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Operation's Dashboard all-inclusive

Fast, lightweight self-hosted IT monitoring & alerting platform

Sep 24, 2026 Developer Tools
alerting monitoring on-premise python self hosted

About

RuDiCo Dashboard is a fast, lightweight, strictly on-premise operational monitoring platform built on Python and Flask, deployable locally on Debian servers or in private datacenter environments. It features a modular architecture that allows users to enable three specialized monitoring engines—RMM, CyberSec, Ticketing (With brand or personal program), and Backup—either individually or combined within a single unified control panel.The platform includes a self-service web portal with an integrated ticketing system and granular role-based access control (Administrator, Moderator, and Standard User roles) for streamlined client management, licensing, and support.It offers three distinct tiers:30-Day Evaluation (€0): Instant, automated license generation via the portal upon EULA acceptance for internal pilot testing, technical validation, and local trial installations.Pro Corporate (€79/month, billed annually at €948/yr): Tailored for internal IT teams, supporting up to 150 endpoints/checks with a Debian one-liner installer, role management, PDF/email operational reports, and ticket-based support.MSP Partner (€249/month, billed annually at €2,988/yr): A multi-tenant, fully white-labeled solution for MSPs supporting up to 10 client tenants (expandable at €15/mo per extra client), complete with aggregated security alert views and dedicated Discord/priority support.Designed to replace bloated legacy tools, RuDiCo Dashboard delivers complete data sovereignty, minimal resource consumption, and a turn-key operational workflow for sysadmins, IT departments, and service providers.

Comments (3)

Alta Kuphal Alta Kuphal 1 week ago

nice stack with Python and Flask, but what’s the scaling strategy for larger deployments?

Wilfrid Hudson Wilfrid Hudson 3 days ago

fast and lightweight are key for on-premise monitoring, especially in private datacenters. good to see that focus.

Laurine Kessler Laurine Kessler 2 days ago

fast and lightweight, how does it handle large data sets?