RPyC A transparent and symmetrical Python library for remote procedure calls, clustering and distributed-computing
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RPyC Tags

control test remote control distribute distribute workload environment test

RPyC Description

A transparent and symmetrical Python library for remote procedure calls, clustering and distributed-computing RPyC (Remote Python Call) makes use of object-proxying, a technique that employs Python's dynamic nature, to be able to easily overcome the physical boundaries between computers and processes, so that remote objects can be manipulated as if they were local.Use cases: · Excels in testing environments · Control multiple hardware or software platforms from a centralized point · Access remote physical (hardware) resources transparently · Distribute workload among multiple machines with ease · Implement remote services (like SOAP or RMI) quickly and concisely (without the overhead and limitations of these technologies) Here are some key features of "RPyC": · Transparent access to remote objects; program remotely as if working locally · Symmetric protocol, where both the client and server can serve requests (which allows, for instance, to use callbacks) · Synchronous and asynchronous invocation · Platform-agnostic: 32/64 bit, little/big endian, Windows/Linux/Solaris/Mac… access objects across different architectures. · Capability based security model · Integration with TLS/SSL and inetd Requirements: · Python What's New in This Release: · fixes some minor bugs

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