Vishwanath Hiremath

Title of the Talk:
Telemetry-Driven Network Analytics: Engineering Real-Time Intelligence Pipelines for Predictive Infrastructure Management

Abstract:
The exponential growth of network telemetry data presents both a challenge and an opportunity for engineering organizations seeking predictive infrastructure management. This talk examines the architecture and engineering of real-time analytics pipelines that ingest streaming telemetry from BGP, gRPC, and SNMP sources across hybrid network fabrics. The speaker presents a data management framework that integrates time-series databases, anomaly detection algorithms, and causal inference models to predict network degradation events before service impact. Case studies from enterprise data center deployments illustrate how operationalizing telemetry analytics reduces mean-time-to-detect (MTTD) by over 60%. The session bridges engineering data management principles with AI-driven observability, offering a practical roadmap for transitioning from reactive to predictive network operations.

Bio:
Vishwanath Hiremath is a Principal Sustem/Software Engineer at Hewlett Packard Enterprise with over 25 years of experience in enterprise networking across Cisco Systems, Juniper Networks, and HPE. His expertise spans SD-WAN, EVPN-VXLAN, AI-driven network automation, multi-cloud networking, and cybersecurity. He holds multivendor and Cloud Professional/Expert Network Engineer certifications, and is an IEEE Senior Member and Distinguished Fellow of the Soft Computing Research Society. Fellow of IETE. He has authored multiple Scopus-indexed publications, holds patents in network segmentation and automation, and has delivered keynotes and invited talks at international IEEE and industry conferences across Asia, Europe, and the Americas.