“For me, the most challenging and surprising thing is I’ve got 130 owners plus that I work with all the time,” he says. “Life comes at them all the time… family issues and health issues and business issues… so the challenging part for me is still keeping them on track and working and building their business.”
As a new user, ClickHouse can often seem like magic - every query is super fast, even on the largest datasets and most ambitious queries. Invariably though, real-world usage tests even the limits of ClickHouse. Queries exceeding memory can be the result of a number of causes. Most commonly, we see large joins or aggregations on high cardinality fields. If performance is critical, and these queries are required, we often recommend users simply scale up - something ClickHouse Cloud does automatically and effortlessly to ensure your queries remain responsive. In self-managed clusters, this is sometimes not trivial, and users have a few options:
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对独立模型公司来说，这种 Agent 类应用最大的价值，不是又多了一个演示场景，而是它把模型调用从零散的聊天需求，变成了长时、连续、高密度的真实消耗。
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