Christian Beneke
Platform Engineer
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolChristian Beneke is a Platform Engineer with 11 years of experience building cloud-native infrastructure and improving developer experience, currently based in Berlin and working at Synthesia while freelancing. He has deep SRE and Kubernetes expertise demonstrated by driving large migrations and cost optimizations at Trade Republic—cutting Kubernetes costs ~30% and observability costs ~65% while increasing stability. Christian blends hands-on engineering (Go, Python, Terraform, Prometheus/Grafana) with team leadership, having grown and managed SRE teams that supported hundreds of engineers and slashed internal support resolution times by 60%. An active open-source contributor, he improved monitoring and alerting in the widely used kubernetes-monitoring/kubernetes-mixin to refine API error alerts and visualize resource usage more helpfully. He prefers pragmatic, cost-aware solutions that raise engineering velocity and observability rather than adding complexity. His background in mathematics and long-running on-call experience inform a data-driven, operationally minded approach to platform design.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.Sc.), Mathematics, Bachelor of Science (B.Sc.), Mathematics at Technische Universität Berlin
German, English
Github Skills (13)
alertdialog10
monitoring10
alertifyjs10
kubernetes10
alertview10
prometheus10
grafana10
alerts10
kubernetes-pods10
yaml9
configuration-management9
infrastructure-as-code8
aac8
Programming languages (16)
Github contributions (5)
kubernetes-monitoring/kubernetes-mixin
Aug 2018 - Nov 2019
A set of Grafana dashboards and Prometheus alerts for Kubernetes.
Role in this project:
DevOps Engineer
DevOps EngineerContributions:11 commits, 12 PRs, 27 comments in 1 year 2 months
Contributions summary:Christian primarily contributed to improving monitoring and alerting configurations within the Kubernetes environment. Their work involved refining alert rules, specifically addressing issues with API error alerts and optimizing disk and memory utilization metrics. They also made changes to the Grafana dashboards, including adjustments to the visualization of CPU and memory usage, and configuring the selection of disk devices. These changes collectively enhance the observability and operational efficiency of the Kubernetes cluster.
grafana-dashboardsalertsdashboardskubernetesgrafana
cbeneke/grav-blog
Aug 2018 - Mar 2020
Contributions:31 commits, 28 pushes, 1 branch in 1 year 7 months
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