Join your TELUS peers to learn how to create a unified environment for application development, delivery, integration, and automation.
In this session we will explore Apache Kafka, a leading real-time, distributed messaging platform for building data pipelines and streaming applications.
You will see how uniting the massive scalability of Kafka on an elastic platform like OpenShift can enable TELUS to provide Kafka as a service. Using Kafka, applications can:
- Publish and subscribe to streams of records.
- Store streams of records.
- Process records as they occur.
Kafka makes all of this possible while being fast, horizontally scalable and fault tolerant. This makes Kafka suitable for a large range of use cases, including website activity tracking, metrics and log aggregation, stream processing, event sourcing, and IoT telemetry.
Live event date: Wednesday, August 19, 2020 | 2 p.m. ET
Martin Sauve
Middleware Solutions Architect, Red Hat
Martin has been with Red Hat for more than 6 years, most recently as a Principal Solutions Architect. He specializes in the development of modern applications and in development methodologies and tools, specifically with regard to cloud computing, mobility, and agility. His areas of expertise include microservices, containers, Linux®, Kubernetes, application programming interfaces (APIs), OpenShift, DevOps, and automation.
Martin is the author of several presentations, demonstrations and user guides for DevOps, containers, and microservices. A certified business architect, he has been developing web, mobile and integration applications for 20 years. Martin worked for several research institutes, telecommunications companies, and software publishers. Always on the lookout for new trends, tools and processes, he wants to help customers make better use of technology, increase IT efficiency, and work better with business lines.
