Elastic, widely recognized as the Search AI Company, has unveiled a significant performance upgrade to Elastic Cloud Serverless on Amazon Web Services (AWS). With this enhancement, the company delivers up to 50% higher indexing throughput and achieves 37% lower search latency, all by leveraging the latest AWS Graviton instances and notably, at no additional cost to customers.
To begin with, Elastic Cloud Serverless is a fully managed, auto-scaled platform designed to simplify how organizations build and operate search, observability, and security solutions. By allowing independent scaling of indexing and search workloads, the service helps teams optimize both performance and cost across diverse and unpredictable usage patterns. Moreover, its stateless architecture ensures reliable scalability, even as workloads fluctuate or data volumes grow rapidly.
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With this latest AWS-powered upgrade, Elastic further strengthens the platform’s ability to support modern, data-intensive applications. Developers and enterprises alike can now handle higher ingestion rates while maintaining consistently fast query performance. As a result, organizations gain near real-time visibility into their data without worrying about infrastructure limitations.
“Elastic Cloud Serverless lets developers focus on building search, observability, security, and AI applications, not managing infrastructure,” said Ajay Nair, general manager, Platform at Elastic. “With this upgrade, we’re delivering faster performance and greater efficiency across a broad range of workloads, without added operational complexity.”
In addition, Elastic highlighted several key improvements that customers will experience immediately. First, the platform now delivers near-instantaneous query response times, whether users are running traditional full-text searches or advanced vector searches that power AI-driven and retrieval-augmented generation (RAG) applications. This ensures consistently low latency, even as query complexity increases.
Next, Elastic Cloud Serverless now supports faster indexing, enabling users to ingest larger datasets and process more complex documents efficiently. Thanks to the higher throughput, teams can achieve near real-time data availability, which is critical for time-sensitive analytics, monitoring, and security use cases.
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Furthermore, the upgraded infrastructure handles resource spikes more effectively. During periods of heavy traffic or sudden data surges, search and indexing resources automatically scale to maintain low latency and stable performance. At the same time, the system scales down during quieter periods, helping organizations avoid unnecessary costs.
Importantly, this enhancement is automatic and immediate for all AWS-based Elastic Cloud Serverless projects. Customers do not need to modify configurations, perform migrations, or take any manual action to benefit from the upgrade. Elastic seamlessly applies the improvements in the background, ensuring a smooth and disruption-free experience.
Overall, this move reinforces Elastic’s commitment to delivering high-performance, scalable, and cost-efficient cloud-native solutions. By combining serverless simplicity with AWS Graviton-powered efficiency, Elastic continues to help organizations innovate faster while keeping operational overhead low.
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