Modern Cloud-Native Streaming Platforms: Event Streaming Microservices with Apache Kafka® on Kubernetes

Apache Kafka®️ 비용 절감 방법 및 최적의 비용 설계 안내 웨비나 | 자세히 알아보려면 지금 등록하세요

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Microservices, events, containers, and orchestrators are dominating our vernacular today. As operations teams adapt to support these technologies in production, cloud-native platforms like Pivotal Cloud Foundry and Kubernetes have quickly risen to serve as force multipliers of automation, productivity and value.

Apache Kafka® is providing developers a critically important component as they build and modernize applications to cloud-native architecture.

This talk will explore:

Why cloud-native platforms and why run Apache Kafka on Kubernetes?
What kind of workloads are best suited for this combination?
Tips to determine the path forward for legacy monoliths in your application portfolio
Demo: Running Apache Kafka as a Streaming Platform on Kubernetes

Michael NgProduct Management

Michael Ng is a Product Manager at Confluent and is responsible for deployment strategies for Confluent Platform – which includes deploying the entire Confluent Platform software stack at any scale on any Kubernetes distribution. Michael has had a diverse career working on data protection with Veritas software, software defined storage at VMware and a distributed streaming data platform at Confluent. His interests lie in real time data analytics, distributed systems, storage and data protection.

Kamala DasikaProduct Marketing, Cloud Platform and Ecosystem

Kamala leads GTM with Pivotal Cloud Foundry technology partners. She has been working at Pivotal since 2013 and has previously held various product or engineering positions at VMware, Tibco, SAP, and Applied Biosystems. Kamala is a frequent speaker at conferences including Cloud Foundry Summit, DevOps World, SpringOnePlatform, and Linux Collaboration Summit in the past 2 years. Kamala holds a B.S.E in Computer Engineering and an M.B.A., Marketing Management.