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Azure Databricks Cookbook

You're reading from  Azure Databricks Cookbook

Product type Book
Published in Sep 2021
Publisher Packt
ISBN-13 9781789809718
Pages 452 pages
Edition 1st Edition
Languages
Authors (2):
Phani Raj Phani Raj
Profile icon Phani Raj
Vinod Jaiswal Vinod Jaiswal
Profile icon Vinod Jaiswal
View More author details

Table of Contents (12) Chapters

Preface 1. Chapter 1: Creating an Azure Databricks Service 2. Chapter 2: Reading and Writing Data from and to Various Azure Services and File Formats 3. Chapter 3: Understanding Spark Query Execution 4. Chapter 4: Working with Streaming Data 5. Chapter 5: Integrating with Azure Key Vault, App Configuration, and Log Analytics 6. Chapter 6: Exploring Delta Lake in Azure Databricks 7. Chapter 7: Implementing Near-Real-Time Analytics and Building a Modern Data Warehouse 8. Chapter 8: Databricks SQL 9. Chapter 9: DevOps Integrations and Implementing CI/CD for Azure Databricks 10. Chapter 10: Understanding Security and Monitoring in Azure Databricks 11. Other Books You May Enjoy

Using Ganglia reports for cluster health

Ganglia is one of the most popular cluster monitoring tools available. An Azure Databricks cluster's performance and health can be monitored using Ganglia. It is a scalable distributed monitoring system. Azure Databricks uses many clusters for operating in the backend, as well as for performing tasks, so it's very important to monitor the performance and health of the clusters for troubleshooting reasons, as well as to capture live metrics.

Getting ready

Before getting started, ensure you have completed Chapter 3, Understanding Spark Query Execution, where you learned how to create Azure Databricks jobs. In this recipe, we will run the Notebook and monitor the cluster utilization percentage (%) using the Ganglia UI.

How to do it…

Let's learn how to use the Ganglia UI to monitor Azure Databricks clusters by going through the following steps:

  1. Before checking the Ganglia UI, let's get the worker and...
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