Basics of Microservices Logging
- What is the importance of logging in a microservices architecture?
- How does logging differ in a microservices architecture compared to a monolithic application?
- What are the key objectives of logging in microservices?
- What are the common challenges associated with logging in microservices?
- What is a logging framework, and why is it important for microservices?
Logging Strategies and Best Practices
- What are some best practices for implementing logging in microservices?
- How do you ensure consistency in logging across different microservices?
- What is structured logging, and why is it important in microservices?
- How do you handle log levels (e.g., DEBUG, INFO, ERROR) in microservices?
- What is the role of correlation IDs in logging, and how are they used?
Centralized Logging
- What is centralized logging, and why is it necessary for microservices?
- How do you implement centralized logging in a microservices architecture?
- What tools and platforms can be used for centralized logging?
- How do you configure and manage log aggregation using tools like ELK Stack (Elasticsearch, Logstash, Kibana) or Splunk?
- What are the benefits of using a log management solution like Fluentd or Graylog?
Log Formats and Standards
- What is the importance of using a consistent log format across microservices?
- How do you choose a logging format (e.g., JSON, plain text) for your microservices?
- What are some common log format standards used in microservices (e.g., Common Log Format, W3C)?
- How do you handle log enrichment (adding metadata) in microservices?
- What are the implications of log verbosity on system performance?
Log Collection and Storage
- How do you collect logs from different microservices efficiently?
- What are the common methods for storing logs, and how do you choose the right one?
- How do you handle log rotation and archival in a microservices environment?
- What strategies do you use for managing log data retention?
- How do you ensure log security and compliance (e.g., GDPR, HIPAA)?
Log Analysis and Monitoring
- How do you analyze logs to troubleshoot issues in a microservices architecture?
- What are some common log analysis tools and techniques?
- How do you set up alerts and notifications based on log data?
- What role does log analysis play in monitoring and performance tuning?
- How do you use log data to gain insights into application behavior and user experience?
Distributed Tracing and Correlation
- What is distributed tracing, and how does it complement logging in microservices?
- How do you implement distributed tracing in a microservices architecture?
- What are some popular distributed tracing tools (e.g., Jaeger, Zipkin)?
- How do you correlate logs with distributed traces to diagnose issues?
- What is the role of trace IDs and span IDs in distributed tracing?
Error Handling and Debugging
- How do you log and handle errors in a microservices environment?
- What strategies do you use for debugging issues using logs?
- How do you differentiate between application errors and infrastructure issues in logs?
- What is the importance of logging context information for debugging?
- How do you use logs to perform root cause analysis of incidents?
Security and Privacy
- How do you ensure that sensitive information is not logged?
- What are some best practices for securing log data?
- How do you handle logs containing Personally Identifiable Information (PII)?
- What is log redaction, and when should it be used?
- How do you ensure compliance with data privacy regulations in your logging practices?
Performance and Scalability
- How do you manage the performance impact of logging on microservices?
- What are the best practices for scaling logging systems to handle large volumes of data?
- How do you optimize log collection and transmission for high-throughput applications?
- What are some common performance issues related to logging, and how can they be mitigated?
- How do you handle log data for high-availability and disaster recovery scenarios?
