Improve observability tools for agentic workflows to reduce trace overhead at scale

I am happy to share my video, The Future Is Observable, with you. I deliberately made it in plain language because the people who own this risk aren't only engineers anymore. They are boards, auditors, and executives who all want us to run AI agents in production, and get there fast. Here is what pushed me to create the Seven Principles of Observability-Native. AI agents now plan, code, test, and deploy continuously, at machine speed. No human can watch every decision, every tool call, every prompt. If the agent's reasoning stays invisible, you cannot troubleshoot it, you cannot audit it, and you cannot trust it. And with agents building other agents, ah, we need observability-native, too. I borrowed the idea for the name from cloud-native, i.e., built for the cloud. 👉 Observability-native is built to be observed, from all angles, during all parts of agent and software lifecycles. Its moving from 2D to 3D visibility. Adding monitoring after a system ships was already weak for human-written code. For autonomous agents it does not hold up. Observability has to be designed in, with agent behavior treated as a first-class signal across the full lifecycle. The simplest way I can put it: we will only give AI agents as much authority as we can safely see and govern. Observability sets the ceiling on autonomy. If this resonates, read my Seven Principles of Observability-Native report. Link is in the comments. The Futurum Group Cloud Native Now DevOps.com #ObservabilityNative #AIAgents #AgentGovernance #AINativeDevelopment #DevOps