-

Elastic Supercharges Performance for Serverless Offering on AWS

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.

 

Contacts

Media Contact
Elastic PR
PR-team@elastic.co

Elastic N.V.

NYSE:ESTC

Release Versions

Contacts

Media Contact
Elastic PR
PR-team@elastic.co

More News From Elastic N.V.

Elastic Named a Leader in the IDC MarketScape: Worldwide SIEM 2026

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, today announced that it has been named a Leader in the IDC MarketScape: Worldwide SIEM 2026 Vendor Assessment (Doc# US54126826, June 2026). Download the complimentary excerpt here. The IDC MarketScape’s assessment highlights several key strengths of Elastic Security, including: Elastic Common Schema and the underlying Elasticsearch engine allow customers to query security and operational data using a single language. C...

Elastic Named a Strong Performer in Extended Detection And Response Platforms, Q2 2026

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, today announced that it has been named a Strong Performer in The Forrester Wave™: Extended Detection And Response Platforms, Q2 2026. The report recognized Elastic Security’s SIEM-replacement capabilities, open data architecture, AI innovation, and endpoint protection. Access the complimentary report here. Elastic Security is an agentic security operations platform that unifies SIEM, XDR, and native automation. Elastic...

Elastic Observability Gives SREs a Head Start on Kubernetes Incident Investigations

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, today introduced an agentic Kubernetes investigation workflow and MCP-based observability skills that diagnose incidents the moment an alert fires. By the time an SRE opens the alert, the root cause has already been identified, evidence has been assembled, and recommended next steps have been surfaced. For teams running Kubernetes at scale, the gap between alert and answer costs time, compounds outages, and wears down...
Back to Newsroom