For every dollar spent on edge computing capacity, analysts predict that enterprises will be spending $25 on the creation of services using edge computing.
We know that CSPs’ infrastructure investments have in the past often fueled financial success for others, principally the global vendors of OTT products. With edge computing, CSPs should avoid this by shifting their business and operating models away from infrastructure towards value propositions for tailored services and apps. After all, spending trillions on 5G and edge computing without offering products and services with a high value added would be like buying beachfront property only to put up a hot dog stand on it.
To monetize service creation on the edge, you need a platform for creating new services by consolidating APIs and presenting unified access to the API framework for both your own and third-party developers. To be the provider of choice for edge services and differentiate your offering, you need more than just a Network Exposure Function (NEF). You need to offer organizations a platform and ecosystem for low-code development of modular and scalable capabilities that are easy to reuse in various contexts and use cases.
With CSPs within our ecosystem, we also plan to evolve our CPaaS layer into a Marketplace for Composable Apps which will allow third parties to also upload and sell their own PBCs and APIs – regardless of the technology used to create them – to enterprises composing apps on the Marketplace.
Network Function Virtualization for Value-added Telecoms Services
In this e-book, we explain the following elements of network function virtualization and make recommendations where appropriate:
- ETSI NFV Standard Architecture
- Element Management System
- Network function virtualization infrastructure (NFVI)
- Virtualization Layer, Virtual Machines and Hypervisors
- Virtualized Infrastructure Managers
- VNF Managers
- Artifact Lifecycle Management and CI/CD
- Tools for Monitoring, Logging and Observability of Virtual Network Functions
- Containerization and its Importance in Edge Computing
Estimated Reading Time: 24 minutes (20 pages)