In this lab, you will learn how to configure and deploy a secure and scalable logging system using AWS CloudWatch and AWS Lambda. You will follow a scenario involving a growing startup "Data Insights" that needs to enhance its logging capabilities for both security and performance. The workshop will guide you through the creation of a logging architecture that aggregates logs from various AWS services, securely encrypts them, and provides real-time monitoring and alerts. This lab encapsulates advanced topics like Lambda triggers, log data encryption using AWS KMS, and the use of metric filters to monitor key performance metrics. You'll gain hands-on experience in handling the full lifecycle of logs, from ingestion to analysis, using CloudWatch and additional AWS services to ensure comprehensive observability, security compliance, and operational efficiency. This session simulates a production environment where real-time insights can drastically improve the company's decision-making.
Data Insights, a fast-growing analytics company, needs to implement a robust and secure logging architecture to manage increasing amounts of data from multiple AWS services. The logging solution must ensure data privacy and compliance while providing real-time analytics to support business operations and security audits.
