AI Briefing
KT Cloud news
The latest AI and developer news from KT Cloud, with short summaries.
Visit website →[kt cloud summit 2026] Pre-registration has begun
kt cloud is holding 'kt cloud summit 2026' under the theme of AX (AI Transformation) execution and business expansion, and has opened pre-registration.
Seatbelts for AI Agents, Harness Engineering: The Claude Code and Terraform Case
This introduces a harness engineering methodology for managing uncontrollability while maximizing the productivity of AI agents.
Keccal's Feed June Issue | Why Infrastructure Operations Capability Matters More in the AI Era
The core of AI business is shifting beyond adoption toward stable operations and infrastructure foundations.
Where Technology Becomes a Genre, kt cloud: Kekeler Interview Series #3 — Helping Developers Focus on the Essentials: The kt cloud Platform Engineering Story
kt cloud is building a Self-Service-based platform engineering system so that developers can focus on service logic instead of infrastructure setup.
[Case Study] Building an In-House Personal Development Environment Image, Part 1: Creating an OpenStack Sandbox Updated via git push
Using GitOps, we built a personal OpenStack sandbox image that automatically reflects changes made in Git.
[Trend Report] 2026 First-Half Trend Wrap-up: From AI Adoption to Infrastructure Transformation
In the first half of 2026, the industry's key focus is the transformation of data center infrastructure and shifts in cloud strategy to accommodate AI workloads.
kt cloud Webinar: Cloud for Uninterrupted Operations
kt cloud will host an online seminar on high availability (HA) and DR configuration strategies.
[Insight] After Prompt and Context Engineering Comes Harness Engineering: Designing the AI Agent's Environment
As AI agents move beyond simple answers to actually performing tasks, harness engineering, which designs the execution environment, is growing in importance.
Guide to Maintaining Fault-Tolerant GPU Clusters Based on Kubernetes
It covers strategies for stable operation and failure response in Kubernetes-based GPU clusters for large-scale AI workloads.
Security Enhancement Strategy through Git Secret Management and Vault Adoption
This covers a Vault adoption strategy to solve the plaintext exposure in Git and the security vulnerabilities of Kubernetes Secret objects.
[AI Infrastructure] Understanding Data Center Power Cables, the Invisible Blood Vessels of the AI Era
As power density in AI data centers surges, the importance of power cables for stable power supply is growing.
[Design Guide] Terraform Module Design Will Always Collapse Without Principles
For stable infrastructure operations, Terraform module design principles considering encapsulation, privilege boundaries, and volatility must be applied.
[AI Infrastructure] The Era of 50,000 GPUs: Success Conditions for AI Infrastructure Businesses
For AI infrastructure businesses to succeed, full-stack optimization capability across GPU, network, and storage is essential.
Keckle's Feed May Issue | Core Architecture for Building Stable Cloud
kt cloud introduces core technologies for cloud stability, including Multi-AZ-based redundancy and AI development environment optimization.
Where Technology Becomes a Genre, kt cloud: Kechler Interview Series #2 — The Engineering Behind 'Multi-AZ' That Keeps Services Running Even During Outages
kt cloud designs and implements a Multi-AZ architecture to guarantee service continuity even when failures occur.
[Tech Analysis] Kubernetes Ingress API Deprecation and Gateway API Analysis
Following the deprecation of Kubernetes Ingress NGINX support, adoption of the next-generation standard Gateway API is recommended.
What Makes AI Data Centers (AIDC) Different: GPU Power and Operational Transformation
AI data centers must transform their operations to handle synchronized GPU power spikes and high-density heat generation.
[Backup/DR] kt cloud Disaster Recovery Design: Multi-AZ and Multi-Region
kt cloud explained Multi-AZ as the basic availability structure and Multi-Region as the DR strategy.
From Code to Muscle: Physical AI and Data Center Infrastructure
Physical AI and humanoids are changing how high-density AIDC facilities operate.
From AI Portal to Security Monitoring, kt cloud's 3 Cases of Internalizing AI
kt cloud has revealed the structure and outcomes of three cases: AI Portal, security monitoring, and incident monitoring.