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MongoDB Atlas runs apps anywhere
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.
GPU environment management and cluster orchestration
Genv is an open-source environment and cluster management system for GPUs. Genv lets you easily control, configure, monitor and enforce the GPU resources that you are using in a GPU machine or cluster. It is intended to ease up the process of GPU allocation for data scientists without code changes.
Ballast is a tool for balancing user load across SSH servers that supports user-specific policies as well as traditional policies based on metrics such as CPU load. It includes a simple client, a lightweight data server, and a data collection agent.
PyDSH is a remote administration tool, consisting of pydsh and pydcp. Pydsh allows you to run a command on multiple hosts in parallel over RSH, SSH or Telnet, OR manage your SSH public keys. The pydcp command allows copying files to/from multiple hosts.
chainssh is a shell script to smplify the ssh login via multiple sshgateways/firewallgateaways. e.g. connect from homehost via sshgateway to a clusternode with one command.
AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
Cluster101 allows you to run software on many hosts and perform a simple task scheduling. No need to install any software on the hosts (it just runs tasks via ssh). It is typically used for running scientific applications on University campuses.
A very lightweight Python program that executes commands on multiple Linux hosts in a user-designated number of threads via SSH. Intended for management for a large number of Linux/Unix nodes
pdo allows users to run SSH commands on multiple remote hosts in parallel, or run commands (such as rsync etc.) locally against multiple remote hosts in parallel.
SimParEx executes a program(command) on many computers (farm) in parallel and collects the results (task farming). Major features: minimal requirements (TCP, SSH, Perl), flexible task definition, web interface.