{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Data Science Tech Brief By HackerNoon","title":"This Is How Observability Starts - With Modeling Pipeline Runs","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/80b03f84\"></iframe>","width":"100%","height":180,"duration":380,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/this-is-how-observability-starts-with-modeling-pipeline-runs.\nLearn why modeling pipeline runs as first-class entities is the missing foundation for reliable observability in ETL and data processing systems.\nCheck more stories related to data-science at: https://hackernoon.com/c/data-science.\n            You can also check exclusive content about #data-engineering, #data, #observability, #python, #etl, #software-architecture, #software-engineering, #modeling-pipeline,  and more.\nThis story was written by: @emotta. Learn more about this writer by checking @emotta's about page,\n            and for more stories, please visit hackernoon.com.\nMost data pipelines treat observability as an afterthought, relying on logs, metrics, and traces that lack business context. This article argues that observability starts much earlier: by explicitly modeling each pipeline run as a first-class entity.","thumbnail_url":"https://img.transistorcdn.com/8VxAgS1Ll3FJEERcAdhFdqqXJMnE7OfD2RUvrjauLt0/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMjY4LzE2ODM1/ODI1ODUtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}