KECKL's Feed March Issue | Rethinking Infrastructure for the AI Era

As AI technology spreads rapidly, the infrastructure enterprises must prepare is also changing along with it. This KECKL's Feed March issue brings together the key challenges of the AI era in a single flow, from cloud-native networking to public-sector AX, service continuity, and AI governance.

First, starting from Calico CNI, which handles networking for kt cloud Managed KS, the issue compares Calico—which supports eBPF mode—with another leading eBPF-based CNI, Cilium. Rather than a simple conceptual introduction, it examines performance, architecture, operational approach, and suitability for deployment together to see which choice fits better.

In the public sector, the issue looks at why AI transformation (AX) is not spreading as fast as expected. The core of the problem lies not in the technology itself but in structural constraints such as data, organization, and infrastructure, and as these efforts expand into actual administrative services, infrastructure must be designed on the premise of service continuity that never stops, going beyond mere incident response.

To achieve this, a cloud-native environment, a disaster recovery (DR) system, and resilience strategies such as backup, Multi-Region, and HA become important. In addition, including power backup at data centers, the issue lays out an infrastructure strategy that sustains service continuity in the AI era.

On the regulatory and governance side, the issue covers the EU AI Act. As its core obligations come into full effect from August 2026, it is interpreted not merely as a regulatory checklist but as a case that shows what AI operating standards and accountability frameworks enterprises will need to establish going forward.

The issue also presents trends in the AI industry.

• AI Inference: A shift from model training-centric approaches to inference-centric approaches focused on actual service operation
• Agentic AI: Expansion beyond simple responses to agents that judge and act on their own
• AI Factory & Infrastructure: As AI evolves into a data center-based production system, infrastructure competitiveness emerges as the key factor

In the end, the message this issue delivers is clear. To apply AI to real services and businesses, companies must look not only at the models but also redesign the networking, resilience, power, and governance that support them.