Platform Module 02

Automation Engine
Visual Workflow Builder

Drag-and-drop intelligent workflows. 200+ action nodes. Self-healing IT operations — no scripting required.


200+
Action Nodes
Pre-built integrations ready to use
8s
Avg Resolution
From detection to fix for known playbooks
95%
No-Code Setup
Of workflows built without writing a single script
500+
Playbooks
Community library of ready-to-import playbooks

Build automation flows
visually, powered by AI

Drag nodes from the palette onto the canvas. Connect them to build powerful automation workflows. Click any node to inspect its configuration.

Triggers
Alert Trigger
Threshold Breach
Syslog Pattern
Schedule (CRON)
Webhook In
Logic
IF / Condition
Switch / Route
Loop (forEach)
Delay / Wait
AI Decision
Actions
Restart Service
Run Script (SSH)
Scale Resource
Block IP (FW)
Push Config
Notifications
Send Slack
Email Alert
PagerDuty
Create Ticket
Outputs
Update Dashboard
Log to Audit
Generate Report
Webhook Out
NODES: 9  |  EDGES: 10
DRAG · ZOOM · CLICK NODE FOR DETAILS
↑ Click any node to inspect its configuration

Select a node in the canvas above to see its full configuration, input parameters, output schema, and execution history.

Trigger
Logic / Decision
Remediation Action
Notification
Output / Report

What makes GlideHubAi's
automation different

Multi-System Workflows

Workflows span multiple systems and departments. One trigger can check systems, validate, execute scripts, update docs, and notify stakeholders — all in under 10 seconds.

ML Root Cause Analysis

The AI engine classifies incidents against 500+ known patterns, suggests probable root causes with confidence scores, and selects the most appropriate remediation playbook automatically.

Customizable Playbooks

500+ community playbooks in the library. Import, customize, and version-control your own. Playbooks align with your organization's change management policies and can require approvals at any step.

Human-in-the-Loop

Configure approval gates at any workflow step. High-risk actions (firewall rule changes, server reboots) pause and request explicit approval via Slack, Teams, or email before executing.

Full Audit Trail

Every automated action is logged with timestamp, triggering event, executing user/system, parameters, and outcome. Searchable, exportable, and admissible for compliance audits.

Mobile Approvals

Approve, reject, or escalate pending automation actions from the GlideHubAi mobile app. Critical incidents never wait for you to reach a desk — respond from anywhere.


High CPU
Auto-Remediation

A pre-built playbook that detects, validates, and resolves high CPU conditions without human intervention — from alert to resolution in under 30 seconds.

00:00
Threshold Trigger

CPU > 85% for 5 consecutive polls on target host

00:02
AI Validation

Cross-check memory, disk I/O, and process list to confirm real load vs. monitoring anomaly

00:05
Root Cause ID

ML engine identifies top offending process (e.g. runaway Java GC, zombie cron job)

00:08
Auto-Remediate

Kill or restart offending process via SSH; clear cache if applicable

00:14
Verify & Notify

Confirm CPU returns to baseline; open Jira ticket with full context; Slack notification to #ops channel

00:28
Incident Closed

Auto-close ticket; update dashboard; log to compliance audit trail

# GlideHubAi Playbook — high-cpu-remediation.yaml name: High CPU Auto-Remediation v3.1 trigger: type: threshold metric: system.cpu.util condition: avg(5m) > 85 steps: - id: validate action: ai.root_cause_analysis timeout: 10s on_fail: escalate_to_l2 - id: get_processes action: ssh.run_command params: command: ps aux --sort=-%cpu | head -5 host: {{ trigger.host }} - id: condition_check action: logic.if condition: ai.confidence > 0.85 true_path: auto_fix false_path: request_approval - id: auto_fix action: ssh.kill_process params: pid: {{ ai.suspect_pid }} - id: notify action: slack.post_message params: channel: #ops-alerts message: Auto-resolved: CPU spike on {{ host }} - id: ticket action: jira.create_issue params: type: Incident priority: {{ severity }} auto_close: true

Start automating in minutes

Our onboarding team imports your first 5 playbooks on day one — zero learning curve required.