AI workloads

Why Agentic AI Is Breaking Lakehouse-Only Data Platforms

Why Agentic AI Is Breaking Lakehouse-Only Data Platforms

SAP’s acquisition of Dremio is more than an M&A event. It exposes a fundamental mismatch between lakehouse-only query engines and the dynamic, parallel demands of agentic AI. ECI Research analyzes what the deal reveals about data platform architecture and what enterprises should evaluate before their next deployment.

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CloudBolt at FinOpsX 2026: Kubernetes AI Cost Management

CloudBolt at FinOpsX 2026: Kubernetes AI Cost Management

CloudBolt is sharpening its FinOps platform around Kubernetes AI workloads, adding GKE support, GPU right-sizing, and token cost attribution built on the FOCUS framework. The moves reflect a broader shift in FinOps from a finance discipline to an engineering one. ECI Research analysis explains what this means for ITDMs and platform teams managing AI infrastructure costs.

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Sovereign Kubernetes Gets Real at KubeCon EU 2026

Sovereign Kubernetes Gets Real at KubeCon EU 2026

At KubeCon EU 2026, Kubermatic’s Sebastian Scheele outlined why sovereignty, operational simplicity, and Kubernetes-based infrastructure control are becoming central to enterprise platform strategy. Backed by Swisscom’s sovereign cloud implementation, the message was clear: Kubernetes success now depends as much on operational credibility as on architecture.

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