1. Home
  2. Content Library
  3. Amazon Web Services
  4. Courses
  5. Using AWS X-Ray to monitor a Node.js App deployed with Docker containers

Using AWS X-Ray to monitor a Node.js App deployed with Docker containers

The course is part of these learning paths

Advanced Networking – Specialty Certification Preparation for AWS

course-steps 17 certification 1 lab-steps 6 quiz-steps 1

Serverless Computing on AWS for Developers

course-steps 10 certification 1 lab-steps 8

DevOps Engineer – Professional Certification Preparation for AWS

course-steps 16 certification 1 lab-steps 10 quiz-steps 2


Using AWS X-Ray to Monitor a Node.js App
Course Introduction2m 12s
Why AWS X-Ray?2m 22s
Introduction to the AWS X-Ray Service16m 35s
Using AWS X-Ray to Monitor a Node.js App Deployed With Docker Containers16m 31s
Conclusion1m 18s
Start course
Duration38m 58s


AWS X-Ray makes it possible for you to monitor, trace and visualize activity across multiple application touch points. 

 In this course we will:

Introduce the AWS X-Ray service and the functionality that it provides. 
Explain the functions of the AWS X-Ray service and how to use AWS X-Ray with other AWS services. 
Demonstrate how to use the AWS X-Ray Console - highlighting key areas such as the Service Map and Tracing windows.
Demonstrate how to implement a Docker based Node.js application using the AWS X-ray SDK.

This is an Intermediate level course aimed at AWS professionals looking to learn how to use this important new AWS service in real world deployments. 

The demo / build files for this course are available here 

About the Author

Learning paths3

Jeremy is a Cloud Researcher and Trainer at Cloud Academy where he specializes in developing technical training documentation for security, AI, and machine learning for both AWS and GCP cloud platforms.

He has a strong background in development and coding, and has been hacking with various languages, frameworks, and systems for the past 20+ years.

In recent times, Jeremy has been focused on Cloud, Security, AI, Machine Learning, DevOps, Infrastructure as Code, and CICD.

Jeremy holds professional certifications for both AWS and GCP platforms.

Covered topics

DevelopmentMonitoringAWSDevelopment for AWSMonitoring for AWSAWS X-RayDocker