MLOps
9 pieces on MLOps, including 1 step-by-step guide.
Guides
News & Analysis
SageMaker Feature Store's UpdateRecord Ends Read-Modify-Write Cycles
AWS ships UpdateRecord for SageMaker Feature Store: atomic partial writes on up to 100 features, no GetRecord required, available in all regions today.
Chunked Prefill Beats Disaggregation Below 1,000 GPUs
Every major inference framework now ships prefill-decode disaggregation — but for most teams it's the wrong default, and chunked prefill is the safer fix.
Five MLOps Assumptions That Silently Pass Failed Agent Runs
MLOps monitoring reports healthy on runs that failed. Here are the five structural assumptions that break when a model starts calling tools.
Salesforce Gets Multi-AZ HA on SageMaker With SchedulingConfig
Salesforce's 50+ production models needed 2-AZ compliance. SageMaker's new SchedulingConfig parameter closes the gap without surrendering GPU cost efficiency.
Deepgram Brings Billing-Accurate Metrics to SageMaker AI Endpoints
Deepgram's Enhanced Metrics push billing and engine-level signals into CloudWatch via EMF stdout — no agent, sidecar, or relaxed network isolation required.
SageMaker SDK v3 Replaces Dozen Estimator Classes With Two Primitives
AWS shipped SageMaker Python SDK v3 on 26 Aug 2026, collapsing framework-specific estimators into ModelTrainer and ModelBuilder with runtime code injection.
SageMaker HyperPod Gets Managed Ray on EKS, Replacing Manual Kubectl Setup
AWS launches managed Ray integration for SageMaker HyperPod on EKS, replacing manual YAML, port-forwarding, and Grafana setup with a console-driven workflow.
What the Agentic Era Means for Data Science Teams
Data science is shifting from model-centric experimentation to agent-centric systems that plan, act, and continuously learn inside production workflows.