Distributed System Monitoring Guide | Tracing & Observability

Service dependency mapping involves identifying and documenting the relationships between different services within a distributed system. This helps understand how changes in one service might impact others, enabling proactive issue resolution.

When monitoring a distributed system, you should track key metrics such as P95 latency, error rate, and throughput. These provide insights into the overall health and performance of your services.

Service Level Objectives (SLOs) are specific, measurable goals that define the desired performance levels for your services. They're typically expressed as targets for availability, latency, or error rates.

Implementing SLIs involves defining specific metrics, setting targets for those metrics as SLOs, and continuously tracking the error budget – the allowed number of failures. This allows you to proactively manage performance risks.