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Mixing Streams and Batches: A Practical Approach for Legacy Upgrades

Check out how Benjamin modernizes legacy batch systems using Kafka Streams and Spring Batch. Bridge the gap between event-driven and file-based processing!

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KStreams Error Handling: Preserve Order with DLT & GlobalKTable

Optimizing RocksDB Memory Usage in Kafka Streams Applications

Effective Testing of Kafka Streams in Spring Boot

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Beyond DLTs: Build Reliable EDA Integrations with our Sink Gateway

DLTs aren't enough for reliable EDA integrations. Learn how our Sink Gateway ensures data consistency with robust retries and guaranteed event ordering.

Integrating Salesforce in an Event-Driven Architecture

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Enhanced Cybersecurity through Event-Driven Architectures

In this blog, we'll take a closer look at the benefits of using an Event-Driven Architecture, which challenges you'll need to consider, and which strategies and tools can help you overcome these challenges.

Apache Flink: Introduction to the DataStream API

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Mastering Your EDA: Event Ordering and Smooth Schema Evolution

In this technical deep dive, we'll explore best practices for setting up event ordering in Kafka. We'll also discuss some common challenges encountered in real-world projects and how to address them effectively. Let's get started.

Mastering Flink Job and Task Managers

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Compliance and Data Retention in Event-Driven Architecture

Compliance and data retention are critical components of any EDA, but organisations tend to overlook them. In this blog, we’ll explore the importance of both aspects and discuss strategies for managing these complex issues.

Streamline Kafka Streams with Spring Boot

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Enhance AI-driven Processes with EDA

Why do more and more businesses want to combine their AI-driven efforts with EDA? Is it just because they are implementing this new architecture anyway, or does it provide tangible benefits? In this blog, we'll explain how EDA and AI can enhance each other. Let's dive in!