QoS-aware autoscaling for distributed AI inference
QoS-aware autoscaling for AI inference: distributed scheduling with user devices, lower dedicated capacity, and better tail latency under growth
QoS-aware autoscaling for AI inference: distributed scheduling with user devices, lower dedicated capacity, and better tail latency under growth
FHIR and Kafka for wearable analytics: analysis of cloud-native architecture, FHIR normalization, low-latency ingestion, and clinical workloads
How AI agents are reshaping cloud security from shared infrastructure to isolation-first architecture. Explore workload isolation, Kubernetes sandboxing, SPIFFE identity, short-lived credentials, failure containment, and verifiable trust
Text2SQL caching for production: how SQL templates, embeddings, and entity extraction reduce latency, token cost, and load on the LLM without sacrificing accuracy
PTX Tensor Core GEMM on NVIDIA L4: why hand-written kernels help for INT8 and INT4, and why FP16 still favors WMMA
GPU LZ77 decoding on the H100: where serialization is hidden, why parsing matters more than copying, and the trade-offs involved in data addressability
Kueue migration at Netflix: how to replace CMB with a Kubernetes-native batch platform, maintain API parity, and improve resource utilization
CHERI memory safety in C/C++: how hardware architecture enhances pointer safety, isolation, and sharing without massive code rewriting
RAP in Spotify demonstrates how an external index on top of Parquet accelerates point queries in the data lake without copying data to serving databases
Netflix Service Topology: how the real-time service map maintains integrity under load, using backpressure, SSE, and three processing stages
Controls: ← → to move, ↑ to rotate, ↓ to drop.
Mobile: use buttons below.