François Massot
Building A New On-prem Log Product Datadog -- Coming Soon
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolFrançois Massot is a seasoned backend engineer and founder currently at Datadog building a new on‑prem log product, with 12 years of experience scaling observability systems. He co‑founded Quickwit, an open-source Rust search engine that decouples compute from object storage to remain stateless — a design that powers users at up to 40 PB and delivers up to 10x cost savings versus traditional engines. His hands‑on contributions span metastore and indexing work in Quickwit and core improvements to the Tantivy search library, underscoring deep expertise in search algorithms and large-scale ingestion. Prior roles as CTO and COO and an applied mathematics background from Ecole Centrale de Paris give him both product leadership chops and a quantitative approach to system design. A pragmatic skeptic (his GitHub features a Feynman quote), he builds cost-effective, sleep-friendly architectures that solve real operational pain points.
12 years of coding experience
12 years of employment as a software developer
Applied mathematics, Finance, Applied mathematics, Finance at Ecole centrale de Paris
Stackoverflow
410reputation
13kreached
4answers
5questions
Github Skills (19)
algorithm10
search-engine10
tantivy10
algorithms10
metastore10
data-structure10
query-parser10
parse10
data-structures10
rust10
testing9
aggregations8
google-maps-api6
django-models6
metaprogramming6
Programming languages (12)
Github contributions (5)
quickwit-oss/quickwit
May 2021 - Jan 2023
Cloud-native search engine for observability. An open-source alternative to Datadog, Elasticsearch, Loki, and Tempo.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 releases, 1880 reviews, 254 commits in 1 year 8 months
Contributions summary:François primarily focused on implementing features related to the Quickwit metastore and search engine. Their work included fixing issues related to index URI parsing and implementing a new SingleFileMetastoreFactory. They also added functionality for handling document mapping, including default mapper implementations, and contributed to the indexing pipeline.
analyticsrustlog-analyticslog-managementlogging
quickwit-oss/tantivy
Jul 2021 - Oct 2022
Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust
Role in this project:Back-end Developer
Back-end DeveloperContributions:66 reviews, 26 commits, 28 PRs in 1 year 4 months
Contributions summary:François primarily contributed to the core logic and functionality of the Tantivy search engine library, focusing on improving and optimizing the query parsing and execution. Their work included enhancements to field name validation, improvements to the block wand algorithm for efficient search, and adjustments to the type priority for numerical fields. They also addressed issues related to date histogram aggregation and overall code quality by fixing clippy warnings and other test-related issues.
full-text-searchrustfull-textindexingapache
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