Confluent Confab with Lyft – San Francisco

Confluent Confab with Lyft – San Francisco

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Production Ready Kafka on Kubernetes

Join your peers and Confluent experts in San Francisco on September 26, 2019, to hear about Lyft’s overlay-free Kubernetes networking driver and how they use it to keep performance on par with non-Kubernetes clusters

Getting Kafka running on Kubernetes is only step one of a journey to create a production-ready Kafka cluster. This talk walks through the other steps: 1) Monitoring and remediating faults. 2) Updates to Kubernetes nodes for clusters not using shared storage. 3) Automating Kafka updates and restarts. Lyft presents how to create fault-tolerant Kafka clusters on Kubernetes without sacrificing availability, durability, or latency. Learn about Lyft’s overlay-free Kubernetes networking driver and how they use it to keep performance on par with non-Kubernetes clusters.

Founded by the original creators of Apache Kafka®, Confluent provides the industry’s only enterprise-ready event streaming platform, with solutions focused on solving key initiatives around application and microservices integrations, stream processing, real-time data pipelines, real-time monitoring and multi-cloud streaming. Confluent’s solutions have helped organizations including Centene, Ticketmaster, Lyft, JPMorgan Chase, RBC and Dominos Pizza to adopt this event streaming paradigm shift with the ease-of-use, scalability, security and flexibility required to run their business in real time.

Space is limited, so register today!

When
Thursday, September 26, 2019
4:30 pm-6:30 pm PT

Where
Confluent Office
524 3rd Street
San Francisco, CA 94107

Agenda
4:30-4:45 pm – Arrivals, Appetizers & Cocktails
4:45-4:50 pm – Welcome & Intros
4:50-5:15 pm – Modernizing Your Application Architecture with Event Streaming
5:15-5:45 pm – Customer User Case by Lyft
5:45-6:15 pm – Panel Discussion
6:15-6:30 pm – Q&A & Next Steps

Speakers

Devendra Tagare

Devendra Tagare, Engineering Manager, Streaming Platforms, Lyft

Raj Sagiraju

Raj Sagiraju, Systems Engineer, Confluent

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