In today's data-driven world, organizations face the challenge of efficiently managing and storing massive amounts of data. Migrating data from one cloud provider to another can offer cost savings and enhanced performance capabilities but also presents significant technical hurdles. This talk delves into the complexities of migrating a substantial 250PB of data from AWS to Google Cloud, a project that resulted in $20 million in annual savings.

Drawing on a concrete case study from Box Inc., the session offers a deep dive into the strategies and technologies employed to achieve a seamless transition between these two leading cloud providers. Attendees will explore the innovative approach our team took to design and implement a reliable, safe migration methodology which ensured data integrity and minimal downtime. We will explore the implementation of a hybrid cloud storage strategy that added "an extra 9" to the service level agreement (SLA), thereby ensuring superior reliability of the storage systems.

Key takeaways for participants include insights on managing distributed systems at a petabyte scale, handling enterprise-grade document storage systems, and the strategic considerations involved in selecting technology stacks. Attendees will also gain practical knowledge of leveraging technologies such as Kubernetes, Docker, and microservices architecture to build scalable, low-latency cloud storage solutions.

This discussion will benefit software engineers and cloud architects interested in system optimization, large-scale data management, and those looking for actionable insights into executing a successful cloud migration strategy. The session promises to equip participants with the tools and frameworks necessary to navigate their own cloud storage migrations, enhancing both operational efficiency and cloud infrastructure scalability.