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Billions of Logs, Sub-Second Answers: A New Take on Observability

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Billions of Logs, Sub-Second Answers: A New Take on Observability Observability costs scale with ingest, which is why per-GB licensing tends to grow faster than the value of the logs themselves. The usual escape route, a self-run open source stack, trades the bill for an operational burden nobody signed up for. This session looks at consolidating logs and metrics onto EDB Postgres AI with ClickHouse instead: what changes about ingest, retention, and query economics, and what you keep in terms of support and governance. The demo covers billions of log and metric records ingested and served with sub-second response, including time-series analysis and the dashboards built on top.