Elastic Observability's recent update to version 8.9 introduces significant storage optimizations by incorporating Time Series Data Streams (TSDS) for its integrations, leading to up to 70% reduction in disk space usage for metrics data. This update is aimed at popular integrations like Kubernetes, Nginx, AWS, Azure, and more, making metrics storage cost-efficient and scalable. The TSDS-enabled integrations utilize features such as downsampling, which reduces data granularity to manage storage within budget, and synthetic source, which reconstructs data from doc_values to cut down on storage space. Additionally, TSDS optimizes indexing and retrieval by organizing data based on timestamps and dimensions, resulting in faster performance and more efficient data management. These enhancements are automatically available without manual configuration and are designed to be integrated outside the usual Elastic release cycle, offering seamless upgrades for users. The introduction of TSDS supports better long-term data analysis, reduces mean time to resolution (MTTR), and bolsters overall application performance, allowing organizations to better manage their growing data storage needs.