Python Microservices

9.

Monitoring and Observability

9.1.

Observability Principles

9.1.1.

Three Pillars of Observability

9.1.1.1.

9.1.1.2.

9.1.1.3.

9.1.2.

Observability vs Monitoring

9.1.2.1.

Proactive vs Reactive

9.1.2.2.

Known vs Unknown Issues

9.1.2.3.

System Understanding

9.2.

Application Logging

9.2.1.

Structured Logging

9.2.1.1.

Log Format Standards

9.2.1.2.

Contextual Information

9.2.1.3.

9.2.2.

Centralized Logging

9.2.2.1.

Log Aggregation

9.2.2.2.

9.2.2.3.

9.2.3.

9.2.3.1.

Logging Configuration

9.2.3.2.

Custom Formatters

9.2.3.3.

9.3.

Metrics Collection

9.3.1.

9.3.1.1.

9.3.1.2.

9.3.1.3.

9.3.1.4.

9.3.2.

Prometheus Integration

9.3.2.1.

Metric Exposition

9.3.2.2.

Client Libraries

9.3.2.3.

9.3.3.

Application Metrics

9.3.3.1.

Business Metrics

9.3.3.2.

Technical Metrics

9.3.3.3.

SLA/SLI Metrics

9.4.

Distributed Tracing

9.4.1.

Tracing Concepts

9.4.1.1.

9.4.1.2.

9.4.1.3.

Context Propagation

9.4.2.

9.4.2.1.

Instrumentation

9.4.2.2.

9.4.2.3.

Sampling Strategies

9.4.3.

Tracing Implementation

9.4.3.1.

Manual Instrumentation

9.4.3.2.

Automatic Instrumentation

9.4.3.3.

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