Operations | Monitoring | ITSM | DevOps | Cloud

GrafanaCon EU 2018: Using Postgres, Prometheus and Grafana for Storing, Analyzing and Visualizing Metrics

In this talk, we take a somewhat heretical stance in the monitoring world, and describe why and how we chose to use PostgreSQL as a Prometheus backend to support complex queries (and get a full SQL interface).

GrafanaCon EU 2018: Inherited Technical Debt - A Tale of Overcoming Enterprise Inertia

Amgen has been on a journey to confront the multi-million dollar elephant in the room. Technical debt that had been passed down for 10 years in their monitoring portfolio. But how to overcome inertia and a failure to understand how to maximize internal value for data that belongs to organization to begin with?

Introducing Elastic Machine Learning Data Visualizer

Automatically Model the Complexity of the Real World. Skip defining rules, specifying thresholds, or manually building out statistical models. Our machine learning features make it easy to start identifying anomalies. Just describe the data you're interested analyzing (requests per second) and what other properties might influence it (server, IP, username), and that's it.