Operations | Monitoring | ITSM | DevOps | Cloud

Deployments that need multiple reboots shouldn't need a technician hovering over them the whole time. But for most teams, that's exactly what happens — you kick off a job, walk away, and come back to find it stalled halfway through waiting for something nobody handled. Product Manager, Dan Myers, joins this stream to show how these new updates changes enterprise-scale provisioning and deep OS deployments, making your automation smarter than ever before. What you'll learn.

As organizations work to bring humans, agents, and automation together, teamwork is getting even more complex. If your AI strategy feels like a collection of one-off experiments layered onto disconnected tools and siloed knowledge, join Atlassian leaders to see how Teamwork Collection brings together Jira, Confluence, Loom, and Rovo into a connected foundation for human-AI collaboration at scale.

Join this 5-part series designed to help IT teams move from reactive, fragmented processes to a more structured, connected way of working. Each session focuses on a core area, from incident resolution and CMDB visibility to employee experience, service catalog design, and change governance, giving you practical frameworks you can apply right away. You’ll walk away with: Faster, more consistent incident resolution.

In this week’s Zero Ticket Minute: everyone is building AI agents, but no one is coordinating them. More agents = more chaos. The shift is to connect signal to resolution. That’s how you reduce tickets.

Relying on AI and interns to build custom traffic replay tools is a scalability nightmare that introduces security risks, brittle code, and massive maintenance costs...use Speedscale instead. Learn more: speedscale.com.

Last year, we went fully agent-based at Rootly. Cursor, Claude Code, Codex, all of it. The productivity gains were real. However, Rigel, senior engineering manager at Rootly, started noticing a pattern emerging in his team.

If you're building agents trying to figure out the best way to actually make them successful in production, you're going to want to know about headless observability. Headless observability means an agent can access information about the health of your system through a CLI instead of clicking around dashboards. It's the data layer that going to unlock serious autonomy and allow you to scale with agentic workloads.

OR visit: speedscale.com.

Honeycomb has shipped a production integration with Amazon Bedrock AgentCore, surfacing agent telemetry directly in Agent Timeline, Honeycomb's trace view for behavior. It's available now and built on.

Watch a full replay of all sessions on Day 3 of Honeycomb's Innovation Week.