a performant GraphQL API without writing a single resolver? Learn how a database-first approach makes it possible.
#1about 6 minutes
The buy vs build dilemma in media platforms
Axinom's product strategy evolved to offer modular microservices that solve the customer's choice between buying a monolith or building from scratch.
#2about 4 minutes
Choosing a tech stack for customizable services
The technology stack of Node.js, GraphQL, and PostgreSQL was selected to support expressive APIs and a relational data model for media content management.
#3about 5 minutes
Adopting a database-first API development philosophy
A development philosophy centered on treating the database as the API, maximizing auto-generation, and ensuring performance by default led to adopting PostGraphile.
#4about 6 minutes
Comparing database-first with schema-first and code-first
PostGraphile's database-first approach, where the SQL schema is the single source of truth, is contrasted with traditional schema-first and code-first GraphQL patterns.
#5about 7 minutes
Extending GraphQL schemas with PostGraphile plugins
The extensive plugin system in PostGraphile allows for auto-generating complex filters and adding custom business logic by extending the schema or wrapping resolvers.
#6about 5 minutes
Solving the N+1 query problem automatically
PostGraphile avoids the common GraphQL N+1 query problem by generating efficient SQL joins directly, rather than relying on less performant ORM patterns or data loaders.
#7about 4 minutes
Live demo of generating an API from a database
A live demonstration showcases running the PostGraphile CLI against a PostgreSQL database to instantly generate a full-featured GraphQL API for queries and mutations.
#8about 6 minutes
Q&A on pagination and database compatibility
Audience questions are answered regarding PostGraphile's built-in support for cursor-based pagination and its specific design for PostgreSQL, not other databases.
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