Rémi Dettai

Rémi Dettai

Data And Cloud Engineer @ Quickwit

About Rémi Dettai

Rémi Dettai - Data and Cloud Engineer

Rémi Dettai is an experienced Data and Cloud Engineer who has authored multiple blog posts on serverless technologies and AWS Lambda. His expertise spans various facets of cloud engineering, with a particular focus on building cost-effective, scalable, and efficient cloud solutions. His work predominantly revolves around AWS services and serverless architectures.

Rémi Dettai's Blog Posts on Serverless Technologies and AWS Lambda

Rémi Dettai has contributed valuable insights to the community through his blog posts focused on serverless technologies and AWS Lambda. These posts share his knowledge and practical experiences, offering guidance on leveraging serverless architectures to optimize performance and cost. His writings are a useful resource for engineers and developers working with AWS technologies.

Development of Cost-Effective Log Search Service Using AWS CDK

Rémi Dettai played a significant role in the development of a log search service that operates at a cost of under $7 per month, utilizing AWS Cloud Development Kit (CDK). This project demonstrates his ability to create efficient and economical cloud solutions, combining both innovation and practicality in cloud engineering.

Serverless Deployment Modes for Quickwit on AWS Lambda

Rémi Dettai has explored various serverless deployment modes for Quickwit on AWS Lambda. His work in this area highlights different approaches to deploying Quickwit, aiming to enhance flexibility and performance within serverless environments. He provides detailed analyses of each mode, showcasing their respective advantages and drawbacks.

Search Performance Enhancements on AWS Lambda

Rémi Dettai has delved into methods of improving search performance on AWS Lambda. His findings serve as a guide for optimizing search functionalities within serverless architectures, focusing on enhancing speed and efficiency. These discussions offer practical solutions to common performance challenges encountered in cloud-based search implementations.

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