Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
NetOp Cloud serves as an AI-powered network operations platform aimed at streamlining and improving network management for both enterprises and managed service providers. It delivers real-time insights within hybrid and multi-vendor settings, effectively merging traditional and cloud-managed networks into a cohesive dashboard. Among its notable features are predictive analytics for networks, automated solutions for incidents, and smart filtering of alerts, which together can decrease IT ticket submissions by as much as 90% and speed up resolution times. The AI component of NetOp is designed to continuously learn and adapt to the behavior of the network, offering proactive alerts for anomalies, conducting root cause analyses, and either suggesting or executing corrective measures independently. Furthermore, it allows for smooth integration with pre-existing systems through APIs and can scale from single-site implementations to extensive global networks, making it a versatile choice for various organizational needs. This adaptability ensures that organizations can maintain optimal network performance as they grow and evolve.
Description
Selector’s software-as-a-service leverages machine learning and natural language processing to deliver self-service analytics that facilitate immediate access to actionable insights, significantly decreasing mean time to resolution (MTTR) by as much as 90%. This innovative Selector Analytics platform harnesses artificial intelligence and machine learning to perform three critical functions, equipping network, cloud, and application operators with valuable insights. It gathers a wide array of data—including configurations, alerts, metrics, events, and logs—from diverse and disparate data sources. For instance, Selector Analytics can extract data from router logs, device performance metrics, or configurations of devices within the network. Upon gathering this information, the system normalizes, filters, clusters, and correlates the data using predefined workflows to generate actionable insights. Subsequently, Selector Analytics employs machine learning-driven data analytics to evaluate metrics and events, enabling automated detection of anomalies. In doing so, it ensures that operators can swiftly identify and address issues, enhancing overall operational efficiency. This comprehensive approach not only streamlines data processing but also empowers organizations to make informed decisions based on real-time analytics.
API Access
Has API
API Access
Has API
Integrations
Apache Kafka
Dynatrace
Elastic Cloud
GitHub
GitLab
Google Cloud Platform
Jira
Microsoft Azure
Microsoft Teams
MongoDB
Integrations
Apache Kafka
Dynatrace
Elastic Cloud
GitHub
GitLab
Google Cloud Platform
Jira
Microsoft Azure
Microsoft Teams
MongoDB
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
NetOp.Cloud
Country
United States
Website
netop.cloud/
Vendor Details
Company Name
Selector
Country
United States
Website
www.selector.ai/product/
Product Features
Network Monitoring
Bandwidth Monitoring
Baseline Manager
Diagnostic Tools
IP Address Monitoring
Internet Usage Monitoring
Real Time Analytics
Resource Management
SLA Monitoring
Server Monitoring
Uptime Monitoring
Web Traffic Reporting
Product Features
Network Monitoring
Bandwidth Monitoring
Baseline Manager
Diagnostic Tools
IP Address Monitoring
Internet Usage Monitoring
Real Time Analytics
Resource Management
SLA Monitoring
Server Monitoring
Uptime Monitoring
Web Traffic Reporting