As Kubernetes deployments expand across hybrid and multicloud environments, permanently provisioned infrastructure becomes an expensive default. Here's how scale-from-zero aligns capacity with actual demand instead of worst-case scenarios.
The Model Context Protocol has evolved to be entirely stateless over HTTP, removing complex session bottlenecks. Pairing this update with cloud-native Java, Quarkus!
Cloud cost optimization was hard because cloud made infrastructure consumption easy; AI cost optimization will be worse because AI makes decision consumption easy.
Azure Databricks and Microsoft Fabric overlap, but they're built for different priorities. Databricks for data engineering, ML, open-source, and Spark workloads.
A practical guide to feature engineering at scale with Azure Databricks, covering distributed data processing with Spark and reliable storage with Delta Lake.
AI infrastructure isn’t about GPUs. Most issues come from storage, networking, data pipelines. If GPU utilization is low, check the infrastructure first, not the model.