Damien Grisonnet
Senior Software Engineer at Cloud Native Computing Foundation (CNCF)
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolDamien Grisonnet is a Senior Software Engineer based in Paris with seven years of experience building cloud-native observability and infrastructure tooling. He serves at Red Hat and as SIG Instrumentation Tech Lead at the CNCF, focusing on Kubernetes ecosystems, Prometheus integration, and production-grade monitoring. His open-source contributions span flagship projects—kube-state-metrics, kube-prometheus, metrics-server, client-go and the Prometheus adapter—where he has improved test/build pipelines, converted metrics to Prometheus conventions, and hardened high-availability and stability behaviors. He pairs deep backend and DevOps skills with mentoring experience from teaching roles that included supervising 600 students, and uniquely combines active senior engineering work with finishing a Master's at EPITA. Known for pragmatic refactors and attention to observability details, he delivers maintainable improvements that scale across distributed systems.
8 years of coding experience
2 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at EPITA: Ingénierie Informatique
Stackoverflow
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Github Skills (37)
alertify10
api-doc10
monitoring10
kubernetes10
dockerce10
docker10
testing10
alertdialog10
alertview10
instrumentation10
alerts10
dockers10
exporter10
automation10
client-go10
Programming languages (11)
Github contributions (5)
kubernetes-sigs/custom-metrics-apiserver
Oct 2020 - Nov 2022
Framework for implementing custom metrics support for Kubernetes
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 releases, 70 reviews, 18 commits in 2 years 1 month
Contributions summary:Damien primarily focused on updating dependencies and fixing compatibility issues within the `custom-metrics-apiserver` project. Their contributions include bumping the Go version, Kubernetes dependencies, and other related libraries, as well as addressing issues arising from Kubernetes API changes. Furthermore, the user implemented custom conversion functions to adapt the project with newer Kubernetes versions, indicating a focus on ensuring the project's maintainability and compatibility. Additionally, they enabled audit logging features for debugging purposes.
custom-metricsk8s-sig-instrumentationkubernetesprometheusmetrics
kubernetes-sigs/prometheus-adapter
Dec 2020 - Nov 2022
An implementation of the custom.metrics.k8s.io API using Prometheus
Role in this project:Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:7 releases, 79 reviews, 55 commits in 2 years
Contributions summary:Damien primarily focused on improving the Kubernetes custom metrics adapter, specifically around resource metrics and overall system stability. The user implemented features to prevent negative metrics, optimized pod and node metric retrieval, and fixed panics. Additionally, they worked on improving the deployment process by refining container push rules and updating dependencies to ensure the project's compatibility and maintainability.
apicustom-metricsk8s-sig-instrumentationk8skubernetes
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