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Microservicessystem_design~20 mins

Why gradual migration reduces risk in Microservices - Challenge Your Understanding

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Challenge - 5 Problems
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🧠 Conceptual
intermediate
2:00remaining
Why is gradual migration safer in microservices?

In microservices migration, why does moving components gradually reduce risk compared to a big-bang migration?

ABecause it eliminates the need for monitoring after migration
BBecause it requires shutting down the entire system during migration
CBecause it allows testing and fixing issues step-by-step without affecting the whole system
DBecause it forces all teams to work on the migration simultaneously
Attempts:
2 left
💡 Hint

Think about how small changes help catch problems early.

Architecture
intermediate
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Which architecture supports gradual migration best?

Which architectural pattern best supports gradual migration in microservices?

AMonolithic architecture with a single deployment
BBig-bang rewrite with full system replacement at once
CTightly coupled services with shared databases
DStrangler Fig Pattern, where new features replace parts of the old system gradually
Attempts:
2 left
💡 Hint

Think about a pattern that lets you replace parts slowly.

scaling
advanced
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How does gradual migration affect system scalability?

During gradual migration to microservices, how does the approach impact system scalability?

AIt forces scaling the entire system at once, causing resource waste
BIt allows scaling individual services independently, improving overall scalability
CIt prevents any scaling until migration is complete
DIt requires scaling only the legacy monolith, ignoring new services
Attempts:
2 left
💡 Hint

Consider how microservices can be scaled separately.

tradeoff
advanced
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What is a tradeoff of gradual migration?

What is a common tradeoff when choosing gradual migration over a big-bang approach?

ALonger total migration time due to incremental changes
BHigher risk of total system failure during migration
CNo need for backward compatibility during migration
DImmediate full performance improvement after migration starts
Attempts:
2 left
💡 Hint

Think about how doing things step-by-step affects time.

estimation
expert
2:00remaining
Estimate downtime reduction with gradual migration

A legacy monolith requires 4 hours downtime for a big-bang migration. If a gradual migration splits the system into 8 microservices migrated one by one, each requiring 15 minutes downtime, what is the total downtime?

A2 hours
B8 hours
C1 hour
D4 hours
Attempts:
2 left
💡 Hint

Multiply the number of services by downtime per service.