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This talk explains how a sub-second query engine for real-time observability was extended from in-memory data to local SSD and cloud storage using serverless functions. It examines scaling challenges including concurrency limits, runtime and architecture configuration, experimentation, and the cost-performance tradeoffs of large parallel workloads.
