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Fastly's edge cloud platform delivers faster, safer, and more scalable sites and apps to customers.
Ensure your websites, applications and services can effortlessly handle the demands of your users with Fastly. Fastly’s portfolio is designed to be highly performant, personalized and secure while seamlessly scaling to support your growth.
Pioneering Private and Public Cloud Management since 2008
The UnifiedSessionsManager supports the integrated management of user sessions within Private-Clouds, comprising heterogeneous IT landscapes of various physical and virtual machines, hypervisor management, and virtual user sessions with remote desktops.
Extracted documents see https://sourceforge.net/projects/ctys-doc.
TACO is a toolkit for building distributed control systems or any other distributed system. It is based on a C/C++ core. It is based on the client-server model. It supports writing clients and server on Unix+Windows. Clients and servers can be written in
Scalable, distributed monitoring system for high-performance computing
Ganglia is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is based on a hierarchical design targeted at federations of clusters. Supports clusters up to 2000 nodes in size.
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
The XPS is a scalable platform for meta-programming and domain engineering. It provides a virtual machine, compiler, and runtime library that make it possible to efficiently develop, debug, and run programs based on XPL (eXtensible Programming Language)
Cheshire3 is a fast Z39.50, SRW, XML search engine, written in Python for extensability and using C libraries for speed. Next generation of the Cheshire system (http://cheshire.berkeley.edu) and designed around a distributable, object oriented model.
The Job Jar is a simple batch queuing system for Unix. Its main
distinguishing feature is that there is no central daemon. Instead, an
arbitrary set of workers cooperatively claim jobs from a central
directory. A job is any Unix executable file.