CloudSentinel AI
(IN DEVELOPMENT FOR 2027)
Predict failures.
Optimize energy
Monitor → Optimize
​
AIOps + GreenStack Cloud Telco
✓ Failure prediction 2–72 hours in advance
✓ Automatic Root Cause Analysis
✓ Automatic correction of known incidents
✓ Energy optimization + ESG reporting
Monitor → Predict → Optimize
EdgeForge AI
(GO LIVE WMF 2026)
Describe your project
EdgeForge builds the infrastructure
Prompt → Infrastructure
AI-Powered Infrastructure
✓ Natural language → cloud architecture
✓ Automatic deployment with Terraform + Ansible
✓ Catalog of pre-validated templates
✓ From prompt to running work environment in minutes
Describe → Deploy → Use
EdgeForge AI - HOW IT WORKS
1
DESCRIBE
Users write in natural language what they want to build
AI PROPOSES
2
The model interprets the request, selects the templates, sizes the resources
3
REVIEW & APPROVE
Architectural schematic, cost estimation, refinement via chat
4
AUTO DEPLOY
Terraform creates the resources, Ansible installs the software
CONVERSATION EXAMPLE
User
"I need a VM with AWX installed, exposed on HTTPS port (443), with an additional second 50GB disk dedicated to the PostgreSQL database."
EdgeForge AI
Proposed architecture:
-
1x AWX VM (4vCPU, 8GB RAM, Ubuntu 26.04)
-
OS Disk: 50GB (root)
-
Secondary disk: 50GB (mount /var/lib/postgresql)
-
HTTPS enabled on port 443 (Let's Encrypt / self-signed cert)
-
PostgreSQL on a dedicated volume
​
Estimated cost: €35/month
Deployment time: ~12 minutes
From the Skyline Dashboard
Natural language input sent via Skyline's web interface → forwarded to on-premise EdgeForge AI
CloudSentinel AI
Artificial intelligence for mission-critical cloud infrastructure
ANOMALY DETECTION
Real-time deviation detection across metrics and logs. Alerts before the problem becomes an incident.
PREDICTIVE FAILURE
Predicts failures 2-72 hours in advance. Designed specifically for OpenStack + Ceph + Kubernetes.
ROOT CAUSE ANALYSIS
Correlate events from all sources and automatically identify the root cause.
GREEN STACK ESG
Consolidate workloads, reduce consumption by 25-35%, generate CSRD-compliant ESG reports.