Platform Engineering

Compute and Agents Are Becoming the New Platform Layer (and CTOs Need an Operating Model for It)

AI is moving from model selection to compute-and-agents as the primary architectural and business constraint. CTOs are being pushed to treat AI infrastructure—chips, data centers, multicloud networking, and agent platforms—as a strategic system, not a commodity.

AI Agents Are Forcing a New DevOps Bargain: Resilience First, Observability Without the Bill Shock

CTOs are being pulled into a new operating model where AI (especially agents) accelerates change, while resilience and cost-aware observability become the gating factors for safely scaling that change.

Observability Is Turning into a Data Platform (and Cost Is Forcing the Consolidation)

Observability is shifting from a DevOps toolchain add-on to a consolidated, data-centric platform capability—driven by cost pressure, M&A, and the operational complexity introduced by AI and multicloud

The AI Operations Stack Is Forming: Agents + Evaluation + Observability (and Why CTOs Should Standardize Now)

The center of gravity is moving from building AI features to operating AI systems: agent frameworks, evaluation metrics, and observability are converging into an ‘AI operations stack’ that CTOs must standardize now.

From Models to Managed Agents: Responsible AI Enters the Architecture Playbook

AI is being operationalized as a first-class production workload: governance is moving into architecture frameworks, companies are building internal agent execution platforms, and engineering orgs ...

Mid Week Summary: Navigating Leadership in a Transforming Tech Landscape