Lab

Books teach theory; systems are understood in practice.

This repository is a collection of hands-on labs, experiments, and small system builds used to explore distributed systems, platform engineering, hybrid cloud/edge architectures, and real-world failure modes.

The focus here is not polished products, but learning through building—testing assumptions, intentionally breaking systems, and understanding behavior under constraint rather than ideal conditions.

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What This Repo Is (and Is Not)

This is:

• A practical sandbox for platform and systems engineering
• A place to explore reliability, scalability, and failure
• Hands-on experimentation with cloud, edge, and real-time systems
• Incremental, evolving work with notes and tradeoffs captured

This is not:

• A tutorial repo
• A collection of copy-paste demos
• A single cohesive application
• Production-ready deliverables

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Lab Structure

Labs are organized by problem space, not tools.
Each lab is scoped, named clearly, and documented with intent.

lab/
├── cloud/
│   ├── k8s-gitops-argo-rollouts/
│   ├── multi-tenant-api-caching/
│   └── observability-prometheus-grafana/
│
├── edge/
│   ├── pi5-edge-node-failure-testing/
│   ├── intermittent-connectivity-simulation/
│   └── resource-constrained-workloads/
│
├── hybrid/
│   ├── edge-to-azure-control-plane/
│   ├── failover-and-recovery-patterns/
│   └── latency-aware-routing/
│
├── unreal-engine/
│   ├── ue5-cpp-engine-architecture-notes/
│   ├── memory-ownership-and-lifetimes/
│   └── real-time-simulation-constraints/
│
└── experiments/
    ├── caching-strategy-benchmarks/
    ├── retry-backoff-behavior/
    └── chaos-and-failure-injection/