Technical requirements

The code files for this chapter are available on GitHub at https://github.com/PacktPublishing/Data-Engineering-with-AWS-Cookbook/tree/main/Chapter09.

Additional information

Before you start this chapter, you need to understand the following concepts:

• Logs: Logs are vital for diagnosing issues, auditing activities, and monitoring the health of your data lake. You can subscribe to specific events within your log files, such as errors and warnings, to stay informed about critical occurrences. This proactive approach enables you to address issues before they escalate, ensuring the smooth operation of your data lake services.
• Alarms: Alarms are used to monitor specific metrics and trigger actions based on predefined thresholds. For example, you can set an alarm for CPU utilization to notify the development team when usage exceeds a certain limit. Additionally, alarms can automate responses, such as launching new instances to handle increased load...