Amazon CloudWatch in 60 Minutes: Monitor your AWS resources

Learn from industry-leading DevOps and Cloud Engineers at Releaseworks:

In the next 60 minutes, you will learn the core features of CloudWatch like Metrics, Logs, Events, Alarms, ServiceLens and Synthetics, and how to use them in practice. We will also cover the basic usage of the CloudWatch API with Python and the Boto3 library.

Amazon Web Services, or AWS, is the leading cloud platform in the world. Amazon CloudWatch is the native monitoring and log aggregation platform in AWS. Amazon CloudWatch enables you to monitor both infrastructure and applications running in AWS and provides a multitude of useful features to gather, analyze, and visualize operational data.

Amazon CloudWatch Fundamentals includes 8 labs to help you practice along with the instructor, and learn by doing.

This course will teach you how to create monitoring dashboards for your AWS resources, and configure alarms when there is an issue that needs your attention. We will walk you through using ServiceLens to monitor the health of your applications beneath the surface, and creating canary scripts with CloudWatch Synthetics to enable better monitoring of your application and API endpoints.

To help you take your knowledge to the next level, we will also teach you how to use simple Python scripts to integrate with the open CloudWatch API for reading data and sending Custom Metrics into Amazon CloudWatch.

Finally, we will teach you the best practices of alerting, based on our experience working with a number of critical systems and software development teams.

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Releaseworks is an upskilling-focussed DevOps and cloud engineering consultancy based in London. We help some of the largest digital organizations in the world to take full advantage of the cloud, and implement DevOps ways of working. Our mission is to help software development teams release better software, faster. Releaseworks Academy is the collection of learning resources that we use to upskill the software development teams of our clients, as well as our own cloud engineers.

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