Datadog Synthetic Monitoring provides automated, simulated user journeys to proactively confirm the health and performance of websites and APIs, helping detect issues before users experience them. Integrating this into our Azure DevOps pipeline ensures that only builds where core site functionality is verified get promoted, reducing the risk of regressions in production. This approach is […]
Posts Tagged ‘data pipelines’
Mastering Databricks Jobs API: Build and Orchestrate Complex Data Pipelines
In this post, we’ll dive into orchestrating data pipelines with the Databricks Jobs API, empowering you to automate, monitor, and scale workflows seamlessly within the Databricks platform. Why Orchestrate with Databricks Jobs API? When data pipelines become complex involving multiple steps—like running notebooks, updating Delta tables, or training machine learning models—you need a reliable way […]