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Understanding Kafka in the Enterprise: Webinar Series
Apache Kafka is one of the latest technical wonders to come from the open source community, and enterprise teams are just beginning to realize what Kafka can do, and how to do it. Join Red Hat as we explore real-world use cases using Kafka, and learn how to architect enterprise applications for real-time digital experiences while increasing application velocity.
The webinars in this series include:
- Application modernization: Goodbye batch data processing, hello Kafka
- Application modernization: Connecting microservices with Kafka
- How explainable, predictive decision making can help us trust our AI models
Webinar 1: Application modernization: Goodbye batch data processing, hello Kafka
In a world where customers expect real-time digital experiences, the use of batch data processing can keep an application from succeeding before it’s even launched. And yet, batch data can be found in enterprise applications everywhere, even as real-time data processing becomes critical to provide enhanced customer experiences. Traditional systems play a crucial role as one of the sources of information for our cloud-native applications and workloads. Using change data capture technology (made possible by the Debezium open source project), we can turn these systems of record into real-time event sources, allowing us to stream their data (made possible by the Kafka open source project) to anywhere in our hybrid cloud infrastructure.
The result is an incremental approach to modernizing one of the biggest bottlenecks in enterprise systems and impediments to customer satisfaction. Batch data processing can become a thing of the past, and Red Hat can show you how to adopt Apache Kafka safely and more easily in practice.
In this webinar, we’ll cover how to modernize existing applications to deliver real-time digital experiences to your customers. Join this 25-minute presentation—followed by live Q&A—to learn how to:
- Architect data-driven application across hybrid-cloud environments.
- Use Debezium to convert legacy databases into a source of streaming data.
- Connect to a Kafka service to stream the data across clouds, and to edge deployments.
Live-event date: Tuesday, November 16, 2021 | 11 a.m. ET
Speaker: Jennifer Vargas
Webinar 2: Application modernization: Connecting microservices with Kafka
Enterprises are moving to a microservice-based approach for applications. Microservices are a significant improvement over the monolithic applications of the past, providing the agility, scalability and autonomy that come with breaking big projects into smaller components. The challenge is how to connect an application’s microservices without undoing the benefits—achieving the tight coupling that traditional connectivity offers without sacrificing the agility and autonomy that are motivating microservices adoption.
Events are the key to keeping microservices loosely-coupled.Events can be shared via data streams without hard-coded connections, which makes it easier to connect microservices residing in different cloud environments. Red Hat can demonstrate how to adopt this approach to connect your microservices with Apache Kafka.
In this webinar, we’ll cover how to build new applications and modernize existing ones. Join us for a 25-minute presentation—followed by live Q&A—to learn how to:
- Architect microservices-based applications for velocity and scale.
- Connect microservices with a Kafka service that requires no additional IT resources.
- Accelerate delivery with containers and a hybrid cloud platform.
Live-event date: Wednesday, December 1, 2021 | 11 a.m. ET
Speaker: Coco Jaenicke
Webinar 3: Application modernization: Let events lead the way with Kafka
As enterprises begin cloud adoption initiatives, they need to consider which applications should stay on-premise and which should move to the cloud. Existing systems of record are often left where they are, while the most operationally expensive components are moved to the cloud—but the challenge becomes how those on-premise and cloud environments share real-time data more securely and efficiently.
Apache Kafka, Debezium, and Quarkus provide the foundational components that make these cloud adoption strategies work, and Red Hat can show you how to implement such strategies.
In this webinar, we’ll cover how to build new applications and modernize existing ones to use all your data across all your environments. Join this 25-minute presentation with live Q&A to learn how:
- Apache Kafka efficiently shares streams of data between sources and sinks.
- Debezium connects to legacy data sources.
- Quarkus acts as a framework for containerized, cloud-native applications.
Live-event date: Wednesday, January 19, 2022 | 11 a.m. ET
Speaker: Jennifer Vargas