Tech Radar & Intelligence Watch — Page 3
Technology briefings, platform engineering updates, and AI infrastructure insights from Aperta Intelligence Lab.
Weekly Tech Radar Digest: Tekton PaC, GPU Dynamic Resource Allocation, KubeRay & Milvus ODF
Weekly intelligence briefing: Sigstore supply chain security, dynamic GPU slicing under Kubernetes, elastic Ray clusters, and high-availability ODF vector stores.
Multi-Cluster Networking: RHACM & Submariner for Hybrid AI and Distributed Serving
How to connect on-premise and cloud OpenShift clusters via direct L3/L4 WireGuard tunnels using RHACM and Submariner.
GitOps for LLMOps in 2026: Declarative LLM Deployment with OpenShift GitOps (ArgoCD), KServe, and vLLM
Comprehensive guide to implementing GitOps for enterprise AI models: declarative InferenceServices, LoRA adapter management, and canary rollouts on Red Hat OpenShift AI.
Enterprise LLM Governance in Production: TrustyAI & Guardrails on OpenShift AI
How to automate EU AI Act compliance, drift detection, and real-time inference guardrails using TrustyAI and KServe on Red Hat OpenShift AI.
Enterprise Sovereign RAG Architecture in 2026: Deploying Milvus, vLLM, and Guardrails on OpenShift AI
Architectural blueprint for building a secure, sovereign, and high-throughput enterprise RAG pipeline on Red Hat OpenShift AI with vLLM and Milvus.
Event-Driven Ansible (EDA): Closed-Loop Auto-Remediation on Kubernetes
How pairing Prometheus Alertmanager with Ansible Rulebooks automates node cordoning, pod draining, and worker reprovisioning without human intervention.
GPU Orchestration on Kubernetes in 2026: DRA, MIG, and Time-Slicing for LLM Serving
Comparative analysis of GPU allocation mechanisms on Kubernetes and OpenShift AI: Dynamic Resource Allocation (DRA), Multi-Instance GPU, and Time-Slicing.
GenAI Observability: Standardizing LLM Serving Telemetry with OpenTelemetry
How OpenTelemetry GenAI semantic conventions standardize TTFT, inter-token latency, and KV-cache monitoring across vLLM and KServe.
Becoming an AI Platform Engineer in 2026: The Definitive Guide (LLMOps, Talent Shortage & AS300)
Critical AI infrastructure talent shortage, production stack (RHOAI, vLLM), and industrial methodology to become an AI Platform Engineer in 2026.
Becoming a Platform Engineer in 2026: The Definitive Guide (Skills, Talent Shortage & AS200 Curriculum)
Market talent shortage, essential skills, and Red Hat certifications: how to become a Cloud Native Platform Engineer in 2026.