Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Infrastructure Monitoring with Amazon CloudWatch

You're reading from   Infrastructure Monitoring with Amazon CloudWatch Effectively optimize resource allocation, detect anomalies, and set automated actions on AWS

Arrow left icon
Product type Paperback
Published in Apr 2021
Publisher Packt
ISBN-13 9781800566057
Length 314 pages
Edition 1st Edition
Arrow right icon
Author (1):
Arrow left icon
Ewere Diagboya Ewere Diagboya
Author Profile Icon Ewere Diagboya
Ewere Diagboya
Arrow right icon
View More author details
Toc

Table of Contents (16) Chapters Close

Preface 1. Section 1: Introduction to Monitoring and Amazon CloudWatch
2. Chapter 1: Introduction to Monitoring FREE CHAPTER 3. Chapter 2: CloudWatch Events and Alarms 4. Chapter 3: CloudWatch Logs, Metrics, and Dashboards 5. Section 2: AWS Services and Amazon CloudWatch
6. Chapter 4: Monitoring AWS Compute Services 7. Chapter 5: Setting Up Container Insights on Amazon CloudWatch 8. Chapter 6: Performance Insights for Database Services 9. Chapter 7: Monitoring Serverless Applications 10. Chapter 8: Using CloudWatch for Maintaining Highly Available Big Data Services 11. Chapter 9: Monitoring Storage Services with Amazon CloudWatch 12. Chapter 10: Monitoring Network Services 13. Chapter 11: Best Practices and Conclusion 14. Assessments 15. Other Books You May Enjoy

Monitoring AWS Glue jobs with CloudWatch alarms

AWS Glue is a serverless service used to perform ETL operations in AWS. Glue connects to multiple data sources to retrieve and transform data into different structures and formats. AWS Glue is easy to use and makes it faster to perform a transformation using Python or Scala, which are the two main options within Glue. Glue also has a very deep integration with Athena. The tables in Athena can be read within Glue and used for further ETL processes.

We shall do a simple example of transforming the data we queried previously in Athena: using a CloudTrail trail. We will create a Glue job that transforms the original data, compresses it to a different data format (Parquet), and writes it to another S3 bucket. Then, we can see the logs and activities and the different metrics used to measure the success or failure of a Glue job. These are the steps to create a Glue job:

  1. Navigate to Services | Glue in the AWS management console.
  2. ...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image