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One of the challenges with distributed systems is that they are made up of many interdependent services, which add a degree of complexity when you are trying to monitor their performance. Determining which services and APIs are experiencing high latencies or degraded availability requires manually putting together telemetry signals. This can result in time and effort establishing the root cause of any issues with the system due to the inconsistent experiences across metrics, traces, logs, real user monitoring, and synthetic monitoring.
You want to provide your customers with continuously available and high-performing applications. At the same time, the monitoring that assures this must be efficient, cost-effective, and without undifferentiated heavy lifting.