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Lecture summary

English

Microservices Architecture - Structured Study Notes

These notes keep the lecture flow: boundaries, communication, state, and resilience.

SECTION 1: Why Teams Over - Split Too

Topic: Why Teams Over - Split Too

Core idea: Why teams over - split too early.

Explanation: This part compares a modular monolith and microservices.

Practical example: In a real system, this appears during release pressure: why teams over - split too early.

Common mistake: A common mistake is confusing this topic with a similar term.

Connection: This topic connects to other lecture ideas by sharing cause and effect steps.

Topic: Database Service Shared

Core idea: Database per service, shared DB, event sourcing.

Explanation: This part compares a modular monolith and microservices.

Practical example: In a real system, this appears during release pressure: database per service, shared DB, event sourcing.

Common mistake: A common mistake is confusing this topic with a similar term.

Connection: This topic connects to other lecture ideas by sharing cause and effect steps.

SECTION 2: Best Watch Rule

Topic: Best Watch Rule

Core idea: 3 Best when Watch out Rule of thumb.

Explanation: 3 Best when Watch out Rule of thumb.

Practical example: In a real system, this appears during release pressure: 3 Best when Watch out Rule of thumb.

Common mistake: A common mistake is confusing this topic with a similar term.

Connection: This topic connects to other lecture ideas by sharing cause and effect steps.

Topic: Local Debugging Transactions

Core idea: You need simple local debugging and easy transactions.

Explanation: You need simple local debugging and easy transactions.

Practical example: In a real system, this appears during release pressure: you need simple local debugging and easy transactions.

Common mistake: A common mistake is confusing this topic with a similar term.

Connection: This topic connects to other lecture ideas by sharing cause and effect steps.

SECTION 3: Different Scaling Profiles

Topic: Different Scaling Profiles

Core idea: Different modules need different scaling profiles.

Explanation: This part compares a modular monolith and microservices.

Practical example: In a real system, this appears during release pressure: different modules need different scaling profiles.

Common mistake: A common mistake is confusing this topic with a similar term.

Connection: This topic connects to other lecture ideas by sharing cause and effect steps.

Topic: One Codebase Still Fits In One

Core idea: one codebase still fits in one team’s head.

Explanation: This part compares a modular monolith and microservices.

Practical example: In a real system, this appears during release pressure: one codebase still fits in one team’s head.

Common mistake: A common mistake is confusing this topic with a similar term.

Connection: This topic connects to other lecture ideas by sharing cause and effect steps.

SECTION 4: Microservices Architecture Eventually

Topic: Microservices Architecture Eventually

Core idea: Microservices Architecture Why teams eventually split a monolith The trigger is usually not code size alone.

Explanation: This part compares a modular monolith and microservices.

Practical example: In a real system, this appears during release pressure: microservices Architecture Why teams eventually split a monolith The trigger is usually not code size alone.

Common mistake: A common mistake is confusing this topic with a similar term.

Connection: This topic connects to other lecture ideas by sharing cause and effect steps.

Topic: Small Checkout Change

Core idea: A small checkout change requires a full regression pass across unrelated modules.

Explanation: A small checkout change requires a full regression pass across unrelated modules.

Practical example: In a real system, this appears during release pressure: a small checkout change requires a full regression pass across unrelated modules.

Common mistake: A common mistake is confusing this topic with a similar term.

Connection: This topic connects to other lecture ideas by sharing cause and effect steps.