Network SLA Management

The Network SLA Management Challenge

Virtualized networks are rapidly becoming the foundation of enterprise telecommunications, evolving into an essential resource for scenarios where uptime and performance are essential for the proper functioning of mission-critical services.

Each of these networks will have its own service level agreement (SLA) around latency and/or availability. Comprehensive and robust private network service-level management is essential for achieving planned business outcomes and making decisions on accurate, relevant, and consistent data. Organizations also need real-time machine learning intelligence to properly manage SLAs.

Why Volt for Network SLA Management

Your private network will only function as well as your real-time decisioning engine. The core issue is the need to quickly ingest and understand colossal amounts of telemetry data from across the network to spot problems, take immediate decisions, and trigger actions in real time, which becomes a problem when a centralized data platform does the processing.

ML models are a great tool to spot anomalies and self-learn from actual outcomes to ensure better responses over time without the need for human intervention to update business logic.

Volt is a distributed real-time data processing platform that removes the layers inherent in other systems. Volt’s smaller footprint is optimized to be deployed around the network edge, allowing you to strip out irrelevant and unimportant data, minimize data sent to a central processing facility, and make low-latency decisions at the edge while the data, and any actions resulting from it, are still relevant.