Engineering Labs
Architecture references, applied research, and local engineering tools.
These pages connect engineering questions with upstream references, evaluation criteria and practical exercises. Research status and proposed tests are distinct from a published implementation or measured result.
Lab Sections
Choose architecture guidance, research questions, technology evaluations or a hands-on exercise.
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GCP, AWS and private-cloud references, with workload fit, controls and operational trade-offs to review before deployment.
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Applied research questions, simpler baselines and explicit evaluation criteria across cloud, data and AI systems.
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Recent upstream developments, adoption conditions and proposed tests across data, inference, agents and platforms.
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Local exercises for failure recovery, inference memory, SQL, SLO budgets and schema changes, without connecting to infrastructure.
Publication scope
Client code remains confidential. This site publishes technical notes, references and local teaching tools. An internal study or planned lab does not imply an available repository, release or production deployment.