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Infrastructure Monitoring with Amazon CloudWatch

Infrastructure Monitoring with Amazon CloudWatch

By : Diagboya
5 (8)
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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)
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1
Section 1: Introduction to Monitoring and Amazon CloudWatch
5
Section 2: AWS Services and Amazon CloudWatch

Monitoring AWS Batch

AWS Batch is a managed service that is used for running huge batch jobs. It is designed to help eliminate the cost that goes with configuring and setting up your own batch processing infrastructure. With AWS Batch, you configure the job, and the compute required the run the job, and the rest is history. AWS Batch can be used to run hundreds to thousands of parallel jobs.

The underlying infrastructure of AWS Batch is AWS compute resources (EC2 and containers). The compute resources used to process batch jobs range from EC2 instances to AWS Fargate (serverless containers). So, the monitoring for the EC2 instances that we already explained previously in this chapter will also apply to EC2 instances used for batch processing. As regards AWS Fargate, we will explain this more in Chapter 5, Setting Up Container Insights on Amazon CloudWatch, when we talk about the monitoring of containers.

In AWS Batch, there are different components that make up a batch processing...

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