Platform Module 01

Network Monitoring
Complete Visibility at Scale

Enterprise-grade depth. Monitor 100,000+ nodes with millisecond resolution — from a single pane of glass.

100K+
Devices
Monitored simultaneously without performance impact
200+
Protocols
SNMP v1/v2c/v3, ICMP, WMI, JMX, HTTP, SSH and more
30s
Poll Interval
Configurable down to 5-second intervals for critical devices
99.9%
Alert Accuracy
AI-powered noise reduction eliminates false positives
Core Capabilities

Enterprise monitoring
beyond simple ping checks

GlideHubAi's network monitoring module delivers enterprise-grade depth in a modern, unified platform. Every metric collection method, every alert escalation path, every topology relationship — automated and AI-enriched.

Multi-Protocol Data Collection
  • SNMP v1/v2c/v3 — Full MIB support with custom OID walks, bulk GET, and SNMP trap receiver (UDP 162)
  • ICMP / TCP Checks — Latency, packet loss, jitter, port reachability with configurable thresholds per device class
  • WMI / PowerShell — Agentless Windows performance counters, event logs, service status without installing software
  • SSH / Telnet — Custom script execution on Linux/Unix hosts for bespoke metric collection
  • JMX Monitoring — Java application server metrics from Tomcat, JBoss, WebLogic via JMX connectors
  • HTTP/HTTPS Checks — Web transaction monitoring, SSL certificate expiry, response code validation
  • IPMI — Hardware sensor data from servers (temperature, voltage, fan speed) via IPMI 2.0
  • Database Monitors — MySQL, PostgreSQL, MSSQL, Oracle query execution time, connection pools
Smart Alerting Engine
  • Threshold-based triggers — Simple, hysteresis, and trend-based threshold evaluation with severity levels (Information → Disaster)
  • Dependency awareness — Suppress downstream alerts when upstream host is down (e.g. router outage suppresses all child alerts)
  • Maintenance windows — Scheduled suppression for planned outages with automatic re-enable
  • Escalation chains — Multi-level escalation: L1 → L2 → On-call → Management with configurable timing
  • Notification channels — Email, SMS, Slack, Teams, PagerDuty, webhook, Telegram, custom scripts
  • Alert correlation — AI groups related alerts into single incidents reducing noise by 73%
  • Anomaly detection — Baseline learning over rolling 7-day window; flags deviations without static thresholds
Topology & Discovery
  • Auto-discovery — Network scanning via SNMP broadcast, ICMP sweep, CDP/LLDP neighbor discovery
  • Dependency mapping — Automatic parent-child relationships built from routing tables and CDP data
  • Layer 2/3 maps — Visual network topology with real-time status overlays and traffic flow arrows
  • VMware/Hyper-V — Hypervisor discovery: VMs, hosts, datastores, resource pools automatically mapped
  • Cloud discovery — AWS EC2/RDS, Azure VMs, GCP instances auto-discovered via API credentials
  • Custom inventory — Device grouping by location, department, function with bulk template application
Agent Architecture
  • GlideAgent (active) — Lightweight 2MB agent for Windows/Linux; active checks, encrypted comms, auto-upgrade
  • GlideAgent (passive) — Agent listens; server initiates collection — for DMZ/firewalled environments
  • Agentless mode — Pure SNMP/WMI for network devices that don't accept software installation
  • Proxy nodes — Distributed collectors for multi-site deployments; local caching during WAN disruptions
  • Java gateway — Dedicated JMX gateway process for application server monitoring without Java agents
Live Monitor Feed
● LIVE
HostMetricValueStatus
core-sw-01CPU Load23%OK
edge-fw-02Bandwidth In847 MbpsOK
db-server-05Memory87%WARN
app-node-12Response Time142msOK
san-array-01Disk I/O94%HIGH
vpn-gw-03Active Sessions1,247OK
nas-storage-02Capacity78%OK
Sample SNMP Template Config
# GlideHubAi — Cisco IOS Template template_name: Cisco IOS Router items: - oid: 1.3.6.1.4.1.9.2.1.58.0 name: CPU 5min avg interval: 60s trigger: expr: last()>80 severity: HIGH - oid: 1.3.6.1.4.1.9.2.1.8.0 name: Free Memory unit: KB
Feature Matrix

What's included in
GlideHubAi monitoring

A comprehensive look at every capability delivered out of the box — no additional modules, no hidden add-ons.

Capability Area Feature Included Notes
ProtocolsSNMP v1/v2c/v3 + full MIB support✓Bulk GET, trap receiver (UDP 162)
ProtocolsICMP / TCP reachability checks✓Configurable per device class
ProtocolsWMI / SSH / JMX / HTTP / IPMI✓Agentless and agent-based
DiscoveryAuto-discovery & dependency mapping✓SNMP broadcast, CDP/LLDP, API
DiscoveryCloud discovery (AWS, Azure, GCP)✓Via API credentials
AlertingThreshold + hysteresis triggers✓Multi-severity levels
AlertingAI anomaly detection (no thresholds)✓7-day rolling baseline learning
AlertingDependency-aware alert suppression✓Upstream → downstream suppression
IntegrationUnified syslog + monitoring view✓Same platform, same data model
IntegrationNo-code automation from alerts✓Drag-drop automation engine
ComplianceConfiguration backup integration✓Native — no external tool
ComplianceAutomated compliance reporting✓PDF/Excel on schedule
DeploymentSaaS or on-premises✓Same feature set, both modes
SupportNamed enterprise architect✓Enterprise tier
FAQ

Common questions
from IT architects

Can't find your answer? Talk to our solutions team.

The platform uses a distributed collector architecture with horizontal scaling. Proxy nodes handle local polling and cache data during WAN disruptions. The central server aggregates, correlates, and stores data in a time-series database optimized for high-cardinality metrics.

Yes. GlideHubAi includes a standard XML template importer that translates monitoring items, triggers, and graph definitions. Most industry-standard templates migrate with zero modification. Custom macros and value mappings are also imported automatically.

The default minimum is 30 seconds for most checks. For critical items using active agents, 5-second intervals are supported. Sub-second monitoring is available for specific health checks via the dedicated high-frequency polling engine.

GlideHubAi learns rolling baseline patterns for each metric over a 7-day window, accounting for time-of-day and day-of-week variations. When a value deviates beyond the learned norm (configurable sigma), an anomaly trigger fires — no static thresholds required.

Ready to see it live?

A focused 30-minute session — watch GlideHubAi discover your entire network topology in real time.

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