Damien Grisonnet
Senior Software Engineer at Cloud Native Computing Foundation (CNCF)
Lyon, Auvergne-Rhône-Alpes, France
Summary
🤩
Rockstar🎓
Top SchoolDamien Grisonnet is a Senior Software Engineer at Red Hat with eight years' experience building and hardening cloud-native observability tooling for Kubernetes and OpenShift. He combines backend Go development and DevOps expertise—contributing to high-profile projects like kubernetes, client-go, kube-state-metrics and the Prometheus ecosystem—to improve monitoring, event reliability, and HA configurations. As CNCF SIG Instrumentation Tech Lead he shapes community standards for metrics and observability while driving dependency upgrades, test infrastructure, and Prometheus alerting refinements. He also teaches and mentors, having supervised large student cohorts at EPITA and built testing suites and reference projects, which reflects a taste for reproducible, well-documented engineering. Notably, his contributions often target subtle reliability issues (race conditions, event retries, metric conversions) that improve real-world cluster stability.
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
1reputation
0reached
0answers
0questions
Github Skills (34)
monitoring10
kubernetes10
docker10
apidoc10
testing10
alertdialog10
alertifyjs10
alertview10
instrumentation10
alerts10
dockers10
exporter10
cicd10
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:12 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.
kubernetesk8s-sig-instrumentation
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.
prometheusk8s-sig-instrumentation
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