WEBINAR | AUG 28, 10AM PT
Modernize Your Real-Time Data Platform: From Kafka + ksqlDB to Redpanda + Timeplus
Gang Tao
Bryan Wood
As data volumes explode and real-time requirements intensify, traditional Kafka + ksqlDB architectures are reaching their operational and economic limits.
Join Gang Tao (CTO, Timeplus) and Bryan Wood (Solutions Engineer, Redpanda) for an exclusive technical demonstration showing how enterprises are successfully modernizing their real-time data platforms.
Whether you're struggling with Kafka's operational complexity, hitting ksqlDB's query limitations, or simply planning your next-generation data architecture, this webinar is for you. We'll showcase real customer stories, demonstrate zero-downtime migration approaches, and share the tools and strategies needed to modernize your streaming infrastructure at scale.
Explore ways to:
Automate tasks across your pipeline
Improve efficiency without compromising on performance
Gain full observability into your streaming data in real time
Plus, discover new features in Timeplus: Versioned & Coalesced Mutable Stream, HTTP/Elastic Search Sinks, DLQ (Dead Letter Queue), and more
Register today to save your spot! If you can't make it, register anyways and we'll send you a recording of the session.
WHEN:
Thursday, August 28, 2025
10:00-10:30am PT
WHAT:
Modernize Your Real-Time Data Platform: From Kafka + ksqlDB to Redpanda + Timeplus
Meet Our Hosts
Gang Tao
CTO, TIMEPLUS
Gang has 20+ years of experience in software development, and is a recognized expert of AI, BI, big data and data visualization. Prior to Timeplus, he was the Principal Engineer of Splunk's ML and Data platform. Gang is also a die-hard fan of AC Milan.
Bryan Wood
SOLUTIONS ENGINEER, REDPANDA
Bryan is a creative technology leader passionate about driving positive change and leading teams on the journey of continuous improvement. He focuses on delivering better product quicker through low-friction interactions, automation, and seamless integration with product organizations and stakeholders.