No Logging vs Centralized Logging

Developers should consider No Logging in high-performance or security-critical applications where logging overhead can impact latency or expose sensitive data meets developers should implement centralized logging in microservices architectures, cloud-native applications, or any distributed system where logs are scattered across multiple servers or containers, as it provides a holistic view of system behavior and simplifies debugging complex issues. Here's our take.

No Logging

Nice Pick

Developers should consider No Logging in high-performance or security-critical applications where logging overhead can impact latency or expose sensitive data

Pros

• It is particularly useful in microservices architectures, real-time systems, and environments with strict compliance requirements, as it reduces storage costs and attack surfaces
• Related to: observability, distributed-tracing

Cons

• Specific tradeoffs depend on your use case

Centralized Logging

Developers should implement centralized logging in microservices architectures, cloud-native applications, or any distributed system where logs are scattered across multiple servers or containers, as it provides a holistic view of system behavior and simplifies debugging complex issues

Pros

• It is essential for compliance and security monitoring, allowing teams to detect anomalies, track user activities, and respond to incidents quickly by correlating events from different sources
• Related to: elasticsearch, logstash

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. No Logging is a methodology while Centralized Logging is a concept. We picked No Logging based on overall popularity, but your choice depends on what you're building.

The Bottom Line

No Logging wins

Based on overall popularity. No Logging is more widely used, but Centralized Logging excels in its own space.