Google SRE Book Second Edition: What Changed in 10 Years
Google's SRE book second edition is a full rewrite for AI and platform engineering. What changed in SLOs, observability and team models, and who should read it.
AWS, Azure, and Google Cloud All Built Agent Sandboxes — None the Same Way
Every major cloud now treats isolated code execution as a native primitive for AI agents, but AWS, Google Cloud, Azure, and Cloudflare picked four different isolation boundaries.
AWS, Google, and Microsoft All Agree the Session Is the New Unit of Compute. They Can't Agree on How to Isolate It.
All three major clouds have independently arrived at the same architectural conclusion: the AI agent session, not the container or the function invocation, is the fundamental unit of compute. Their isolation approaches couldn't be more different.
How Google SRE Is Using Agentic AI to Improve Operations
Google SRE deployed agentic AI across reliability design, anomaly detection, incident management, and autonomous mitigation — with governance principles for production-safe deployment.
Google TPU 8: Why the Agentic Era Required Two Chips Instead of One
Google split its TPU line for the first time at Cloud Next 2026: TPU 8t for training and TPU 8i for low-latency inference. The bifurcation signals that agentic workloads need fundamentally different silicon.
Google Cloud Next '26: Gemini's Enterprise Agent Platform Is Built Around Workspace Data
Google's Cloud Next '26 agent announcements — Agent Studio GA, Agent Simulation, Agent Registry, Marketplace, and MCP across GCP — converge on a single moat: the Google Workspace data graph.