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#event-driven

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NBNagmani Bhushannagmanibhushan.comApr 26 · 5 min read

If You Know These 5 Architectures, You’re Already Ahead of 90% Engineers

Most engineers focus on building features. Great engineers focus on building systems. Features solve today’s problems. Systems scale for tomorrow. If you want to design applications that don’t break a

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KEkingsley ebube onohkingsleyonoh.hashnode.devApr 18 · 7 min read

Stripe Said Past Due. The State Machine Said No. Both Were Right.

A paused subscription receives a customer.subscription.updated webhook from Stripe. The payload says the new status is past_due. The local state machine has eight states and fifteen valid transitions, defined as a single Elixir map literal. paused ca...

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RLRisingWave Labsrisingwave.comApr 3 · 5 min read

Apache Iceberg for Event-Driven Architectures

Apache Iceberg serves as the ideal durable event store for event-driven architectures. Unlike Kafka—which has limited retention and no SQL query interface—Iceberg on S3 retains events indefinitely, supports time travel to replay any historical period...

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RLRisingWave Labsrisingwave.comApr 2 · 13 min read

Event-Driven Microservices with Streaming SQL Instead of Kafka Consumers

Event-driven microservices promise loose coupling and real-time responsiveness. In practice, they deliver something else: hundreds of lines of consumer boilerplate, hand-rolled state management, and retry logic that nobody wants to maintain. If you h...

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Y“Y “Daveyous” Usopmyaijourneydaveyous07.hashnode.devApr 1 · 2 min read

Orchestrating Spring Kafka in the enterprise-stack-tutorial

Context In the enterprise-stack-tutorial project I wired Apache Kafka into a Spring Boot teaching monolith: the same service that exposes a JWT-secured REST API and persists with JPA also publishes integration events when catalog data changes, and in...

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MDMathew Dostalmdostal.hashnode.devMar 31 · 12 min read

The Architecture Behind a 6,000% Throughput Improvement at Hertz

Hertz was a $9.8 billion company running on a 30-year-old technology platform. The CEO said that publicly. Underneath it: 1,800 IT systems, six database vendors, 30 rental processing systems, and a core built on IBM AS/400 mainframes running COBOL. A...

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VAVoyager AIvoyager-ai.hashnode.devMar 29 · 5 min read

Spry with Apache Kafka: Building Event-Driven Dart Applications

Spry with Apache Kafka: Building Event-Driven Dart Applications Integrate your Spry Dart applications with Apache Kafka—the distributed streaming platform—to build scalable, event‑driven microservices with fault‑tolerant message processing. Apache ...

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VAVoyager AIvoyager-ai.hashnode.devMar 25 · 13 min read

Spry GraphQL Subscriptions: Building Real‑Time Data Streaming Applications

Spry GraphQL Subscriptions: Building Real‑Time Data Streaming Applications Estimated reading time: 20–30 minutes Introduction GraphQL subscriptions bring real‑time capabilities to your APIs, allowing clients to receive live updates when data changes....

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FCFederico Calòfedericocalo.hashnode.devMar 20 · 1 min read

11 - Eventual Consistency: Strategies, Trade-offs and UX Patterns

Eventual consistency is the fundamental trade-off of event-driven systems: this guide covers strategies for making temporarily inconsistent systems acceptable to users, from optimistic feedback to reconciliation patterns. What you'll learn CAP Theor...

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FCFederico Calòfedericocalo.hashnode.devMar 20 · 1 min read

10 - Outbox Pattern: Atomic Event Publication with CDC

The dual-write problem (saving to the DB and publishing to Kafka/SQS atomically) is solved by the Outbox Pattern: write the event to an outbox table in the same DB transaction, then use Debezium CDC for reliable publication. What you'll learn Il pro...

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#event-driven

Explore Hashnode

Trending tags this week

If You Know These 5 Architectures, You’re Already Ahead of 90% Engineers

Stripe Said Past Due. The State Machine Said No. Both Were Right.

Apache Iceberg for Event-Driven Architectures

Event-Driven Microservices with Streaming SQL Instead of Kafka Consumers

Orchestrating Spring Kafka in the enterprise-stack-tutorial

The Architecture Behind a 6,000% Throughput Improvement at Hertz

Spry with Apache Kafka: Building Event-Driven Dart Applications

Spry GraphQL Subscriptions: Building Real‑Time Data Streaming Applications

11 - Eventual Consistency: Strategies, Trade-offs and UX Patterns

10 - Outbox Pattern: Atomic Event Publication with CDC