Automate Your Asset Lifecycle — Without External Tools
Qbilon integrates a powerful workflow engine directly into the CMDB. From discovery to decommissioning — fully automatable. And your existing bash scripts come with you.
What's broken today
- 01Asset lifecycle processes often run manually or through separate tools
- 02Your admin has a folder of bash scripts that run your IT — but they are scattered, unversioned and invisible to auditors
- 03CMDBs only capture, they do not automate
- 04Many tools treat automation as an afterthought: either not available, locked behind expensive plugins, or requiring you to stitch together external workflow tools via brittle integrations
- 05Others focus purely on discovery and mapping but offer no operational layer — no workflows, no remediation, no lifecycle management
- 06Integration between CMDB and workflow tools is cumbersome
How it actually works
No separate tool needed; natively part of the CMDB. Visual workflow designer.
- — Not an expensive add-on or external dependency — automation is core to the platform.
- — Onboarding of new assets
- — Change management workflows
- — Decommissioning and lifecycle management
- — Individual processes without programming
That folder of .sh files on your server? Import them as native workflow steps in minutes — no rewriting, no lost logic.
- — Your weekly CSV export/import routines? Turn them into scheduled, automated workflows — centrally in Qbilon, not as loose scripts on a local machine.
- — Clean, modern REST API. Every step API-driven — IT admins and developers love working with it.
- — Integration into existing toolchains: data flows natively from Cloud, Virtualization, SaaS tools and Network. No isolated silos.
- — Webhooks and event triggers. No manual CSV imports or bridge tools needed.
- — Your team is productive immediately — not after a three-month implementation.
New asset detected → automatic process starts. Categorization, assignment, notification. No manual intervention needed.
Integrate Existing Scripts — Onboarding in Hours
- 01Admin has a folder of Python or shell scripts for reports, checks or updates
- 02Scripts are imported as native workflow steps in Qbilon — no rewriting
- 03No reprogramming — existing logic remains intact
- 04Scripts now run structured, traceable and centrally in the workflow context
- 05Auditors can see every script execution in the audit trail
- — New server is detected
- — Workflow starts: categorization, ownership assignment
- — Notification to responsible team
- — CMDB entry is enriched
- — Change is planned
- — Impact analysis automatic
- — Approval workflow
- — Audit trail of the change
- — Already monitoring with PRTG? Your devices are already your initial asset dataset
- — Import existing maintenance scripts as workflow steps
- — CMDB is populated from day one — no empty database, no manual discovery project
Structured asset data are the raw material for machine learning in IT operations.
Natural language queries over asset data: "Which servers are affected by the outage and which business processes depend on them?"
AI-supported impact analysis based on reliable dependency data.
Outcomes teams can measure
- 01Less manual work
- 02Fewer human errors
- 03Faster processes
- 04Better compliance readiness through automated traceability
- 05Future-proof data foundation for AI-supported IT automation
