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.
Learn how SquaredUp's Azure DevOps dashboards to see aggregate data across pipelines, releases and projects. You can also easily manipulate the data or combine it with data from other tools.
With SquaredUp's Azure dashboards, you can unlock the insights hiding in your Azure data by breaking down borders between accounts, regions, and tools.
Critical vulnerabilities are critical because they're easy to exploit — but most breaches don't even need them. Tony explains why phishing remains the dominant attack vector, why strong instrumentation matters for forensics (tracing an API call through a database to see exactly what was leaked), and how observability data becomes security data when something goes wrong. The system is harder to breach than the human. And that's the whole game.
Observability engineers will spend weeks tuning instrumentation. Security engineers? They want a collector installed and logs flowing — yesterday. And that's actually the magic of OpenTelemetry + Bindplane: from day one you're routing firewall logs, endpoint data, server logs straight into your SIEM with zero instrumentation lift. One toolchain. Two teams. No silos. Filmed at Google Cloud Next '26 — Las Vegas bindplane.com#OpenTelemetry.
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.