Monitoring and Observability vs Manual Debugging

Developers should learn and implement monitoring and observability to maintain system reliability, detect anomalies, and reduce mean time to resolution (MTTR) for incidents meets developers should learn manual debugging to build a deep understanding of code execution and problem-solving skills, especially when working with legacy systems, embedded software, or in resource-constrained environments where debuggers are not supported. Here's our take.

Monitoring and Observability

Nice Pick

Developers should learn and implement monitoring and observability to maintain system reliability, detect anomalies, and reduce mean time to resolution (MTTR) for incidents

Pros

• It is essential for modern applications, especially microservices and cloud-native architectures, where traditional monitoring falls short due to increased complexity
• Related to: metrics-collection, distributed-tracing

Cons

• Specific tradeoffs depend on your use case

Manual Debugging

Developers should learn manual debugging to build a deep understanding of code execution and problem-solving skills, especially when working with legacy systems, embedded software, or in resource-constrained environments where debuggers are not supported

Pros

• It is crucial for troubleshooting complex logic errors, performance issues, or bugs in production systems where automated tools might fail or provide limited insights
• Related to: debugging-tools, log-analysis

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. Monitoring and Observability is a concept while Manual Debugging is a methodology. We picked Monitoring and Observability based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Monitoring and Observability wins

Based on overall popularity. Monitoring and Observability is more widely used, but Manual Debugging excels in its own space.