Posts

All the articles I've posted.

• 13 MIN READ•May 24, 2026

  Bringing MLflow and Data Pipelines Closer Together

  MLflow 3 extends observability from classic ML experiments to GenAI tracing and data pipeline lineage. Learn how to connect data quality monitoring with model performance tracking.

  Mlflow Data Pipeline ObservabilityMlflow 3 Genai TracingMlflow Data Quality Monitoring
• 14 MIN READ•May 24, 2026

  Modern Feature Stores Beyond Batch Pipelines

  Feature stores like Feast now support streaming feature views from Kafka and Kinesis alongside batch pipelines. Learn how to build real-time features that maintain training-serving consistency.

  Feature Store Streaming Real-Time MlFeast Streaming FeaturesOnline Offline Feature Store
• 12 MIN READ•May 24, 2026

  OpenLineage as the Spine of Data Observability

  OpenLineage provides a standard API for collecting pipeline lineage across Airflow, Spark, Flink, and dbt. Learn how it powers blast radius analysis and incident triage.

  Openlineage Data ObservabilityOpenlineage AirflowOpenlineage Spark