How Meta Rebuilt Data Ingestion for Petabyte-Scale Reliability
The engineering team at Meta recently outlined how the company migrated a data ingestion platform that transfers several petabytes of MySQL social gra…
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Presentation: Realtime and Batch Processing of GPU Workloads
Joseph Stein discusses engineering an enterprise AI-as-a-Service platform within a private cloud data center. He explains how to maximize underutilize…
Presentation: The AI Gateway: Scaling Centralized Inference Across Decentralized Teams
Meryem Arik discusses why modern engineering teams face "inference chaos" and how AI model gateways provide a critical control layer. She explains the…
Cloudflare Introduces Workflows V2 with Deterministic Execution and 50K Concurrent Workflows
Cloudflare introduces Workflows V2, a redesigned distributed workflow orchestration system with deterministic replayable execution, improved observabi…
Presentation: Using AI as a Thinking Partner for Large-Scale Engineering Systems
Julie Qiu explains how AI serves as a "thinking partner" for engineering leaders. She discusses five distinct roles - Archaeologist, Experimenter, Cri…
Mini book: Architecting Autonomy: Decentralising Architecture Inside an Organization
As AI accelerates delivery cycles, traditional centralized architecture becomes a bottleneck. This eMag brings together practitioner insights on decen…
Applying Best Simple System for Now for Software Design
Choosing between building up technical debt and missing delivery deadlines is a false dichotomy, Daniel Terhorst-North argued in his talk Best Simple …
Presentation: The Human Scalability Problem: Why Your Teams Don’t Scale Like Your Code
Charlotte de Jong Schouwenburg discusses the "human bottlenecks" of hyper-growth. While systems scale, human cooperation often breaks down due to comm…