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)
1
Section 1: Introduction to Monitoring and Amazon CloudWatch
5
Section 2: AWS Services and Amazon CloudWatch

Setting up custom dashboards and metrics for containers

Just like every other dashboard in CloudWatch, CloudWatch dashboards are usually generated automatically, when Container Insights has been activated. Be it Amazon ECS or Amazon EKS, CloudWatch dashboards are automatically generated that take note of the top relevant information of the cluster in which the Container Insights agent is actively running. It is also possible to create a custom dashboard from the logs that have been collected from the containers running within the cluster setup.

These dashboards can be generated and then added to a unified dashboard that contains information on not only the metrics from what Container Insights displays but also your custom metrics from your logs. An example could be creating a metric that counts the number of exceptions found in the applications logs, then creating a widget with a line graph based on that. The widget can then be attached to a unified dashboard that already has other...