Elastic has upgraded its Cloud Serverless offering on AWS by integrating the latest Graviton instances, resulting in up to 50% higher indexing throughput and 37% lower search latency. These improvements apply across both traditional full-text queries and advanced vector search for AI-driven applications, ensuring near-instantaneous query response even under complex workloads.

The fully managed, stateless architecture of Elastic Cloud Serverless now scales indexing and search independently, enabling teams to handle resource spikes seamlessly. During high-traffic events, indexing volumes increase without manual intervention, while quieter periods see resources automatically dialed back, helping customers maintain consistent performance and optimize cloud spend.

The AWS infrastructure upgrade has been rolled out automatically to all existing serverless projects at no additional charge and without any required configuration changes or migrations. Elastic reports that customers are already experiencing improved throughput and latency in production environments, underscoring the company’s commitment to delivering operational simplicity alongside performance gains.