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The RED Method helps monitor microservices using Rate, Errors, and Duration metrics.

Backpressure helps manage message flow in Kafka during traffic spikes.

Distributed backpressure helps manage the flow of work between services to prevent overload.

L4 and L7 load balancers differ in how they route network traffic based on layers of the OSI model.

Backpressure prevents system overload by managing message processing rates in Kafka.

Latency is the time for one request, while throughput is how many requests are processed.