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.
Statseeker is a powerful network performance monitoring solution for businesses
Using just a single server or virtual machine, Statseeker can be up and running within minutes, and discovering your entire network in less than an hour, without any significant effect on your bandwidth availability.
Daphne is a system tray application for process killing, controlling and debugging. It's development started back in 2005. It was first thought to kill a set of windows process at once. With the time it became a GPL task manager replacement for Windows. You can kill a process by dragging the mouse over the windows, by right-clicking the process in the main process list, or by typing its name with the "Kill all by name" command. You can set a any window to be always on top, to be transparent,...
Java tool for searching classpath for resources such as class or files. Drag and drop interface for add new jars to your search path. Useful for resolving those class not found problem such as java.lang.ClassNotFoundException and java.lang.NoClassDefFoun
SPE is a python IDE with auto indentation&completion,call tips,syntax coloring&highlighting,uml viewer,class explorer,source index,todo list,pycrust shell,file browsers,drag&drop,Blender support.Spe ships with wxGlade,PyChecker and Kiki.
DragnDrop is a simple cross-platform utility to assist in debugging and monitoring drag-n-drop and clipboard interactions. It is of use to both developers and end users.
Secure and customizable compute service that lets you create and run virtual machines on Google’s infrastructure.
Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.