Elasticsearch Service on Elastic Cloud has introduced new features that enhance flexibility and customization in cloud deployments, allowing users to better align their workloads with specific hardware profiles. These profiles—optimized for I/O, compute, memory, or a hot-warm configuration—enable tailored deployments that cater to varied use cases, such as CPU-intensive tasks or memory-heavy operations. Users can further customize deployments by configuring hardware for different nodes and instances, optimizing performance and cost-efficiency. Additionally, these enhancements facilitate more precise routing of requests to suitable nodes, improving overall system efficiency. The new functionalities are also slated for inclusion in Elastic Cloud Enterprise, enabling cloud administrators to tag and configure hardware for specific use cases, thereby streamlining infrastructure management and deployment creation through templates. These developments aim to provide a more optimized, cost-effective, and adaptable experience for Elasticsearch users.