Observability AI and Automation
A critical objective of many network transformation projects is enable automation to offset the time-consuming and costly manpower requirements to manage scalable, distributed networks and to achieve more cloud-like efficiencies. While the separation of functions found in most virtualized, NFV or cloud-native environments could initially multiply the complexity of managing services, they also promise unprecedented ability to streamline and automate management and maintenance functions through the use of telemetry, closed loop processes and increasingly AI techniques.
Analytics
Observability - Network Telemetry Reporting Solution Brief
Last Updated: May 02, 2023
This document introduces Intel® Platform Telemetry Insights reports and shows how they can be used effectively in an automated environment to influence network behavior...
Closed Loop Automation
Closed Loop Automation - Telemetry Aware Scheduler for Service Healing and Platform Resilience Demo
Last Updated: September 07, 2022
Power Management
Intel® Deep Learning Boost (Intel® DL Boost) - Improve Inference Performance of Hugging Face BERT Base Model in Google Cloud Platform (GCP) Technology Guide
Last Updated: April 19, 2023
BERT is the best model to detect malicious and phishing websites/emails attacks as it provides very high accuracy...
Intel® Deep Learning Boost - Improve Inference Performance of BERT Base Model from Hugging Face for Network Security Technology Guide
Last Updated: January 10, 2023
PyTorch* is one of the widely used deep-learning frameworks...
TADK
AI Technologies – Unleash AI Innovation in Network Applications Solution Brief
Last Updated: November 18, 2021
This solution guide highlights key technologies and their role in realizing real-time AI-driven innovations within networking solutions while staying within the compute budget of the Intel® Xeon® Scalable processors...
Telemetry
Ensure platform and container metrics and events are accessible though industry standard interfaces to allow capacity planning, trending and operational status.
Observability - Network Telemetry Reporting Solution Brief
Last Updated: May 02, 2023
This document introduces Intel® Platform Telemetry Insights reports and shows how they can be used effectively in an automated environment to influence network behavior...
Telemetry Aware Scheduler - Enhancement Utilization with Platform Aware Scheduling Technology Guide
Last Updated: October 18, 2022
This document describes Platform Aware Scheduling (PAS), which is a paradigm that restructures the existing Telemetry Aware Scheduler (TAS) project to be a more generic model that allows various Intel Kubernetes scheduler extenders to be hosted...
Telemetry Aware Scheduling - Automated Workload Optimization with Kubernetes* (K8s*) Training Video
Last Updated: September 07, 2022
Closed Loop Automation - Telemetry Aware Scheduler for Service Healing and Platform Resilience Demo
Last Updated: September 07, 2022
