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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

Introduction to serverless

As much as it is a buzzword, the term serverless has been used in more ways than you can imagine. But what is serverless? Why would anyone want to go serverless? Before we talk about something being serverless, let's understand what a server is. In Chapter 4, Monitoring AWS Compute Services, we talked about monitoring compute services, so an example of a server is an EC2 instance. In the EC2 scenario, you will be in charge of performing operating system updates, security patches, network security, scaling of applications deployed in EC2 instances, and every other operation you need to perform to keep the application up and running.

What serverless means is that you do not have to worry about all the operational work involved in managing the server. In serverless computing, you focus only on the application that has been built and deployed. You do not have to worry about scaling the server; the serverless design performs the scaling based on the...

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