Event correlation is the process of taking data from multiple dataset and types and associating them together, in order to get an overall view of the system, instead of view each event in isolation.
Imagine you have a web application that suddenly slows down, and you need to figure out why. You have logs, traces and metrics for your web application. You can correlate the logs, metrics and traces to piece together the clues from each data type. The metrics will tell you there was a sudden increase in CPU usage of the database, the traces will show how all the requests that were slowed down in the database, and the logs might highlight that you're trying to retrieve too much data at once from the database.
Explore related concepts
Distributed Tracing
Distributed Tracing is a method for tracking the flow of requests through your application. It enables you to follow the journey of a request as it travels across multiple services, so you can see where things might be going wrong.
Anomaly Detection
Anomaly detection is the process of identifying unexpected or irregular patterns in telemetry data that is far from the norm, which usually means something is off and requires human attention.
Incident Analysis
Incident Analysis is the process of examining and evaluating events or issues that have caused disruptions or failures in an application. It involves identifying the root cause of incidents and understanding the impact they have on the system's performance and reliability.