As businesses increasingly operate in hybrid and multi-cloud environments, managing data across these complex setups presents unique challenges and opportunities. This presentation provides a comprehensive guide to building a global-scale data platform using cloud-native tools. We will explore considerations, best practices, and pitfalls for deploying and managing scalable, cost-efficient, and high-performing data architectures that leverage various data storage solutions—including files, object stores, databases, and more—in cloud-native environments. Key topics include best practices for cloud storage, compute decoupling, ensuring high availability and data redundancy, and balancing the power of cloud providers while controlling costs.
Attendees will gain insights into automating data operations, leveraging cloud-native solutions, and avoiding common pitfalls in building scalable data infrastructures.
Speaker
George Hantzaras
Director of Engineering, Core Platforms @MongoDB
George is a distributed systems expert and a hands-on engineering leader. He is a Director of Engineering at MongoDB, focusing on implementing cloud native technologies at enterprise scale. He is an Ambassador of the Data on Kubernetes community and the author of The Platform Engineering Playbook, by Packt. Most recently, he has been a speaker at global events like Kubecon, OpenSource Summit, Hashiconf, LeadDev, SaaStr, and more.
