Feb 24
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Discover how to engineer a production-grade Internal Developer Platform (IDP) with GitOps, Crossplane, and vCluster, entirely on your 8GB laptop – a true test of engineering mastery over spending. This comprehensive course, "Architecting Enterprise Platforms on Local Systems," challenges conventional cloud-native approaches by forcing you to optimize a full-stack platform for constrained memory budgets, mimicking real enterprise FinOps environments. Unlike typical courses relying on unlimited cloud resources, we simulate the friction, resource contention, and architectural trade-offs of massive systems directly on your machine. You'll build The Nano-IDP, a multi-tenant platform featuring a tuned K3d cluster with Cilium eBPF networking, an ArgoCD-driven GitOps engine optimized for low-memory, a Crossplane implementation delivering "Infrastructure as Data" with Python logic, and hard isolation via vCluster ephemeral virtual clusters. A bespoke Python (FastAPI) and React Developer Portal replaces heavy off-the-shelf tools, ensuring efficiency. We even integrate self-healing and chaos engineering with Chaos Mesh to build resilience. This course is designed for Platform Engineers seeking to move beyond installing tools, Python/React Developers aiming for Platform Engineering, SREs needing to understand system internals, Software Architects prioritizing cost and efficiency, and Students/Fresh Grads building a portfolio of practical system design. What makes this course different? The strict 8GB Constraint forces deep optimization of JVM heaps and control plane memory, providing critical Cost Awareness for FinOps. Every lesson involves Everyday Code with tangible commits, not just slides. We shun "Black Box" managed services, building glue logic with Python and eBPF. Expect Failure-Driven learning: we'll intentionally break things with Chaos Mesh (e.g., network latency, OOM events) so you master debugging. Key topics include: Advanced Kubernetes (K3d internals, eBPF, API server tuning), GitOps Patterns (ArgoCD, sync waves), Infrastructure as Data (Crossplane, Python Composition Functions), Multi-Tenancy (vCluster, Kyverno), Progressive Delivery (Argo Rollouts, Blue/Green, Canary), and Portal Engineering (FastAPI, React). Prerequisites: An 8GB RAM computer (4GB Swap), Docker Desktop (or Rancher Desktop), VS Code, basic Python, and comfort with CLI/JSON/YAML. Move beyond spending; become a true engineer. #PlatformEngineering #Kubernetes #K8s #GitOps #Crossplane #vCluster #FastAPI #React #DevOps #SRE #LocalDevelopment #8GBLaptop #IDP #InternalDeveloperPlatform #FinOps #eBPF #Cilium #ArgoCD #SoftwareArchitecture #CloudNative