Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Infrastructure Monitoring with Amazon CloudWatch
  • Table Of Contents Toc
  • Feedback & Rating feedback
Infrastructure Monitoring with Amazon CloudWatch

Infrastructure Monitoring with Amazon CloudWatch

By : Diagboya
5 (8)
close
close
Infrastructure Monitoring with Amazon CloudWatch

Infrastructure Monitoring with Amazon CloudWatch

5 (8)
By: Diagboya

Overview of this book

CloudWatch is Amazon’s monitoring and observability service, designed to help those in the IT industry who are interested in optimizing resource utilization, visualizing operational health, and eventually increasing infrastructure performance. This book helps IT administrators, DevOps engineers, network engineers, and solutions architects to make optimum use of this cloud service for effective infrastructure productivity. You’ll start with a brief introduction to monitoring and Amazon CloudWatch and its core functionalities. Next, you’ll get to grips with CloudWatch features and their usability. Once the book has helped you develop your foundational knowledge of CloudWatch, you’ll be able to build your practical skills in monitoring and alerting various Amazon Web Services, such as EC2, EBS, RDS, ECS, EKS, DynamoDB, AWS Lambda, and ELB, with the help of real-world use cases. As you progress, you'll also learn how to use CloudWatch to detect anomalous behavior, set alarms, visualize logs and metrics, define automated actions, and rapidly troubleshoot issues. Finally, the book will take you through monitoring AWS billing and costs. By the end of this book, you'll be capable of making decisions that enhance your infrastructure performance and maintain it at its peak.
Table of Contents (16 chapters)
close
close
1
Section 1: Introduction to Monitoring and Amazon CloudWatch
5
Section 2: AWS Services and Amazon CloudWatch

Summary

The concept of big data is continually expanding in conjunction with data engineering. We have spent time explaining what big data is and the different aspects of big data, as well as how these aspects intertwine, from the role of a data engineer who helps to sanitize data and make it more friendly and usable by business intelligence experts, to that of data scientists, machine learning engineers, data analysts, and more. Understanding the process of making this data clean is important and monitoring plays a key role in that. We also explained the concept of ETL, which is one of the fundamental concepts of data engineering. Then, we talked about the AWS tools that are used for ETL work: Kinesis for extraction, Glue for transformation, and S3, where the data is stored or loaded.

Lastly, we introduced one important aspect of monitoring in the AWS ecosystem, which is AWS CloudTrail. We then moved on to explain the importance of CloudTrail, how to use the CloudTrail console...

Unlock full access

Continue reading for free

A Packt free trial gives you instant online access to our library of over 7000 practical eBooks and videos, constantly updated with the latest in tech

Create a Note

Modal Close icon
You need to login to use this feature.
notes
bookmark search playlist download font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete

Delete Note

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete

Edit Note

Modal Close icon
Write a note (max 255 characters)
Cancel
Update Note

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY