This post was co-written by Kirti Apte and Gabry (Maria Gabriella) Brodi. Over the last couple of years, customers have been adopting Kubernetes and microservice-based application deployment models for various technology and business reasons. In fact, there is a trend that customers are now looking to the next set of use cases that include applications across multiple clouds, as well as edge clouds.

In today’s fast paced and constantly evolving digital landscape, observability has become a critical component of effective software development. Companies are relying more on and using machine and telemetry data to fix customer problems, refine software and applications, and enhance security. However, while more data has empowered teams with more insights, the value derived from that data isn’t keeping pace with this growth. So how can these teams derive more value from telemetry data?