Three years ago, we open-sourced Quickwit, a distributed search engine for large-scale datasets. Our goal was ambitious: to create a new breed of full-text search engine that is ten times more cost-efficient than Elasticsearch, significantly easier to configure and manage, and capable of scaling to petabytes of data 1.While we knew the potential of Quickwit, our tests typically did not exceed 100 TB of data and 1 GB/s of indexing throughput. We lacked the real-world datasets and computing resour...