Book Image

Infrastructure Monitoring with Amazon CloudWatch

By : Ewere Diagboya
Book Image

Infrastructure Monitoring with Amazon CloudWatch

By: Ewere 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)
Section 1: Introduction to Monitoring and Amazon CloudWatch
Section 2: AWS Services and Amazon CloudWatch

Introduction to big data

Man has been generating data for quite a long time. The method of storing data has changed from physical to electronic. But as the method of storing data changes, man still continues to store data in different forms and tell stories in different ways, across different geographies, cultures, beliefs, and traditions. From words to symbols and figures to represent data, we have been storing information for thousands of years. We usually only used to reference this data in the future if we needed to go back to something or validate something that we had stored in the past. It could also be used to gain a knowledge of things in the past. But storing data was done for various reasons.

Just before the digital age arrived, we started seeing this data life cycle in another light. Mathematicians could take numbers and data and create some interesting interpretations and draw interesting perceptions based on the data collected and how it is represented. Fast-forward...