Observability—a data engineering challenge - Michael Hausenblas
Observability is the capability to continuously generate and discover actionable insights based on signals from a system under observation, with the goal to influence the system. Stepping back a bit, this is really about data engineering, from pipelines to efficiently storing and retrieving data points to visualizations to applying Machine Learning to automate certain tasks. In this talk we will have a look at the challenges we face in the observability space and how open source and open specifications can help to move the community forward.