Currently set to Index
Currently set to Follow

Detect and resolve issues before the business or customers experience an impact

VIA Process Automation

New digital technologies have changed how services are delivered creating interdependencies across the compute/store, network, and application delivery stack. 

Monitoring and incident management for these layers in operational silos results in…

Constrained productivity

Redundant work

Slower service restoration

VIA AIOps delivers the process automation capabilities needed to transform IT operations with a new service assurance operating model across the service delivery ecosystem.

Network monitoring and network performance
Application monitoring and application performance
Dedicated, hybrid in-house, and cloud infrastructure monitoring and performance

 

VIA monitors events and identifies faults and performance issues faster, more accurately, and with less human intervention.

VIA AIOps Smart Incident Approach

Al-powered correlation substitutes for high levels of operator monitoring expertise across the service ecosystem.

Incidents are fully triaged and contextualized for immediate action.

A single incident is automatically generated across layers with cause, symptoms, and impact determined.

Nuanced and transient issues are automatically identified for further action.

Automated analysis of root cause, correlated symptoms, and population affected.

Impact predicted to prioritize action.

Automatically engages the proper fix agents and provides recommended actions using VIA Digital Fingerprints.

Incidents may be actioned automatically for resolution.

Closed-loop remediation with northbound and southbound systems.

Traditional Process

Operations staff detect, report, categorize and prioritize incidents.

Research undertaken to diagnose the problem.

Population and data set affected investigated by 2nd level support staff.

Fix staff notified to resolve.

Support staff verifies issue closure.

Staff closes the incident and communicates to up and downstream systems as needed.

VIA AIOps Smart Incident Approach

Total ecosystem observability across service domains.

Automated analysis of root cause, correlated symptoms, and population affected.

Impact predicted to prioritize action.

Automatically engages the proper fix agents and provides recommended actions using VIA Digital Fingerprints.

Incidents may be actioned automatically for resolution.

Closed-loop remediation with northbound and southbound systems.

VIA AIOps Process Automation Workflow

Process Automation Capabilities

Total Ecosystem Observability Across Service Delivery

Data Collection
Ingests streaming data from
devices, monitoring tools and
telemetry.

Data Enrichment
Real-time contextual
enrichment, machine learned
topology, automatic
development and continuous
update of baselines.

Monitoring
Monitoring within and
across service domains for
fault and performance
management.

Incident Management Across Service Domains

Triage and Fault Detection
AI powered correlation, signal
grouping, early outlier
identification, correlation to
customers’ experience.

Incident Declaration
and Root Cause Analysis
Automatic incident declaration
with probable root cause, key
systems, location, and
customers impacted defined.

Remediation and Closure
Availability of remediation
recommendations and
automatic closure of tickets
with communication to
downstream systems
impacted.

Evolution of Remediation Automation and Continual Imrovement

Continuous Improvement
Continuous learning and
automatic model improvement
over time.

Extending Automation
Clear box approach with
explainable AI to instill
confidence along with
bidirectional communication
with service management
systems to extend automation
to additional tasks.

Extensible
New data sets added in 60
minutes without writing code
to support new and changing
services.