Kubernetes Observability and Agentic Ops with Elastic
Join the Elastic NYC User Group and Plural Kubernetes Developers on Tuesday, August 25th for an exciting meetup. We’ll feature a presentation from Michael Guarino (Plural) and Eric Mustin (Elastic) followed by networking, refreshments, and pizza with the New York City tech community. 📅 Date: Tuesday, August 25th from 6:00-8:00 PM 📍 Location: Elastic NYC Office 1250 Broadway, Floor 16, Training Room New York, NY 10001 🎤 Want to present at our next meetup? Are you interested in presenting your Elastic use case? We welcome 5-10 minute lightning talks, 45-minute deep dives, and everything in between. If you're interested, please send us an email at meetups@elastic.co. 📝Agenda: 6:00 pm: Doors open; say hi and eat some food 6:00 pm: Elasticsearch and Agentic Ops: A Perfect Match - Michael Guarino (Plural) 7:00 pm: Telemetry’s Long Way Home: A Kubernetes Odyssey with Prometheus, OpenTelemetry, and Elastic - Eric Mustin (Elastic) 7:30 - 8:00 pm: Networking and event wrap-up 💭 Talk Details: Telemetry’s Long Way Home: A Kubernetes Odyssey with Prometheus, OpenTelemetry, and Elastic Eric Mustin (Elastic) Like Odysseus trying to find his way home, Kubernetes telemetry must navigate a difficult journey through dynamic workloads, short-lived infrastructure, overlapping tools, dropped signals, and unexpected operational monsters. This talk explores how Prometheus, OpenTelemetry, and Elastic can work together to give Kubernetes metrics, logs, and traces a reliable path home. We’ll look at practical collection architectures, Prometheus-native metrics, OpenTelemetry processing and routing, and how Elastic can bring the resulting signals together. Along the way, we’ll discuss resiliency, duplication, architectural tradeoffs, and how to avoid getting lost at sea in an increasingly complex observability ecosystem. Elasticsearch and Agentic Ops: A Perfect Match - Michael Guarino (Plural) This talk discusses the ways we've used Elasticsearch at Plural to implement e2e agentic SRE workflows. Examples include using agents to manage your ES clusters themselves, to leveraging it as a low cost log storage engine for deep application root cause analysis, enabling you to reduce observability cost without sacrificing developer experience while maintaining realistic operational total cost of ownership.
