Automation for Service Providers
Fully customizable, vendor-agnostic and open-standard automation framework, enabling SDN and NFV architecture use-cases for challenging solution requirements on every successful service provider
Automation Use – Cases for different SP areas
MAT allows the SP to build customized use cases that suit their needs the best, using well known market standard programming languages and techniques such as python, ansible and much more. We have a wide use-cases portfolio of proven network automation solutions based on MATs platform.
Service Providers can benefit from leading automation concepts such as Intent Based Networking, Model Driven Networks and Closed-loop automation on a truly open platform, that delivers a deeper level of intelligence and intended state insights on network planning and operation. These insights replace the manual processes of gathering network data, configuring it and reacting to network issues.
Flexible, open and multi-vendor
Being one of the most flexible, open and vendor-agnostic automation platform available on the market, MAT can host many use-case solutions on a single instance platform and on each step of the process. As real cases examples, an SP can have a mobile use-case for 5G eNodeB KPI gathering, checking and alerting while also having a DC services controller use-case on the same framework automation platform.
- 1. Plan
- 2. Design
- 3. Deploy
- 4. Operate
- 5. Assess
We have proven experience among several countries and many SPs
Other solutions provided by Iquall Networks
Networking Professional Services
Iquall Networks’ comprehensive product line comprises a wide array of solutions and resources, each of which is focused on solving the different needs that operators currently face. These services include
- Networking solutions
- Consulting and implementation services
- Operation and maintenance services
- Training services based on the leading state-of-the-art technologies
Our services intend to optimize the way in which the operators’ network resources are allocated, thus increasing their reliability and scalability, and preparing them for the new challenges ahead.