We’re looking forward to participating at Kubecon / CloudNativeCon this week at the San Diego Convention Center.

What is Kubecon? Kubecon is an annual conference hosted by the Cloud Native Computing Foundation that brings together DevOps, SREs, and developers from the cloud native open source community to advance Kubernetes, infrastructure modernization, and more. You can follow Kubecon on social media at @KubeCon_ (don’t forget the underscore!) and #kubecon. With hundreds of sessions and dozens of vendors, it’s going to be a great event.

We’ll be at KubeCon, in booth #G13, demonstrating how InfluxDB can help you monitor your Kubernetes infrastructure and sharing what we’ve learned when using k8s to run our own cloud deployments of InfluxDB. We’ve found that, while k8s is incredibly powerful, its complexity means that monitoring it can be challenging. This is why Kubernetes users listed Kubernetes monitoring as one of their top challenges:

Kubernetes monitoring

Source: The New Stack Analysis of Cloud Native Computing Foundation Fall 2017

We’d like to show you how we make Kubernetes monitoring easier, by providing a single, integrated time series data platform that includes data capture (Telegraf), processing (Kapacitor), storage (InfluxDB), visualization (Chronograf), and analysis (Flux). Telegraf is especially well-suited for k8s monitoring, since it can talk to the kubelet API to gather metrics about running pods and containers, discover and gather metrics from HTTP servers exposing metrics in Prometheus format, collect data about internal metrics and agent stats, and check its own availability.

Integrated time series platform

This single platform means one less set of integration challenges to deal with, and is one of the reasons Walmart chose InfluxData to monitor their large k8s cluster.

In addition to talking time series, we’d be glad to give you some InfluxDB socks and stickers if you swing by our booth.

Hope to see you at Kubecon! And if you can’t make it, be sure to check out our guide to getting started with monitoring K8s, then try out InfluxDB for yourself.

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