Elastic Supercharges Performance for Serverless Offering on AWS

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Key Terms

serverless technical

A cloud computing model where a company writes and runs pieces of application code while a cloud provider automatically handles the underlying computers and scaling, so the company doesn’t manage servers themselves. Think of it like ordering meals from a restaurant instead of stocking, cooking and cleaning a kitchen: it can lower upfront costs, speed product launches and scale with demand, but it also shifts control and dependence to the provider—factors investors watch for impacts on costs, growth and risk.

auto-scaled technical

Auto-scaled describes a system or service that automatically adjusts its capacity up or down in response to demand, like a restaurant that opens more tables when customers arrive and closes them when it’s quiet. For investors, it matters because automatic scaling can lower costs, reduce downtime, and support fast growth without large upfront investments in infrastructure, which can improve margins and reliability as usage changes.

stateless architecture technical

Stateless architecture is a way of designing software where each interaction includes all the information needed, so servers do not keep track of past requests or user sessions. Think of it like a vending machine that treats every purchase as a fresh transaction instead of remembering prior customers. For investors, this matters because stateless systems are usually easier and cheaper to scale, update, recover after failures, and integrate across services, reducing operational risk and supporting faster growth.

vector search technical

Vector search is a way computers find items by comparing compact numerical “fingerprints” that capture meaning or patterns, rather than exact words or labels. Think of it like a librarian who groups books by theme and style, so you find similar ideas even if the wording differs; for investors, it matters because it powers smarter recommendations, faster insights from large datasets, and new AI services that can drive revenue, cut costs, or create competitive advantage.

01/20/2026 - 09:00 AM

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

SAN FRANCISCO--(BUSINESS WIRE)-- 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.

About Elastic

Elastic (NYSE: ESTC), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is used by thousands of companies, including more than 50% of the Fortune 500. Learn more at elastic.co.

Elastic and associated marks are trademarks or registered trademarks of elasticsearch BV and its subsidiaries. All other company and product names may be trademarks of their respective owners.

1. https://www.elastic.co/search-labs/blog/elasticsearch-serverless-aws-performance-boost