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This directory contains common code and DABs to deploy observability ETL and dashboards for Databricks ingestion projects. The goal is to provide an example and a starting point for building ingestion observability across pipelines and datasets.

In particular, the package provides:

  • Tools to ETL observability data from a variety of sources such as SDP event log, Auto Loader cloud_file_states, system tables and other.
  • Tag-based pipeline discovery: Specify pipelines to monitor using flexible tag expressions with OR-of-ANDs logic (e.g., "tier:T0;team:data,tier:T1") instead of maintaining lists of pipeline IDs
  • Build a collection of observability tables on top of the above data using the medallion architecture.
  • Provide out-of-the-box AI/BI Dashboards based on the above observability tables
  • Code and examples to integrate the observability tables with third-party monitoring providers such as Datadog, New Relic, Azure Monitor, Splunk

Currently Generic SDP pipelines and Lakeflow CDC Connector pipelines are supported.

import sys
import logging

sys.path.append("../../lib")
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Honestly, it's a bit too much magic IMO. This way one can execute the notebook manually too.

@@ -0,0 +1,60 @@
{
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This folder is a bit odd to me, it is called jobs but has notebooks? Should this live in an src directory of one of the DABs projects?

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This folder contains notebooks used by the shared jobs in resources/.

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2 participants