A Go library that simplifies SSH operations for DevOps with keepalive and multiplexing support.
Socker is a Go library that simplifies SSH operations for DevOps and infrastructure automation. It provides a clean API for executing remote commands, transferring files, and managing SSH connections with features like keepalive and multiplexing. The library reduces boilerplate code while offering production-ready SSH functionality.
Go developers working on DevOps tools, infrastructure automation, or remote server management applications who need reliable SSH functionality.
Developers choose Socker for its simple, idiomatic Go API that abstracts away SSH complexity while providing essential features like connection multiplexing and keepalive. It's inspired by Python's Fabric but built specifically for the Go ecosystem.
A Go library to simplify the use of SSH for devops
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Supports SSH multiplexing and keepalive, as shown in the README with MuxAuth allowing multiple connections through a single multiplexer and configurable keepalive intervals, reducing connection overhead.
Provides simple methods like Rcmd, Put, and Get for remote command execution and file transfer, inspired by Python's Fabric, which reduces boilerplate code compared to raw SSH libraries.
Includes features for connecting through SSH gateways (jump hosts), demonstrated in the TestGate function, essential for accessing internal networks in DevOps workflows.
Supports multiple authentication methods across different networks via MuxAuth, as illustrated in the multiplexing example, allowing dynamic auth mapping based on IP networks.
Setting up multiplexing requires verbose configuration with maps for authentication and gates, as seen in TestMux, which can be error-prone and hard to manage for simple use cases.
Documentation is only linked to Godoc, which may lack tutorials, examples, or best practices, making it harder for newcomers to understand advanced features like MuxAuth.
Primarily designed for SSH operations, so it lacks features for other protocols or integrations, requiring additional libraries for comprehensive DevOps tools beyond SSH.
The abstraction layer might introduce overhead compared to directly using the standard SSH package, especially for lightweight tasks, though the README doesn't address performance benchmarks.