This invention describes a way for computer systems that monitor other computer services to work more efficiently. When different services need to track their performance using similar underlying data, the system identifies the common parts of that data. Instead of running separate data searches for each service's performance metric, it runs one combined search for the shared data, then uses those results to calculate the individual performance metrics for all the relevant services. The claims specifically focus on how the definition of each performance metric points to this shared search.
Why it matters: The increasing scale and complexity of distributed IT environments since 2022 have made efficient data querying and cost optimization for monitoring systems even more critical. This method directly addresses the growing challenge of managing vast, redundant machine data searches.
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