Q-Assure
A single, correlated view of service health across every layer of your operation. Multi-source, multi-protocol events are normalised into one semantic model, topology-aware correlation suppresses noise, and only incidents that genuinely need intervention surface. SLA attainment is monitored continuously, with breaches predicted before they occur.
What it does.
Topology-aware correlation
Groups related events into single actionable incidents and traces cascading failures to the originating source, reducing raw alert volume by up to 85%.
Multi-protocol ingestion
Native support for the common operational protocols, SNMP, NETCONF/YANG, Syslog, gRPC, REST and more, with adapters for leading platforms.
SLA breach prediction
Measures availability and quality against contracted thresholds and predicts approaching breaches ahead of time, triggering automated escalation.
Maintenance integration
Change-management integration suppresses alerts from resources under planned work, eliminating maintenance-related noise spikes.
Adaptive thresholding
Dynamic thresholds learn behaviour and adjust to seasonal and time-of-day variation, eliminating the manual tuning behind chronic false positives.
Explore the rest of the platform.
TelioQuantAI Predictive Analytics
Predict. Prevent. Perform.
RCA Automation
From alert to answer in minutes.
Service Orchestration
Zero-touch. Zero-wait. Zero-error.
Workforce Management
Right resource. Right place. Right time.
See Service Assurance & Fault Management on your operations.
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