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🪵🔎 CHOOSING THE RIGHT LOG LEVEL (SO YOUR LOGS STAY USEFUL)

· api,programmmer,techlead

🔸 TL;DR

Log levels are a contract: TRACE/DEBUG for developers, INFO for business flow, WARN for “unexpected but handled”, ERROR/FATAL for “something is broken”. Keep logs actionable, not noisy. 🎯

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🔸 WHY IT MATTERS

Bad log levels = either silence during incidents 😬 or 10GB/day of noise 🧨.

Good log levels = faster debugging, cheaper storage, better alerting. 📉🚨

🔸 HOW TO USE EACH LEVEL

▪️ TRACE 🧬

Ultra-detailed step-by-step (method entry/exit, loop iterations, protocol chatter).

✅ Use: short-lived troubleshooting / local reproduction

🚫 Avoid: production by default (too verbose)

▪️ DEBUG 🛠️

Developer-relevant details (computed values, decisions, branch chosen).

✅ Use: diagnosing issues without drowning in logs

Tip: prefer structured fields (e.g., orderId, customerId) over long strings

▪️ INFO 🧭

High-level lifecycle milestones (service started, request accepted, job completed).

✅ Use: “What happened?” timeline

🚫 Avoid: logging every single request in high-traffic systems (unless sampled)

▪️ WARN ⚠️

Unexpected situation, but the app can continue (fallback used, retry triggered, partial degradation).

✅ Use: “Pay attention soon” signals

Tip: make WARNs rare and meaningful, or nobody will care.

▪️ ERROR 💥

Operation failed (request failed, transaction rolled back, dependency down).

✅ Use: includes context + exception + next-step hint if possible

Tip: 1 error = 1 actionable event. Don’t log the same failure 5 times up the stack.

▪️ FATAL ☠️

The app cannot continue (startup failure, corrupted critical config, unrecoverable state).

✅ Use: right before exit/crash

Note: many stacks don’t treat FATAL differently—still useful as a “we’re going down” marker.

🔸 TAKEAWAYS

▪️ TRACE/DEBUG = diagnosis, INFO = narrative, WARN = degraded, ERROR/FATAL = broken 🧠

▪️ Write logs for future you during an incident 🧯

▪️ Prefer structured logs + IDs (traceId, userId, orderId) over long paragraphs 🧾

▪️ Avoid logging secrets 🔐 (tokens, passwords, full PII)

#Java #SpringBoot #Logging #Observability #DevOps #SRE #Microservices #Backend #SoftwareEngineering #CleanCode

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