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Monitoring, Alerts, and Performance Optimization in Amazon Redshift

by Fernando Medina Corey

Amazon Redshift powers data analytics workloads at scale to drive business decisions. This course will teach you how to refine the use of Redshift by implementing monitoring and alerting and fine tuning the performance of your Redshift clusters.

What you'll learn

Amazon Redshift is a tool that powers data workloads at massive scale, but to get the most out of it you’ll need to understand how to operationalize it for your organization. In this course, Monitoring, Alerts, and Performance Optimization in Amazon Redshift, you’ll learn to configure Redshift with critical monitoring and alerting while optimizing Redshift for performance and observability. First, you’ll explore performance monitoring and alerting with Redshift. Next, you’ll discover how to optimize Redshift performance with fundamental tools and settings like compression, partitioning, and other cluster tools. Finally, you’ll learn how to optimize Redshift with built-in tooling. When you’re finished with this course, you’ll have the skills and knowledge of Amazon Redshift needed to take your use of Redshift to the next level.

Table of contents

Observability and Alerting in Amazon Redshift
18mins
Optimizing and Maintaining Redshift
18mins
Diagnosing and Troubleshooting Redshift Operations
12mins

About the author

Fernando Medina Corey

Fernando works full time learning the newest trends and tools in application development in order to share them with application developers and architects. Before this, he worked as a Data Engineer at Curalate, where he analyzed data from products used by hundreds of the world's leading visual brands. He also writes frequently about serverless development, and data and security topics. He especially enjoys helping others learn about cloud infrastructure offerings to better support the needs of d... more

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