Engineering-focused coverage of ML observability and MLOps. Model monitoring, drift detection, training/serving skew, debugging production model failures, evaluation pipelines, and the tooling that actually works at scale.https://sentryml.com/enhttps://sentryml.com/posts/bridging-the-ai-agent-authority-gap-continuous-observability/https://sentryml.com/posts/bridging-the-ai-agent-authority-gap-continuous-observability/A new framing of AI agent risk argues that delegation, not identity, is the missing telemetry. ML platform teams already have the substrate to fix it.Sun, 03 May 2026 00:00:00 GMTagentsobservabilitymlopstelemetrygovernanceSentryML Editorialhttps://sentryml.com/posts/welcome/https://sentryml.com/posts/welcome/SentryML covers ML observability and MLOps from a production-engineering perspective. Here's what we publish.Sat, 02 May 2026 00:00:00 GMTmetaSentryML Editorial