Mikkel Larsen is a Principal Software Engineer based in Berlin with 15 years of experience building and operating large-scale Kubernetes infrastructures on AWS. At Zalando he progressed from hands-on engineering to principal-level ownership, specializing in cloud-native platforms, DevOps automation and reliable metrics/monitoring integrations. A strong Go developer and contributor to notable open-source projects like external-dns, skipper and the kube-metrics-adapter, he focuses on production reliability—improving HPA metrics, IPv6 compatibility and robust error handling. His work spans infrastructure as code, IAM integration and cross-platform tooling (including OS keyring support), reflecting a blend of systems engineering and pragmatic backend development. Colleagues would note his knack for improving operability in complex distributed systems while still contributing meaningful open-source improvements.
15 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Københavns Universitet - University of Copenhagen
Contributions:5 releases, 3 reviews, 70 commits in 6 years 6 months
Contributions summary:Mikkel primarily focused on implementing and integrating different keyring interfaces for the Go project. They added a Secret Service based keyring interface using D-Bus, and also included implementations for macOS and Windows. Their work extended the project's functionality, enabling it to store and retrieve secrets on various operating systems through system keyrings. Furthermore, they added methods to unlock and delete secrets.
General purpose metrics adapter for Kubernetes HPA metrics
Role in this project:
Backend & DevOps Engineer
Contributions:15 releases, 66 reviews, 121 commits in 4 years 3 months
Contributions summary:Mikkel primarily contributed to the development and maintenance of the kube-metrics-adapter, specifically focusing on integrating with the ZMON monitoring system and implementing new collectors. Their work included refactoring the codebase to use labels for metric identification, adding support for averageValue calculations, and updating dependencies. Additionally, the user addressed issues related to HPA updates and the handling of invalid or empty JSON responses, showcasing a focus on the reliability and integration of the adapter.
kubernetes-hpakubernetesmetricshpahorizontal
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