Deploy Red Hat Enterprise Linux on Microsoft Azure for a secure, reliable, and scalable cloud environment, fully integrated with Microsoft services.
Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
From desk booking and visitor management, to space planning and office utilization data, Eptura Workplace helps your entire organization work smarter.
With the world of work changed forever, it’s essential to manage your workplace and assets together to effectively create a high-performing environment. The Eptura experience combines the power of workplace management software with asset management, enabling you to effectively operate your building and facilitate hybrid work.
OMTLin is an Operation and Maintenance Terminal Software for SIEMENS Telecommunication Exchange. This is an old software project of mine that I create when I'm still a switch engineer personnel in a Telecommunication company in Indonesia.
SCADA(Supervisory Control and Data Acquisition)system based on Scilab,include Serial,OPC,Modbus,Mysql,TCP/IP interface, and PID simulation, FUZZY control and ect...
SoftDash PC allows realtime control of the Connect2Car MFC controller unit installed in a vehicle. Softdash PC can communicate with the MFC hardware either via a serial connection or a Bluetooth Connection. This project allows for open ended expansion.
BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.
BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.