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feat: add Grafana AI Observability video to V2 video hub
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@@ -5,22 +5,23 @@ Welcome to the **AI Agents and MCP** section of the V2 Video Hub. Explore curate
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## Table of Contents
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1. [Red Hat OpenShift](#red-hat-openshift)
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2. [Generative AI and Large Language Models](#generative-ai-and-large-language-models)
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3. [Grafana Assistant Claude Code Grafana MCP Server](#grafana-assistant-claude-code-grafana-mcp-server)
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2. [Grafana Assistant Claude Code Grafana MCP Server](#grafana-assistant-claude-code-grafana-mcp-server)
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3. [Generative AI and Large Language Models](#generative-ai-and-large-language-models)
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4. [Red Hat OpenShift AI](#red-hat-openshift-ai)
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5. [Claude Code](#claude-code)
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6. [Neural Networks](#neural-networks)
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7. [LLM Architecture and Post-Training](#llm-architecture-and-post-training)
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8. [Agentic DevOps](#agentic-devops)
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9. [DevOps AI Agents](#devops-ai-agents)
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10. [Android Gemini AI](#android-gemini-ai)
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11. [AI Agents Distributed ML Operations](#ai-agents-distributed-ml-operations)
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12. [MLOps AI Agents](#mlops-ai-agents)
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9. [AI Agents and Observability](#ai-agents-and-observability)
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10. [DevOps AI Agents](#devops-ai-agents)
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11. [SRE AI Agents](#sre-ai-agents)
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12. [AI Agents Distributed ML Operations](#ai-agents-distributed-ml-operations)
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13. [IAM AI Agents](#iam-ai-agents)
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14. [LLMs AI Agents MLOps](#llms-ai-agents-mlops)
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15. [Firebase Genkit Gemini AI Agents](#firebase-genkit-gemini-ai-agents)
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16. [SRE AI Agents](#sre-ai-agents)
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17. [Mobile Cloud Integration AI Agents](#mobile-cloud-integration-ai-agents)
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15. [MLOps AI Agents](#mlops-ai-agents)
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16. [Firebase Genkit Gemini AI Agents](#firebase-genkit-gemini-ai-agents)
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17. [Android Gemini AI](#android-gemini-ai)
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18. [Mobile Cloud Integration AI Agents](#mobile-cloud-integration-ai-agents)
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## Red Hat OpenShift
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@@ -34,18 +35,6 @@ Welcome to the **AI Agents and MCP** section of the V2 Video Hub. Explore curate
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</center>
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## Generative AI and Large Language Models
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??? note "🎬 Artificial Intelligence | 60 Minutes Full Episodes"
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!!! info "Architectural Summary"
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This documentary anthology traces the rapid evolution of artificial intelligence from early deep learning implementations to advanced generative AI systems like Google's Bard and OpenAI's ChatGPT. For 2026 cloud-native architectures, these developments highlight the critical need for integrating scalable AI model orchestration, strict ethical guardrails, and secure data pipelines directly into enterprise platform engineering. Understanding these socio-technical shifts assists cloud architects in designing resilient, compliant AI-integrated infrastructures that balance massive computational demands with robust operational governance.
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<center markdown="1">
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<iframe width="720" height="405" src="https://www.youtube.com/embed/aZ5EsdnpLMI?si=ESsNnVwE8IdWSiWZ" title="Artificial Intelligence | 60 Minutes Full Episodes" 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>
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</center>
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## Grafana Assistant Claude Code Grafana MCP Server
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??? note "🎬 I Stopped Staring at Dashboards. AI Reads My Grafana Metrics Now."
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@@ -58,6 +47,18 @@ Welcome to the **AI Agents and MCP** section of the V2 Video Hub. Explore curate
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||||
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||||
</center>
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||||
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## Generative AI and Large Language Models
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??? note "🎬 Artificial Intelligence | 60 Minutes Full Episodes"
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||||
!!! info "Architectural Summary"
|
||||
This documentary anthology traces the rapid evolution of artificial intelligence from early deep learning implementations to advanced generative AI systems like Google's Bard and OpenAI's ChatGPT. For 2026 cloud-native architectures, these developments highlight the critical need for integrating scalable AI model orchestration, strict ethical guardrails, and secure data pipelines directly into enterprise platform engineering. Understanding these socio-technical shifts assists cloud architects in designing resilient, compliant AI-integrated infrastructures that balance massive computational demands with robust operational governance.
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<center markdown="1">
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|
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<iframe width="720" height="405" src="https://www.youtube.com/embed/aZ5EsdnpLMI?si=ESsNnVwE8IdWSiWZ" title="Artificial Intelligence | 60 Minutes Full Episodes" 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>
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</center>
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## Red Hat OpenShift AI
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??? note "🎬 Red Hat OpenShift AI overview"
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@@ -118,15 +119,27 @@ Welcome to the **AI Agents and MCP** section of the V2 Video Hub. Explore curate
|
||||
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||||
</center>
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||||
|
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## DevOps AI Agents
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## AI Agents and Observability
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??? note "🎬 Agent-first workflows from prompt to production"
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??? note "🎬 AI Observability Deep Dive Demo | Grafana Cloud"
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!!! info "Architectural Summary"
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||||
This session outlines an end-to-end architectural workflow for transitioning from AI-agentic code generation directly to secure, production-grade deployments on Google Cloud. It demonstrates how developers can utilize IDE-integrated Gemini Code Assist agents, Cloud Run, and Cloud Build to build, containerize, and deploy AI-native applications without leaving their development environments. The presentation emphasizes securing the agentic software development lifecycle (SDLC) using enterprise-grade IAM, automated CI/CD, and policy-driven compliance.
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This deep-dive demonstration presents Grafana AI Observability, a specialized platform and database designed for monitoring agentic workflows, LLM usage, and AI Agent ecosystems. It outlines the instrumentation of AI agents using OpenTelemetry to capture vital performance metrics including execution costs, error rates, time-to-first-token, and tool latency. The session shows how online evaluations score agent outputs for helpfulness, safety, and hallucinations, enabling developers to conduct granular troubleshooting of failed agent runs. For 2026 platform engineers, these capabilities provide the necessary governance, cost tracking, and behavioral observability needed to operate production-grade agentic architectures.
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<center markdown="1">
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<iframe width="720" height="405" src="https://www.youtube.com/embed/QtXBAz6TU2g?list=PLOU2XLYxmsIKL_eEgkKJWDRhYUEvS9eYz" title="Agent-first workflows from prompt to production" 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>
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<iframe width="720" height="405" src="https://www.youtube.com/embed/MFai008Ze84" title="AI Observability Deep Dive Demo | Grafana Cloud" 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>
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</center>
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||||
## DevOps AI Agents
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??? note "🎬 Model Context Protocol (MCP) and AI Agents in DevOps"
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!!! info "Architectural Summary"
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||||
This architectural playlist details how Model Context Protocol (MCP) standardizes context and tool-calling interfaces for AI agents within modern cloud-native systems. It explores the practical integration of autonomous agents into DevOps, SRE, and API automation pipelines, replacing complex, manual scripts with intent-driven workflows. By utilizing secure and scalable MCP servers, platform teams can safely delegate infrastructure, database, and testing orchestration to context-aware AI systems.
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||||
<center markdown="1">
|
||||
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/videoseries?list=PLA6Ht2dJt3SId7vE9P5mppWdj65_l6hl7" title="Model Context Protocol (MCP) and AI Agents in DevOps" 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>
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||||
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||||
@@ -140,25 +153,25 @@ Welcome to the **AI Agents and MCP** section of the V2 Video Hub. Explore curate
|
||||
|
||||
</center>
|
||||
|
||||
??? note "🎬 Model Context Protocol (MCP) and AI Agents in DevOps"
|
||||
??? note "🎬 Agent-first workflows from prompt to production"
|
||||
!!! info "Architectural Summary"
|
||||
This architectural playlist details how Model Context Protocol (MCP) standardizes context and tool-calling interfaces for AI agents within modern cloud-native systems. It explores the practical integration of autonomous agents into DevOps, SRE, and API automation pipelines, replacing complex, manual scripts with intent-driven workflows. By utilizing secure and scalable MCP servers, platform teams can safely delegate infrastructure, database, and testing orchestration to context-aware AI systems.
|
||||
This session outlines an end-to-end architectural workflow for transitioning from AI-agentic code generation directly to secure, production-grade deployments on Google Cloud. It demonstrates how developers can utilize IDE-integrated Gemini Code Assist agents, Cloud Run, and Cloud Build to build, containerize, and deploy AI-native applications without leaving their development environments. The presentation emphasizes securing the agentic software development lifecycle (SDLC) using enterprise-grade IAM, automated CI/CD, and policy-driven compliance.
|
||||
|
||||
<center markdown="1">
|
||||
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/videoseries?list=PLA6Ht2dJt3SId7vE9P5mppWdj65_l6hl7" title="Model Context Protocol (MCP) and AI Agents in DevOps" 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>
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/QtXBAz6TU2g?list=PLOU2XLYxmsIKL_eEgkKJWDRhYUEvS9eYz" title="Agent-first workflows from prompt to production" 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>
|
||||
|
||||
## Android Gemini AI
|
||||
## SRE AI Agents
|
||||
|
||||
??? note "🎬 What's new in Android development tools"
|
||||
??? note "🎬 The Shift Podcast by Microsoft Azure—Agentic Edition"
|
||||
!!! info "Architectural Summary"
|
||||
This session outlines the latest developer tool advancements in Android Studio, highlighting Gemini AI integrations that accelerate mobile development workflows across modern Android APIs. It showcases how cloud-connected AI capabilities and intelligent tooling enhance developer velocity, which is critical for scaling cloud-native mobile applications and modern CI/CD pipelines.
|
||||
This technical podcast series details the evolution of cloud-native infrastructure required to support autonomous, context-aware AI agents in enterprise environments. It explores critical engineering paradigms such as multi-agent orchestration, context engineering over traditional RAG, unified data fabrics for governed access, and Postgres-centric vector storage. Additionally, it addresses the SRE and operations dimension by analyzing how agentic AI is reforming IT operations, cloud management, and security governance through defined agentic borders.
|
||||
|
||||
<center markdown="1">
|
||||
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/iyc69njNYOw?list=PLOU2XLYxmsIKL_eEgkKJWDRhYUEvS9eYz" title="What's new in Android development tools" 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>
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/videoseries?list=PLLasX02E8BPBCP7KdYsjKKFFQUmNEUmE9" title="The Shift Podcast by Microsoft Azure—Agentic Edition" 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>
|
||||
|
||||
@@ -174,38 +187,6 @@ Welcome to the **AI Agents and MCP** section of the V2 Video Hub. Explore curate
|
||||
|
||||
</center>
|
||||
|
||||
## MLOps AI Agents
|
||||
|
||||
??? note "🎬 ComfyUI + Google Models: A Creator-Friendly Agent Workflow"
|
||||
!!! info "Architectural Summary"
|
||||
This architectural overview highlights Google Cloud's integration of Gemini, Veo, and Imagen models with Avid and ComfyUI to deliver secure, agentic workflows for media production. The framework details how multimodal search and generative AI pipelines are orchestrated on Google Cloud compute infrastructure, streamlining video rendering, editing, and creative asset management.
|
||||
|
||||
<center markdown="1">
|
||||
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/ppMWxjsmk2k" title="ComfyUI + Google Models: A Creator-Friendly Agent Workflow" 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>
|
||||
|
||||
??? note "🎬 Inside image generation’s Renaissance moment — the OpenAI Podcast Ep. 19"
|
||||
!!! info "Architectural Summary"
|
||||
This episode details the architectural evolution of OpenAI's image generation capabilities to Images 2.0, focusing on the shift from single-turn prompting to multi-modal 'creative agents' integrated with code execution engines like Codex. It addresses the MLOps and infrastructure challenges of scaling real-time generative pipelines to 1.5 billion weekly requests while maintaining strict character consistency and prompt alignment. For 2026 Cloud Native topologies, this highlights the necessity of building low-latency, event-driven agent orchestration layers that seamlessly bind generative media models with stateful transactional systems.
|
||||
|
||||
<center markdown="1">
|
||||
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/bH2nP-aCFjk" title="Inside image generation’s Renaissance moment — the OpenAI Podcast Ep. 19" 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>
|
||||
|
||||
??? note "🎬 What's new in Google AI"
|
||||
!!! info "Architectural Summary"
|
||||
This presentation outlines Google's latest end-to-end AI stack from Google I/O 2026, focusing on deployment strategies for multimodal models, media generation, and intelligent agents. It details how to leverage Google's managed infrastructure and MLOps tools to tune, serve, and scale open-source models in cloud-native environments. Additionally, it introduces new 'vibe-coding' workflows and agentic capabilities designed to streamline next-generation AI application development.
|
||||
|
||||
<center markdown="1">
|
||||
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/SSe1VmVrtw0" title="What's new in Google AI" 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>
|
||||
|
||||
## IAM AI Agents
|
||||
|
||||
??? note "🎬 Your AI Agent Has No Identity, Here's Why That's Dangerous"
|
||||
@@ -230,6 +211,38 @@ Welcome to the **AI Agents and MCP** section of the V2 Video Hub. Explore curate
|
||||
|
||||
</center>
|
||||
|
||||
## MLOps AI Agents
|
||||
|
||||
??? note "🎬 What's new in Google AI"
|
||||
!!! info "Architectural Summary"
|
||||
This presentation outlines Google's latest end-to-end AI stack from Google I/O 2026, focusing on deployment strategies for multimodal models, media generation, and intelligent agents. It details how to leverage Google's managed infrastructure and MLOps tools to tune, serve, and scale open-source models in cloud-native environments. Additionally, it introduces new 'vibe-coding' workflows and agentic capabilities designed to streamline next-generation AI application development.
|
||||
|
||||
<center markdown="1">
|
||||
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/SSe1VmVrtw0" title="What's new in Google AI" 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>
|
||||
|
||||
??? note "🎬 Inside image generation’s Renaissance moment — the OpenAI Podcast Ep. 19"
|
||||
!!! info "Architectural Summary"
|
||||
This episode details the architectural evolution of OpenAI's image generation capabilities to Images 2.0, focusing on the shift from single-turn prompting to multi-modal 'creative agents' integrated with code execution engines like Codex. It addresses the MLOps and infrastructure challenges of scaling real-time generative pipelines to 1.5 billion weekly requests while maintaining strict character consistency and prompt alignment. For 2026 Cloud Native topologies, this highlights the necessity of building low-latency, event-driven agent orchestration layers that seamlessly bind generative media models with stateful transactional systems.
|
||||
|
||||
<center markdown="1">
|
||||
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/bH2nP-aCFjk" title="Inside image generation’s Renaissance moment — the OpenAI Podcast Ep. 19" 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>
|
||||
|
||||
??? note "🎬 ComfyUI + Google Models: A Creator-Friendly Agent Workflow"
|
||||
!!! info "Architectural Summary"
|
||||
This architectural overview highlights Google Cloud's integration of Gemini, Veo, and Imagen models with Avid and ComfyUI to deliver secure, agentic workflows for media production. The framework details how multimodal search and generative AI pipelines are orchestrated on Google Cloud compute infrastructure, streamlining video rendering, editing, and creative asset management.
|
||||
|
||||
<center markdown="1">
|
||||
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/ppMWxjsmk2k" title="ComfyUI + Google Models: A Creator-Friendly Agent Workflow" 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>
|
||||
|
||||
## Firebase Genkit Gemini AI Agents
|
||||
|
||||
??? note "🎬 Developer Keynote (Google I/O '24)"
|
||||
@@ -242,15 +255,15 @@ Welcome to the **AI Agents and MCP** section of the V2 Video Hub. Explore curate
|
||||
|
||||
</center>
|
||||
|
||||
## SRE AI Agents
|
||||
## Android Gemini AI
|
||||
|
||||
??? note "🎬 The Shift Podcast by Microsoft Azure—Agentic Edition"
|
||||
??? note "🎬 What's new in Android development tools"
|
||||
!!! info "Architectural Summary"
|
||||
This technical podcast series details the evolution of cloud-native infrastructure required to support autonomous, context-aware AI agents in enterprise environments. It explores critical engineering paradigms such as multi-agent orchestration, context engineering over traditional RAG, unified data fabrics for governed access, and Postgres-centric vector storage. Additionally, it addresses the SRE and operations dimension by analyzing how agentic AI is reforming IT operations, cloud management, and security governance through defined agentic borders.
|
||||
This session outlines the latest developer tool advancements in Android Studio, highlighting Gemini AI integrations that accelerate mobile development workflows across modern Android APIs. It showcases how cloud-connected AI capabilities and intelligent tooling enhance developer velocity, which is critical for scaling cloud-native mobile applications and modern CI/CD pipelines.
|
||||
|
||||
<center markdown="1">
|
||||
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/videoseries?list=PLLasX02E8BPBCP7KdYsjKKFFQUmNEUmE9" title="The Shift Podcast by Microsoft Azure—Agentic Edition" 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>
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/iyc69njNYOw?list=PLOU2XLYxmsIKL_eEgkKJWDRhYUEvS9eYz" title="What's new in Android development tools" 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>
|
||||
|
||||
|
||||
@@ -30,53 +30,13 @@ Welcome to the **Fundamentals** section of the V2 Video Hub. Explore curated hig
|
||||
|
||||
</center>
|
||||
|
||||
??? note "🎬 Kubernetes New Contributor Orientation for 2026-02-17"
|
||||
!!! info "Architectural Summary"
|
||||
This orientation session provides an architectural overview of the Kubernetes upstream community, detailing the organizational hierarchy of Special Interest Groups (SIGs) and Working Groups. It guides new contributors through the technical contribution pipeline, highlighting Git workflows, Prow-based automation for PR testing and labeling, and the governance frameworks that sustain the core platform. Understanding these mechanisms is crucial for cloud-native engineers aiming to effectively drive features and maintenance within the ecosystem's foundational orchestrator.
|
||||
|
||||
<center markdown="1">
|
||||
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/F3al0HP0MNo" title="Kubernetes New Contributor Orientation for 2026-02-17" 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>
|
||||
|
||||
??? note "🎬 Kubernetes New Contributor Orientation for 2026-03-17"
|
||||
!!! info "Architectural Summary"
|
||||
This onboarding guide details the governance, contribution lifecycle, and development workflows of the Kubernetes ecosystem, highlighting the role of Special Interest Groups (SIGs) and the Prow-based CI/CD automation pipeline. It offers essential technical instruction for configuring local development environments, interacting with community repositories, and adhering to testing standards required for upstream cloud-native contributions.
|
||||
|
||||
<center markdown="1">
|
||||
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/gkcZEXqkmZM" title="Kubernetes New Contributor Orientation for 2026-03-17" 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>
|
||||
|
||||
??? note "🎬 Kubernetes New Contributor Orientation"
|
||||
!!! info "Architectural Summary"
|
||||
This orientation session provides an essential entry point for developers looking to contribute to the Kubernetes ecosystem, detailing the organizational dynamics of Special Interest Groups (SIGs) and the architectural workflow of the project. It covers the technical mechanics of the Kubernetes contribution pipeline, including Git workflows, Prow-based automated testing, and the lifecycle of Kubernetes Enhancement Proposals (KEPs) to ensure high-quality, scalable code contributions.
|
||||
This onboarding session details the essential governance, codebase organization, and automated release mechanics of the Kubernetes project, guiding new engineers through Special Interest Groups (SIGs) and the Prow-based ChatOps CI/CD workflow. It delivers a structured pathway for landing code and documentation contributions, establishing the foundational open-source engineering practices required to maintain and scale modern cloud-native infrastructure.
|
||||
|
||||
<center markdown="1">
|
||||
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/B_8vYxurU4k" title="Kubernetes New Contributor Orientation" 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>
|
||||
|
||||
??? note "🎬 Kubernetes New Contributor Orientation"
|
||||
!!! info "Architectural Summary"
|
||||
This onboarding session outlines the governance framework of Kubernetes Special Interest Groups (SIGs) and the technical workflows required to contribute to the ecosystem. It provides critical guidance on navigating community repositories, leveraging automated testing infrastructure (Prow), and adhering to code review standards essential for scaling cloud-native contributions.
|
||||
|
||||
<center markdown="1">
|
||||
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/Frje5KfNrxE" title="Kubernetes New Contributor Orientation" 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>
|
||||
|
||||
??? note "🎬 Kubernetes New Contributor Orientation"
|
||||
!!! info "Architectural Summary"
|
||||
This orientation session provides a comprehensive guide for aspiring Kubernetes contributors, detailing the community's organizational structure across Special Interest Groups (SIGs) and Working Groups. It covers essential technical workflows, including GitHub PR submission pipelines, Prow-based automation testing, and the critical role of OWNERS files in codebase governance, establishing a clear pathway for developers to participate in cloud-native open-source development.
|
||||
|
||||
<center markdown="1">
|
||||
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/V3Sq0Fgy3ds" title="Kubernetes New Contributor Orientation" 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>
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/36aGHlsxlow" title="Kubernetes New Contributor Orientation" 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>
|
||||
|
||||
@@ -92,21 +52,51 @@ Welcome to the **Fundamentals** section of the V2 Video Hub. Explore curated hig
|
||||
|
||||
??? note "🎬 Kubernetes New Contributor Orientation"
|
||||
!!! info "Architectural Summary"
|
||||
This onboarding session guides developers through the foundational governance, structure, and technical workflows required to contribute to the Kubernetes ecosystem. It details the organizational architecture of Special Interest Groups (SIGs) and demystifies the GitHub-based development flow, highlighting automated CI/CD tooling like Prow for PR testing and triage. It provides a strategic entry point for engineers looking to influence and maintain core cloud-native orchestration systems.
|
||||
This orientation session provides an essential entry point for developers looking to contribute to the Kubernetes ecosystem, detailing the organizational dynamics of Special Interest Groups (SIGs) and the architectural workflow of the project. It covers the technical mechanics of the Kubernetes contribution pipeline, including Git workflows, Prow-based automated testing, and the lifecycle of Kubernetes Enhancement Proposals (KEPs) to ensure high-quality, scalable code contributions.
|
||||
|
||||
<center markdown="1">
|
||||
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/l2HpdgRFtN0" title="Kubernetes New Contributor Orientation" 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>
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/B_8vYxurU4k" title="Kubernetes New Contributor Orientation" 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>
|
||||
|
||||
??? note "🎬 Kubernetes New Contributor Orientation for 2026-02-17"
|
||||
!!! info "Architectural Summary"
|
||||
This orientation session provides an architectural overview of the Kubernetes upstream community, detailing the organizational hierarchy of Special Interest Groups (SIGs) and Working Groups. It guides new contributors through the technical contribution pipeline, highlighting Git workflows, Prow-based automation for PR testing and labeling, and the governance frameworks that sustain the core platform. Understanding these mechanisms is crucial for cloud-native engineers aiming to effectively drive features and maintenance within the ecosystem's foundational orchestrator.
|
||||
|
||||
<center markdown="1">
|
||||
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/F3al0HP0MNo" title="Kubernetes New Contributor Orientation for 2026-02-17" 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>
|
||||
|
||||
??? note "🎬 Kubernetes New Contributor Orientation"
|
||||
!!! info "Architectural Summary"
|
||||
This onboarding session details the essential governance, codebase organization, and automated release mechanics of the Kubernetes project, guiding new engineers through Special Interest Groups (SIGs) and the Prow-based ChatOps CI/CD workflow. It delivers a structured pathway for landing code and documentation contributions, establishing the foundational open-source engineering practices required to maintain and scale modern cloud-native infrastructure.
|
||||
This onboarding session outlines the governance framework of Kubernetes Special Interest Groups (SIGs) and the technical workflows required to contribute to the ecosystem. It provides critical guidance on navigating community repositories, leveraging automated testing infrastructure (Prow), and adhering to code review standards essential for scaling cloud-native contributions.
|
||||
|
||||
<center markdown="1">
|
||||
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/36aGHlsxlow" title="Kubernetes New Contributor Orientation" 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>
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/Frje5KfNrxE" title="Kubernetes New Contributor Orientation" 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>
|
||||
|
||||
??? note "🎬 Kubernetes New Contributor Orientation"
|
||||
!!! info "Architectural Summary"
|
||||
This orientation outlines the governance, SIG (Special Interest Group) structure, and contribution pipelines crucial for participating in the development of the Kubernetes ecosystem. It details the technical workflow of submitting contributions, including navigating the repository layout, adhering to OWNERS files guidelines, and leveraging Prow-based automated testing. Mastering these processes empowers cloud native architects in 2026 to successfully upstream optimizations, maintain enterprise forks, and directly influence upstream API standards.
|
||||
|
||||
<center markdown="1">
|
||||
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/J7R-T9Y1x3Y" title="Kubernetes New Contributor Orientation" 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>
|
||||
|
||||
??? note "🎬 Kubernetes New Contributor Orientation"
|
||||
!!! info "Architectural Summary"
|
||||
This orientation session provides a comprehensive guide for aspiring Kubernetes contributors, detailing the community's organizational structure across Special Interest Groups (SIGs) and Working Groups. It covers essential technical workflows, including GitHub PR submission pipelines, Prow-based automation testing, and the critical role of OWNERS files in codebase governance, establishing a clear pathway for developers to participate in cloud-native open-source development.
|
||||
|
||||
<center markdown="1">
|
||||
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/V3Sq0Fgy3ds" title="Kubernetes New Contributor Orientation" 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>
|
||||
|
||||
@@ -120,13 +110,23 @@ Welcome to the **Fundamentals** section of the V2 Video Hub. Explore curated hig
|
||||
|
||||
</center>
|
||||
|
||||
??? note "🎬 Kubernetes New Contributor Orientation"
|
||||
??? note "🎬 Kubernetes New Contributor Orientation for 2026-03-17"
|
||||
!!! info "Architectural Summary"
|
||||
This orientation outlines the governance, SIG (Special Interest Group) structure, and contribution pipelines crucial for participating in the development of the Kubernetes ecosystem. It details the technical workflow of submitting contributions, including navigating the repository layout, adhering to OWNERS files guidelines, and leveraging Prow-based automated testing. Mastering these processes empowers cloud native architects in 2026 to successfully upstream optimizations, maintain enterprise forks, and directly influence upstream API standards.
|
||||
This onboarding guide details the governance, contribution lifecycle, and development workflows of the Kubernetes ecosystem, highlighting the role of Special Interest Groups (SIGs) and the Prow-based CI/CD automation pipeline. It offers essential technical instruction for configuring local development environments, interacting with community repositories, and adhering to testing standards required for upstream cloud-native contributions.
|
||||
|
||||
<center markdown="1">
|
||||
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/J7R-T9Y1x3Y" title="Kubernetes New Contributor Orientation" 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>
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/gkcZEXqkmZM" title="Kubernetes New Contributor Orientation for 2026-03-17" 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>
|
||||
|
||||
??? note "🎬 Kubernetes New Contributor Orientation"
|
||||
!!! info "Architectural Summary"
|
||||
This onboarding session guides developers through the foundational governance, structure, and technical workflows required to contribute to the Kubernetes ecosystem. It details the organizational architecture of Special Interest Groups (SIGs) and demystifies the GitHub-based development flow, highlighting automated CI/CD tooling like Prow for PR testing and triage. It provides a strategic entry point for engineers looking to influence and maintain core cloud-native orchestration systems.
|
||||
|
||||
<center markdown="1">
|
||||
|
||||
<iframe width="720" height="405" src="https://www.youtube.com/embed/l2HpdgRFtN0" title="Kubernetes New Contributor Orientation" 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>
|
||||
|
||||
|
||||
Reference in New Issue
Block a user