Operations | Monitoring | ITSM | DevOps | Cloud

With SRE AI, Google plans to fully adopt AI and agentic technologies, leveraging AI as a force multiplier while also maintaining control.

Originally published June 2024. Updated May 2026. A lot has changed since the first version of this guide. In May 2026, OpenTelemetry officially graduated within the CNCF, the highest maturity level a project can achieve. All three core signals (metrics, logs, and traces) are now stable across every major language SDK. Collector adoption has never been higher, and the ecosystem around it, particularly OpAMP for remote management, has matured significantly. This update walks through three things.

Builder in the Loop is a Mezmo interview series focused on the engineers, product leaders, and operators shaping AURA, an open-source, MCP-native agent harness for production operations. The goal is to get past the polished product layer and talk through the decisions that matter when AI starts interacting with real systems. Key questions include: What should agents be allowed to do? How do they get better over time? Where should humans stay in the loop?

It’s 20 minutes into a P0 incident, and you have already switched between four different tools, re-authenticated twice, and translated queries across three incompatible syntax languages. The root cause you are searching for. Well, that is still out there somewhere. The reality of investigative latency is that most engineering teams face navigation problems, not data problems. During high-pressure incidents, teams lose cognitive momentum due to context switching between disconnected telemetry silos.