Choosing the right monitoring solution is critical, we want you to have the best information to do so.
Overview
Choosing the right Network Monitoring platform is foundational to your business. This page compares Network AI vs Monitoring in traditional ways, to help you choose the one that’s right for you.
Network AI vs Monitoring Comparison
What Are Customers Saying?
It will open a link down ticket, and it will open a BGP ticket and make it a child of that ticket. The ops team doesn’t see the child tickets, just the top-level ticket, so we still have an audit trail…we have actually developed confidence in the AI/ML system in a way where we are actually pumping it directly in our ticketing system.
Fortune 500 eCommerce
“50% of the anomalies detected by Network AI were not detected by our existing tools.”
Arnaud Plouhinec, Head of Automation and Data/IA Program, Orange International
With Augtera we are able to prevent facility failures by getting advanced notification when our environmental system begins to degrade.
Ken Branscum, Director of Operations, Vyve Broadband
Anomaly detection results are excellent.
Fortune 500 Finance
Network AI Creates A Virtuous Cycle
Network AI creates a virtuous circle, reducing the number of alerts / tickets that need to be reacted today, while preventing failures in the future. As a result, Network Operations continue to experience productivity gains over time.
The Impact of Network AI
Related Content
Network AI Platform
Below are a few highlights. To learn more, go here: Network AI platform
Next-Generation Platform
Network AI Platform is a Next-Gen horizontally-scalable microservices based architecture offered as SaaS, Hybrid-Cloud, or On-prem deployments.
It is deployed in production at Financials, Retail, Transport, SPs, and MSPs.
9+ Purpose-Built Network Algorithms
Network patterns are different than compute and storage. Anomaly detection requires purpose-built algorithms. Augtera Networks has already developed 9+ algorithms and continues to develop additional ones as new use cases arise.
Multi-Layer, Topology-Aware Network Model and Auto-Correlation
Networking is significantly different than other IT resources, it is all about relationships. If the network tool being used does not understand the relationships, it does not understand had to effectively eliminate noise and identify the root of an incident. In addition, the Network AI platform understands domain / solution-specific constructs such as Top of Rack, Spine, and POD.
Read more about the Network AI platform
Network AI Solutions
Network AI is designed and developed to provide actionable insights and action for any network domain. This section highlights some areas where Network AI has deep experience and solutions engineering.
Data Center Solution
Data Center is one of the most challenging areas of networking today with interface explosion, many paths between two end points, transient errors, underlays, overlays, and more. A solution must understand all the critical Data Center constructs, ingest the needed data, and have proven integration with switching, routing, firewalls, load balancers, servers and more. Read more about the Network AI Data Center Solution
Real-Time Log Solution
Most solutions today are historical log searches. Used by network operations teams infrequently after an incident has occurred. Network AI detects anomalies in log messages in real-time, extracts metrics, identifies rare / new messages that may be anomalies, and more. Read about a completely new log experience.
Read more about all Solutions
