title: str = "Observability: Monitoring, Logging, and Tracing"

content: str = """
Observability is the ability to understand the internal state of a system 
by examining its external outputs. In distributed cloud environments, 
traditional monitoring is insufficient; a three-pillared approach is required.

**The Three Pillars of Observability:**
1. **Metrics:** Numerical data points measured over time (e.g., CPU 
   utilization, request count, error rate). Metrics are excellent for 
   detecting "what" is happening and triggering alerts.
2. **Logging:** Immutable, timestamped records of discrete events. Logs 
   provide the detailed "why" behind a failure, allowing for root cause 
   analysis.
3. **Tracing:** Tracks the path of a single request as it moves through 
   various services in a distributed system. Tracing is essential for 
   identifying bottlenecks and understanding service dependencies.

**Key Concepts:**
*   **Service Level Indicators (SLIs):** Specific metrics used to measure 
    performance (e.g., latency).
*   **Service Level Objectives (SLOs):** Target values for SLIs (e.g., 99th 
    percentile latency < 200ms).
*   **Dashboards:** Visual representations of metrics and logs to provide 
    at-a-glance system health.

Architects must design observability into the system from the start, 
ensuring that every component emits the necessary telemetry to facilitate 
rapid incident response and performance tuning.
"""

version: str = "0.0.1"
