Many enterprises generate terabytes of log data every day, resulting in high costs to ingest, store and analyze that data. Even worse, many observability platforms are walled gardens, making it hard to use log data for use cases beyond observability, such as business intelligence, data science and machine learning.

To solve both of these problems, it’s time for headless observability, a fresh approach that decouples the frontend (visualization, querying and analytics) from the backend (data ingestion and storage) — all while keeping operations simple.