Lessons from microservices failures - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is a common cause of microservices failures related to service dependencies?

Tight coupling between services causes failures to cascade when one service goes down.

beginner

Why is proper monitoring important in microservices architectures?

Monitoring helps detect failures early and understand system health to prevent outages.

intermediate

What lesson can be learned about data management from microservices failures?

Avoid sharing databases directly between services to prevent data corruption and tight coupling.

intermediate

How does network latency affect microservices reliability?

High latency can cause timeouts and failures; designing for retries and timeouts is essential.

advanced

What is the importance of designing for failure in microservices?

Systems should expect failures and handle them gracefully to maintain availability and user experience.

What is a key reason microservices fail due to tight coupling?

A One service failure causes others to fail

B Services run on the same server

C Services use different programming languages

D Services have separate databases

Tight coupling means services depend heavily on each other, so one failure cascades.

Which practice helps prevent cascading failures in microservices?

A Using circuit breakers

B Sharing a single database

C Ignoring timeouts

D Hardcoding service URLs

Circuit breakers stop calls to failing services to prevent cascading failures.

Why should microservices avoid sharing databases directly?

A It simplifies deployment

B It improves performance

C It causes data corruption and tight coupling

D It reduces network traffic

Sharing databases tightly couples services and risks data integrity.

What role does monitoring play in microservices?

A Eliminate the need for retries

B Increase network latency

C Replace logging

D Detect failures early and understand system health

Monitoring provides visibility to detect and respond to issues quickly.

Designing for failure means:

A Avoiding failures by not using microservices

B Expecting failures and handling them gracefully

C Restarting services manually

D Ignoring errors to improve speed

Systems should be resilient by anticipating and managing failures.

Explain the main lessons learned from microservices failures related to service dependencies and data management.

Think about how services depend on each other and share data.

Describe how monitoring and designing for failure improve microservices reliability.

Consider how to keep the system healthy and responsive despite failures.