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Event streaming empowers companies to service their customers faster and better and accelerate their business processes. It is no surprise to see that streaming engines such as Kafka gained popularity. In this talk, we will go through the 5 stages of event-driven architecture and share some insights into our journey at scaling Kafka at Rabobank. How can you make the adoption of Kafka a success in your organization? And, how can you scale data governance and security to stay in control?

Legacy systems are the backbone of many organizations, encapsulating years of critical data. Despite the emergence of modern technologies, these systems remain indispensable. Migrating away from them is often not an option due to its complexity. Instead, the focus should be on unlocking the value trapped within these systems. That’s where Apache Kafka comes in. Join our webinar to learn: - Data unlocking techniques: discover how to break down data silos and make legacy system data accessible to your teams without disrupting existing operations. We'll cover technologies like Apache Kafka and how they can act as a central hub for data streams. - Implementing data governance and security: once data is accessible, maintaining its integrity and security is crucial. Learn best practices for data governance and security to ensure that your data remains compliant. - Integrating data back into legacy systems: understand the importance of integrating data changes back into legacy systems. We’ll explore how to set up topics and special integrations to process and apply requested changes efficiently. 00:00 Introduction 01:25 How IT landscapes build up over time 02:52 Who uses legacy systems? 05:46 Why are legacy systems still used? 08:53 When are legacy systems becoming troublesome? 09:47 When do systems become legacy? 13:10 The risk of keeping legacy systems and applications 16:00 Strategies for modernizing legacy systems 18:52 The two mechanisms to encapsulate legacy systems 19:17 Events vs APIs 24:48 When to prefer APIs, and when to prefer events 26:42 Examples of legacy systems API calls 27:44 Examples of legacy systems events 28:22 How to emit events from legacy systems 29:17 Expose your business events in 7 steps 35:05 Out of the box connectors supported by Axual 35:25 KSML 36:22 How Axual allows organizations to scale arround Kafka 37:05 Reference case: Eneco 38:33 Reference case: Permanent TSB 39:19 Reference case: PostNL 40:28 Looking to modernize your IT landscape 41:59 Question 1: Can you build this with open source Kafka? 42:10 Question 2: Can Kafka improve the performance of my legacy systems? 44:02 Question 3: Axual platform is Strimzi based, have you worked with environments that were running open source Strimzi before? 45:57 Question 4: Who decides who gets access to which data? 49:03 Question 5: How long on average does it take to get some first data to our systems?

Virtual launch event of Axual Governance. With Axual Governance, organizations are able to scale their development teams around a central Kafka. Our platform comes with built-in self-service and governance functionalities to unlock the full potential of Kafka for your development teams.

In this video, you'll learn how to efficiently get data in and out of a streaming platform. We’ll cover key techniques for ingesting data from various sources, processing it in real-time, and exporting the processed results to external systems. Whether you're dealing with Apache Kafka, AWS Kinesis, or another platform, you'll discover essential strategies for managing data streams seamlessly and integrating them into your workflows.

In this video i'll show you how you can request approval to a stream in Axual and how you can deny or approve that request.

In this third episode, Abhinav will show us how to produce and consume data from a data streaming application in the Axual Platform.