Learn about the newest features of Grafana v6.0 including Grafana Loki, Prometheus-inspired, open source logging in Grafana, the new explore workflow, new cloud data sources and more!

Daniel Lee discusses native support for the major cloud platforms, and highlights popular plugins from the Grafana community.

This talk covers experience and thoughts about how to approach the monitoring and management of cloud-native systems. It will draw both from observations of the opportunities provided by systems like Kubernetes as well as from practical hands-on experience from building real monitoring systems. With luck it will provide both experiences from the past, and inspirations for the future.

Nikki Attea talks about one of the endless permutations of metrics software you can pair with Sensu. She'll show you how to collect data using Sensu check output metric extraction, transform that data with a Sensu InfluxDB Handler, store the data in an InfluxDB time series database and visualize that data on a Grafana dashboard.

Grafana Labs co-founder and CEO Raj Dutt recaps what the company has been up to since the last GrafanaCon including a recent fund raise, how Grafana Labs drives revenue, the introduction of Loki, a post-geographic, remote-first approach to hiring the best people, and where Grafana Labs is headed.

Grafana 6.0 adds a new way to explore ad-hoc queries and data. You can now view both metric and log data in Grafana.

Applications are complex systems. Their many moving parts, component and dependency services may span any number of infrastructure technologies and platforms from bare metal to serverless.

The new Flux (formerly IFQL) super-charges queries both for analytics and data science. Get an overview of the language features as well as the moving parts for a working deployment. Grafana shares Flux’s passion for analytics and data science. For that reason, they are very excited to showcase the new Flux support within Grafana, and a couple of common analytics use cases to get the most out of your data.

Grafana, with its huge amount of data sources and plugins, has all the capabilities one needs to create accurate graphs. Although creating dashboards is easy, interpreting each panel is hard if it’s not correctly visualised. Misinterpretation is one of the most common causes of wrong conclusions that make us hunt ghosts during debugging sessions. There are many common pitfalls which we can avoid if we follow some rules.