35 KiB
🎥 Nubenetes Elite Video Hub
Welcome to the Agentic Video Hub. This section presents a logical, architectural journey through the Cloud Native landscape, from foundational documentaries to advanced AI operations.
Table of Contents
- AI and Future Operations
- Architecture and Cloud Strategy
- Fundamentals and Documentaries
- Infrastructure as Code
- Observability and Monitoring
- 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">
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</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>
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??? 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.
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<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>
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??? 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.
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<iframe width="720" height="405" src="https://www.youtube.com/embed/HlAXp0-M6SY?clip=UgkxWpu3QFPEDZBuMgy_Xq4mBR--uLA-3CSZ&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&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&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>
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??? 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>
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??? 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">
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</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">
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</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>
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??? 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">
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</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>
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??? 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>
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.
<center markdown="1">
<iframe width="720" height="405" src="https://www.youtube.com/embed/BE77h7dmoQU" title="Kubernetes: The Documentary [PART 1]" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen loading="lazy" style="border: 1px solid var(--md-typeset-table-color); border-radius: 8px;"></iframe>
</center>
??? note "🎬 Kubernetes: The Documentary [PART 2] | Kubernetes"
!!! info "Architectural Summary"
This documentary details the pivotal technical evolution and open governance model that led Kubernetes to win the container orchestration wars over competitors like Docker Swarm and Mesos. For a 2026 Cloud Native context, it underscores the enduring value of design principles like declarative APIs, reconciliation control loops, and pluggable interfaces (CNI, CRI, CSI) that define modern platform engineering. Understanding these foundational decisions allows architects to better design scalable, vendor-neutral control planes for complex multi-cloud environments.
<center markdown="1">
<iframe width="720" height="405" src="https://www.youtube.com/embed/318elIq37PE" title="Kubernetes: The Documentary [PART 2]" 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 "🎬 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.
<center markdown="1">
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</center>
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.
<center markdown="1">
<iframe width="720" height="405" src="https://www.youtube.com/embed/PxyyY7TsCqs?si=kzCRojDteESqork1" title="Standardizing infrastructure automation with Terraform Enterprise" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen loading="lazy" style="border: 1px solid var(--md-typeset-table-color); border-radius: 8px;"></iframe>
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??? 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.
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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.
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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.
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