Gabi Davar is a Senior DevOps Engineer with 13 years of experience building and operating production-grade Kubernetes platforms since 2016, alongside deep expertise in AWS, Terraform and Python. He pairs strong observability skills—Prometheus, Grafana, Elasticsearch and FluentD—with a pragmatic, troubleshooting-first approach to architecture and incident resolution. A former embedded ARM software specialist, he transitioned from low-level systems to cloud-native infrastructure and brings rare insight from both domains. He has driven DevOps at companies like Arm, Pelion and Engageli and contributed to notable open-source projects including kube-state-metrics and psutil, improving metrics, test robustness and cross-platform build reliability. Known as a hands-on coach and reviewer, he balances shipping reliable systems with mentoring teams to adopt practical engineering practices.
Add-on agent to generate and expose cluster-level metrics.
Role in this project:
Backend Developer
Contributions:1 review, 10 commits, 4 PRs in 3 years 7 months
Contributions summary:Gabi primarily contributed to adding and modifying metrics related to Kubernetes DaemonSets within the kube-state-metrics project. They introduced features such as the ability to expose labels and annotations, and fixed copy/paste issues across resources including HorizontalPodAutoscalers, CronJobs, and DaemonSets. Their work involved code changes in Go, specifically impacting the collection and reporting of Kubernetes object metrics.
Contributions:8 commits, 3 PRs, 2 comments in 3 years 4 months
Contributions summary:Gabi focused on improving the build process, documentation, and overall project structure. They fixed build errors, particularly addressing compatibility issues on platforms without specific numerical precision support. Furthermore, the user refactored the build system by replacing scripts with entrypoints and added compilation flags for the Microsoft Visual C++ compiler. They also made several documentation improvements.
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