This chapter provides a comprehensive examination of AWS's native cost control and optimization tools, offering insights into managing cloud expenditure effectively. The discussion begins with AWS Cost Explorer, detailing its capabilities for analyzing historical spending patterns and generating future cost projections through advanced forecasting features. The chapter explores AWS Compute Optimizer's role in analyzing resource utilization patterns and recommending optimal instance types, highlighting its machine learning-driven approach. AWS Trusted Advisor's cost optimization pillar is examined, focusing on its automated checks for underutilized resources and potential savings opportunities. The recently introduced AWS Cost Optimization Hub is presented as a centralized platform that aggregates recommendations from various AWS services, while the AWS Cost Optimization Intelligent Dashboard provides enhanced visibility into cost-saving opportunities through customizable visualizations. The integration of AWS Q for QuickSight is discussed, demonstrating how natural language processing can simplify cost analysis and reporting. The chapter also covers AWS Config's role in maintaining cost-effective resource configurations and AWS License Manager's capabilities in optimizing software license costs. Each tool's features, implementation strategies, and best practices are detailed, providing readers with actionable insights for building a comprehensive cost optimization strategy in their AWS environment.