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Latest post
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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PODCAST (S1 - E4): The importance of Platform Engineering in EDA
Meet Jose Manuel Cristóbal, Director Platform Engineering at Adidas. Together with Bryan, he'll discuss the importance of Platform Engineering with Kafka and it's ecosystem. They'll be talking about how this can be organized and their experiences with these kind of fast data platforms.
KStreams Error Handling: Preserve Order with DLT & GlobalKTable
PODCAST (S1 - E3): Governance and Event Discovery in EDA
Meet David Boyne, developer advocate, speaker & creator of the Event Catalog! Together with Kris, he'll be sharing his insights in why it is important to proper governance in Event-Driven Architecture and how he got in to building his own open source solution called Event Catalog.
Optimizing RocksDB Memory Usage in Kafka Streams Applications
PODCAST (S1 - E2): EDA in the Financial Sector
Meet Anatoly Zelenin, Kafka Trainer & author of the German Kafka Book. You'll learn more about how he implemented best practices with Kafka in both IoT and Finance environments, what drove him to write the very first German Kafka Book and how Tiered Storage with Kafka has changed the way of thinking of retaining data on Kafka.
Effective Testing of Kafka Streams in Spring Boot
PODCAST (S1-E1): How to integrate SAP into an Event-Driven Architecture?
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.