Monitoring, Logging, and Cost Management in Azure Databricks

Managing Databricks performance and costs is crucial for scalable analytics. This course will teach you how to monitor, log, and optimize Azure Databricks environments using Azure Monitor, analytics, and automation tools for optimizing operations.

What you'll learn

Managing performance, monitoring, and controlling costs in Azure Databricks can be complex, especially at scale.

In this course, Monitoring, Logging, and Cost Management in Azure Databricks, you’ll learn to optimize Databricks environments for stability, efficiency, and cost-effectiveness.

First, you’ll explore how to enable and use Azure Monitor and Azure Log Analytics to track performance and troubleshoot issues.

Next, you’ll discover how to tune Spark jobs and clusters for better performance, using autoscaling, instance pools, and Spark configuration tuning.

Finally, you’ll learn how to manage and reduce costs using built-in Databricks tools, Azure Cost Management, and automation techniques for cleanup and reporting.

When you’re finished with this course, you’ll have the skills and knowledge of Azure Databricks monitoring and cost management needed to maintain high-performing, cost-efficient, and well-instrumented big data solutions.