This invention describes a way for computers to automatically spot problems in other running software. It uses special rules, stored in memory, that are built from smaller checks for specific conditions and logical combinations of those conditions. When a problem is detected, the rules can also gather specific details, like timing information or data from the running software, to help figure out how to fix it.
Why it matters: Filed before the widespread adoption of cloud-native and microservices architectures, which dramatically increased the complexity of software deployments. The need for automated problem detection and root cause analysis, leveraging rich telemetry data, is now critical for managing these highly distributed systems.
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