Abstract
- Traces help us track the flow of requests through various services and components of the system
- A trace is made up one or more Span
- Once we identify the span for latency, we can proceed with optimisation
- We can use tools like Datadog APM, Tempo and Zipkin etc
Terminologies
Runtime Metrics
Instrumented
- Code or tools have been added to the application to monitor, measure, or analyze its behavior during execution
- Provide insights into the application’s performance, functionality, and other operational characteristics
- This is particularly useful for debugging, performance tuning, and monitoring purposes
Pipeline
Host-side
- We can tune the Sampling
- Library Sampling overrides Agent Sampling
- Trace Metrics are the Metrics, directly connected Instrumented application, calculated based on 100% of the app’s traffic
Datadog backend side
- Live Search allows us to search Span using any tag or Span
- Generate Custom Metric from Span
- Retention Filters - how long we want to retain the trace
- Dashboard used to give a visual representation of the app for optimisation and debugging
