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Using eBPF to Measure the k8s Cluster Health

As a k8s cluster-admin your app teams have a certain expectation of your cluster to be available to deploy services at any time without problems. While there is no shortage on metrics in k8s its important to have the right metrics to alert on issues and giving you enough data to react to potential availability issues. Prometheus has become a standard and sheds light on the inner behaviour of Kubernetes clusters and workloads. Lots of KPIs (CPU, IO, network. Etc) in our On-Premise environment are less precise when we start to work in a Cloud environment. Ebpf is the perfect technology that fulfills that requirement as it gives us information down to the kernel level. In 2018 Cloudflare shared an opensource project to expose custom ebpf metrics in Prometheus. Join this session and learn about: • What is ebpf? • What type of metrics we can collect? • How to expose those metrics in a K8s environment. This session will try to deliver a step-by-step guide on how to take advantage of the ebpf exporter.

20 Minutes
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Henrik Rexed, Cloud Native Advocate at Dynatrace

Henrik is a Cloud Native Advocate at Dynatrace, the leading Observability platform. Prior to Dynatrace, Henrik has worked as a Partner Solution Evangelist at Neotys, delivering webinars, building protypes to enhance the capability of NeoLoad. He has been working in the performance world more than 15 years, delivering projects in all contexts including extremely large Cloud testing on the most demanding business areas such as trading applications, Video on Demand, sports websites, etc. Henrik Rexed Is Also one of the Organizer of the Conference named Performance Advisory Council.

P99 CONF OCT. 6-7, 2021

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