Webinar
Going Global: Scaling Zilliz for High Availability & Low Latency
Apr 16, 2026 02:00 PM Pacific
Apr 16, 2026 05:00 PM EasternZilliz Webinar | Zoom
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About this webinar
Global AI applications need more than raw search speed. They need low-latency access across regions, resilience during outages, and reliable recovery strategies.
In this webinar, we will walk through how Zilliz enables global-scale AI systems with high availability and low latency. You’ll learn how global clusters are structured, how traffic is routed, and what happens when failures occur.
What You’ll Learn
- Live demos of global read acceleration, outage simulation, failover, backup, and restore
- Why cross-region latency is a real problem for AI applications
- How global clusters use a primary and read-only secondary architecture
- How read traffic is routed to the nearest healthy region
- What happens during failover and how write switching works
- How to think about RPO, RTO, and operational trade-offs
Meet the Speaker
Join the session for live Q&A with the speaker
Jiang Chen
Head of Ecosystem and Developer Relations
Jiang is currently Head of Ecosystem and Developer Relations at Zilliz. He has years of experience in data infrastructures and cloud security. Before joining Zilliz, he had previously served as a tech lead and product manager at Google, where he led the development of web-scale semantic understanding and search indexing that powers innovative search products such as short video search. He has extensive industry experience handling massive unstructured data and multimedia content retrieval. He has also worked on cloud authorization systems and research on data privacy technologies. Jiang holds a Master's degree in Computer Science from the University of Michigan.
Rohit Nijhawan
Solutions Architect, Zilliz
Rohit Nijhawan is a Solutions Architect at Zilliz. He works closely with enterprise customers in many verticals, enabling the design and implementation of use cases in GenAI, Recommender Systems, and semantic search using the Zilliz Cloud Vector Database. He is a seasoned big data and NoSQL architect and has worked at Databricks, Cloudera, and MongoDB. He also doubles as an advocate for developers, helping launch and test Proofs of Concept with Milvus.