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Xin Zhao

Head of Infrastructure, 360 Cloud Platform Division

360 Intelligent Cloud Infrastructure Department head, screen name Yu Xia, PikiwiDB (Pika) project leader, apache/dubbo-go project leader, former Ant Group seata open source leader. 2022 Open Atom Global Open Source Summit "Code Contribution Star", 2022 annual He was awarded "OSCAR Peak Open Source Personality" in 2022 by ICT, "Open Source Pioneer in 2021" by Arii, and "Open Source Product of the Year" by Science and Innovation China in 2021 for his work apache/dubbo-go. He has been working in the research and development of server-side infrastructure for four years, covering service governance, messaging middleware, SQL data middleware, NoSQL system, real-time monitoring and alerting, Service Mesh, and other infrastructure orientations. He is passionate about open source, and has participated in and improved Redis/Pika/Muduo/dubbo/dubbo-go/Sentinel-golang/Seata-golang/etcd and other well-known projects.

Topic

PikiwiDB (Pika) Cloud Native Practices and Explorations in the Age of AI

Summary of key points: This talk focuses on the innovative applications and technical practices of Pika's database in the age of AI. We will first review Pika's evolution over the past year, highlighting how it leverages Serverless architecture to effectively handle high concurrency and low latency scenarios, as well as its advantages in resource elasticity and cost control. We will then take a deeper look at Pika's hybrid storage architecture, analyzing how integrating different storage media improves the efficiency of data management, and explaining in detail the key technology of storage-computer separation and its impact on system performance and scalability. We will then look ahead to 2024 and describe Pika's specific deployment plans for Serverless databases, including new feature releases, optimization strategies, and forward-looking analysis of industry trends, with the goal of continuing to lead the way in Serverless database technology innovation and delivering more efficient and flexible data solutions to enterprises. Finally, we will share Pika's success stories and community building experiences. Presentation content: 1 History of PikiwiDB(Pika) 2 PikiwiDB(Pika) Cloud Exploration 3 PikiwiDB(Pika) User Practices 4 PikiwiDB(Pika) Community Development

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