Elastic has upgraded its Elastic Cloud Serverless offering on Amazon Web Services, delivering up to 50 % higher indexing throughput and 37 % lower search latency. The improvement is powered by the latest AWS Graviton instances and is applied automatically across all serverless projects, requiring no configuration changes or migrations from customers.
The upgrade comes at no additional cost, allowing users to benefit from faster performance and greater efficiency while maintaining the same pricing model. By leveraging Graviton’s superior price‑performance, Elastic has increased the speed of data ingestion and query response times, directly addressing the latency demands of real‑time analytics and generative‑AI workloads.
This operational milestone reinforces Elastic’s broader strategy to shift more workloads to serverless, a key driver of margin expansion. Faster, cost‑efficient performance is expected to accelerate adoption of Elastic Cloud Serverless, helping the company capture additional market share in the growing observability and AI‑context engineering space. The upgrade also supports Elastic’s focus on context engineering, where rapid data retrieval is critical for grounding large language models with private business data.
Ajay Nair, general manager of Platform at Elastic, said the upgrade “lets developers focus on building search, observability, security, and AI applications, not managing infrastructure. With this upgrade, we’re delivering faster performance and greater efficiency across a broad range of workloads, without added operational complexity.”
While the announcement does not include immediate market reaction data, the performance boost aligns with Elastic’s recent revenue growth in cloud services and its emphasis on high‑margin AI and observability solutions, positioning the company for continued expansion in these high‑growth segments.
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