To fully grasp observability, start with these concepts.
Explore a side-by-side-by-side comparison of instrumenting via different data types.
Learn about distributed tracing, which helps tie together instrumentation from separate services, so you can understand complex processes.
Learn what high cardinality and high dimensionality are, and understand what makes high cardinality data important.
Learn about the core analysis loop, which is the process of using your telemetry to form hypotheses and to validate or invalidate them with data. In observability, it is the basis of debugging from first principles.
Understand what instrumentation is. Explore best practices and conceptual patterns for instrumenting applications.
