from thought-provoking sessions to a DevOps Shakespeare performance and open spaces about Career Management, Personal Learning and "GenAI Therapy session" I've got a lot to mull over
many thanks to the hard-working organizers, sponsors, my fellow speakers, and the great group of attendees
I've been shifting focus at work, from performance engineering to observability, and that means learning a whole lot. More learning in public! First up: #loki. It's a databases for logs with some interesting design decisions that make it more performant than other logs databases. Here's a video I made with my colleague, Jay Clifford, to share what we've learned, including a demo app that ties in Loki, Grafana, and Alloy: https://youtu.be/1uk8LtQqsZQ
I'm doing secondary research trying to reconcile multiple #Observability & #AIOps 'research' reports, and am having trouble corroborating this number. It seems ... optimistic?