ThecoreGrid Distributed sequence generation replaces database sequences at scale. It removes central bottlenecks while keeping compatibility with existing systems. The problem does not manifest immediately — until the organization attempts to transition from a relational database to a cloud-native storage solution. In this case, over a hundred services relied on database sequences for generating primary keys. … Read more
Multi-path GPU balancing eliminates network bottlenecks in clusters. An analysis of NIMBLE and its impact on throughput and latency. –>
GitOps policy for Kubernetes becomes manageable when enforcement is built into the delivery pipeline. The combination of Kyverno and Argo CD bridges this gap at the admission level.
SKID identifiers: how to combine sortability, security, and zero-lookup verification in distributed systems without dual keys. –>
LLM Infrastructure, Disaggregation, Distributed Systems, GPU Clusters, Network Anomalies, Serverless, AI Agents
LLM evaluation at scale on Apache Spark: how the distributed architecture, caching, and statistical validation of models are structured.
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.
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