Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

RADCOM Empowers Operators with Full Assurance Lifecycle Management to Drive Automation on AWS

RADCOM Ltd. announced it has successfully completed the interoperability of RADCOM ACE to run on Amazon Web Services (AWS). The integration helps provide end-to-end assurance lifecycle management (LCM) and AI-driven analytics on the cloud with AWS to drive closed-loop network operations and zero-touch management.

This assurance automation allows telecom operators to react quickly to changes in the network and manage their networks faster and easier, with dynamic assurance and operational agility for 5G deployments using AWS orchestration and automation services to ensure the delivery of top-quality 5G and edge services on the cloud with AWS.

Recommended AI: SAS Joins CESMII to Accelerate the Adoption of Analytics and AI

“The success of 5G rollouts centers on the ability to roll out new, quality services at a faster pace, larger scale, and automatically,” said Hilik Itman, RADCOM’s Chief Operating Officer. “To enable this agility, operators need to automate assurance powered by AWS and its robust set of automation and Continuous Integration/ Continuous Deployment (CI/CD) workflows and tools to manage network operations more automatically and effectively. Driving business value and supporting growth through cloud adoption and the 5G transformation will also benefit telecom operators deploying custom-built private networks as RADCOM ACE helps ensure SLAs and rapidly troubleshoot performance degradations.”

Through automation, RADCOM ACE can be scaled in and out as needed, making it cloud resource efficient. Using AWS services like AWS CodeDeploy and Amazon Elastic Container Service (Amazon ECS), operators can automate their network operations and assurance to manage their network more efficiently in real-time, with high reliability, operating more cost-effectively, and reacting quickly as the network evolves while monitoring service quality and performance 24/7.

Related Posts
1 of 40,616

Recommended AI: Millennium Physician Group and Navina Release Value-Based Results of Technology Implementation

AWS CodeDeploy instantiates all the assurance components and scales the RADCOM ACE front end. So, if network traffic increases, AWS CodeDeploy can automatically scale the solution to cover the increased traffic using Amazon Elastic Kubernetes Service (Amazon EKS). All this interoperability saves CAPEX and OPEX with RADCOM ACE sharing cloud resources and being able to scale in and out when needed. In addition, the solution uses Amazon Virtual Private Cloud (Amazon VPC) traffic to mirror traffic that simplifies network operations, enhances security, and increases monitoring options.

Also, RADCOM ACE uses Amazon ECS as its CI/CD pipeline registry. Each new update, development, and issue resolution results in automatic testing and verification stages to achieve ongoing stability and quality. RADCOM ACE is then deployed onto Amazon EKS clusters using chart tools. This ensures that operators can rapidly customize and update their assurance solution without downtime and continue to automate their whole network operational stack from the cloud and services to end-to-end, AI-driven assurance. It provides a closed-loop approach to network operations for large-scale networks.

Recommended AI: Stability AI Partners With Krikey AI to Launch AI Animation Tools

[To share your insights with us, please write to sghosh@martechseries.com]

Comments are closed.