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feat: add Grafana AI Observability video to V2 Video Hub

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Nubenetes Bot
2026-05-28 20:23:02 +02:00
parent 7f648c95ee
commit 3166745123
2 changed files with 39 additions and 5 deletions
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data/inventory.yaml
+21
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@@ -308035,3 +308035,24 @@ https://www.youtube.com/@arsys:
order_v1: 133
order_v2: 14
addition_method: manual
https://www.youtube.com/embed/HI6KleJAZPY:
title: I Stopped Staring at Dashboards. AI Reads My Grafana Metrics Now.
ai_summary: This video explores how AI agents can read Grafana metrics, logs, and
traces directly using Grafana Assistant and Claude Code wired up to the Grafana
MCP server. It demonstrates querying Prometheus, Loki, and Tempo, generating custom
dashboards from natural language, and analyzing runtime data from the command
line. This workflow bridges the gap between analysis and remediation, allowing
agents to verify fixes and make data-grounded decisions.
category: Observability and Monitoring
technology: Grafana Assistant, Claude Code, Grafana MCP Server
description: Featured video in the Top Videos & Clips section.
health_score: 100.0
is_enriched: true
is_featured_video: true
last_checked: 0.0
stars: 0
status: online
v1_locations: []
video_order: 20
year: '2026'
addition_method: manual
v2-docs/videos/ai-agents.md
+18 -5
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@@ -6,11 +6,12 @@ Welcome to the **AI Agents and MCP** section of the V2 Video Hub. Explore curate
1. [Red Hat OpenShift](#red-hat-openshift)
2. [Generative AI and Large Language Models](#generative-ai-and-large-language-models)
3. [Red Hat OpenShift AI](#red-hat-openshift-ai)
4. [Claude Code](#claude-code)
5. [Neural Networks](#neural-networks)
6. [LLM Architecture and Post-Training](#llm-architecture-and-post-training)
7. [Agentic DevOps](#agentic-devops)
3. [Grafana Assistant Claude Code Grafana MCP Server](#grafana-assistant-claude-code-grafana-mcp-server)
4. [Red Hat OpenShift AI](#red-hat-openshift-ai)
5. [Claude Code](#claude-code)
6. [Neural Networks](#neural-networks)
7. [LLM Architecture and Post-Training](#llm-architecture-and-post-training)
8. [Agentic DevOps](#agentic-devops)
## Red Hat OpenShift
@@ -36,6 +37,18 @@ Welcome to the **AI Agents and MCP** section of the V2 Video Hub. Explore curate
</center>
## Grafana Assistant Claude Code Grafana MCP Server
??? note "🎬 I Stopped Staring at Dashboards. AI Reads My Grafana Metrics Now."
!!! info "Architectural Summary"
This video explores how AI agents can read Grafana metrics, logs, and traces directly using Grafana Assistant and Claude Code wired up to the Grafana MCP server. It demonstrates querying Prometheus, Loki, and Tempo, generating custom dashboards from natural language, and analyzing runtime data from the command line. This workflow bridges the gap between analysis and remediation, allowing agents to verify fixes and make data-grounded decisions.
<center markdown="1">
<iframe width="720" height="405" src="https://www.youtube.com/embed/HI6KleJAZPY" title="I Stopped Staring at Dashboards. AI Reads My Grafana Metrics Now." frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen loading="lazy" style="border: 1px solid var(--md-typeset-table-color); border-radius: 8px;"></iframe>
</center>
## Red Hat OpenShift AI
??? note "🎬 Red Hat OpenShift AI overview"