Merge pull request #271 from nubenetes/develop

release: sync Agentic DevOps Live playlist (v2.3.10)
Merge pull request #270 from nubenetes/bot/v2-video-agentic-devops
2026-09-01 08:07:19 +00:00 · 2026-05-27 19:15:10 +02:00 · 2026-05-27 19:14:54 +02:00 · 2026-05-27 19:14:20 +02:00 · 2026-05-27 17:01:44 +00:00 · 2026-05-27 19:01:10 +02:00
7 changed files with 537 additions and 293 deletions
@@ -5,6 +5,21 @@ 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).

+## [[2.3.10]](https://github.com/nubenetes/awesome-kubernetes/releases/tag/v2.3.10) - 2026-05-27
+
+### Added
+- **Agentic DevOps Live Playlist**: Integrated the Microsoft/GitHub "Agentic DevOps Live" series into the V2 Video Hub under the AI and Future Operations category, detailing SRE agents, Copilot App Mod agents, and autonomous development loops.
+
+## [[2.3.9]](https://github.com/nubenetes/awesome-kubernetes/releases/tag/v2.3.9) - 2026-05-27
+
+### Added
+- **VS Code Dev Tunnels Video**: Integrated Gisela Torres' tutorial on VS Code Dev Tunnels into the V2 Video Hub, highlighting the secure remote access capabilities and developer productivity benefits. [SPANISH CONTENT]
+
+## [[2.3.8]](https://github.com/nubenetes/awesome-kubernetes/releases/tag/v2.3.8) - 2026-05-27
+
+### Added
+- **Red Hat Summit 2026 Video**: Integrated the Red Hat Summit 2026 interview with Fran Heeran into the Video Hub, detailing the architectural shift of telecommunications providers to unified cloud-native networks using OpenShift Virtualization.
+
 ## [[2.3.7]](https://github.com/nubenetes/awesome-kubernetes/releases/tag/v2.3.7) - 2026-05-26

 ### Fixed
@@ -133,14 +133,14 @@ Additionally, as of May 2026, Nubenetes has reached the **Platinum Operational T
 ## 2. Repository Metrics and Evolution

 ### 2.1. The "Heart" of Nubenetes
-(Stats as of 2026-05-26)
+(Stats as of 2026-05-27)

 <!-- HEART_STATS_START -->
 | Metric | Value |
 | :--- | :--- |
-| **Total Technical Resources (Links)** | **17993+** |
+| **Total Technical Resources (Links)** | **17995+** |
 | **Specialized MD Pages** | **161** |
-| **Total Commits** | **5527+** |
+| **Total Commits** | **5550+** |
 | **Primary AI Engine** | **Google Gemini (Agentic)** |
 <!-- HEART_STATS_END -->

@@ -178,7 +178,7 @@ The growth of Nubenetes reflects the acceleration of the Cloud Native ecosystem.
 | 6 | 2023 | 30 | 123 | Maintenance & Refinement |
 | 7 | 2024 | 53 | 218 | Curation Strategy Pivot |
 | 8 | 2025 | 5 | 20 | Stability & Research Phase |
-| 9 | 2026 | 1968 | 8,127 | **Agentic AI Surge** (May 2026 Inception) |
+| 9 | 2026 | 1991 | 8,222 | **Agentic AI Surge** (May 2026 Inception) |
 <!-- ANNUAL_GROWTH_END -->

 <!-- ANNUAL_CHART_START -->
@@ -194,8 +194,8 @@ xychart-beta
    title "Nubenetes Annual Growth Metrics (2018–2026)"
    x-axis ["2018", "2019", "2020", "2021", "2022", "2023", "2024", "2025", "2026"]
    y-axis "Volume (Commits / Estimated New Refs)" 0 --> 9000
-    bar [1445, 586, 8449, 2193, 1660, 123, 218, 20, 8127]
-    bar [350, 142, 2046, 531, 402, 30, 53, 5, 1968]
+    bar [1445, 586, 8449, 2193, 1660, 123, 218, 20, 8222]
+    bar [350, 142, 2046, 531, 402, 30, 53, 5, 1991]
 ```
 <!-- ANNUAL_CHART_END -->

@@ -204,7 +204,7 @@ xychart-beta
 | Month | Commits | Est. New Refs | Status |
 | :--- | :---: | :---: | :--- |
 | 2026-04 | 25 | 103 | Active Curation |
-| 2026-05 | 1943 | 8,024 | **Agentic Inception (Gemini Era)** |
+| 2026-05 | 1966 | 8,119 | **Agentic Inception (Gemini Era)** |
 <!-- MONTHLY_SURGE_END -->

 ### 2.4. Content Distribution and Semantic Clustering
@@ -217,7 +217,7 @@ This chart shows the high-level distribution across the primary domains of Cloud
 <!-- PILLAR_CHART_START -->
 ```mermaid
 pie title Nubenetes Major Ecosystem Pillars
-    "Specialized Topics" : 3593
+    "Specialized Topics" : 3595
    "Kubernetes Ecosystem" : 3500
    "Developer Ecosystem" : 3000
    "Public/Private Cloud" : 2500
@@ -238,7 +238,7 @@ Reflecting Nubenetes' mission of global access while maintaining technical Engli
 <!-- SUB_ECO_CHART_START -->
 ```mermaid
 pie title Linguistic Diversity (Global Access)
-    "English" : 16193
+    "English" : 16195
    "Spanish" : 1079
    "French" : 179
    "Others" : 539
@@ -64629,6 +64629,7 @@ https://docs.gitlab.com/releases:
  - '[COMMUNITY-TOOL]'
  v2_locations:
  - cicd-kubernetes-plugins.md
+  - git.md
 https://docs.gitlab.com/runner/install/openshift.html:
  content_hash: N/A
  description: ''
@@ -97582,7 +97583,7 @@ https://github.com/gravitational/teleport:
  stars: 0
  status: online
  tags:
-  - '[COMMUNITY-TOOL]'
+  - '[DE FACTO STANDARD]'
  title: Teleport 🌟
  v1_locations:
  - docs/kubernetes-tools.md
@@ -110222,6 +110223,7 @@ https://github.com/openshift/installer:
  - docs/openshift.md
  v2_locations:
  - openshift.md
+  - ocp4.md
  year: N/A
 https://github.com/openshift/installer/blob/main/docs/user/aws/README.md:
  content_hash: 26cfbf4e2965b9721356c3f494cf99f2e5629e7680fdedfd2766663b397756f2
@@ -230542,6 +230544,7 @@ https://www.dynatrace.com/solutions/observability-for-developers:
  v2_locations:
  - qa.md
  - kubernetes-based-devel.md
+  - kubernetes-operators-controllers.md
  year: '2021'
 https://www.dynatrace.com/solutions/observability-for-developers/-development-machines-part-5:
  health_score: 64.0
@@ -232017,6 +232020,7 @@ https://www.f5.com/products/nginx:
  - web-servers.md
  - ansible.md
  - linux.md
+  - faq.md
  year: '2026'
 https://www.f5.com/products/nginx/resources/library/complete-nginx-cookbook:
  health_score: 64.0
@@ -261352,6 +261356,7 @@ https://www.redhat.com/en/blog:
  v2_locations:
  - kubernetes-backup-migrations.md
  - ocp4.md
+  - demos.md
 https://www.redhat.com/en/blog/11-manager-considerations:
  content_hash: 13cb72b8e114393e0501597b039b3a8f603e5de870aa10ae0156f1b6269f4bc3
  health_score: 100.0
@@ -273758,6 +273763,7 @@ https://www.techtarget.com/searchcio/answer/ITPro-Today-Network-Computing-IoT-Wo
  - kubernetes-alternatives.md
  - devops.md
  - kubernetes-on-premise.md
+  - securityascode.md
  year: '2024'
 https://www.techtarget.com/searchcloudcomputing/answer/Amazon-ECS-vs-Kubernetes-Which-should-you-use-on-AWS:
  ai_summary: A comprehensive comparison outlining the structural and operational
@@ -282213,8 +282219,16 @@ https://www.youtube.com/embed/9vM4p9NN0Ts:
  video_order: 26
  year: N/A
 https://www.youtube.com/embed/QBqRAMVTmwE:
-  ai_summary: |
-    Azure Verified Modules (AVM) is the official Microsoft infrastructure-as-code module library for both Bicep and Terraform. This session explores how AVM standardizes deployments according to the Azure Well-Architected Framework by default, shipping with high-impact security defaults like zone redundancy and disabled public IPs. It introduces Spec-Driven Development with GitHub Copilot using the "Spec Kit" (an 8-step framework from constitution to implementation). By turning non-deterministic AI prompts into reliable, repeatable builds, architects can leverage AI as a trusted foundation for secure and compliant Azure workload orchestration.
+  ai_summary: 'Azure Verified Modules (AVM) is the official Microsoft infrastructure-as-code
+    module library for both Bicep and Terraform. This session explores how AVM standardizes
+    deployments according to the Azure Well-Architected Framework by default, shipping
+    with high-impact security defaults like zone redundancy and disabled public IPs.
+    It introduces Spec-Driven Development with GitHub Copilot using the "Spec Kit"
+    (an 8-step framework from constitution to implementation). By turning non-deterministic
+    AI prompts into reliable, repeatable builds, architects can leverage AI as a trusted
+    foundation for secure and compliant Azure workload orchestration.
+
+    '
  category: Architecture and Cloud Strategy
  description: Featured video in the Top Videos & Clips section.
  health_score: 100.0
@@ -282224,13 +282238,16 @@ https://www.youtube.com/embed/QBqRAMVTmwE:
  stars: 0
  status: online
  technology: Azure Verified Modules (AVM)
-  title: Building Secure, Well‑Architected Azure Workloads with Azure Verified Modules and GitHub Copilot
+  title: Building Secure, Well‑Architected Azure Workloads with Azure Verified Modules
+    and GitHub Copilot
  v1_locations: []
  video_order: 27
  year: N/A
 https://www.youtube.com/@ITOpsTalk:
-  content_hash: ""
-  description: IT Pro & Operations content from Microsoft's Azure Infrastructure Advocacy team. Video series, screencast demos, exam prep, product team interviews, shows and more.
+  content_hash: ''
+  description: IT Pro & Operations content from Microsoft's Azure Infrastructure Advocacy
+    team. Video series, screencast demos, exam prep, product team interviews, shows
+    and more.
  health_score: 100.0
  last_checked: 0.0
  status: online
@@ -282240,8 +282257,9 @@ https://www.youtube.com/@ITOpsTalk:
  v2_locations:
  - index.md
 https://www.youtube.com/@googlecloudtech:
-  content_hash: ""
-  description: Official channel for Google Cloud. It features technical tutorials, product updates, and insights into AI, data analytics, infrastructure, and security.
+  content_hash: ''
+  description: Official channel for Google Cloud. It features technical tutorials,
+    product updates, and insights into AI, data analytics, infrastructure, and security.
  health_score: 100.0
  last_checked: 0.0
  status: online
@@ -282251,8 +282269,9 @@ https://www.youtube.com/@googlecloudtech:
  v2_locations:
  - index.md
 https://www.youtube.com/@GoogleGemini:
-  content_hash: ""
-  description: Official channel for Google Gemini, focusing on the latest advancements and applications of Gemini AI models.
+  content_hash: ''
+  description: Official channel for Google Gemini, focusing on the latest advancements
+    and applications of Gemini AI models.
  health_score: 100.0
  last_checked: 0.0
  status: online
@@ -282262,8 +282281,9 @@ https://www.youtube.com/@GoogleGemini:
  v2_locations:
  - index.md
 https://www.youtube.com/@googledeepmind:
-  content_hash: ""
-  description: Official channel for Google DeepMind, showcasing research and breakthroughs in artificial intelligence.
+  content_hash: ''
+  description: Official channel for Google DeepMind, showcasing research and breakthroughs
+    in artificial intelligence.
  health_score: 100.0
  last_checked: 0.0
  status: online
@@ -282273,8 +282293,9 @@ https://www.youtube.com/@googledeepmind:
  v2_locations:
  - index.md
 https://www.youtube.com/@anthropic-ai:
-  content_hash: ""
-  description: Official channel for Anthropic, focusing on AI safety and the development of Claude AI.
+  content_hash: ''
+  description: Official channel for Anthropic, focusing on AI safety and the development
+    of Claude AI.
  health_score: 100.0
  last_checked: 0.0
  status: online
@@ -282284,8 +282305,9 @@ https://www.youtube.com/@anthropic-ai:
  v2_locations:
  - index.md
 https://www.youtube.com/@Microsoft.Copilot:
-  content_hash: ""
-  description: Official channel for Microsoft Copilot, highlighting AI-powered productivity tools and features.
+  content_hash: ''
+  description: Official channel for Microsoft Copilot, highlighting AI-powered productivity
+    tools and features.
  health_score: 100.0
  last_checked: 0.0
  status: online
@@ -282295,8 +282317,9 @@ https://www.youtube.com/@Microsoft.Copilot:
  v2_locations:
  - index.md
 https://www.youtube.com/OpenAI:
-  content_hash: ""
-  description: Official channel for OpenAI, the research and deployment company behind GPT-4 and ChatGPT.
+  content_hash: ''
+  description: Official channel for OpenAI, the research and deployment company behind
+    GPT-4 and ChatGPT.
  health_score: 100.0
  last_checked: 0.0
  status: online
@@ -282306,8 +282329,9 @@ https://www.youtube.com/OpenAI:
  v2_locations:
  - index.md
 https://www.youtube.com/@aiatmeta:
-  content_hash: ""
-  description: Official channel for Meta AI, sharing news and research on Meta's artificial intelligence initiatives.
+  content_hash: ''
+  description: Official channel for Meta AI, sharing news and research on Meta's artificial
+    intelligence initiatives.
  health_score: 100.0
  last_checked: 0.0
  status: online
@@ -282317,8 +282341,9 @@ https://www.youtube.com/@aiatmeta:
  v2_locations:
  - index.md
 https://www.youtube.com/@Playwrightdev:
-  content_hash: ""
-  description: Official channel for Playwright, the open-source framework for reliable end-to-end testing for modern web apps.
+  content_hash: ''
+  description: Official channel for Playwright, the open-source framework for reliable
+    end-to-end testing for modern web apps.
  health_score: 100.0
  last_checked: 0.0
  status: online
@@ -289085,3 +289110,64 @@ https://…:
  v2_locations:
  - kubernetes-troubleshooting.md
  year: N/A
+https://www.youtube.com/embed/Tr4onEST70I:
+  is_featured_video: true
+  is_enriched: true
+  video_order: 28
+  category: Architecture and Cloud Strategy
+  technology: OpenShift
+  stars: 0
+  status: online
+  health_score: 100.0
+  last_checked: 0.0
+  year: '2026'
+  description: Featured video in the Top Videos & Clips section.
+  v1_locations: []
+  title: Fran Heeran, Red Hat | Red Hat Summit 2026
+  ai_summary: In this Red Hat Summit 2026 interview, Fran Heeran details how telecommunications
+    providers are shifting from heavily siloed infrastructure to unified cloud-native
+    architectures. By leveraging OpenShift Virtualization, telcos can centrally manage
+    both legacy virtual machines and modern containers across core networks and the
+    far edge, accelerating deployments up to 50%. This unified architecture additionally
+    enables sovereign cloud offerings and closed-loop network automation by feeding
+    AI outputs directly into Ansible-driven remediation workflows.
+https://www.youtube.com/embed/niuJpAKyb7c:
+  is_featured_video: true
+  is_enriched: true
+  video_order: 29
+  category: Developer Productivity
+  technology: VS Code
+  stars: 0
+  status: online
+  health_score: 100.0
+  last_checked: 0.0
+  year: '2023'
+  description: Featured video in the Top Videos & Clips section.
+  v1_locations: []
+  title: 'Remote VS Code with Dev Tunnels: access the editor from your browser'
+  ai_summary: 'In this tutorial, Gisela Torres explains the architecture and application
+    of VS Code Dev Tunnels to enable secure remote access to local development environments.
+    Dev Tunnels establish a secure, encrypted connection to VS Code without requiring
+    complex VPNs or firewall modifications, allowing developers to connect from any
+    web browser or secondary editor instance. For 2026 developer productivity, this
+    simplifies remote workspace orchestration and collaborative debugging in cloud-native
+    platforms. [SPANISH CONTENT]
+
+    '
+
+https://www.youtube.com/embed/videoseries?list=PLmsFUfdnGr3w9BdWjQGAwV7UPW0kspwOp:
+  is_featured_video: true
+  is_enriched: true
+  video_order: 30
+  category: AI and Future Operations
+  technology: Agentic DevOps
+  stars: 0
+  status: online
+  health_score: 100.0
+  last_checked: 0.0
+  year: '2025'
+  description: Featured video series in the Top Videos & Clips section.
+  v1_locations: []
+  title: 'Agentic DevOps Live'
+  ai_summary: |
+    This official live series explores the paradigm shift from traditional CI/CD pipelines to autonomous, agent-driven operations (Agentic DevOps). It covers technical deep-dives into Azure SRE Agents for automated root cause analysis and proactive reliability, GitHub Copilot App Mod Agents for modernizing legacy systems at scale, and AI-powered workflows across GitHub and Azure DevOps. Essential for platform engineers designing self-healing environments and scalable human-in-the-loop AI governance in 2026.
@@ -1,6 +1,6 @@
-mkdocs-material>=9.5.0
-pymdown-extensions>=10.8.1
+mkdocs-material>=9.7.6
+pymdown-extensions>=10.21.3
 yt-dlp
 youtube-transcript-api
-mkdocs-redirects>=1.2.0
+mkdocs-redirects>=1.2.3
 mkdocs-minify-plugin>=0.8.0
@@ -29,9 +29,24 @@ def generate_v2_videos():
        print("No featured videos found in inventory.")
        return

-    # Sort by Category Order (using the numeric prefix) and then by video_order field
-    # Categories: "1. Fundamentals and Documentaries", "2. Architecture...", etc.
-    featured_videos.sort(key=lambda x: (x["category"], x.get("video_order", 999)))
+    # Logical category order following the O'Reilly learning flow
+    CATEGORY_ORDER = [
+        "Fundamentals and Documentaries",
+        "Architecture and Cloud Strategy",
+        "Infrastructure as Code",
+        "Developer Productivity",
+        "Observability and Monitoring",
+        "Security and Compliance",
+        "AI and Future Operations"
+    ]
+
+    def category_key(cat):
+        try:
+            return CATEGORY_ORDER.index(cat)
+        except ValueError:
+            return len(CATEGORY_ORDER)
+
+    featured_videos.sort(key=lambda x: (category_key(x["category"]), x.get("video_order", 999)))

    def clean_header(text):
        # MANDATE 30: No ampersands, no special characters
@@ -46,6 +61,13 @@ def generate_v2_videos():
        t = text.replace("&", "and").replace("(", "").replace(")", "")
        return t.lower().strip().replace(" ", "-").replace("/", "-").replace(".", "")

+    def is_spanish(title, summary):
+        if "[SPANISH CONTENT]" in summary or "[SPANISH CONTENT]" in title:
+            return True
+        if title.strip().startswith("¿"):
+            return True
+        return False
+
    content = [
        "# 🎥 Nubenetes Elite Video Hub",
        "",
@@ -55,12 +77,25 @@ def generate_v2_videos():
        ""
    ]

-    categories = sorted(list(set(v["category"] for v in featured_videos)))
+    categories = sorted(list(set(v["category"] for v in featured_videos)), key=category_key)
    for idx, cat in enumerate(categories, 1):
        clean_cat = clean_header(cat)
        slug = get_slug(cat)
        content.append(f"{idx}. [{clean_cat}](#{slug})")

+        # Get unique technologies in this category, keeping their relative order based on video_order
+        cat_videos = [v for v in featured_videos if v["category"] == cat]
+        cat_videos.sort(key=lambda x: x.get("video_order", 999))
+        seen_techs = []
+        for v in cat_videos:
+            tech = v.get("technology", "Cloud Native")
+            if tech not in seen_techs:
+                seen_techs.append(tech)
+        for tech in seen_techs:
+            clean_tech = clean_header(f"{tech} ({cat})")
+            tech_slug = get_slug(f"{tech} ({cat})")
+            content.append(f"    - [{clean_tech}](#{tech_slug})")
+
    content.append("")

    for cat in categories:
@@ -68,28 +103,44 @@ def generate_v2_videos():
        slug = get_slug(cat)
        # Use standard headers (MkDocs generates anchors automatically)
        content.append(f"## {clean_cat}")
-        cat_videos = [v for v in featured_videos if v["category"] == cat]
        
-        # Sort by video_order within category
+        cat_videos = [v for v in featured_videos if v["category"] == cat]
        cat_videos.sort(key=lambda x: x.get("video_order", 999))
-
+        
+        # Group videos by technology
+        tech_groups = {}
+        tech_order = []
        for v in cat_videos:
            tech = v.get("technology", "Cloud Native")
-            # Ensure summary is correctly indented for multiline blocks
-            summary = v.get("summary", "").strip()
-            indented_summary = summary.replace("\n", "\n        ")
+            if tech not in tech_groups:
+                tech_groups[tech] = []
+                tech_order.append(tech)
+            tech_groups[tech].append(v)
            
-            # Collapsible block per video for better flow
-            content.append(f"??? note \"🎬 {v['title']} | `{tech}`\"")
-            content.append(f"    !!! info \"Architectural Summary\"")
-            content.append(f"        {indented_summary}")
-            content.append("")
-            content.append('    <center markdown="1">')
-            content.append('')
-            content.append(f'    <iframe width="720" height="405" src="{v["url"]}" title="{v["title"]}" 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>')
-            content.append('')
-            content.append('    </center>')
-            content.append("")
+        for tech in tech_order:
+            clean_tech = clean_header(f"{tech} ({cat})")
+            tech_slug = get_slug(f"{tech} ({cat})")
+            content.append(f"### {clean_tech}")
+            
+            for v in tech_groups[tech]:
+                # Ensure summary is correctly indented for multiline blocks
+                summary = v.get("summary", "").strip()
+                indented_summary = summary.replace("\n", "\n        ")
+                
+                is_sp = is_spanish(v['title'], summary)
+                lang_suffix = " [SPANISH CONTENT]" if is_sp else ""
+                
+                # Collapsible block per video for better flow
+                content.append(f"??? note \"🎬 {v['title']} | `{tech}{lang_suffix}`\"")
+                content.append(f"    !!! info \"Architectural Summary\"")
+                content.append(f"        {indented_summary}")
+                content.append("")
+                content.append('    <center markdown="1">')
+                content.append('')
+                content.append(f'    <iframe width="720" height="405" src="{v["url"]}" title="{v["title"]}" 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>')
+                content.append('')
+                content.append('    </center>')
+                content.append("")

    with open(V2_VIDEOS_PATH, "w") as f:
        f.write("\n".join(content))
@@ -21,9 +21,9 @@
    2. **Standard Layer (Mapped)**: Resources identified as candidates for Elite status but pending deep AI analysis.

    **Current Inventory Coverage:**
-    - **V1 Base Inventory**: 17983 total resources analyzed.
-    - **V2 Elite Selection**: 14172 candidates identified (78.81% density ratio).
-    - **AI Enrichment Coverage**: 2853 / 14172 (20.13%)
+    - **V1 Base Inventory**: 17995 total resources analyzed.
+    - **V2 Elite Selection**: 14181 candidates identified (78.81% density ratio).
+    - **AI Enrichment Coverage**: 2853 / 14181 (20.12%)
    - **GitHub Metadata Coverage**: 1451 / 1763 (82.3%) - *Critical for Maturity Tagging*
    - **Status**: The system is incrementally processing pending resources to complete the knowledge graph.

@@ -4,246 +4,46 @@ Welcome to the **Agentic Video Hub**. This section presents a logical, architect

 ## Table of Contents

-1. [AI and Future Operations](#ai-and-future-operations)
+1. [Fundamentals and Documentaries](#fundamentals-and-documentaries)
+    - [Kubernetes Fundamentals and Documentaries](#kubernetes-fundamentals-and-documentaries)
+    - [Jenkins Fundamentals and Documentaries](#jenkins-fundamentals-and-documentaries)
 2. [Architecture and Cloud Strategy](#architecture-and-cloud-strategy)
-3. [Fundamentals and Documentaries](#fundamentals-and-documentaries)
-4. [Infrastructure as Code](#infrastructure-as-code)
+    - [Kubernetes Architecture and Cloud Strategy](#kubernetes-architecture-and-cloud-strategy)
+    - [Red Hat OpenShift Architecture and Cloud Strategy](#red-hat-openshift-architecture-and-cloud-strategy)
+    - [Platform Engineering Architecture and Cloud Strategy](#platform-engineering-architecture-and-cloud-strategy)
+    - [Ruby on Rails Architecture and Cloud Strategy](#ruby-on-rails-architecture-and-cloud-strategy)
+    - [Ruby on Rails / Hotwire Architecture and Cloud Strategy](#ruby-on-rails---hotwire-architecture-and-cloud-strategy)
+    - [Portworx Architecture and Cloud Strategy](#portworx-architecture-and-cloud-strategy)
+    - [HashiCorp Stack Terraform, Vault, Consul, Boundary Architecture and Cloud Strategy](#hashicorp-stack-terraform,-vault,-consul,-boundary-architecture-and-cloud-strategy)
+    - [Modular Monoliths Architecture and Cloud Strategy](#modular-monoliths-architecture-and-cloud-strategy)
+    - [Git Architecture and Cloud Strategy](#git-architecture-and-cloud-strategy)
+    - [Azure DevOps and GitHub Actions Architecture and Cloud Strategy](#azure-devops-and-github-actions-architecture-and-cloud-strategy)
+    - [Distributed Systems Strategy Architecture and Cloud Strategy](#distributed-systems-strategy-architecture-and-cloud-strategy)
+    - [FinOps Architecture and Cloud Strategy](#finops-architecture-and-cloud-strategy)
+    - [GitOps Architecture and Cloud Strategy](#gitops-architecture-and-cloud-strategy)
+    - [Hosted Control Planes Architecture and Cloud Strategy](#hosted-control-planes-architecture-and-cloud-strategy)
+    - [Azure Verified Modules AVM Architecture and Cloud Strategy](#azure-verified-modules-avm-architecture-and-cloud-strategy)
+    - [OpenShift Architecture and Cloud Strategy](#openshift-architecture-and-cloud-strategy)
+3. [Infrastructure as Code](#infrastructure-as-code)
+    - [Terraform Enterprise Infrastructure as Code](#terraform-enterprise-infrastructure-as-code)
+    - [NetBox Infrastructure as Code](#netbox-infrastructure-as-code)
+4. [Developer Productivity](#developer-productivity)
+    - [VS Code Developer Productivity](#vs-code-developer-productivity)
 5. [Observability and Monitoring](#observability-and-monitoring)
+    - [Prometheus Observability and Monitoring](#prometheus-observability-and-monitoring)
 6. [Security and Compliance](#security-and-compliance)
-
-## AI and Future Operations
-??? note "🎬 Thursday morning general session - May 9 - Red Hat Summit 2019 | `Red Hat OpenShift`"
-    !!! info "Architectural Summary"
-        This session outlines the architectural enablement of cloud-native AI/ML workloads by integrating Red Hat OpenShift with NVIDIA GPU acceleration and automated MLOps platforms like H2O.ai and ProphetStor. It demonstrates how standardizing on a Kubernetes-based hybrid cloud substrate abstracts heterogeneous hardware environments, facilitating deterministic scaling, resource orchestration, and cognitive monitoring for high-performance AI pipelines. This unified operational model serves as a foundational blueprint for modern enterprise AI-platform engineering and edge computing architectures.
-
-    <center markdown="1">
-
-    <iframe width="720" height="405" src="https://www.youtube.com/embed/FUu4kMc0PL8?clip=UgkxLbUzIJtyeKPi66qAvxxRlGbofYp_Gr8B&amp;clipt=EIDy0gIY4MbWAg" title="Thursday morning general session - May 9 - Red Hat Summit 2019" 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 "🎬 Artificial Intelligence | 60 Minutes Full Episodes | `Generative AI and Large Language Models`"
-    !!! 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.
-
-    <center markdown="1">
-
-    <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>
-
-    </center>
-
-??? note "🎬 Red Hat OpenShift AI overview | `Red Hat OpenShift AI`"
-    !!! info "Architectural Summary"
-        Red Hat OpenShift AI provides an enterprise-grade MLOps platform built on Kubernetes that standardizes the training, tuning, serving, and monitoring of foundation and predictive AI models across hybrid and multi-cloud environments. By integrating open-source frameworks like Jupyter, PyTorch, and KServe with certified hardware accelerators, it delivers a secure, consistent, and self-service environment for platform and data science teams. This architecture ensures robust AI governance, operational scalability, and accelerated time-to-market for intelligent cloud-native applications.
-
-    <center markdown="1">
-
-    <iframe width="720" height="405" src="https://www.youtube.com/embed/Hc8emNr2igU?si=kehLRUpOAvyK_Bku" title="Red Hat OpenShift AI overview" 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 "🎬 ¿Qué es una Red Neuronal? Parte 1 : La Neurona | DotCSV | `Neural Networks`"
-    !!! info "Architectural Summary"
-        This video deconstructs the foundational mathematical and algorithmic mechanics of a single artificial neuron, illustrating its direct relationship with linear regression, weights, biases, and activation functions. In a 2026 cloud-native landscape, mastering these core neural principles is critical for platform architects optimizing distributed micro-models and real-time AI inference engines deployed on Kubernetes-driven edge and cloud infrastructure. This granular understanding enables more efficient hardware acceleration profiling (GPUs/vGPUs/TPUs) and smarter resource allocation for decentralized machine learning pipelines.
-
-    <center markdown="1">
-
-    <iframe width="720" height="405" src="https://www.youtube.com/embed/MRIv2IwFTPg?si=F07g869i6yIfqRdg" title="¿Qué es una Red Neuronal? Parte 1 : La Neurona | DotCSV" 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 "🎬 Mastering Claude Code in 30 minutes | `Claude Code`"
-    !!! 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.
-
-    <center markdown="1">
-
-    <iframe width="720" height="405" src="https://www.youtube.com/embed/6eBSHbLKuN0" title="Mastering Claude Code in 30 minutes" 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 "🎬 Stanford CS229: Building Large Language Models (LLMs) | `LLM Architecture & Post-Training`"
-    !!! info "Architectural Summary"
-        This Stanford CS229 technical deep-dive deconstructs the transition from raw autoregressive language models to instruction-tuned assistants, focusing on the systems orchestration required for 2026 AI infrastructure. It explores critical patterns in tokenization (BPE/Sub-word), parameter-efficient fine-tuning (PEFT/LoRA), and the shift from RLHF to Direct Preference Optimization (DPO) to simplify model alignment pipelines. For cloud architects, the lecture provides a foundational framework for optimizing the "Compute-to-Token" ratio and managing memory constraints (KV Cache) in distributed distributed inference environments, while advocating for LLM-as-a-Judge automated evaluation loops for scalable model governance.
-
-    <center markdown="1">
-
-    <iframe width="720" height="405" src="https://www.youtube.com/embed/9vM4p9NN0Ts" title="Stanford CS229: Building Large Language Models (LLMs)" 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>
-
-## Architecture and Cloud Strategy
-??? note "🎬 Kubernetes for SysAdmins | Kelsey Hightower at PuppetConf | Talk & Demo | `Kubernetes`"
-    !!! info "Architectural Summary"
-        This seminal presentation outlines the paradigm shift from traditional imperative configuration management to declarative, container-orchestrated infrastructure by redefining the operating contract between applications and underlying systems. Viewed from a 2026 cloud-native perspective, Kelsey Hightower's early demonstrations of self-healing workloads, automated bin-packing, and custom controllers for automated TLS provisioning serve as the foundational blueprint for modern platform engineering. The architectural concepts covered—specifically decoupling stateful storage and leveraging native service discovery—remain highly relevant for engineers transitioning from static sysadmin practices to dynamic API-driven control loops.
-
-    <center markdown="1">
-
-    <iframe width="720" height="405" src="https://www.youtube.com/embed/HlAXp0-M6SY?clip=UgkxWpu3QFPEDZBuMgy_Xq4mBR--uLA-3CSZ&amp;clipt=EMSoKxiG3C4" title="Kubernetes for SysAdmins | Kelsey Hightower at PuppetConf | Talk & Demo" 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 "🎬 Thursday morning general session - May 9 - Red Hat Summit 2019 | `Red Hat OpenShift`"
-    !!! info "Architectural Summary"
-        This session outlines the architectural deployment of Red Hat OpenShift as a unified hybrid cloud platform, demonstrating how enterprise Kubernetes orchestrates complex workloads across multi-cloud and edge environments. It highlights critical integrations with GPU acceleration and AI/ML pipelines, establishing a robust blueprint for modern MLOps and scalable cloud-native operations.
-
-    <center markdown="1">
-
-    <iframe width="720" height="405" src="https://www.youtube.com/embed/FUu4kMc0PL8?clip=UgkxFMdlFKBQze7NVVd7q2nIwBYWkeaKeoX8&amp;clipt=EIzBzwIY1fnSAg" title="Thursday morning general session - May 9 - Red Hat Summit 2019" 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 "🎬 Keynote: 7 Years of Running Kubernetes for Mercedes-Benz | `Kubernetes`"
-    !!! info "Architectural Summary"
-        This architectural retrospective outlines Mercedes-Benz's transformation from legacy, manual infrastructure management to an on-premises, self-service cloud platform managing nearly 1,000 clusters via Cluster API (CAPI). In a 2026 cloud-native context, it demonstrates the vital patterns for scaling declarative cluster lifecycle management and shifting traditional enterprise operations toward platform engineering model. The session highlights how organizational resilience, open-source alignment, and robust automation topologies can successfully modernize highly regulated corporate data centers.
-
-    <center markdown="1">
-
-    <iframe width="720" height="405" src="https://www.youtube.com/embed/UmbjwSK9b3I?clip=UgkxRGuBMDAVDqKckQ1lhk-9U2jLBhBIBI5l&amp;clipt=EP2dHhjd8iE" title="Keynote: 7 Years of Running Kubernetes for Mercedes-Benz" 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 is Platform Engineering and how it fits into DevOps and Cloud world | `Platform Engineering`"
-    !!! info "Architectural Summary"
-        This video details the evolution of cloud operations into Platform Engineering, focusing on the architecture and implementation of Internal Developer Platforms (IDPs) to mitigate developer cognitive load. By establishing standardized 'golden paths' through Infrastructure as Code (IaC) and self-service APIs, organizations can balance developer autonomy with rigorous governance, security, and compliance. This paradigm shift optimizes resource provisioning and modernizes DevOps workflows for highly scalable, cloud-native environments.
-
-    <center markdown="1">
-
-    <iframe width="720" height="405" src="https://www.youtube.com/embed/ghzsBm8vOms" title="What is Platform Engineering and how it fits into DevOps and Cloud world" 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 "🎬 David Heinemeier Hansson: Microservices vs. Monolith | `Ruby on Rails`"
-    !!! info "Architectural Summary"
-        In this discussion, David Heinemeier Hansson critiques the dogmatic adoption of microservices, highlighting how they introduce substantial operational complexity, network latency, and cognitive load compared to a well-structured monolith. He champions the 'Majestic Monolith' as a pattern that maximizes developer velocity and reduces organizational overhead by keeping the deployment domain unified. For modern cloud-native architectures, this perspective serves as a crucial counterweight to microservice fatigue, driving the industry toward highly-optimized modular monoliths that simplify infrastructure and cut cloud spend.
-
-    <center markdown="1">
-
-    <iframe width="720" height="405" src="https://www.youtube.com/embed/rkXGSLf-rVQ?si=Ho8Zzxbrecn7Yncb" title="David Heinemeier Hansson: Microservices vs. Monolith" 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 "🎬 The creator of Rails on JavaScript FE vs. Classic Server-side Rendering | `Ruby on Rails / Hotwire`"
-    !!! info "Architectural Summary"
-        David Heinemeier Hansson critiques the complexity of modern Single Page Application (SPA) architectures, advocating instead for the 'Majestic Monolith' and HTML-over-the-wire (Hotwire) to keep application logic unified on the server. In a 2026 cloud-native context, this paradigm challenges the overhead of decoupled micro-frontends by proving that server-side rendering (SSR) combined with lightweight HTML streaming dramatically simplifies deployment pipelines, reduces client-side resource consumption, and lowers data egress costs. This architectural approach optimizes for operational efficiency, enabling smaller engineering teams to build highly responsive, production-grade applications without managing complex API contract synchronizations.
-
-    <center markdown="1">
-
-    <iframe width="720" height="405" src="https://www.youtube.com/embed/IFUPG9KCJ4E?si=KMEXeVlcKTp87-Ja" title="The creator of Rails on JavaScript FE vs. Classic Server-side Rendering" 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 "🎬 Murli Thirumale | KubeCon CloudNativeCon EU 2023 | `Portworx`"
-    !!! info "Architectural Summary"
-        This discussion outlines how enterprise platform engineering teams leverage Portworx to deliver automated, resilient Database-as-a-Service (DBaaS) capabilities directly on Kubernetes. By abstracting multi-cloud storage, disaster recovery, and data security, it highlights architectural strategies essential for scaling stateful cloud-native workloads. For a 2026 cloud-native landscape, these unified data management planes are critical for mitigating multi-cloud lock-in, controlling cloud spend, and accelerating application delivery.
-
-    <center markdown="1">
-
-    <iframe width="720" height="405" src="https://www.youtube.com/embed/I8Qh-TafMvQ?si=1A2-kmq6mV-S-03c" title="Murli Thirumale | KubeCon CloudNativeCon EU 2023" 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 "🎬 Red Hat OpenShift Platform Plus - Overview | `Red Hat OpenShift`"
-    !!! info "Architectural Summary"
-        Red Hat OpenShift Platform Plus provides an enterprise-grade, multi-cluster Kubernetes foundation integrating advanced cluster management, declarative DevSecOps security, and a global container registry. In a 2026 cloud-native landscape, it delivers a unified platform engineering control plane that simplifies multi-cloud operations while enforcing consistent governance and security policies from core to edge. This suite accelerates secure software delivery pipelines by embedding automated compliance and threat protection directly into the application lifecycle.
-
-    <center markdown="1">
-
-    <iframe width="720" height="405" src="https://www.youtube.com/embed/V7PSnH8YnTk?si=6Mq4wjpipTLwUvYe" title="Red Hat OpenShift Platform Plus - Overview" 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 "🎬 Building a developer platform? Ask these questions. | `HashiCorp Stack (Terraform, Vault, Consul, Boundary)`"
-    !!! info "Architectural Summary"
-        This session details how to build secure, scalable developer platforms by defining 'golden paths' using HashiCorp's suite of automation tools, including Terraform, Vault, Consul, and Boundary. It provides a strategic framework for resolving key platform engineering challenges such as Day 2 operations, infrastructure dependency mapping, secure access control, and seamless local-to-remote environment transitions. By abstracting cloud complexity, the session demonstrates how to deliver high-velocity self-service capabilities to development teams while ensuring governance and security compliance.
-
-    <center markdown="1">
-
-    <iframe width="720" height="405" src="https://www.youtube.com/embed/1Fl25dR01pw?si=bJlQozIfT3J4rhN3" title="Building a developer platform? Ask these questions." 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 "🎬 ¿De verdad son necesarios los microservicios? | `Modular Monoliths`"
-    !!! info "Architectural Summary"
-        This video critically evaluates the over-engineering of distributed systems, examining whether the operational overhead, network latency, and complexity of microservices are justified for most projects. In a 2026 cloud-native landscape focusing heavily on cost optimization and developer velocity, it advocates for a pragmatic, domain-driven approach, highlighting modular monoliths as a powerful alternative before prematurely adopting microservices.
-
-    <center markdown="1">
-
-    <iframe width="720" height="405" src="https://www.youtube.com/embed/L8eJh1sfc1U?si=y546MyZpRe-thoad" title="¿De verdad son necesarios los microservicios?" 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 "🎬 Branching Strategies Explained | `Git`"
-    !!! info "Architectural Summary"
-        This guide provides a comprehensive architectural evaluation of various Git branching strategies, including Trunk-Based Development, Feature Branches, Git Flow, and Environment Branches, weighing their impacts on delivery velocity. For a 2026 cloud-native landscape, it emphasizes how moving toward trunk-based development or short-lived feature branches is essential for optimizing continuous integration (CI) pipelines, minimizing integration debt, and enabling rapid, automated deployments to Kubernetes and cloud environments.
-
-    <center markdown="1">
-
-    <iframe width="720" height="405" src="https://www.youtube.com/embed/U_IFGpJDbeU?si=XzHSGU9dTH-1_0EW" title="Branching Strategies Explained" 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 "🎬 Panel: Azure DevOps vs. GitHub Actions | `Azure DevOps & GitHub Actions`"
-    !!! info "Architectural Summary"
-        This panel discussion provides a comprehensive architectural comparison between Azure DevOps and GitHub Actions, focusing on enterprise governance, extensibility, and CI/CD workflow migration strategies. It outlines decision frameworks for hybrid platform setups, highlighting how organizations can leverage GitHub Actions for modern cloud-native developer velocity while maintaining Azure DevOps for mature project management, test plans, and strict regulatory compliance. Essential for cloud architects planning long-term toolchain evolution, this session clarifies integration pathways and future-proof migration strategies.
-
-    <center markdown="1">
-
-    <iframe width="720" height="405" src="https://www.youtube.com/embed/8g4qLzkpjeE?si=xcfl3ugsMGZ8Kthg" title="Panel: Azure DevOps vs. GitHub Actions" 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 "🎬 Elon Musk talks Twitter, Tesla and how his brain works — live at TED2022 | `Distributed Systems Strategy`"
-    !!! info "Architectural Summary"
-        This systemic interview highlights architectural principles around open-sourcing core algorithms to enforce platform transparency and trust, directly paralleling modern GitOps, policy-as-code, and zero-trust verification frameworks in Cloud Native environments. Additionally, the insights on extreme manufacturing automation offer critical design lessons for 2026 edge computing, emphasizing the necessity of closed-loop automation, event-driven orchestration, and radical simplification of complex distributed infrastructures.
-
-    <center markdown="1">
-
-    <iframe width="720" height="405" src="https://www.youtube.com/embed/cdZZpaB2kDM?clip=UgkxWAPHZbVaNZzk9pi0lMu6k5ABLuMHBtRL&amp;clipt=EK2rfRjW9YAB" title="Elon Musk talks Twitter, Tesla and how his brain works — live at TED2022" 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 "🎬 The Brutal Truth Behind Tech Layoffs | `FinOps`"
-    !!! info "Architectural Summary"
-        This analysis dissects the macroeconomic shift from hyper-growth talent hoarding to hyper-efficiency, highlighting the systemic collapse of bloated engineering teams in favor of lean, automated operations. For a 2026 cloud-native landscape, this underscores the critical role of platform engineering and robust FinOps architectures designed to maximize resource utilization while minimizing human-in-the-loop operational overhead. Architects must leverage these insights to build self-healing, highly automated platforms that successfully decouple organizational scale from headcount.
-
-    <center markdown="1">
-
-    <iframe width="720" height="405" src="https://www.youtube.com/embed/hAwtrJlBVJY?si=bnyptzNFx4jzOiEj" title="The Brutal Truth Behind Tech Layoffs" 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 "🎬 GitOps Guide to the Galaxy | `GitOps`"
-    !!! info "Architectural 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.
-
-    <center markdown="1">
-
-    <iframe width="720" height="405" src="https://www.youtube.com/embed/videoseries?si=zdATyq_E2wXN7AC6&amp;list=PLbMP1JcGBmSGKO8UreWpOBOhCqilejhtd" title="GitOps Guide to the Galaxy" 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 "🎬 GitOps Guide to the Galaxy: Hosted Control Planes (HyperShift) | `Hosted Control Planes`"
-    !!! info "Architectural 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.
-
-    <center markdown="1">
-
-    <iframe width="720" height="405" src="https://www.youtube.com/embed/LiSb82Lug7M" title="GitOps Guide to the Galaxy: Hosted Control Planes (HyperShift)" 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 "🎬 Building Secure, Well‑Architected Azure Workloads with Azure Verified Modules and GitHub Copilot | `Azure Verified Modules (AVM)`"
-    !!! info "Architectural Summary"
-        Azure Verified Modules (AVM) is the official Microsoft infrastructure-as-code module library for both Bicep and Terraform. This session explores how AVM standardizes deployments according to the Azure Well-Architected Framework by default, shipping with high-impact security defaults like zone redundancy and disabled public IPs. It introduces **Spec-Driven Development** with GitHub Copilot using the "Spec Kit" (an 8-step framework from constitution to implementation). By turning non-deterministic AI prompts into reliable, repeatable builds, architects can leverage AI as a trusted foundation for secure and compliant Azure workload orchestration.
-
-    <center markdown="1">
-
-    <iframe width="720" height="405" src="https://www.youtube.com/embed/QBqRAMVTmwE" title="Building Secure, Well‑Architected Azure Workloads with AVM" 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>
+    - [DevSecOps Security and Compliance](#devsecops-security-and-compliance)
+7. [AI and Future Operations](#ai-and-future-operations)
+    - [Red Hat OpenShift AI and Future Operations](#red-hat-openshift-ai-and-future-operations)
+    - [Generative AI and Large Language Models AI and Future Operations](#generative-ai-and-large-language-models-ai-and-future-operations)
+    - [Red Hat OpenShift AI AI and Future Operations](#red-hat-openshift-ai-ai-and-future-operations)
+    - [Neural Networks AI and Future Operations](#neural-networks-ai-and-future-operations)
+    - [Claude Code AI and Future Operations](#claude-code-ai-and-future-operations)
+    - [LLM Architecture and Post-Training AI and Future Operations](#llm-architecture-and-post-training-ai-and-future-operations)
+    - [Agentic DevOps AI and Future Operations](#agentic-devops-ai-and-future-operations)

 ## Fundamentals and Documentaries
+### Kubernetes Fundamentals and Documentaries
 ??? note "🎬 Kubernetes: The Documentary [PART 1] | `Kubernetes`"
    !!! info "Architectural Summary"
        This documentary chronicles the origin of Kubernetes from Google's internal cluster managers Borg and Omega, highlighting the pivotal architectural transition from virtual machines to containerized orchestration. Understanding this evolution is critical for modern cloud-native architects, as it reveals the foundational design patterns—such as the reconciliation loop, declarative APIs, and decoupled control planes—that continue to govern state-of-the-art distributed systems and platform engineering.
@@ -264,6 +64,7 @@ Welcome to the **Agentic Video Hub**. This section presents a logical, architect

    </center>

+### Jenkins Fundamentals and Documentaries
 ??? note "🎬 Jenkins Tutorials | `Jenkins`"
    !!! info "Architectural Summary"
        This comprehensive video series details core Jenkins CI/CD automation techniques, including Pipeline-as-Code implementations and system management best practices. In a 2026 cloud-native context, mastering Jenkins remains critical for orchestrating complex build pipelines, bridging the gap between legacy infrastructure and modern Kubernetes deployment targets. The tutorials provide foundational architectural patterns for establishing scalable, automated, and reproducible continuous integration workflows across distributed enterprise environments.
@@ -274,7 +75,205 @@ Welcome to the **Agentic Video Hub**. This section presents a logical, architect

    </center>

+## Architecture and Cloud Strategy
+### Kubernetes Architecture and Cloud Strategy
+??? note "🎬 Kubernetes for SysAdmins | Kelsey Hightower at PuppetConf | Talk & Demo | `Kubernetes`"
+    !!! info "Architectural Summary"
+        This seminal presentation outlines the paradigm shift from traditional imperative configuration management to declarative, container-orchestrated infrastructure by redefining the operating contract between applications and underlying systems. Viewed from a 2026 cloud-native perspective, Kelsey Hightower's early demonstrations of self-healing workloads, automated bin-packing, and custom controllers for automated TLS provisioning serve as the foundational blueprint for modern platform engineering. The architectural concepts covered—specifically decoupling stateful storage and leveraging native service discovery—remain highly relevant for engineers transitioning from static sysadmin practices to dynamic API-driven control loops.
+
+    <center markdown="1">
+
+    <iframe width="720" height="405" src="https://www.youtube.com/embed/HlAXp0-M6SY?clip=UgkxWpu3QFPEDZBuMgy_Xq4mBR--uLA-3CSZ&amp;clipt=EMSoKxiG3C4" title="Kubernetes for SysAdmins | Kelsey Hightower at PuppetConf | Talk & Demo" 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 "🎬 Keynote: 7 Years of Running Kubernetes for Mercedes-Benz | `Kubernetes`"
+    !!! info "Architectural Summary"
+        This architectural retrospective outlines Mercedes-Benz's transformation from legacy, manual infrastructure management to an on-premises, self-service cloud platform managing nearly 1,000 clusters via Cluster API (CAPI). In a 2026 cloud-native context, it demonstrates the vital patterns for scaling declarative cluster lifecycle management and shifting traditional enterprise operations toward platform engineering model. The session highlights how organizational resilience, open-source alignment, and robust automation topologies can successfully modernize highly regulated corporate data centers.
+
+    <center markdown="1">
+
+    <iframe width="720" height="405" src="https://www.youtube.com/embed/UmbjwSK9b3I?clip=UgkxRGuBMDAVDqKckQ1lhk-9U2jLBhBIBI5l&amp;clipt=EP2dHhjd8iE" title="Keynote: 7 Years of Running Kubernetes for Mercedes-Benz" 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 Architecture and Cloud Strategy
+??? note "🎬 Thursday morning general session - May 9 - Red Hat Summit 2019 | `Red Hat OpenShift`"
+    !!! info "Architectural Summary"
+        This session outlines the architectural deployment of Red Hat OpenShift as a unified hybrid cloud platform, demonstrating how enterprise Kubernetes orchestrates complex workloads across multi-cloud and edge environments. It highlights critical integrations with GPU acceleration and AI/ML pipelines, establishing a robust blueprint for modern MLOps and scalable cloud-native operations.
+
+    <center markdown="1">
+
+    <iframe width="720" height="405" src="https://www.youtube.com/embed/FUu4kMc0PL8?clip=UgkxFMdlFKBQze7NVVd7q2nIwBYWkeaKeoX8&amp;clipt=EIzBzwIY1fnSAg" title="Thursday morning general session - May 9 - Red Hat Summit 2019" 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 "🎬 Red Hat OpenShift Platform Plus - Overview | `Red Hat OpenShift`"
+    !!! info "Architectural Summary"
+        Red Hat OpenShift Platform Plus provides an enterprise-grade, multi-cluster Kubernetes foundation integrating advanced cluster management, declarative DevSecOps security, and a global container registry. In a 2026 cloud-native landscape, it delivers a unified platform engineering control plane that simplifies multi-cloud operations while enforcing consistent governance and security policies from core to edge. This suite accelerates secure software delivery pipelines by embedding automated compliance and threat protection directly into the application lifecycle.
+
+    <center markdown="1">
+
+    <iframe width="720" height="405" src="https://www.youtube.com/embed/V7PSnH8YnTk?si=6Mq4wjpipTLwUvYe" title="Red Hat OpenShift Platform Plus - Overview" 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>
+
+### Platform Engineering Architecture and Cloud Strategy
+??? note "🎬 What is Platform Engineering and how it fits into DevOps and Cloud world | `Platform Engineering`"
+    !!! info "Architectural Summary"
+        This video details the evolution of cloud operations into Platform Engineering, focusing on the architecture and implementation of Internal Developer Platforms (IDPs) to mitigate developer cognitive load. By establishing standardized 'golden paths' through Infrastructure as Code (IaC) and self-service APIs, organizations can balance developer autonomy with rigorous governance, security, and compliance. This paradigm shift optimizes resource provisioning and modernizes DevOps workflows for highly scalable, cloud-native environments.
+
+    <center markdown="1">
+
+    <iframe width="720" height="405" src="https://www.youtube.com/embed/ghzsBm8vOms" title="What is Platform Engineering and how it fits into DevOps and Cloud world" 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>
+
+### Ruby on Rails Architecture and Cloud Strategy
+??? note "🎬 David Heinemeier Hansson: Microservices vs. Monolith | `Ruby on Rails`"
+    !!! info "Architectural Summary"
+        In this discussion, David Heinemeier Hansson critiques the dogmatic adoption of microservices, highlighting how they introduce substantial operational complexity, network latency, and cognitive load compared to a well-structured monolith. He champions the 'Majestic Monolith' as a pattern that maximizes developer velocity and reduces organizational overhead by keeping the deployment domain unified. For modern cloud-native architectures, this perspective serves as a crucial counterweight to microservice fatigue, driving the industry toward highly-optimized modular monoliths that simplify infrastructure and cut cloud spend.
+
+    <center markdown="1">
+
+    <iframe width="720" height="405" src="https://www.youtube.com/embed/rkXGSLf-rVQ?si=Ho8Zzxbrecn7Yncb" title="David Heinemeier Hansson: Microservices vs. Monolith" 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>
+
+### Ruby on Rails / Hotwire Architecture and Cloud Strategy
+??? note "🎬 The creator of Rails on JavaScript FE vs. Classic Server-side Rendering | `Ruby on Rails / Hotwire`"
+    !!! info "Architectural Summary"
+        David Heinemeier Hansson critiques the complexity of modern Single Page Application (SPA) architectures, advocating instead for the 'Majestic Monolith' and HTML-over-the-wire (Hotwire) to keep application logic unified on the server. In a 2026 cloud-native context, this paradigm challenges the overhead of decoupled micro-frontends by proving that server-side rendering (SSR) combined with lightweight HTML streaming dramatically simplifies deployment pipelines, reduces client-side resource consumption, and lowers data egress costs. This architectural approach optimizes for operational efficiency, enabling smaller engineering teams to build highly responsive, production-grade applications without managing complex API contract synchronizations.
+
+    <center markdown="1">
+
+    <iframe width="720" height="405" src="https://www.youtube.com/embed/IFUPG9KCJ4E?si=KMEXeVlcKTp87-Ja" title="The creator of Rails on JavaScript FE vs. Classic Server-side Rendering" 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>
+
+### Portworx Architecture and Cloud Strategy
+??? note "🎬 Murli Thirumale | KubeCon CloudNativeCon EU 2023 | `Portworx`"
+    !!! info "Architectural Summary"
+        This discussion outlines how enterprise platform engineering teams leverage Portworx to deliver automated, resilient Database-as-a-Service (DBaaS) capabilities directly on Kubernetes. By abstracting multi-cloud storage, disaster recovery, and data security, it highlights architectural strategies essential for scaling stateful cloud-native workloads. For a 2026 cloud-native landscape, these unified data management planes are critical for mitigating multi-cloud lock-in, controlling cloud spend, and accelerating application delivery.
+
+    <center markdown="1">
+
+    <iframe width="720" height="405" src="https://www.youtube.com/embed/I8Qh-TafMvQ?si=1A2-kmq6mV-S-03c" title="Murli Thirumale | KubeCon CloudNativeCon EU 2023" 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>
+
+### HashiCorp Stack Terraform, Vault, Consul, Boundary Architecture and Cloud Strategy
+??? note "🎬 Building a developer platform? Ask these questions. | `HashiCorp Stack (Terraform, Vault, Consul, Boundary)`"
+    !!! info "Architectural Summary"
+        This session details how to build secure, scalable developer platforms by defining 'golden paths' using HashiCorp's suite of automation tools, including Terraform, Vault, Consul, and Boundary. It provides a strategic framework for resolving key platform engineering challenges such as Day 2 operations, infrastructure dependency mapping, secure access control, and seamless local-to-remote environment transitions. By abstracting cloud complexity, the session demonstrates how to deliver high-velocity self-service capabilities to development teams while ensuring governance and security compliance.
+
+    <center markdown="1">
+
+    <iframe width="720" height="405" src="https://www.youtube.com/embed/1Fl25dR01pw?si=bJlQozIfT3J4rhN3" title="Building a developer platform? Ask these questions." 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>
+
+### Modular Monoliths Architecture and Cloud Strategy
+??? note "🎬 ¿De verdad son necesarios los microservicios? | `Modular Monoliths [SPANISH CONTENT]`"
+    !!! info "Architectural Summary"
+        This video critically evaluates the over-engineering of distributed systems, examining whether the operational overhead, network latency, and complexity of microservices are justified for most projects. In a 2026 cloud-native landscape focusing heavily on cost optimization and developer velocity, it advocates for a pragmatic, domain-driven approach, highlighting modular monoliths as a powerful alternative before prematurely adopting microservices.
+
+    <center markdown="1">
+
+    <iframe width="720" height="405" src="https://www.youtube.com/embed/L8eJh1sfc1U?si=y546MyZpRe-thoad" title="¿De verdad son necesarios los microservicios?" 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>
+
+### Git Architecture and Cloud Strategy
+??? note "🎬 Branching Strategies Explained | `Git`"
+    !!! info "Architectural Summary"
+        This guide provides a comprehensive architectural evaluation of various Git branching strategies, including Trunk-Based Development, Feature Branches, Git Flow, and Environment Branches, weighing their impacts on delivery velocity. For a 2026 cloud-native landscape, it emphasizes how moving toward trunk-based development or short-lived feature branches is essential for optimizing continuous integration (CI) pipelines, minimizing integration debt, and enabling rapid, automated deployments to Kubernetes and cloud environments.
+
+    <center markdown="1">
+
+    <iframe width="720" height="405" src="https://www.youtube.com/embed/U_IFGpJDbeU?si=XzHSGU9dTH-1_0EW" title="Branching Strategies Explained" 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>
+
+### Azure DevOps and GitHub Actions Architecture and Cloud Strategy
+??? note "🎬 Panel: Azure DevOps vs. GitHub Actions | `Azure DevOps & GitHub Actions`"
+    !!! info "Architectural Summary"
+        This panel discussion provides a comprehensive architectural comparison between Azure DevOps and GitHub Actions, focusing on enterprise governance, extensibility, and CI/CD workflow migration strategies. It outlines decision frameworks for hybrid platform setups, highlighting how organizations can leverage GitHub Actions for modern cloud-native developer velocity while maintaining Azure DevOps for mature project management, test plans, and strict regulatory compliance. Essential for cloud architects planning long-term toolchain evolution, this session clarifies integration pathways and future-proof migration strategies.
+
+    <center markdown="1">
+
+    <iframe width="720" height="405" src="https://www.youtube.com/embed/8g4qLzkpjeE?si=xcfl3ugsMGZ8Kthg" title="Panel: Azure DevOps vs. GitHub Actions" 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>
+
+### Distributed Systems Strategy Architecture and Cloud Strategy
+??? note "🎬 Elon Musk talks Twitter, Tesla and how his brain works — live at TED2022 | `Distributed Systems Strategy`"
+    !!! info "Architectural Summary"
+        This systemic interview highlights architectural principles around open-sourcing core algorithms to enforce platform transparency and trust, directly paralleling modern GitOps, policy-as-code, and zero-trust verification frameworks in Cloud Native environments. Additionally, the insights on extreme manufacturing automation offer critical design lessons for 2026 edge computing, emphasizing the necessity of closed-loop automation, event-driven orchestration, and radical simplification of complex distributed infrastructures.
+
+    <center markdown="1">
+
+    <iframe width="720" height="405" src="https://www.youtube.com/embed/cdZZpaB2kDM?clip=UgkxWAPHZbVaNZzk9pi0lMu6k5ABLuMHBtRL&amp;clipt=EK2rfRjW9YAB" title="Elon Musk talks Twitter, Tesla and how his brain works — live at TED2022" 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>
+
+### FinOps Architecture and Cloud Strategy
+??? note "🎬 The Brutal Truth Behind Tech Layoffs | `FinOps`"
+    !!! info "Architectural Summary"
+        This analysis dissects the macroeconomic shift from hyper-growth talent hoarding to hyper-efficiency, highlighting the systemic collapse of bloated engineering teams in favor of lean, automated operations. For a 2026 cloud-native landscape, this underscores the critical role of platform engineering and robust FinOps architectures designed to maximize resource utilization while minimizing human-in-the-loop operational overhead. Architects must leverage these insights to build self-healing, highly automated platforms that successfully decouple organizational scale from headcount.
+
+    <center markdown="1">
+
+    <iframe width="720" height="405" src="https://www.youtube.com/embed/hAwtrJlBVJY?si=bnyptzNFx4jzOiEj" title="The Brutal Truth Behind Tech Layoffs" 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>
+
+### GitOps Architecture and Cloud Strategy
+??? note "🎬 GitOps Guide to the Galaxy | `GitOps`"
+    !!! info "Architectural 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.
+
+    <center markdown="1">
+
+    <iframe width="720" height="405" src="https://www.youtube.com/embed/videoseries?si=zdATyq_E2wXN7AC6&amp;list=PLbMP1JcGBmSGKO8UreWpOBOhCqilejhtd" title="GitOps Guide to the Galaxy" 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>
+
+### Hosted Control Planes Architecture and Cloud Strategy
+??? note "🎬 GitOps Guide to the Galaxy: Hosted Control Planes (HyperShift) | `Hosted Control Planes`"
+    !!! info "Architectural 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.
+
+    <center markdown="1">
+
+    <iframe width="720" height="405" src="https://www.youtube.com/embed/LiSb82Lug7M" title="GitOps Guide to the Galaxy: Hosted Control Planes (HyperShift)" 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>
+
+### Azure Verified Modules AVM Architecture and Cloud Strategy
+??? note "🎬 Building Secure, Well‑Architected Azure Workloads with Azure Verified Modules and GitHub Copilot | `Azure Verified Modules (AVM)`"
+    !!! info "Architectural Summary"
+        Azure Verified Modules (AVM) is the official Microsoft infrastructure-as-code module library for both Bicep and Terraform. This session explores how AVM standardizes deployments according to the Azure Well-Architected Framework by default, shipping with high-impact security defaults like zone redundancy and disabled public IPs. It introduces Spec-Driven Development with GitHub Copilot using the "Spec Kit" (an 8-step framework from constitution to implementation). By turning non-deterministic AI prompts into reliable, repeatable builds, architects can leverage AI as a trusted foundation for secure and compliant Azure workload orchestration.
+
+    <center markdown="1">
+
+    <iframe width="720" height="405" src="https://www.youtube.com/embed/QBqRAMVTmwE" title="Building Secure, Well‑Architected Azure Workloads with Azure Verified Modules and GitHub Copilot" 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>
+
+### OpenShift Architecture and Cloud Strategy
+??? note "🎬 Fran Heeran, Red Hat | Red Hat Summit 2026 | `OpenShift`"
+    !!! info "Architectural Summary"
+        In this Red Hat Summit 2026 interview, Fran Heeran details how telecommunications providers are shifting from heavily siloed infrastructure to unified cloud-native architectures. By leveraging OpenShift Virtualization, telcos can centrally manage both legacy virtual machines and modern containers across core networks and the far edge, accelerating deployments up to 50%. This unified architecture additionally enables sovereign cloud offerings and closed-loop network automation by feeding AI outputs directly into Ansible-driven remediation workflows.
+
+    <center markdown="1">
+
+    <iframe width="720" height="405" src="https://www.youtube.com/embed/Tr4onEST70I" title="Fran Heeran, Red Hat | Red Hat Summit 2026" 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>
+
 ## Infrastructure as Code
+### Terraform Enterprise Infrastructure as Code
 ??? note "🎬 Standardizing infrastructure automation with Terraform Enterprise | `Terraform Enterprise`"
    !!! info "Architectural Summary"
        This presentation details AXA Group's cloud migration strategy (ATLAS) utilizing Terraform Enterprise as the cornerstone of their multi-cloud and private IaaS migration factory. It highlights how a highly regulated financial enterprise standardizes infrastructure-as-code (IaC) practices across multiple global subsidiaries to accelerate cloud adoption while maintaining governance. For a 2026 cloud-native landscape, this case study provides key insights into scaling self-service provisioning, implementing policy-as-code, and automating multi-tenant enterprise architectures at massive scale.
@@ -285,6 +284,7 @@ Welcome to the **Agentic Video Hub**. This section presents a logical, architect

    </center>

+### NetBox Infrastructure as Code
 ??? note "🎬 NetBox Zero To Hero | `NetBox`"
    !!! info "Architectural Summary"
        NetBox serves as the foundational source of truth for modern network automation by integrating IP Address Management (IPAM) and Data Center Infrastructure Management (DCIM) into a unified database. In a 2026 Cloud Native ecosystem, it empowers Infrastructure as Code (IaC) pipelines to dynamically query and enforce intended network state via robust APIs, effectively eliminating configuration drift. This architectural approach bridges the gap between physical hardware tracking and automated, declarative network orchestration across complex hybrid environments.
@@ -295,7 +295,20 @@ Welcome to the **Agentic Video Hub**. This section presents a logical, architect

    </center>

+## Developer Productivity
+### VS Code Developer Productivity
+??? note "🎬 Remote VS Code with Dev Tunnels: access the editor from your browser | `VS Code [SPANISH CONTENT]`"
+    !!! info "Architectural Summary"
+        In this tutorial, Gisela Torres explains the architecture and application of VS Code Dev Tunnels to enable secure remote access to local development environments. Dev Tunnels establish a secure, encrypted connection to VS Code without requiring complex VPNs or firewall modifications, allowing developers to connect from any web browser or secondary editor instance. For 2026 developer productivity, this simplifies remote workspace orchestration and collaborative debugging in cloud-native platforms. [SPANISH CONTENT]
+
+    <center markdown="1">
+
+    <iframe width="720" height="405" src="https://www.youtube.com/embed/niuJpAKyb7c" title="Remote VS Code with Dev Tunnels: access the editor from your browser" 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>
+
 ## Observability and Monitoring
+### Prometheus Observability and Monitoring
 ??? note "🎬 Prometheus: The Documentary | `Prometheus`"
    !!! info "Architectural Summary"
        This documentary explores the architectural genesis of Prometheus at SoundCloud, detailing how the shift to microservices necessitated a fundamental pivot from host-based monitoring to a pull-based, multi-dimensional metric data model. In a 2026 cloud-native context, understanding these foundational design decisions—specifically the trade-offs of localized TSDB storage, HTTP pull mechanics, and PromQL—is vital for architecting self-healing, high-cardinality observability pipelines across distributed, edge, and hybrid-cloud environments.
@@ -307,6 +320,7 @@ Welcome to the **Agentic Video Hub**. This section presents a logical, architect
    </center>

 ## Security and Compliance
+### DevSecOps Security and Compliance
 ??? note "🎬 What is DevSecOps? DevSecOps explained in 8 Mins | `DevSecOps`"
    !!! info "Architectural Summary"
        This video details the transition from traditional, late-stage security audits to DevSecOps, explaining how shifting security left eliminates deployment bottlenecks in fast-paced delivery pipelines. It covers the automation of static analysis (SAST), software composition analysis (SCA), and container scanning directly within CI/CD workflows. In a 2026 cloud-native context, this paradigm is critical for securing ephemeral microservices and maintaining continuous compliance without sacrificing deployment velocity.
@@ -316,3 +330,81 @@ Welcome to the **Agentic Video Hub**. This section presents a logical, architect
    <iframe width="720" height="405" src="https://www.youtube.com/embed/nrhxNNH5lt0?si=U5h1mbkbF6ZEOvlj" title="What is DevSecOps? DevSecOps explained in 8 Mins" 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>
+
+## AI and Future Operations
+### Red Hat OpenShift AI and Future Operations
+??? note "🎬 Thursday morning general session - May 9 - Red Hat Summit 2019 | `Red Hat OpenShift`"
+    !!! info "Architectural Summary"
+        This session outlines the architectural enablement of cloud-native AI/ML workloads by integrating Red Hat OpenShift with NVIDIA GPU acceleration and automated MLOps platforms like H2O.ai and ProphetStor. It demonstrates how standardizing on a Kubernetes-based hybrid cloud substrate abstracts heterogeneous hardware environments, facilitating deterministic scaling, resource orchestration, and cognitive monitoring for high-performance AI pipelines. This unified operational model serves as a foundational blueprint for modern enterprise AI-platform engineering and edge computing architectures.
+
+    <center markdown="1">
+
+    <iframe width="720" height="405" src="https://www.youtube.com/embed/FUu4kMc0PL8?clip=UgkxLbUzIJtyeKPi66qAvxxRlGbofYp_Gr8B&amp;clipt=EIDy0gIY4MbWAg" title="Thursday morning general session - May 9 - Red Hat Summit 2019" 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>
+
+### Generative AI and Large Language Models AI and Future Operations
+??? note "🎬 Artificial Intelligence | 60 Minutes Full Episodes | `Generative AI and Large Language Models`"
+    !!! 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.
+
+    <center markdown="1">
+
+    <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>
+
+    </center>
+
+### Red Hat OpenShift AI AI and Future Operations
+??? note "🎬 Red Hat OpenShift AI overview | `Red Hat OpenShift AI`"
+    !!! info "Architectural Summary"
+        Red Hat OpenShift AI provides an enterprise-grade MLOps platform built on Kubernetes that standardizes the training, tuning, serving, and monitoring of foundation and predictive AI models across hybrid and multi-cloud environments. By integrating open-source frameworks like Jupyter, PyTorch, and KServe with certified hardware accelerators, it delivers a secure, consistent, and self-service environment for platform and data science teams. This architecture ensures robust AI governance, operational scalability, and accelerated time-to-market for intelligent cloud-native applications.
+
+    <center markdown="1">
+
+    <iframe width="720" height="405" src="https://www.youtube.com/embed/Hc8emNr2igU?si=kehLRUpOAvyK_Bku" title="Red Hat OpenShift AI overview" 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>
+
+### Neural Networks AI and Future Operations
+??? note "🎬 ¿Qué es una Red Neuronal? Parte 1 : La Neurona | DotCSV | `Neural Networks [SPANISH CONTENT]`"
+    !!! info "Architectural Summary"
+        This video deconstructs the foundational mathematical and algorithmic mechanics of a single artificial neuron, illustrating its direct relationship with linear regression, weights, biases, and activation functions. In a 2026 cloud-native landscape, mastering these core neural principles is critical for platform architects optimizing distributed micro-models and real-time AI inference engines deployed on Kubernetes-driven edge and cloud infrastructure. This granular understanding enables more efficient hardware acceleration profiling (GPUs/vGPUs/TPUs) and smarter resource allocation for decentralized machine learning pipelines.
+
+    <center markdown="1">
+
+    <iframe width="720" height="405" src="https://www.youtube.com/embed/MRIv2IwFTPg?si=F07g869i6yIfqRdg" title="¿Qué es una Red Neuronal? Parte 1 : La Neurona | DotCSV" 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>
+
+### Claude Code AI and Future Operations
+??? note "🎬 Mastering Claude Code in 30 minutes | `Claude Code`"
+    !!! 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.
+
+    <center markdown="1">
+
+    <iframe width="720" height="405" src="https://www.youtube.com/embed/6eBSHbLKuN0" title="Mastering Claude Code in 30 minutes" 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>
+
+### LLM Architecture and Post-Training AI and Future Operations
+??? note "🎬 Stanford CS229: Building Large Language Models (LLMs) | `LLM Architecture & Post-Training`"
+    !!! info "Architectural Summary"
+        This Stanford CS229 technical deep-dive deconstructs the transition from raw autoregressive language models to instruction-tuned assistants, focusing on the systems orchestration required for 2026 AI infrastructure. It explores critical patterns in tokenization (BPE/Sub-word), parameter-efficient fine-tuning (PEFT/LoRA), and the shift from RLHF to Direct Preference Optimization (DPO) to simplify model alignment pipelines. For cloud architects, the lecture provides a foundational framework for optimizing the "Compute-to-Token" ratio and managing memory constraints (KV Cache) in distributed distributed inference environments, while advocating for LLM-as-a-Judge automated evaluation loops for scalable model governance.
+
+    <center markdown="1">
+
+    <iframe width="720" height="405" src="https://www.youtube.com/embed/9vM4p9NN0Ts" title="Stanford CS229: Building Large Language Models (LLMs)" 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>
+
+### Agentic DevOps AI and Future Operations
+??? note "🎬 Agentic DevOps Live | `Agentic DevOps`"
+    !!! info "Architectural Summary"
+        This official live series explores the paradigm shift from traditional CI/CD pipelines to autonomous, agent-driven operations (Agentic DevOps). It covers technical deep-dives into Azure SRE Agents for automated root cause analysis and proactive reliability, GitHub Copilot App Mod Agents for modernizing legacy systems at scale, and AI-powered workflows across GitHub and Azure DevOps. Essential for platform engineers designing self-healing environments and scalable human-in-the-loop AI governance in 2026.
+
+    <center markdown="1">
+
+    <iframe width="720" height="405" src="https://www.youtube.com/embed/videoseries?list=PLmsFUfdnGr3w9BdWjQGAwV7UPW0kspwOp" title="Agentic DevOps Live" 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>
Author	SHA1	Message	Date
Inaki	81f4fc1abc	Merge pull request #271 from nubenetes/develop release: sync Agentic DevOps Live playlist (v2.3.10)	2026-05-27 19:15:10 +02:00
Inaki	b91130ca6b	Merge pull request #270 from nubenetes/bot/v2-video-agentic-devops feat(v2): add Agentic DevOps Live playlist with AI summary	2026-05-27 19:14:54 +02:00
Nubenetes Bot	e6beeb7f1c	feat(v2): add Agentic DevOps Live playlist with AI summary and bump version to 2.3.10	2026-05-27 19:14:20 +02:00
Nubenetes Bot	c73e2210ab	docs: automated README metric synchronization [skip ci]	2026-05-27 17:01:44 +00:00
Inaki	02f3ed4294	Merge pull request #269 from nubenetes/develop release: sync Spanish language tags in Video Hub	2026-05-27 19:01:10 +02:00
Inaki	2a43994399	Merge pull request #268 from nubenetes/bot/v2-video-lang-tags feat(v2): add language tags to Spanish videos in Video Hub	2026-05-27 19:00:56 +02:00
Nubenetes Bot	d56e1aaaa1	feat(v2): add language tags to Spanish videos in Video Hub	2026-05-27 19:00:37 +02:00
Nubenetes Bot	a4132a87f3	docs: automated README metric synchronization [skip ci]	2026-05-27 16:54:36 +00:00
Inaki	bf3ea9dd27	Merge pull request #267 from nubenetes/develop release: sync linter fix for unique video H3 headings	2026-05-27 18:54:11 +02:00
Inaki	6b441f105b	Merge pull request #266 from nubenetes/bot/v2-video-heading-linter-fix fix(v2): make H3 technology headers unique to resolve markdownlint errors	2026-05-27 18:53:56 +02:00
Nubenetes Bot	b647c93cd7	fix(v2): make H3 technology headers unique to resolve markdownlint errors	2026-05-27 18:53:40 +02:00
Nubenetes Bot	d46cd67ee4	docs: automated README metric synchronization [skip ci]	2026-05-27 16:51:15 +00:00
Inaki	8f063f918e	Merge pull request #265 from nubenetes/develop release: sync nested technology groupings in Video Hub	2026-05-27 18:50:53 +02:00
Inaki	070351b2b6	Merge pull request #264 from nubenetes/bot/v2-video-nested-grouping feat(v2): implement nested technology H3 groupings and update dynamic TOC in Video Hub	2026-05-27 18:50:38 +02:00
Nubenetes Bot	cc26293585	feat(v2): implement nested technology H3 groupings and update dynamic TOC in Video Hub	2026-05-27 18:50:18 +02:00
Nubenetes Bot	59e0036684	docs: automated README metric synchronization [skip ci]	2026-05-27 16:48:46 +00:00
Inaki	dcb078c535	Merge pull request #263 from nubenetes/develop release: sync logical Video Hub category ordering	2026-05-27 18:48:24 +02:00
Inaki	79e5477d9d	Merge pull request #262 from nubenetes/bot/v2-video-grouping feat(v2): organize Video Hub sections to follow O'Reilly learning flow	2026-05-27 18:48:08 +02:00
Nubenetes Bot	dc7e15b7de	feat(v2): regenerate videos.md with custom category order	2026-05-27 18:47:58 +02:00
Nubenetes Bot	681e2bb5d1	feat(v2): organize Video Hub sections to follow O'Reilly learning flow	2026-05-27 18:47:30 +02:00
Nubenetes Bot	f71e9734c7	feat: sync V2 elite curated edition and README metrics [skip ci]	2026-05-27 16:43:58 +00:00
Nubenetes Bot	3ce4a78f3f	docs: update Video Hub with high-fidelity metadata [skip ci]	2026-05-27 16:43:17 +00:00
Nubenetes Bot	ee1e366923	docs: automated README metric synchronization [skip ci]	2026-05-27 16:42:58 +00:00
Inaki	b5a684d65d	Merge pull request #261 from nubenetes/develop release: merge develop into master (v2.3.9)	2026-05-27 18:42:30 +02:00
Inaki	7bff0c8c67	Merge pull request #260 from nubenetes/bot/v2-video-devtunnels feat(v2): add VS Code Dev Tunnels video with AI summary	2026-05-27 18:42:16 +02:00
Nubenetes Bot	2f66b91b3c	feat(v2): add VS Code Dev Tunnels video with AI summary and bump version to 2.3.9	2026-05-27 18:41:59 +02:00
Inaki	98bfd93510	Merge pull request #259 from nubenetes/develop release: merge develop into master (v2.3.8)	2026-05-27 18:01:29 +02:00
Nubenetes Bot	24488e0590	docs: automated README metric synchronization [skip ci]	2026-05-27 15:58:08 +00:00
Nubenetes Bot	fb6bb126fe	docs: bump version to 2.3.8 and update changelog with Red Hat Summit video	2026-05-27 17:57:22 +02:00
Nubenetes Bot	7a88ec5d3e	feat: sync V2 elite curated edition and README metrics [skip ci]	2026-05-27 15:43:15 +00:00
Nubenetes Bot	1455ab2563	docs: automated README metric synchronization [skip ci]	2026-05-27 15:41:59 +00:00
Nubenetes Bot	24faee332b	feat(v2): add Fran Heeran Red Hat Summit 2026 video with AI summary	2026-05-27 17:41:14 +02:00
Nubenetes Bot	e539b925a1	feat(v2): add Fran Heeran Red Hat Summit 2026 video with AI summary	2026-05-27 17:36:54 +02:00
Inaki	39f5405e49	Merge pull request #258 from nubenetes/dependabot/pip/python-dependencies-bbe7c3f25b chore(deps): bump the python-dependencies group with 3 updates	2026-05-27 13:45:21 +02:00
dependabot[bot]	5e80465f27	chore(deps): bump the python-dependencies group with 3 updates Updates the requirements on [mkdocs-material](https://github.com/squidfunk/mkdocs-material), [pymdown-extensions](https://github.com/facelessuser/pymdown-extensions) and [mkdocs-redirects](https://github.com/ProperDocs/properdocs-redirects) to permit the latest version. Updates `mkdocs-material` to 9.7.6 - [Release notes](https://github.com/squidfunk/mkdocs-material/releases) - [Changelog](https://github.com/squidfunk/mkdocs-material/blob/master/CHANGELOG) - [Commits](https://github.com/squidfunk/mkdocs-material/compare/9.5.0...9.7.6) Updates `pymdown-extensions` to 10.21.3 - [Release notes](https://github.com/facelessuser/pymdown-extensions/releases) - [Commits](https://github.com/facelessuser/pymdown-extensions/compare/10.8.1...10.21.3) Updates `mkdocs-redirects` to 1.2.3 - [Release notes](https://github.com/ProperDocs/properdocs-redirects/releases) - [Commits](https://github.com/ProperDocs/properdocs-redirects/compare/v1.2.0...v1.2.3) --- updated-dependencies: - dependency-name: mkdocs-material dependency-version: 9.7.6 dependency-type: direct:production dependency-group: python-dependencies - dependency-name: pymdown-extensions dependency-version: 10.21.3 dependency-type: direct:production dependency-group: python-dependencies - dependency-name: mkdocs-redirects dependency-version: 1.2.3 dependency-type: direct:production dependency-group: python-dependencies ... Signed-off-by: dependabot[bot] <support@github.com>	2026-05-26 20:36:20 +00:00