Elastic Stack and Cloud are unveiling new capabilities to enhance user experience, particularly by facilitating faster insights and supporting a range of machine learning models, including vector search, while introducing a vision for a stateless Elasticsearch architecture. This development aims to create a fully-managed serverless Elastic Stack, offering simplified onboarding across popular cloud providers like AWS, Google Cloud, and Microsoft Azure. Elastic's integration with these platforms is designed to streamline data ingestion and analytics, with AWS users now able to initiate Elastic Cloud from the AWS console in just three clicks. The platform also enhances machine learning capabilities, supporting advanced features like vector search and modern natural language processing, thus improving search relevance and security threat detection. Elastic is investing in a new cloud-native architecture called Stateless Elasticsearch, which aims to optimize resource use by decoupling compute and storage, moving cluster state data to cloud storage services like Amazon S3, Azure Blobstore, and Google Cloud Storage. This approach is designed to enhance scalability and resilience while allowing users to independently manage compute resources. Existing and new Elastic Cloud customers can explore these features, with free trials and resources available for new users.