RFCs We Love: Networking with gNMI/gRPC Telemetry
- Dhruv Dhody
- 8 hours ago
- 2 min read
RFCsWeLove is an online meetup organized by the India Internet Engineering Society (IIESoc). The next RFCsWeLove meetup is on the 30th Oct 2025 (Thursday) at 20:30 PM IST.
Register: HERE
Agenda for Networking with gNMI/gRPC Telemetry
Modern networks are evolving into complex, distributed ecosystems where real-time visibility and automation are no longer optional—they are essential. Traditional monitoring approaches such as SNMP polling, CLI-based scraping, and vendor-proprietary tools have struggled with scale, latency, and standardization. These limitations have accelerated the industry shift toward streaming telemetry and open standards. This webinar introduces the gNMI (gRPC Network Management Interface), a standardized interface for network management built on gRPC, Google’s high-performance, open-source Remote Procedure Call framework. gRPC provides secure, efficient, and bidirectional streaming capabilities, making it ideal for high-frequency telemetry transport. The talk will discuss the four key gNMI operations:
Get – retrieve current state information.
Set – configure devices using structured models.
Subscribe – establish streaming telemetry for real-time updates.
Capabilities – discover supported features and models.
Together, these enable a consistent, vendor-neutral way to configure, monitor, and automate networks using OpenConfig YANG models. The session will contrast legacy monitoring with the advantages of gNMI/gRPC, showing how they enable:
Scalable, low-latency telemetry collection
Standardized, model-driven configuration
Real-time analytics for troubleshooting and assurance
Finally, I will connect this foundation to the future of AI in networking—demonstrating how gNMI data streams fuel predictive analytics, anomaly detection, and self-healing systems, moving the industry toward true self-driving networks.
This session will be presented by Sudhin Jacob. He is an IIESoc member. He is Passionate and accomplished network engineer specializing in NLP and AI/ML applications in service provider networks. Adept at designing and optimizing global network solutions using advanced analytics and leveraging natural language processing (NLP) techniques. Proficient in MPLS, LDP, RSVP TE solutions, L2circuit, EVPN MPLS solutions, multicast-NGN VPN, LFM, OAM, telemetry using Juniper Paragon Insight, and AI/ML models for self-driving networks. Experienced in developing predictive models using Markov chain and Holtz Winter, stochastic models for networks, and conducting Monte Carlo simulations. He is currently a Network Test Engineer at Google, and prior to this he has worked as a Network engineer at Juniper Networks and BSNL amongst others.
Find details about the previous meetup here.