# Observability & Monitoring (Django)

> Structured logging, Sentry error tracking, correlation IDs, APM (Application Performance Monitoring), DB metrics, health checks, alerting

- 24 interview questions
- Senior
- [Interview Questions: Django](https://sharpskill.dev/en/technologies/django/interview-questions.md)

## 1. What is observability in the context of a Django application?

**Answer**

Observability is the ability to understand the internal state of a system from its external outputs. It relies on three pillars: logs (events), metrics (numerical data) and traces (request paths). Unlike simple monitoring that checks if a system works, observability enables diagnosing why a problem occurs.

## 2. What are the three pillars of observability?

**Answer**

The three pillars of observability are logs (recording discrete events), metrics (numerical data aggregated over time) and traces (tracking a request's path through services). These three elements combined enable understanding the behavior of a distributed system.

## 3. How to configure structured logging in Django with JSON format?

**Answer**

Structured logging consists of emitting logs as structured data (JSON) rather than free text. This facilitates automated analysis by tools like ELK or Datadog. The python-json-logger library is commonly used with Django's standard logging system to format logs as JSON.

## 21 more questions available

- What is the main advantage of structured logging compared to traditional text logs?
- What is a correlation ID and why is it essential in a distributed architecture?

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