The advent of NFV, hybrid clouds, Kubernetes, SDN and ultimately 5G has brought with it tremendous change in how the datacenter is perceived in the telecommunications industry, redefining complete chapters regarding operations, provisioning and assurance. 

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With the associated increase in complexity and layers of abstraction, the need for modern, intent-based datacenter automation is now stronger than ever. Assurance in particular requires use case-specific adaptation and bespoke integration between the various systems present in the operator's environment, which can prove challenging from an automation perspective.

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With its low-code automation platform built around the patented rule engine, Waylay enables subject matter experts to visually translate assurance use cases into flexible automation rules, significantly reducing the time required to build and manage an end-to-end solution. 

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Software connectors allow the Waylay platform to retrieve time series data from any provider, ranging from the PM / FM information exposed by an SDN controller or an NFVO, to the Prometheus KPIs associated with a containerized 5G network function. Used as smart rule objects, they make everything from on the fly data transformation to calling external systems in the OSS and BSS domain a breeze, slashing the high integration costs traditionally associated with these domains.

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The Bring Your Own Machine Learning (BYOML) capabilities of Waylay treat AI/ML models as 1st class rule citizens, enabling advanced pattern recognition and anomaly detection on time series data, for a wide range of use cases applicable to datacenter SDN or 5G management and orchestration domains. All of it in near real-time thanks to the platform's support for serverless functions. 

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But don't just take our word for it. Below is the example of a Waylay rule that implements the 5G data radio bearer accessibility monitoring in a 3GPP Release 16 network slice. It's really that simple!

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