Making Sense of Your Observability Data and Taking Action, with Shmuel Kliger of Causely

When his past venture winded down, Schmuel found himself at the center of an idea that was the culmination of all his years in technology. To build something that could not only process large amounts of observability data – but could make sense of it, and take appropriate action.