David Leitner
Rethinking Reactive Architectures with GraphQL
#1about 5 minutes
Defining reactivity through asynchronous data streams
Reactivity is explained as programming with asynchronous data streams, which are data containers existing in plural space and asynchronous time.
#2about 5 minutes
Making relationships between variables explicit and automatic
Reactive programming uses streams to bind variables together, ensuring that changes to one variable automatically propagate to dependent variables.
#3about 4 minutes
Shifting from pull-based to push-based UI design
A mail client example illustrates the shift from a manual, pull-based refresh model to a reactive, push-based model where the UI automatically updates.
#4about 8 minutes
Applying the four principles of the Reactive Manifesto
The Reactive Manifesto's goal of responsiveness is achieved through elasticity and resilience, which are both enabled by a message-driven architecture.
#5about 7 minutes
Tracing the evolution of microservice communication patterns
Microservice architectures evolved from synchronous pull-based communication to fully asynchronous, stream-centric, and event-sourced patterns for better resilience.
#6about 2 minutes
Using GraphQL subscriptions for end-to-end streaming
GraphQL subscriptions solve the final pull-based bottleneck between the client and backend, enabling a fully push-based, end-to-end reactive system.
#7about 4 minutes
Building a real-time collaborative insurance portal
A reactive architecture with GraphQL enables real-time synchronization between an insurance agent's and a customer's UIs for a seamless collaborative experience.
#8about 4 minutes
Achieving resilience in mobile banking with projections
Projections, or specialized read models hydrated from an event store, allow mobile banking apps to remain functional for key features even when backend services are down.
#9about 1 minute
Weighing the benefits and complexity of reactive systems
Reactive architectures offer powerful benefits like resilience and real-time capabilities but come at the cost of increased complexity, so they should be adopted carefully.
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