Organizations of all sizes rely on their observability data to drive critical business decisions. Production Engineers across Development, ITOps, and Security use it to understand their systems better, respond to issues faster, and ultimately provide more performant and secure user experiences. But while the value of observability data is well understood, teams struggle to derive value from it.

Observability is the ability to see and understand the internal state of a system from its external outputs. Logs, Metrics, and Traces, collectively called observability data, are three external outputs widely considered to be three pillars of observability. Now more than ever, organizations of all sizes must employ the necessary processes and technologies to harness the power of their data and make it more actionable.

With an exploding volume of data and systems comes the need for observability, or the ability to understand the internal states of a system from knowledge of its external outputs. As a result, observability data's importance is at an all-time high. Businesses spanning every industry use it in various ways to respond to issues, increase agility, mitigate risk, and ultimately provide better experiences for their users. It’s an incredibly valuable commodity.