IT Systems Management

RADCOM Launches Cloud-Native, Automated 5G Assurance on Amazon Web Services

RADCOM | September 01, 2021

RADCOM Ltd. today announced the launch of RADCOM ACE on Amazon Web Services (AWS), providing real-time subscriber analytics and advanced troubleshooting for telecom operators adopting cloud for rolling out 5G, Internet of Things, and edge services as well as operators already running 4G and VoLTE networks. RADCOM ACE helps operators enhance the Mobile Wireless CX (Customer Experience) and ensure service quality on a public cloud. The integration of RADCOM ACE with AWS enables operators to dynamically deploy an automated, cloud-native service assurance platform while utilizing AWS to scale efficiently and reduce time to market.

"We're excited to be working with Amazon to provide telecom operators a fully integrated, cloud-native service assurance solution for deploying and optimizing 5G, 4G and VoLTE services on the AWS cloud and Amazon Elastic Kubernetes Service (Amazon EKS) for on-premises implementations," said Hilik Itman, RADCOM's Chief Operating Officer. "Telecom operators will be able to use AWS Cloud, and Amazon Managed Kubernetes Services along with RADCOM ACE to simplify 5G rollouts and smartly manage network services more automatically."

RADCOM ACE provides end-to-end network coverage, dynamic slice management, and advanced Artificial Intelligence (AI)-based anomaly detection algorithms to quickly pinpoint and resolve network degradations. As a result, RADCOM believes its solution is uniquely positioned to help operators overcome the challenges of rolling out new 5G standalone networks. Running as a cloud-native function within the AWS cloud and leveraging a microservices-based architecture, RADCOM ACE is deployed, scaled, and managed through Amazon EKS.

Additionally, RADCOM ACE supports the Control and User Plane Separation (CUPS) architecture. Operators deploying 5G Next Generation Radio Access Network (NG-RAN) usually split the UPF function at the edge in addition to the split on the RAN side. As a result, it can benefit from elasticity, scalability, and cost-efficiency in OPEX and CAPEX. Due to its patented CUPS solution, RADCOM ACE enables operators to smartly monitor these edge deployments by correlating the control plane data in real-time, which is critical for gaining visibility into the subscriber experience and optimizing network performance. In addition, RADCOM ACE reduces Mean Time to Resolution. It provides a fully integrated Continuous Development/Continuous Integration pipeline for rapid product customizations and automated testing, so services are continually monitored 24/7/365 from the edge to the core.

Being controlled by Amazon EKS—a container-based orchestration system—provides operators with a closed-loop automated approach to assurance in the cloud for large-scale networks, thus enabling operators to deliver an improved customer experience while saving operational costs using minimal data center resources in implementing end-to-end automation.

RADCOM ACE employs patented load-balancing, packet-brokering technology for cloud environments, containerized probing for capturing and processing network packets, and real-time streaming analytics for capturing and processing network events and event detail records. By combining innovative cloud-native technologies, advanced 5G capabilities, and utilizing AI/Machine Learning (ML), RADCOM ACE provides operators with a dynamic, automated service assurance solution for deploying and optimizing 5G services on the AWS cloud and Amazon EKS for on-premises implementations.

Spotlight

Organizations are adopting hybrid cloud solutions more than ever before, and as a result, the IT challenges they face have become increasingly complex. Further increasing that complexity, organizations also have !o continually adapt !heir technology and processes to fulfill rapidly changing business demands, even as they maintai

Spotlight

Organizations are adopting hybrid cloud solutions more than ever before, and as a result, the IT challenges they face have become increasingly complex. Further increasing that complexity, organizations also have !o continually adapt !heir technology and processes to fulfill rapidly changing business demands, even as they maintai

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