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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!
Read moreKStreams Error Handling: Preserve Order with DLT & GlobalKTable
Optimizing RocksDB Memory Usage in Kafka Streams Applications
Effective Testing of Kafka Streams in Spring Boot
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
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
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
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
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!