Operations | Monitoring | ITSM | DevOps | Cloud

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.

Honeycomb and Embrace are extending the rigorous, data-driven practice that Honeycomb pioneered for foundational to mobile and web, giving, site reliability, and platform teams a complete, correlated picture of system health. The strategic partnership makes understanding performance and reliability for every user and every screen part of the observability practice, bringing new depth and standardization to how teams measure end user impact.

Leave the lock-in of VMware behind. Migrate legacy workloads to Kubernetes-native infrastructure with air-gapped security, GPU passthrough, and consistent Terraform APIs.