In a case study, a microservice experiences slowdowns due to a single database becoming a bottleneck. What practical solution is most likely recommended?

medium📝 Analysis Q6 of 15

Microservices - Real-World Architecture Case Studies

AImplement database sharding or separate databases per service

BIncrease synchronous calls between services

CMerge all microservices into a monolith

DUse a single shared cache for all services

Step-by-Step Solution

Solution:

Step 1: Identify bottleneck cause
A single database can limit throughput and scalability.
Step 2: Apply practical fix
Sharding or separate databases reduce contention and improve performance.
Final Answer:
Implement database sharding or separate databases per service -> Option A
Quick Check:
Database partitioning alleviates bottlenecks [OK]

Quick Trick: Partition databases to remove bottlenecks [OK]

Common Mistakes:

Increasing synchronous calls worsens bottlenecks
Merging services reduces modularity and scalability
Using shared cache doesn't solve DB contention

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More Microservices Quizzes

In a case study, a microservice experiences slowdowns due to a single database becoming a bottleneck. What practical solution is most likely recommended?

Step 1: Identify bottleneck cause

Step 2: Apply practical fix

Final Answer:

Quick Check:

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