Operations | Monitoring | ITSM | DevOps | Cloud

Still managing Joiner, Mover, Leaver workflows with tickets and manual handoffs? It’s time to automate them. In this fast-paced session, we show how enterprises use agentic AI and orchestration to eliminate repetitive JML tickets, enforce policy automatically, and deliver secure access from day one. Powered by Resolve’s Agentic Resolution Fabric, AI agents coordinate knowledge, automation, and technician assist to provision, modify, and revoke access without manual triage. Faster onboarding. Zero-delay changes. Audit-ready offboarding.

The Flare CLI connects to your Flare performance monitoring data and uses AI to turn it into actionable insights, right from your terminal. In this video, you'll see how a single command pulls your real performance data from Flare, then generates a full review: identifying slow endpoints, spotting error trends, and suggesting concrete fixes. Links.

Using the Flare CLI and its agent skill to find, fix, and resolve a production error without leaving the terminal. The AI agent looks up the latest error on freek.dev via the Flare CLI, analyzes the stack trace against the local source code, generates a fix, deploys it using bash mode, and marks the error as resolved in Flare. Learn more.

In this video, SolarWinds Evangelist Chrystal Taylor introduces server configuration comparisons, a new feature in Observability Self-Hosted 2026.1 and Server Configuration Monitor 2026.1. The key highlight is the ability to compare server configurations side by side, enabling users to identify differences in configuration files between nodes or against a defined ideal state. This new functionality aims to help users monitor configuration drift.

Discover why real-time, unsampled observability is critical for Kubernetes environments with Stephane Estevez from Splunk at KubeCon Europe 2026. Learn how Splunk’s unique approach helps you catch every important moment—even when containers vanish in milliseconds. Watch now for expert insights on cloud-native monitoring, observability, and Kubernetes best practices!

Why pay for continuous ingestion of data you rarely use? Learn how to maintain a lean data strategy by keeping long-term logs in cheap S3 storage, while retaining the power to "promote" specific slices into Splunk whenever an audit or investigation arises. See how Promote for Amazon S3 gives you the speed of local indexing without sacrificing speed in investigations.

In this video, Andreas Geltinger, IT service manager at IFCO, a leading global provider of reusable packaging solutions for fresh foods, explains how his organization modernized its IT service management by implementing ManageEngine ServiceDesk Plus Cloud Enterprise. Facing rapid growth and a legacy ticketing system that relied heavily on manual processes, the IT team required a scalable, cost-effective solution.

In this episode, Benedict Lelijveld joins us to unpack what it feels like to start a career in an era shaped by COVID disruption, hybrid work, and accelerating AI. We dig into his writing on Mustafa Suleyman and the idea of “pessimism aversion”: holding genuine hope for breakthroughs (from personal AI to advances in biology) while staying clear-eyed about risks like misuse, weak regulation, and who really benefits. Benedict also reflects on what early-career professionals lose when work becomes too remote—and why protecting your voice, curiosity, and craft matters more than ever as automation spreads.

Is your engineering team hitting the "Argo Ceiling"? Argo CD is incredible at syncing state, but as you scale past 20, 50, or 100 clusters, the maintenance tax skyrockets. In this webinar, we break down why the "hub and spoke" model of GitOps creates isolated silos, leading to "tab fatigue," massive security blast radiuses, and the need for thousands of lines of brittle CI "glue code" just to handle basic release orchestration.

In this demo, Kevin shows how you can use Honeybadger's MCP server with Claude to investigate a production incident — going from a natural language prompt to a complete incident dashboard in minutes. Honeybadger is an application health monitoring platform that helps developers catch errors, track performance, and stay on top of incidents. The MCP server lets AI assistants like Claude query your Honeybadger data directly, so you can investigate issues conversationally without digging through dashboards manually.