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Railshot

AI deployment & operations platform

Deploy a locally built web app to prepared cloud and on-premises environments, then run it.

An AI deployment and operations platform that takes a web app built locally to prepared cloud or on-premises environments and keeps running it.

2026.09.28 — 2026.10.04 · Completed

Team project · my part: CI planning and implementation, CSP clusters and Ansible interface, operations, team code review and integration

SoftBank Hackathon 2026 powered by KOREC & ProgatePreliminary participant · finals selection — be announced 2026.10.26 (as of 2026.10.07)

  • WebImplemented · hackathon
  • MCP serverImplemented · remote · local

Collection success and HTTP response are read as different signals.

Prometheus, Grafana and Blackbox Exporter run in Docker Compose on the operations control VM, and exporters in the app runtimes report node, Pod and Deployment state.

  1. control VM · Docker ComposePrometheus
    • to Exportersscrape · up
    • to Grafanametrics
    • to Blackbox Exporterprobe results
  2. Grafana
  3. Blackbox Exporter
    • to Public app URLHTTP probe
  4. App runtimeExportersnode-exporter · kube-state-metrics
  5. Public app URL
Prometheus scrapes the exporters in the app runtime for the up signal, Blackbox Exporter sends HTTP probes to the public app URL for probe_success, and Grafana displays them.