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Network performance

Monitor and improve your network for peak performance. Differentiate with exceptional experience

Network performance
Network performance

Dynamic network performance to meet high customer expectations

Networks are changing and expanding, yet customers expect their applications and services to perform well every time. Software-defined networks and automation require dynamic, customer-centric and AI-driven network performance assurance. This is key to provide clear performance visibility into each service, customer and device.

Challenges

Traffic and data volume

The network is a rich source of data, but the volume is overwhelming. Mobile data traffic growth and new devices connected to 5G networks make it critical to get control and improve visibility. Cutting through the noise to identify anomalies and resolve issues at speed is essential. 

Complexity impedes automation

Complex systems slow down operations teams and digital transformation goals. Simplifying to automate involves clear digital processes, open APIs, and insightful data. Automated provisioning, assurance, and troubleshooting processes require dynamic high quality, low-latency network performance data.

Visibility across domains

Distributed networks stretch management across physical and virtual, core, and edge. An integrated view of cross-domain network performance is critical to understand your network. The ability to relate network infrastructure performance to service quality and customer experience is the ultimate goal.

Dynamic on-demand networks

Faster service launches and dynamic virtualized networks are driving change On-demand network services require fast provisioning, troubleshooting, and issue resolution which rely on a dynamic topology view. This helps to stay on top of changing network events in hybrid networks and to maintain service quality.

Change drivers

Network performance requirements are rapidly evolving. What’s driving this: service mix changes, more stringent latency demands, dynamic network and service topologies, and hard-to-detect service degradations. To stay ahead and identify problems before customers do, service providers need complete performance visibility, fast insights and high-quality data for automation.

Service degradations impact customers more than outages. Operations is lucky to see 10% of them.

Impacts

Slow MTTR

Increased churn

Ineffective automation

Delayed insight

The path forward

It’s hard to maintain optimal network performance with slow analytics, volumes of data without context, alarm noise, and details lost in KPI averages. Drive peak performance with adaptive insight that’s timely, customer-centric and supports automation. Detect issues. Correlate and isolate faults.

Dynamic networks and services, and 5G customer expectations, demand a new approach to service assurance.

Attributes

Integrated QoS and QoE

Rapid insight

AI-driven

Dynamic topology

Benefits

Dynamic networks and applications are complex. Adaptive service assurance provides the right data at the right time, in context, to deliver network performance that exceeds customer expectations.

Integrated multi-domain visibility

Complete all-layer network and service visibility from customer to RAN and core to cloud. Correlate diverse data sources to monitor every service, customer and device.

Integrated visibility also means seamless insight across hybrid physical and virtualized networks and services, as well as multigenerational 2G-3G-4G and 5G networks.

Faster issue resolution

Combine active assurance, instant anomaly detection and cross-domain topology visibility and automated root cause analysis that cuts through seas of alarms to identify and group customer impacting events.

Correlate QoE with QoS to rapidly isolate the fault domain and prioritize action with customer impact assessment and automatic case correlation. Cut time spent troubleshooting from hours to minutes.

Quality data for automation

Create a foundation for real-time automation with a uniform, accurate view of resources, services, performance, customer experience and how they relate.

Unify siloed systems, reveal dependencies and eliminate data quality issues that impair effective automation with dynamic topology and AI-driven analytics that extracts additional value from existing systems.

Assure dynamic networks and services

Use the most efficient combination of monitoring, test, streaming analytics, and AI to maintain current visibility into all critical services, underlying infrastructure and the resulting customer experience.

Realize closed loop automation and fault remediation with automated root cause analysis, predictive and prescriptive analytics. Extract the right information from live data, when it’s needed.

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