In a microservices architecture with many small services causing slow and error-prone deployments, what is the expected impact of reverting to a monolith?

medium📝 Analysis Q5 of 15

Microservices - Real-World Architecture Case Studies

AError rates increase because of tightly coupled modules

BDeployment speed decreases due to larger codebase size

CDeployment speed improves due to fewer independent components

DNo change in deployment speed or error rates

Step-by-Step Solution

Solution:

Step 1: Analyze deployment complexity
Many small services increase deployment overhead and coordination complexity.
Step 2: Effect of monolith
Reverting to a monolith reduces the number of deployable units, simplifying deployment and reducing errors.
Final Answer:
Deployment speed improves due to fewer independent components -> Option C
Quick Check:
Fewer deployable units mean faster, less error-prone deployments [OK]

Quick Trick: Fewer services simplify deployment, speeding it up [OK]

Common Mistakes:

Assuming larger codebase always slows deployment
Believing tight coupling always increases errors

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More Microservices Quizzes

In a microservices architecture with many small services causing slow and error-prone deployments, what is the expected impact of reverting to a monolith?

Step 1: Analyze deployment complexity

Step 2: Effect of monolith

Final Answer:

Quick Check:

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