How does Mlytics utilize real-time data for Smart Load Balancing decisions?

Question

Mlytics uses real-time performance signals to drive its Smart Load Balancing by continuously collecting measurements from CDN edge nodes and then translating those measurements into routing choices. Specifically, it gathers data through real user monitoring (RUM) and synthetic monitoring, so both actual end-user experiences and controlled test results are available when making decisions. The platform collects performance metrics every 30 seconds, which means routing can react on a short cycle rather than waiting for slower, batch-style reporting.

Accepted Answer

Those metrics are then fed into the Smart Load Balancing logic to select the “best” CDN node for each incoming request. Instead of treating all edge nodes as equivalent, the system evaluates current latency and availability signals derived from the monitoring streams, and it uses that live view to route traffic toward the node currently performing best. This design is aimed at reducing the impact of CDN instability, since the decision basis changes as conditions change across the network.

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How does Mlytics utilize real-time data for Smart Load Balancing decisions?

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