Monitoring operations, network equipment and LLMs


Details
Join us for presentations, snacks, and discussion! This time around we have a very diverse agenda of monitoring topics. We'll talk about how to monitor operations, get deep insights into networking equipment and how to monitor (and optimise) GPU workloads for LLMs (large language models)
Agenda:
6:00- 6:10 PM: Arrivals and introductions
6:10- 6:35 PM: Talk 1
6:35- 6:40 PM: Q&A
6:40- 7:05 PM: Talk 2
7:05- 7:10 PM: Q&A
7:10- 7:25 PM: Talk 3
7:25-7:30 PM: Networking and wrap up
Talk 1: Network equipment real-time Observability using Grafana - Mark Prosser (Nokia)
Learn how to observe your network equipment in real-time by using the Grafana OSS tools.
Mark Prosser A Network Operator Advocate and Automation Enthusiast.
Talk 2: Using grafana to monitor operational technology, Colin Wood (Grafana)
See how Grafana can be used to monitor and improve the performance of operational technologies in factories, warehouses, and mining.
Colin Wood is a Toronto area-based IT automation and cloud architect who helps organizations adopt highly scalable observability practices, infrastructure-as-code and secure access solutions. He has a keen interest in Grafana, Chef, Teleport and AWS, among other technologies. His passion is education via live demonstrations and conference presentations. Outside the tech world, Colin is a father and husband who enjoys spending time with family and friends.
Talk 3: Auto-instrumentation for LLM performance, Nikola Grcevski (Grafana)
Learn how to auto-instrument your LLM GPU workloads for observing GPU bottlenecks and how to drastically improve the inference latency and throughput. This will be a dry-run of the talk I'll be giving on this topic for SRECon EU 2025.
Nikola Grcevski has worked as a software engineer for more than 20 years, mostly in the field of compilers, managed runtimes and performance optimization. Most recently he's working on low level application instrumentation with eBPF at Grafana Labs.

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Monitoring operations, network equipment and LLMs