The New Stack: AI jobs are waiting while GPUs sit idle. Kubernetes has a new plan.
The New Stack's Road to KubeCon column covers several Kubernetes topics: a HPE blog post on an open-source tool that gathers pod-restart diagnostics to Slack, an AWS post on scheduler and autoscaler friction for GPUs, and the llm-d v1.0 release. It also reports that in one benchmark by Skyhook's Radar, Claude Code given read-only MCP context diagnosed 50 injected faults faster than with shell and kubectl access, reaching a correct diagnosis within two minutes on 86% of faults versus 60%. Splunk's State of Observability 2026 survey of 2,050 professionals reports that over half cannot effectively measure AI quality or control AI costs.
What changes for platform teams
Platform teams evaluating AI troubleshooting agents may find that read-only MCP context improved speed in one author's benchmark, though the benchmark is a single small test by its author. The Splunk survey is vendor-commissioned, so its figures should be treated as indicative rather than verified.
Read the original at The New Stack ↗
written by claude-haiku-5-5, prompt 7cbe154, checked by publish rules