Stack analysis to unlock performance, decrease costs and help future planning. Bring long-term vision.
Develop your cloud application/platform using Python, Java, or Scala. Deploy using serverless primitives like AWS Lambda or container based solutions like Kubernetes. Wide expertise going from numerical optimization and datascience to storage technologies, DevOps and Cloud Native key enablers. Deep dive into your stack code and infrastructure most inner layers to uncover the primary lever to boost performances.
Help starting projects and teams to prepare their large scale success. Capacity planning for large projects. Perform system design on large distributed system to improve reliability, eliminate bottlenecks and optimize resources utilization.
“Julien has been involved throughout 2019 in our department for a consulting mission on Apache Cassandra (a NoSQL database management system) and its use in the implementation of the Axway API Management suite.His expertise and skills have helped improve the performance and behavior of our platforms. He also did not hesitate to go beyond the scope of his mission to provide support and analysis on production incidents. Bravo and thanks again!”
“Two excellent missions from Julien based on his technical skills, his expertise and a very good relationship.”
“I had the great pleasure to work with Julien Laurenceau on our autonomous vehicle and platooning car project on 5G and 6G networks. Julien designed and developed our first data layer prototype on a 5G Edge cloud platform with high availability, scalability and low latency constraints. The project is currently in beta but we are very optimistic for future iterations and physical testing and experimentation. Julien is a good architect on stream data systems, Iot platforms like #Pulsar and #Warp10 TSDB.”
Pierre Laurenceau est un physicien et inventeur français, actif principalement entre les années 1950 et 1970. Il a travaillé à l’ESPCI Paris et a contribué à la physique expérimentale des champs électromagnétiques, à l’instrumentation non Read more
GPUs are no longer the bottleneck. Data movement is. I recently attended an online talk that stayed with me longer than most.Not because of a new GPU announcement, but because it clearly articulated something I Read more
Introduction Benchmarking remains a critical (and often underestimated) tool when designing or validating large-scale data platforms. While many teams rely on synthetic workloads or production replays, standardized benchmarks still play a key role when comparing Read more