Distributed systems problems — coordination, state management, failure recovery, and observability — recur across cloud infrastructure, durable execution, multi-agent AI, and formal verification research.

Kubernetes is the dominant container orchestration platform, providing the runtime foundation for modern cloud-native infrastructure, developer platforms, and AI inference workloads.

The engineering decisions that determine how software behaves under real load, covering durability, observability, testing discipline, performance constraints, and the operational costs of failure.

Software engineering spans craft, process, and judgment — how code is structured, tested, reviewed, deployed, and maintained — and the sources collected here collectively interrogate each layer as AI tooling reshapes who does what and why.

Systems design spans how components are structured, isolated, and coordinated to handle real-world complexity, covering tradeoffs in state management, failure recovery, module boundaries, and the diagrams used to communicate it all.