Nicolas Fraison
Software Engineering at Datadog
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolNicolas Fraison is a seasoned software engineer based in Paris with 11 years of experience building and operating large-scale distributed systems, from Hadoop clusters and NoSQL platforms to cloud-native services at Datadog. He blends SRE and backend expertise—performance-tuning databases, automating cluster life-cycles on Kubernetes, and securing production stacks—while contributing to notable open-source projects like Datadog Agent and Skydive where he improved network telemetry, IPv6/VLAN support and Elasticsearch performance. Comfortable across the full ops-development spectrum, he has driven migrations, observability tooling, and CI/CD improvements that reduce operational toil. Colleagues rely on him for robust, performance-minded solutions and pragmatic automation; less obvious is his hands-on background fixing low-level disassembly and eBPF issues, reflecting deep familiarity with networking and systems internals.
11 years of coding experience
1 year of employment as a software developer
DUT en Génie Télécommunication et réseaux, DUT en Génie Télécommunication et réseaux at IUT de BloisNational Conservatory of Arts and Crafts
English
Github Skills (37)
dis10
ebpf10
amazon-elasticsearch10
http10
network-monitoring10
c1110
cicd10
c1710
elasticsearchquery10
go10
aws-elasticsearch10
disassembly10
elasticsearch10
elasticsearch-api10
go-modules9
Programming languages (13)
Github contributions (5)
skydive-project/skydive
Oct 2015 - Aug 2022
An open source real-time network topology and protocols analyzer
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2 reviews, 511 commits, 338 PRs in 6 years 11 months
Contributions summary:Nicolas contributed to the core functionality of the Skydive project by adding new metrics for flow layers and implementing new functionality to analyze and display network traffic. The user implemented support for VLANs and IPv6, enhancing the project's ability to monitor network traffic. The user also worked on building and improving the efficiency of the Elasticsearch database, including implementing bulk indexing and optimized key lookups, indicating a focus on performance.
traffic-analysismonitoringreal-timenetwork-topologynetwork-monitoring
DataDog/datadog-agent
Jul 2021 - Jan 2023
Main repository for Datadog Agent
Role in this project:Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:593 reviews, 434 commits, 209 PRs in 1 year 6 months
Contributions summary:Nicolas contributed to the Datadog Agent repository by addressing various issues related to CI/CD, eBPF, and general code improvements. Their work includes fixing Python linting and isort checks in the CI pipeline. They also made changes to eBPF code, including calculating IPv4 header lengths and implementing HTTPS monitoring. Furthermore, the user worked on code related to network and TLS functionalities.
golangdatadog-agentagentobservabilitypmm
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