OPTIMIZE YOUR DATA FOR ACTION
With observability data coming from an increasing number of sources, disparities in structure, along with their sprawl across various siloed solutions, it is difficult to shape that data to fit various use cases. Logs from different sources may contain fields that are named and formatted differently making it hard to merge and manage. Sensitive data can be present in logs leading to security risk.
This creates manual bottlenecks (such as maintaining independent data streams for each use case) that decrease efficiency, and create risk when that data isn’t readily available.