Type one command on the Salt master and ten thousand machines answer, because Salt publishes jobs to minions that subscribe, check whether the job targets them, and execute it in parallel before reporting results back. Configuration management describes the desired end state in YAML state files: which packages, files, services, and users should exist, and highstate runs converge every targeted minion toward that description with dependency ordering. Targeting goes far beyond hostnames, since grains describe each minion's operating system, hardware, and roles, and Pillar delivers per-minion secrets and settings rendered only for the machines that should receive them. Beacons watch services, load, disks, logins, and file changes on minions and emit events onto the bus, while reactors bind those events to prepared responses, so a failed service can restart itself and an administrator gets notified with the evidence attached. Orchestration runners coordinate multi-machine procedures in sequence, such as draining a load balancer pool, patching it, and returning it to service, and the master exposes HTTP APIs and pluggable returners that stream job results into your databases and dashboards. Machines that cannot run an agent are reached through Salt SSH, and Salt Resources target appliances and API endpoints that should be managed without a minion at all. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Sensors watch your infrastructure so your engineers do not have to watch it at 3 a.m. StackStorm is event-driven automation: Python sensors poll or listen to external systems (monitoring alerts, ticket updates, chat messages, webhooks, timers) and inject each event as a trigger. Rules match triggers against criteria you define and fire the response automatically, mapping the event payload straight into action parameters. Actions do the work: SSH commands, REST calls, and integrations for AWS, Docker, OpenStack, Puppet, Jira, Slack, and hundreds more from community packs, or your own scripts wrapped with a few lines of metadata. Multi-step responses become workflows that sequence actions with conditions, branching, and data passed between tasks, handling everything from disk-full remediation to full deployment pipelines. Everything bundles into packs, the shareable units that group sensors, rules, actions, and workflows per product or per automation, installable from the StackStorm Exchange or your own Git repositories. The web UI runs actions, explores workflow executions down to individual task results in real time, manages rules, and installs packs, while every execution, manual or automated, lands in an audit trail with its triggering context. ChatOps aliases even let the team trigger approved automations from chat. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.