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

Service Discovery helps microservices locate each other dynamically without fixed IP addresses.

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

Timeouts in distributed systems indicate suspicion, not confirmed failure.

Choosing the right boundaries for microservices is crucial for effective architecture.

DNS helps microservices find each other, but it has limitations that may require a service registry.

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

Cascading failures occur when one service's failure impacts others, causing widespread issues.

Correlation IDs help track requests in microservices for easier debugging.

Database per Service ensures each microservice owns its data, reducing dependencies.

Microservices are useful when you need independent scaling, deployment, and clear boundaries in software design.