Week 8 Questions
These questions are intended for:
- Weekly review discussions
- Mentorship sessions
- Self-assessment
- Technical interviews
- Engineering mindset development
The goal is not only to answer the questions, but also to understand:
- Why production practices matter
- How professional Go systems are designed
- How maintainable backend services evolve
Section 1 – Production Readiness Fundamentals
Question 1
What does “production-ready software” mean?
Explain the characteristics of production-quality Go applications.
Question 2
Why is maintainability important in backend systems?
Question 3
What problems can occur if applications are deployed without:
- Proper logging
- Error handling
- Testing
- Graceful shutdown
Question 4
Why does Go encourage simplicity over excessive abstraction?
Section 2 – Project Structure
Question 5
Explain the purpose of the following directories:
cmd/
internal/
pkg/
configs/
tests/
Question 6
Why is the internal/ directory useful in Go projects?
Question 7
What are the advantages of keeping packages small and focused?
Question 8
Why should deep package nesting generally be avoided?
Section 3 – Configuration Management
Question 9
Why should configuration values not be hardcoded?
Question 10
What are the advantages of environment variables?
Question 11
How does configuration management improve portability across environments?
Question 12
What types of data should never be hardcoded into source code?
Section 4 – Logging and Observability
Question 13
What is the difference between:
- Logging
- Monitoring
- Observability
Question 14
What information should production logs typically contain?
Question 15
Why is structured logging preferred over plain text logging?
Question 16
How do logs help during production incidents?
Question 17
What are metrics and why are they important?
Section 5 – Error Handling
Question 18
Why does Go prefer explicit error handling instead of exceptions?
Question 19
Why is the following approach recommended?
go id="jlwm8u" return fmt.Errorf("failed to load file: %w", err)
Question 20
When is it acceptable to use panic() in Go?
Question 21
Why should errors contain contextual information?
Section 6 – Graceful Shutdown
Question 22
What is graceful shutdown?
Question 23
Why is graceful shutdown important in HTTP services?
Question 24
What problems can happen if applications terminate abruptly?
Question 25
How does context.Context help during shutdown operations?
Section 7 – Testing and Quality
Question 26
Why are automated tests important in production systems?
Question 27
What are the characteristics of good unit tests?
Question 28
What are table-driven tests and why are they commonly used in Go?
Question 29
What is the difference between:
- Unit testing
- Integration testing
- Benchmark testing
Question 30
Why is code coverage alone not enough to measure software quality?
Section 8 – Benchmarking and Profiling
Question 31
What is benchmarking?
Question 32
Why should benchmarking be performed before optimization?
Question 33
What types of bottlenecks can profiling help identify?
Question 34
What is a goroutine leak?
Section 9 – CI/CD and Deployment
Question 35
What is CI/CD?
Question 36
How does CI/CD improve software reliability?
Question 37
What are the benefits of automated testing in CI pipelines?
Question 38
Why should formatting and linting checks be automated?
Section 10 – Security and Reliability
Question 39
Why should secrets never be committed to source control?
Question 40
What are some common backend security best practices?
Question 41
Why is dependency management important in Go applications?
Question 42
What risks are associated with outdated dependencies?
Section 11 – Engineering Mindset
Question 43
Why is readability considered important in Go?
Question 44
Explain the phrase:
“Clear is better than clever.”
Question 45
Why should engineers avoid overengineering solutions?
Question 46
What makes software maintainable over long periods of time?
Section 12 – Scenario Based Questions
Question 47
A backend service crashes frequently in production.
What steps would you take to investigate the issue?
Question 48
A service consumes excessive memory after running for several hours.
How would you troubleshoot the problem?
Question 49
An API is becoming slow under heavy load.
What areas would you investigate?
Question 50
A deployment succeeded, but users are receiving HTTP 500 errors.
How would you approach debugging the issue?
Reflection Questions
Question 51
What topics in this mentorship program did you find most challenging?
Question 52
Which Go concepts do you feel most confident about now?
Question 53
What areas do you want to explore next?
Examples:
- Kubernetes operators
- Distributed systems
- Cloud-native Go
- Observability platforms
- Infrastructure tooling
Discussion Topics for Mentorship Sessions
Possible discussion themes:
- Production incident debugging
- Code review practices
- API design principles
- Writing maintainable Go code
- Backend architecture decisions
- Cloud-native development
- Scaling backend systems
Recommended Follow-Up Practice
To strengthen your Go skills:
- Build production-style APIs
- Read open-source Go projects
- Practice debugging
- Explore observability tools
- Improve testing discipline
- Learn deployment workflows
Final Thoughts
Becoming a strong Go developer is not only about syntax knowledge.
Professional engineering requires:
- Clear thinking
- Simplicity
- Reliability
- Maintainability
- Continuous learning
The best backend engineers focus on:
- Writing understandable code
- Solving problems clearly
- Building reliable systems
- Helping teams maintain software effectively
Continue practicing consistently and building real-world projects.