Скачать или смотреть 7. Error rate and Drop rate

In this video, we dive deep into system design concepts focusing on Error Rate and Drop Rate — two critical metrics every engineer should understand.

We’ll cover:

What is Error Rate?
How to define errors in a system?
Different types of errors (client, server, network, application-level)
How to monitor errors effectively
Role of observability – metrics, alerts, logs, and traceability
What is Drop Rate and how to calculate it

Common reasons why drop rate occurs (network latency, server overload, resource bottlenecks, etc.)

Best practices for monitoring and reducing errors & drops in distributed systems

Whether you are preparing for system design interviews or building scalable, reliable applications, understanding error rate and drop rate is crucial.