InfluxDB for Observability
Observability is a key concept for many developers and organizations. When performance matters, having insight into systems helps developers pinpoint and resolve issues quickly.
Time series data is key to observability because everything happens within the context of time. Especially in distributed systems or applications, time is a critical element that shows how processes and systems change. Observability processes track those changes.
The same data collected for observability purposes can also be used for prediction and forecasting. Combining historical and real-time observability data enables users to build and maintain more efficient and effective systems.
In this technical paper you’ll learn:
- Why observability is important and how it works
- The 3 pillars of observability
- The role of a time series database in observability