#16 Dotan Horovits on Why Observability Is a Data Analytics Problem
In today’s episode, we are talking to fellow podcaster Dotan Horovits. Dotan is an open source and technology enthusiast: he is the host of the OpenObservability podcast, he writes articles about open source and observability, he is an avid speaker at events like KubeCon and Conf42, he’s a co-organizer of Cloud Native Computing Foundation’s local chapter in Tel Aviv, Israel and in his day job, he is a developer advocate at Logz.io. One of Dotan’s recent blog posts is titled: “Observability is a Data Analytics Problem,” and in this blog post he explains that observability is not just the simple sum of logs, metrics and traces, but for effective observability you need to fix the data analytics problem. We wanted to invite Dotan to dive into that a bit more. So, listen to this episode, to hear Dotan and Anthony discuss why logs, metrics and traces are not enough anymore, what it takes to start solving the underlying data analytics problem, and what responsibility observability vendors - like Logz.io and StackState, for example - have in solving this problem. Let’s get started and enjoy the podcast.