WeAreDevelopers LIVE β€’ Mar 23, 2021

Rethinking Reactive Architectures with GraphQL

David Leitner

Frontend polling loops are dead. GraphQL subscriptions natively close the synchronous HTTP gap, unlocking end-to-end reactive architectures. Learn to eliminate complex caching while boosting system resilience.

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#1 about 4 min

Defining reactive programming through asynchronous data streams

Moving from synchronous values and promises to asynchronous streams mapped across space and time.

#2 about 5 min

Applying the destiny operator in reactive workflows

Explicit bindings and stream transformations propagate state changes automatically without manual data pulling.

#3 about 4 min

Shifting from pull-based to push-based interfaces

Replacing polling rest protocols with asynchronous stream subscriptions unlocks automatic user interface updates.

#4 about 6 min

Scaling software concepts to system architecture

Achieving critical responsiveness and elasticity metrics via message-driven infrastructure design.

#5 about 4 min

Isolating latency logic inside event queues

Utilizing message queues to decouple internal microservices prevents cascading latency failovers under load.

#6 about 7 min

Tracing the evolution of event-sourced microservices

System interconnectivity transitioned from synchronous service bridges to centralized event stores and serverless workflows.

#7 about 4 min

Completing the reactive chain with graphql

Streaming data channels replace traditional http request cycles by continuously syncing backends with frontends.

#8 about 4 min

Building real-time collaborative insurance interfaces

Multi-channel event synchronization powers connected digital experiences and remote cobrowsing without manual page reloads.

#9 about 4 min

Bypassing cache invalidation through streaming projections

Resilient banking interfaces hydrate localized read models directly from raw immutable events.

#10 about 2 min

Evaluating the operational complexity of reactivity

The advanced resilience capabilities provided by decentralized asynchronous networks demand dedicated maintenance evaluation over time.

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