Drilling Computing

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drilling-computing

Drilling Computing is a SaaS platform for people in the Oil & Gas field that simplify the task of developing directional plans.

Python is used for the mathematical computation, as well as for serving the web application using the Django framework.

The platform offers an intelligent algorithm which runs in background and helps the user to develop the best directional plan; background tasks are managed by the Celery distributed task queue, using Redis as a broker.

The user information is stored in MongoDB, a strong and scalable NoSQL database.

The website uses strong HTTPS encryption by default, with a SSL certificate generated by Letsencrypt, a free and open certificate authority.

All categories:
Data Analysis
Desktop Application
DevOps
Mobile Application
Static Website
Web Application

All tags:
Alpine Linux  Ansible  Bootstrap  Bulma  Caprover  Celery  Cockpit  Contabo  Cordova  CouchDB  Datapane  Django  Docker  FastAPI  Framework7  Grafana  H2  InfluxDB  InvoicePlane  JAMstack  Java  Kamal  MigLayout  MinIO  Modbus  MongoDB  MySQL  Netlify  Pagseguro  Pandas  PHP  Plausible  Plotly  PostgreSQL  Python  Redis  Render  S3  Umami  WebDataRocks  Zola 

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Thomas Cenni
Thomas Cenni is an Electronic Engineer with more than 20 years of experience in program management and software engineering. Passionate about software engineering and development, experienced leader with a strong background in the end-to-end lifecycle of product development, he is also a certified SAFe® 6 agilist. Entrepreneur, credible and highly motivated, he showed a great ability to adapt to various cultures and countries, assuming different roles and challenges in Italy, Brazil and France. He is fluent in English, French, Italian and Brazilian Portuguese.