Microservices Monitoring

 Basics of Microservices Monitoring

1. What is the importance of monitoring in a microservices architecture?
2. How does monitoring differ in a microservices architecture compared to a monolithic application?
3. What are the key components of a microservices monitoring strategy?
4. What metrics are most important to monitor in a microservices architecture?
5. What are the common challenges associated with monitoring microservices?

Metrics and Observability

6. What is observability, and how does it relate to monitoring?
7. How do you define and measure key performance indicators (KPIs) in microservices?
8. What are some common metrics for monitoring microservices (e.g., latency, throughput, error rates)?
9. How do you measure and monitor service availability and reliability?
10. What is the role of custom metrics in microservices monitoring?

Tools and Platforms

11. What are some popular monitoring tools and platforms for microservices (e.g., Prometheus, Grafana, Datadog)?
12. How do you integrate monitoring tools with microservices?
13. What are the benefits of using a unified monitoring platform?
14. How do you choose the right monitoring tool for your microservices environment?
15. What is the role of log management tools in monitoring (e.g., ELK Stack, Splunk)?

Distributed Tracing

16. What is distributed tracing, and why is it important in microservices?
17. How do you implement distributed tracing in a microservices architecture?
18. What are some popular distributed tracing tools (e.g., Jaeger, Zipkin)?
19. How do you correlate traces with logs and metrics for comprehensive monitoring?
20. What are trace IDs and span IDs, and how are they used in distributed tracing?

Alerts and Notifications

21. How do you set up alerts and notifications based on monitoring data?
22. What are the best practices for configuring alert thresholds and rules?
23. How do you handle alert fatigue and ensure meaningful notifications?
24. What is the role of anomaly detection in monitoring?
25. How do you prioritize and manage alerts in a microservices environment?

Performance and Scalability

26. How do you monitor the performance impact of microservices on each other?
27. What are some common performance issues in microservices, and how do you monitor them?
28. How do you ensure that monitoring systems scale with the microservices architecture?
29. What strategies do you use to handle high-volume monitoring data?
30. How do you optimize monitoring for high-throughput applications?

Health Checks and Service Discovery

31. What are health checks, and how are they used in monitoring microservices?
32. How do you implement and configure health checks in microservices?
33. What is the role of service discovery in monitoring, and how is it implemented?
34. How do you monitor the status and performance of service discovery mechanisms?
35. What are the best practices for configuring and managing health checks?

Security and Compliance

36. How do you monitor security-related events in a microservices architecture?
37. What are the best practices for securing monitoring data and access?
38. How do you ensure compliance with data privacy regulations in your monitoring practices?
39. What is the role of monitoring in detecting and responding to security incidents?
40. How do you handle sensitive information in logs and metrics?

Troubleshooting and Incident Management

41. How do you use monitoring data to troubleshoot issues in microservices?
42. What strategies do you use for root cause analysis of incidents?
43. How do you integrate monitoring with incident management and response processes?
44. What are the best practices for documenting and learning from incidents?
45. How do you handle and analyze post-mortem data from incidents?

Best Practices and Design Patterns

46. What are some best practices for implementing effective monitoring in microservices?
47. How do you ensure consistency in monitoring across different microservices?
48. What design patterns are commonly used for monitoring in microservices?
49. How do you handle the trade-offs between monitoring depth and performance overhead?
50. What is the role of automation in monitoring and managing microservices?