Stop letting business logic creep into your frontend. This talk makes a strong case for REST's clean architecture over the hidden dangers of GraphQL.
#1about 4 minutes
Defining developer productivity as the ultimate software metric
Developer productivity, measured by customer satisfaction and future-proof code, is the key metric for building traditional software.
#2about 2 minutes
Using APIs to compartmentalize complexity and enable scalability
APIs act as firewalls between software modules, enabling interoperability and scalability by allowing independent system growth.
#3about 3 minutes
Tracing the evolution of APIs from RPC to GraphQL
The history of APIs shows a progression from low-level RPC and verbose SOAP to structured REST, interactive WebSockets, and modern gRPC and GraphQL.
#4about 3 minutes
Understanding API users and common application use cases
APIs serve various roles like developers and architects across use cases including mobile backends, third-party integrations, and microservices.
#5about 4 minutes
Leveraging APIs as a tool for clean architecture
A well-designed, domain-driven API enforces clean architecture by separating concerns and firewalling business logic from the presentation layer.
#6about 2 minutes
Architectural differences between REST, GraphQL, and gRPC
REST is resource-oriented, GraphQL offers flexible data queries similar to SQL, and gRPC provides a low-level, efficient data serialization format.
#7about 4 minutes
Evaluating the pros and cons of REST, GraphQL, and gRPC
REST offers self-documentation via OpenAPI but struggles with data fetching, while GraphQL is flexible but can break architectural separation, and gRPC is performant but complex to debug.
#8about 1 minute
Case study: Accelerating development with REST and OpenAPI
Using a REST API with OpenAPI allows for automatic client generation, which significantly speeds up front-end development for Django applications.
#9about 2 minutes
Choosing the right API for different project needs
Select REST for simple CRUD operations, consider GraphQL for complex front-end data needs, and use gRPC for high-performance microservices.
#10about 2 minutes
Q&A: GraphQL bombs and gRPC for microservices
The best defense against recursive GraphQL queries is a solid architecture, and gRPC is recommended for microservices due to its performance and control.
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Matching moments
01:08 MIN
Choosing the right API protocol for today's needs
REST in Peace? What does the API protocol of the future look like? Or do we have it already?
02:07 MIN
Exploring alternatives to REST like gRPC and GraphQL
API = Some REST and HTTP, right? RIGHT?!
04:02 MIN
When to choose GraphQL, SQL, or REST
GraphQL: Does it replace SQL, REST or Something Else?
04:29 MIN
An overview of gRPC fundamentals and its trade-offs
gRPC Load Balancing Deep Dive
11:34 MIN
Audience Q&A on tools, errors, and GraphQL
API Design - Getting Started
02:20 MIN
Prerequisites and agenda for the FastAPI talk
Build your backend using FastAPI
02:44 MIN
How GraphQL improves upon REST's limitations
REST in Peace? What does the API protocol of the future look like? Or do we have it already?
03:45 MIN
Why using GraphQL between services can be challenging
GraphQL Mesh – Why GraphQL between services is the worst idea and the best idea at the same time!
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