Visibility of end-user experience over networks is challenging, particularly as applications are further distributed.
Many factors impact service experience, even though the network infrastructure is available:
Client network infrastructure is available and functioning. However, end-users are complaining of slowness and an inability to access critical business services.
As critical business services move and change in line with a client's digital transformation agenda, ensuring end-users have a positive experience is paramount.
Additionally, internal IT teams need greater visibility into how users are experiencing business-critical applications and services, particularly as they move to SaaS and Cloud.
Service Experience Insights
Service Experience Insights are a way for clients to continuously monitor how their users experience accessing key business-critical applications – whether they are in the cloud or on-premise – from multiple locations on their network.
Service Experience Insights supports the following key use cases:
Continuous path monitoring including ping loss, latency, jitter, and ping round trip time between edge locations and SaaS, Cloud, or on-premise target
Speed test monitoring between edge locations and Cloud or on-premise targets
Internet path discovery and monitoring showing the route traffic takes from the edge location to targets
Service Experience Insights provides an easy-to-deploy flexible system for continuous monitoring between agents and targets
Deploy lightweight probing agents throughout the network
Create sophisticated probing policies that logically map to the network
Visualize real-time and time-series monitoring data in a stand-alone dashboard or the NTT Service Portal
Comprehensive, high-fidelity, and affordable network service experience monitoring
Flexibility to monitor rapidly evolving network topologies and changing business requirements
Vendor and topology agnostic solution designed to address as many enterprise use cases as possible
Simple to deploy, simple to use SaaS-based platform designed to provide an observability layer on top of networks under management by NTT
Variety of Agents for Heterogeneous network environments
For dedicated network devices
SPEKTRA Edge appliances and deployed to generic devices running EdgeLQ OS.
For application-hosting network appliances
Deploy in Docker containers to Cisco 9K series application-hosting routers and switches.
For data centers and cloud environments
Deploy to VMs with Docker runtime hosted in public or private cloud environments.
For mobile end-user devices
Deploy as native applications on Windows and macOS – Self Installation and Endpoint Management Supported.
The Service Experience Insights Dashboard visualizes network performance across all agents by geography, targets, ISPs, and groups.
Unified view of internet conditions across distributed networks
Monitor internet quality by hardware, ISP, region, teams, and regions
Add custom targets and target groups, evaluate network performance by latency, jitter, and loss thresholds
Holistic view of branch-to-branch, branch-to-cloud, cloud-to-data center network quality, etc.
Respond to poor internet quality affecting your teams
Reroute time-sensitive work assignments to teammates in unaffected areas
Improve network upgrade planning with real-time and time-series data
Support end-users and monitor critical services
Monitor end-user hardware, WiFi, and local internet conditions
Respond to ISP slowdowns and outages that degrade network performance
Understand the quality of VPN connections to critical infrastructure
Identify and analyze localized network issues with alerts and saved reports
Quickly scale network observability and alerting across the entire network
Theshold-based alerts for agent-to-target paths with email and webhook notificaitons
Token-based onboarding for Mobile Agent on PCs, VMs, and as Docker container on x86 and ARM devices
Endpoint management support for Itune, JAMF, and other systems
Email-based end-user installation and activation
REST API management of all systems for integration to existing dashboards