Scaling Uber: Systems, Teams, and AI Engineering
Ex‑Uber CTO Thuan Pham on scaling systems, microservices, platform teams, and using AI to transform software engineering.
Ex‑Uber CTO Thuan Pham on scaling systems, microservices, platform teams, and using AI to transform software engineering.
How to optimize MoE expert replication: an analysis of CRAFT, load balancing, and throughput growth without overspending GPU memory.
How an ML pipeline based on Amazon SageMaker accelerates training and reduces labeling costs in edge robots and distributed systems
Hybrid fronthaul planning in O-RAN: how to reduce TCO and ensure capacity in CF-mMIMO through a combination of fiber, mmWave, and FSO.
Osprey event engine: how real-time event processing and rule evaluation work under high load, and what architectural trade-offs are hidden within the system
Why the golden path platform fails during implementation: an analysis of errors, templates, and metrics that truly show results.
How LLM agents automate building-grid co-simulation through DAG and multi-agent orchestration, reducing errors and complexity in pipelines.
How to measure platform health through developer experience, adoption, and toil, not just observability and uptime.
Platform engineering with Policy as Code: how to embed governance in CI/CD and mitigate risks through CAPOC and automated policies.
The Italian blocking scheme Piracy Shield puts providers in a position to choose: violate network architecture or face fines. The conflict illustrates where regulation begins to influence infrastructure behavior.
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