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Next Generation Control Rooms | Using Apache Kafka to manage energy grid IT infrastructure

In this webinar, Jeroen van Disseldorp (Founder & CEO Axual) and Laurent Schmitt (President of Digital4Grids) delve into the following key topics: 1. Evolution from SOA to Event Streaming: Discover why it's essential to transition from traditional Service-Oriented Architectures to the agility and scalability of event streaming frameworks. 2. Adoption of Open-Source Platforms: Explore the advantages of embracing open-source platforms like Apache Kafka for seamless and effective data streaming in the energy sector. 3. TSOs and DSOs as Technology Integrators: Understand the critical role of TSOs and DSOs as integrators of cutting-edge technologies, driving innovation and efficiency in the industry. 00:00 Introduction 01:32 Historic and current paradigms of energy grids 05:48 Key use cases for grid expansion 08:36 Integration beyond traditional control room boundaries 09:48 Enabling interoperability through standardized data structures 12:10 Why should you move to new OT architectures? 16:57 What is Kafka4Power? 21:30 Kafka4Power deployment for TSO-DSO coordination 25:49 Reference case TenneT 27:21 Reference case EDDIE 30:10 Reference case Eneco 32:21 How to get started with Kafka4Power 36:17 Question 1 "Will there be a standardized data payload for all use cases?" 38:32 Question 2 "Are digital twins a typical use case for Apache Kafka?" 40:23 Question 3 "We already use Kafka, can we still use the Kafka4Power environment?" 41:26 Question 4 "Who are the competitors within the Kafka energy space?" 42:32 Question 5 "How are you aligning open-source with Kafka4Power?" 43:49 Question 6 "CIM data is heavy compared to SCADA, do you believe Kafka can handle it form a scalability and performance perspective?" 46:42 Question 7 "How do you decouple and standardize between different parties?" 49:17 Question 8 "What are the other references beyond the three mentioned cases?" 50:47 Question 9 "Is this only for TSOs to share data internally?" 51:41 Question 10 "What is the average time to deploy such a system?" 54:03 Question 11 "Is it possible to build enterprise dashboards using Kafka4Power?" 55:04 Question 12 "Is Kafka fast enough for real-time dashboards, does it need to consume directly from topics?" 56:35 Question 13 "Are there any technical limitations that you see regarding Kafka?"

Running Kafka in Kubernetes : a practical guide

The rise of Apache Kafka as the de-facto standard for event streaming has coincided with the rise of Kubernetes for cloud-native applications. While Kubernetes is a great choice for any distributed system, that doesn't mean it is easy to deploy and maintain a Kafka cluster running on it. At IBM we have hands-on experience with running Kafka in Kubernetes and in this session I will share our top tips for a smooth ride. I will show an example deployment of Kafka on Kubernetes and step through the system to explain the common pitfalls and how to avoid them. This will include the Kubernetes objects to use, resource considerations and connecting applications to the cluster. Finally, I will discuss useful Kafka metrics to include in Kubernetes liveness and readiness probes.

5 stages of event-driven architecture (EDA) with Kafka for the finance industry

A lot of financial services companies want to move towards an event-driven architecture (EDA) and real-time data integration. But, where do you start? Watch this webinar as we discuss: - The 5 stages of event-driven architecture and how to go from experiments to centralized event streaming - How Rabobank and Volksbank, two leading banks in the Netherlands, scaled Kafka across 200+ teams with self-service - Live 15-minute demo of Axual's all-in-one Kafka platform for enterprises

Combining APIs with events: Use cases for real-time banking

Welcome to today's webinar, Combining APIs with Events: Use Cases for Real-Time Banking. In an increasingly digital world, the demand for immediate access to financial data, seamless transactions, and personalized services is greater than ever. Banks and financial institutions are evolving rapidly, adopting cutting-edge technologies to meet customer expectations for real-time solutions. This session will dive into how combining APIs with event-driven architectures is transforming banking operations. We'll explore the synergy between APIs and real-time events, unpack key use cases, and demonstrate how these technologies empower financial institutions to deliver faster, more secure, and highly responsive services.