In this webinar, Patrick McFadin and Matt Kennedy discuss the Storage Attached Index (SAI) feature in Apache Cassandra. They explain how SAI improves performance by reducing disk usage and write amplification, making it a more efficient indexing solution compared to previous methods like SASI. The presenters also share details about the development process for SAI, its implementation in Astra and DSE, and future plans for incorporating geospatial support. They encourage viewers to participate in the Cassandra Enhancement Proposal (CEP) process by joining the ASF Slack or dev mailing list, and provide a downloadable Studio notebook for users to explore SAI on their own. The webinar concludes with a Q&A session addressing various aspects of SAI, such as its performance trade-offs, storage limits, and comparison with DSE Search.