14 articles tagged #observability in AI Dev Insider
Showing 14 posts tagged #observability
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AWS SageMaker AI endpoints now offer configurable metrics publishing with granular frequency control. Here's what it means for your production ML observability strategy.

Prefect's latest dev release adds event emission for deployment operations, giving operators real-time visibility into create, update, and delete actions across workflows.

Windmill adds OpenTelemetry metrics support, enabling builders to integrate native observability into workflow platforms without custom instrumentation.

AWS SageMaker AI endpoints now offer configurable metrics publishing with granular visibility. Here's what this means for your production ML monitoring strategy.

Braintrust's latest SDK release adds native Agent tool call tracing and experiment parameter persistence, reducing debugging friction for AI SDK users.

Windmill v1.661.0 introduces OpenTelemetry metrics support, enabling standardized observability across your workflow infrastructure. Here's what changed and why it matters for your setup.

Windmill v1.661.0 introduces OTel metrics support, giving operators native observability into workflow performance and infrastructure health. Here's what changed and why it matters.

Prefect adds granular workflow visibility with Submitting and InfrastructurePending states, plus OS-level resource metrics for subprocess flows.

AWS released two critical CloudWatch metrics for Bedrock inference workloads. Builders can now measure time-to-first-token and quota consumption in production - essential for capacity planning.

OpenTelemetry graduates from experimental to stable in Airflow 3.1.8. Builders can now instrument DAGs with production-grade observability without worrying about breaking changes.

OpenTelemetry observability in Apache Airflow is no longer experimental. Stable support in 2.11.2 means you can now confidently instrument production pipelines with standardized telemetry.

Galileo releases an open source Control Plane for AI agents, addressing the enterprise governance gap. Builders can now implement deep observability and control without vendor lock-in.
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