Adrien Nayrat is a PostgreSQL expert DBA with 12+ years of experience helping high‑traffic services optimize, scale and operate production databases across cloud and on‑prem environments. He has tuned and maintained systems handling tens of thousands of transactions per second on multi‑terabyte clusters (Doctolib) and led performance and cost-reduction projects for clients like Alma, Europ Assistance and ENGIE. A longtime open‑source contributor, Adrien has added Postgres monitoring capabilities to prominent projects such as netdata and authors several Postgres tools, combining hands‑on patching with conference talks and community support. Now freelancing, he focuses on audits, replication, blue‑green migrations, query and system tuning, and Database FinOps, while preferring fully remote engagements. Curious about Rust, Go, GIS and data analysis tooling, he brings a rare mix of deep engine expertise, operational rigor and practical developer coaching.
12 years of coding experience
10 years of employment as a software developer
Engineer specialized in networks and telecommunications, Networks and Telecomunications, Engineer specialized in networks and telecommunications, Networks and Telecomunications at IMT Atlantique
Engineer specialized in networks and telecommunications, Networks and Telecomunications, Engineer specialized in networks and telecommunications, Networks and Telecomunications at Telecom Bretagne
Dut Génie des Télécommunications et Réseaux, Networks and Telecommunications, Dut Génie des Télécommunications et Réseaux, Networks and Telecommunications at UNIVERSITE D'AUVERGNE
The fastest path to AI-powered full stack observability, even for lean teams.
Role in this project:
Back-end Developer & Database Engineer
Contributions:7 reviews, 5 commits, 5 PRs in 3 years 7 months
Contributions summary:Adrien primarily contributed to the integration and enhancement of PostgreSQL monitoring capabilities within the netdata project. They implemented charts for various PostgreSQL metrics, including temporary files, WAL writes, and replication slots. The contributions involved modifying Python code to query and display data from PostgreSQL, specifically focusing on handling recovery scenarios and improving the accuracy of the displayed metrics. These additions expanded the scope of data visualization for PostgreSQL, providing users with insights into their database performance and health.
Contributions:90 pushes, 4 branches in 6 years 6 months
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