A lightweight Go tool for distributing and executing commands over SSH across multiple servers.
grapes is a lightweight command-line tool written in Go that enables developers and system administrators to distribute and execute commands across multiple servers over SSH. It solves the problem of manually connecting to each server to run the same commands by providing a simple configuration-based approach to manage server groups and predefined commands.
System administrators, DevOps engineers, and developers who need to manage multiple servers and execute commands across them efficiently.
Developers choose grapes for its simplicity, minimal dependencies, and ease of integration with existing SSH setups. Unlike more complex orchestration tools, grapes focuses solely on command distribution over SSH without requiring agents or additional infrastructure.
easy way to distribute commands over ssh.
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Focuses solely on command distribution over SSH without unnecessary bloat, adhering to its philosophy of simplicity as stated in the description.
Uses existing SSH keys and standard configurations, eliminating additional authentication setup, as highlighted in the key features.
Supports parallel command execution with the --async flag for faster operations across servers, a feature explicitly mentioned in the README.
Can be run inside Docker containers for consistent environments, with a provided example in the README for easy deployment.
Validates server fingerprints against ~/.ssh/known_hosts to prevent man-in-the-middle attacks, addressing CVE-2017-3204 as noted in the update.
No built-in error recovery or rollback mechanisms; failures are reported but must be managed manually, which can be risky in production.
Requires manual YAML file setup for servers and commands, making it cumbersome for dynamic or rapidly changing environments.
All commands must be predefined in the config file, limiting flexibility for spontaneous tasks without editing configuration.
Exclusively works over SSH, so it's unsuitable for environments using other protocols or requiring agent-based management features.