Operations | Monitoring | ITSM | DevOps | Cloud

How should IT leaders approach automation and AI? Where should they start, and how can they drive measurable results without getting caught up in the hype? In this episode of Agents of IT, Fran Fernandez and Zach Austin sit down with Chris Ellis, Senior Technology Solutions Specialist at RICOne, to discuss practical IT automation strategies, agentic AI, service desk transformation, and the journey toward autonomous operations.

Are your employees still waiting hours or days for IT issues to be resolved? Many organizations have invested heavily in ITSM platforms, self-service portals, and chatbots. Yet service desks continue to struggle with growing ticket volumes, rising costs, slow resolution times, and poor digital employee experiences. In this webinar, Resolve and Redington explore why traditional service management approaches often stop at ticket creation instead of ticket resolution, and how intelligent automation is helping enterprises move toward a Zero Ticket IT model.

What are the latest developments in Arm tooling on Ubuntu? In this talk, David explores Arm tooling to analyze and optimize workload performance, and how AI-assisted development using agentic AI and static analysis can accelerate porting and tuning applications for the Arm architecture. About David David Haikney is a Technical Product Director at Arm. He is responsible for Arm Performix, a free performance toolkit that helps developers understand and improve real-world performance on Arm architectures.

Discover how NVIDIA Earth-2 brings open source software and open science to weather and climate forecasting. Niall Robinson (NVIDIA) introduces a new way of making production-ready weather AI fully accessible for organizations to run, fine-tune, and deploy on their own infrastructure: NVIDIA Earth-2.

You shipped your AI app. But do you have all the answers? Do you actually know which model ran, how many tokens it consumed, or why it stopped? This is what LLM observability gives you, and most AI engineers are skipping it entirely. I built an SOS detection app and used OpenTelemetry to get full visibility into every single call. Token usage, model version, finish reason, and cost per call all in one place, standardised across any provider. Check out the OpenTelemetry GenAI docs in the link below; there is a lot more you can track than you think.

Your logs showed 500 errors. The traces showed the dependency graph. Neither showed the actual bug, a DEL control character getting appended to the query string. This is how I found it. In this video I walk through Speedscale BYOC (bring your own cloud): capture real production traffic, store it in your own Elasticsearch cluster inside your VPC, pull it down locally with a single script, and reproduce the exact bug using proxymock. The data never leaves your environment.

Lightrun's Gidi Freud demonstrates how your AI coding agent can now investigate and fix production errors, autonomously. Watch how Cursor, guided by Lightrun's Error Remediation skill, picks up a Sentry error, instruments the live service with a runtime snapshot, captures real evidence, and opens a validated PR for approval.

AI developer productivity, agentic workflows, and the lessons learned running engineering tools for 100,000+ software engineers at Google. John Montgomery, CCO at GitKraken, sits down with Asim Hussain, co-founder of Alterion AI and former Google VP of Engineering Productivity, to get real about what AI actually changes for engineering teams in 2025.

What used to take months now takes weeks, and it’s changing what it means to build great products. At Atlassian, product managers and designers are using Rovo and Jira Product Discovery to move faster at every stage of the development lifecycle. From running deep research across all their tools and documents, to capturing ideas, surfacing insights, and prioritizing what to build next. AI is transforming how product decisions get made.

This walk-through shows how Splunk's Cloud can discover schema and partition keys for Microsoft Azure Blob Storage datasets and create searchable Splunk managed tables. Once the data is mapped, analysts can use Splunk Federated Search to query Azure Blob data where it lives, bringing cloud-resident logs into security, observability, and operational work-flows without re-ingesting the data.