Fabian Reinartz

In this panel, we will explore some of the emerging and competing approaches to Prometheus scalable long-term storage.

Other people: Julius Volz (Prometheus) Nikunj Aggarwal (Uber) Paul Dix (InfluxData) Tom Wilkie (Grafana Labs)

The Prometheus Monitoring system has been thriving for several years. Along with its powerful data model, operational simplicity and reliability have been a key factor in its success. However, some questions were still largely unaddressed to this day. How can we store historical data at the order of petabytes in a reliable and cost-efficient way? Can we do so without sacrificing responsive query times? And what about a global view of all our metrics and transparent handling of HA setups?

Other people: Bartłomiej Płotka

In a Cloud Native infrastructure, component failure is normal and expected. The loss of a single node or a dozen hard drives is automatically handled by the systems running a datacenter, removing the need to page someone at 4am. This calls for an alerting system that understands service availability at a global scope, yet is still able to give detailed reports if and when there is a service-impacting incident. Prometheus achieves this by defining alerting conditions directly on time series data. The resulting alerts are grouped and aggregated into comprehensive and meaningful notifications. Fabian will walk through the philosophy of time series based alerting, the Prometheus architecture behind it, and how practical anomaly detection can be implemented.

This talk was previously scheduled for 09:50.