diff --git a/CHANGELOG.md b/CHANGELOG.md index 6abdabca..8cac5866 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,6 +5,16 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). +## [[2.0.4]](https://github.com/nubenetes/awesome-kubernetes/releases/tag/v2.0.4) - 2026-05-25 + +### Added +- **Claude Code Integration**: Added the "Mastering Claude Code" technical session to the V2 Elite Video Hub with a high-density summary of agentic CLI operations and MCP integration. +- **Hosted Control Planes (HyperShift)**: Integrated the GitOps Guide to the Galaxy session on HCP/HyperShift to provide architectural depth on multi-tenant Kubernetes control planes. + +### Fixed +- **Video Metadata Accuracy**: Corrected a significant metadata mismatch where the GitOps Guide to the Galaxy playlist was mislabeled as "Kubernetes: The Documentary". +- **Inventory Precision**: Synchronized `data/inventory.yaml` with corrected video identities and professional summaries. + ## [[2.0.3]](https://github.com/nubenetes/awesome-kubernetes/releases/tag/v2.0.3) - 2026-05-25 ### Changed diff --git a/data/inventory.yaml b/data/inventory.yaml index a87fc78c..0e40b21b 100644 --- a/data/inventory.yaml +++ b/data/inventory.yaml @@ -282118,12 +282118,9 @@ https://www.youtube.com/embed/videoseries?si=fJvBV63-mjQ6S-Ht&list=PL7sEPiUb video_order: 26 year: N/A https://www.youtube.com/embed/videoseries?si=zdATyq_E2wXN7AC6&list=PLbMP1JcGBmSGKO8UreWpOBOhCqilejhtd: - ai_summary: This video series explores the architectural origins of Kubernetes, - detailing its transition from Google's centralized Borg system to an open, extensible, - and API-driven control plane. Understanding these foundational distributed systems - patterns is crucial for platform engineers in 2026 to effectively design resilient, - multi-cluster orchestration strategies. - category: Fundamentals and Documentaries + ai_summary: | + Every other Thursday at 3pm ET hosts Hilliary Lipsig and Jonathan Rickard dive into everything in the GitOps universe, from solutions to common problems in end-to-end CICD pipelines, to creating Git workflows. This series explores how GitOps enhances modern application delivery and discusses the latest news around best practices and Cloud Native architecture. + category: Architecture and Cloud Strategy description: Featured video in the Top Videos & Clips section. health_score: 100.0 is_enriched: true @@ -282131,11 +282128,43 @@ https://www.youtube.com/embed/videoseries?si=zdATyq_E2wXN7AC6&list=PLbMP1JcG last_checked: 0.0 stars: 0 status: online - technology: Kubernetes - title: 'Kubernetes: The Documentary' + technology: GitOps + title: 'GitOps Guide to the Galaxy' v1_locations: [] video_order: 23 year: N/A +https://www.youtube.com/embed/LiSb82Lug7M: + ai_summary: | + This session from the GitOps Guide to the Galaxy deconstructs the architecture of Hosted Control Planes (HCP), also known as HyperShift. It explores how HCP decouples the Kubernetes control plane from worker nodes, hosting it as a scalable workload on a management cluster to drastically reduce operational overhead, improve provisioning speed, and optimize resource utilization. For 2026 platform engineering, mastering this pattern is essential for managing large-scale, multi-tenant Kubernetes fleets with high-density efficiency and strong isolation. + category: Architecture and Cloud Strategy + 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 + technology: Hosted Control Planes + title: 'GitOps Guide to the Galaxy: Hosted Control Planes (HyperShift)' + v1_locations: [] + video_order: 24 + year: N/A +https://www.youtube.com/embed/6eBSHbLKuN0: + ai_summary: | + This technical session explores the architecture and implementation of Claude Code, Anthropic's agentic CLI designed for autonomous, multi-step engineering tasks. It details how the tool leverages the Model Context Protocol (MCP) to integrate with external data sources and documentation, enabling a self-healing development cycle where the agent autonomously reads code, executes shell commands, and iterates through test-driven development (TDD) loops. For 2026 platform engineers, mastering these agentic workflows is critical for scaling complex refactoring, managing cognitive load in large-scale repositories, and establishing robust human-in-the-loop (HITL) governance for AI-driven infrastructure operations. + category: AI and Future Operations + 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 + technology: Claude Code + title: Mastering Claude Code in 30 minutes + v1_locations: [] + video_order: 25 + year: N/A https://www.youtube.com/kubernetescommunity: content_hash: 5654ed1b031bb525606fadef419e20044ee5e80a0915535c7ae4e75f0c909d9d health_score: 100.0 diff --git a/v2-docs/videos.md b/v2-docs/videos.md index 24df84ad..7ccc2683 100644 --- a/v2-docs/videos.md +++ b/v2-docs/videos.md @@ -42,6 +42,16 @@ Welcome to the **Agentic Video Hub**. This section presents a logical, architect +??? note "🎬 Mastering Claude Code in 30 minutes | `Claude Code & Agentic CLI`" + !!! info "Architectural Summary" + This technical session explores the architecture and implementation of Claude Code, Anthropic's agentic CLI designed for autonomous, multi-step engineering tasks. It details how the tool leverages the Model Context Protocol (MCP) to integrate with external data sources and documentation, enabling a self-healing development cycle where the agent autonomously reads code, executes shell commands, and iterates through test-driven development (TDD) loops. For 2026 platform engineers, mastering these agentic workflows is critical for scaling complex refactoring, managing cognitive load in large-scale repositories, and establishing robust human-in-the-loop (HITL) governance for AI-driven infrastructure operations. + +