New virtual compute units deliver up to 50% higher indexing throughput and 37% lower latency — powering search, observability and security applications at no extra cost
Elastic (NYSE: ESTC), the Search AI Company, announced a more powerful Elastic Cloud Serverless on Amazon Web Services (AWS), delivering up to 50% higher indexing throughput and 37% lower search latency using new AWS Graviton instances at no extra cost to users1.
Elastic Cloud Serverless is a fully managed, auto-scaled service that enables independent scaling of indexing and search workloads, helping teams balance performance and cost-efficiency across a wide range of usage patterns. Its stateless architecture is designed to scale reliably for search, observability, and security use cases.
“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.”
Elastic Cloud Serverless upgrades on AWS include:
- Near-Instantaneous Query Response Times: Whether running traditional full-text queries or leveraging vector search for AI and RAG, customers get consistently low-latency performance.
- Faster Indexing: Users can now index larger data volumes and more complex documents, with increased throughput supporting near real-time data visibility.
- Handling Resource Spikes with Ease: Search and indexing resources scale more efficiently to maintain low latency, ensuring reliable performance during traffic surges or quieter periods.
This infrastructure upgrade is immediate and automatic across all AWS-based serverless projects. No configuration changes or migrations are required. To learn more, read the Elastic blog.
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