According to a recent LinkedIn post from ClickHouse, the company’s Head of Observability, Michael Shi, is scheduled to speak at the Observability Summit North America on May 21. The post indicates that his talk will focus on accurately computing p99 latency and quantile estimations at petabyte scale, including techniques such as t-digest and the tradeoffs between query-time and pre-aggregation.
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The post suggests that ClickHouse is positioning its observability expertise as a differentiator for large-scale, latency-sensitive analytics workloads. For investors, this emphasis on advanced performance engineering could signal continued product maturity and relevance for customers with demanding real-time use cases, potentially supporting longer-term adoption and competitive positioning in the high-performance database market.