Any concept.
clear in 60 seconds.

Timeouts in distributed systems indicate suspicion, not confirmed failure.

Availability is about access; reliability is about correct performance.

The USE Method helps find and analyze infrastructure bottlenecks in software systems.

An error budget shows how much downtime is acceptable while meeting reliability goals.

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

A timeout indicates a deadline was exceeded, not necessarily a failure.

Lamport Timestamps help order events in distributed systems while preserving causality.

In distributed systems, timestamps don't always reflect the true order of events.

Latency, throughput, and response time are key metrics in system performance.

Physical time tells when events happen, while logical time tells their order.

Fail-stop means a system stops and stays down, while fail-recover means it can come back but needs to be ready.

Logs, metrics, and traces help engineers debug issues in software systems.

SLIs measure service performance, SLOs set reliability targets, and SLAs are customer agreements.

The CAP Theorem explains the trade-offs in distributed systems during network failures.

Observability helps engineers understand system behavior to debug production issues effectively.

Partial failure means some services fail while others keep running, impacting system reliability.

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

Dependency failures can disrupt applications, but resilience patterns can help manage them.

Network partitions occur when servers are operational but can't communicate, affecting system performance.

Fallbacks allow systems to handle failures safely and maintain user experience.

Crash failures stop a service, while network failures disrupt communication.