In 2021, Cloudify introduced the Agile-First approach to 5G network orchestration, creating a bridge between the Telco and DevOps worlds. In those previous POCs, Cloudify proved to be a platform built to support agile service delivery and multiple interfaces that allow multi-vendor flexible solution integration. Today, Cloudify takes the next step to provide a vendor-agnostic solution in 5G and the public cloud.

In this blog, we describe how Cloudify, AWS, Intel, Proto, and Mavenir orchestrate the deployment of 5G core network as well as deploying applications that utilize these 5G services. At MWC 2022, we showcased the intend-based orchestration demonstrating that SLA based KPI can be used to place a workload anywhere in the cloud continuum, using AWS EKS for workload in Region, LocalZone, and Outposts.

The following blog was written together with Petar Torre, Solutions Architect at Intel. This blog describes how Cloudify automates the deployment and monitoring of Machine Learning systems, by orchestrating an Intel-optimized TensorFlow workload running inference with a pre-trained ResNet-50 model from the Intel Model Zoo. In a nutshell, a container running a Jupyter Notebook with the Intel optimized TensorFlow model is scheduled as a Kubernetes pod on K3S on AWS EC2.