AWS Cost best practices for OpenSearch

OpenSearch is a versatile search and analytics engine that allows organizations to create tailored search experiences and analyze data in real-time, but it requires careful cost management to maximize value. Key strategies to optimize OpenSearch costs include selecting appropriate instance types for workload and budget, leveraging reserved instances for long-term savings, and optimizing storage costs by using appropriate storage classes like hot, warm, and cold based on access frequency. Index lifecycle management policies can automate the transition of data between storage classes, while data compression techniques can further reduce storage expenses without affecting performance. Regularly reviewing and adjusting index settings, along with monitoring cluster performance using tools such as Amazon CloudWatch, can identify areas for cost improvement. Additionally, implementing a cost allocation strategy by tagging resources with metadata can enhance cost tracking and resource utilization.