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Elastic Brings Observability to AI Agents with Amazon Bedrock AgentCore

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observability technical
Observability is a company’s ability to see and understand what its software systems are doing by collecting and analyzing signals like logs, metrics and traces. For investors it matters because strong observability reduces the risk of downtime, hidden bugs or security issues, supports faster fixes and efficient scaling, and therefore can protect revenue, lower costs and signal disciplined operations — like having clear gauges and alarms on a complex machine.
site reliability engineers (SREs) technical
Site reliability engineers (SREs) are technical professionals who design, build and operate the systems that keep a company’s websites, trading platforms and data services running smoothly and quickly. They blend software engineering with operations to prevent outages, fix problems fast, and automate routine work — like hiring a building maintenance team that also builds smarter locks and sensors. For investors, effective SRE work reduces downtime risk, protects revenue and reputation, and lowers the chance of costly incidents.
large language model (LLM) technical
A large language model (LLM) is a type of artificial intelligence trained on massive amounts of text to read, write and analyze language, behaving like a very well-read assistant that can draft reports, answer questions and summarize information. For investors it matters because LLMs can boost productivity, enable new products or cost savings, and change competitive dynamics, while also creating risks around accuracy, bias and regulatory compliance that can affect a company’s value.
AI guardrails technical
AI guardrails are the policies, technical controls and review processes that steer how a company’s artificial intelligence systems behave, like guardrails on a highway keeping a car on the road. They matter to investors because they reduce legal, ethical and operational risks, protect reputation and help ensure AI-driven products deliver reliable results, which in turn affects revenue, compliance costs and long-term value.

Developers gain end-to-end monitoring, optimization and troubleshooting for AI Agents deployed with Amazon Bedrock AgentCore

SAN FRANCISCO--(BUSINESS WIRE)-- Elastic (NYSE: ESTC), the Search AI Company, today announced a new integration for Amazon Bedrock AgentCore that brings observability for AI agents and applications directly into the Elasticsearch platform. The integration allows site reliability engineers (SREs) and developers to monitor, optimize and troubleshoot agents running on Amazon Bedrock AgentCore.

Elastic Observability monitors AI agents and applications by ingesting all logs and metric signals to help you easily see performance, control costs, understand agent reasoning, and keep agent workloads running reliably. This delivers an end-to-end, unified view for deployment with Amazon Bedrock AgentCore and an organization's agents' large language model (LLM) interactions.

“As organizations deploy AI agents to production, the challenge is observing every layer of the agentic AI stack,” said Baha Azarmi, general manager of Elastic Observability. “Elastic’s Agentic AI Observability for Amazon Bedrock AgentCore gives teams curated dashboards to the full LLM execution path, with AI guardrails monitoring for safety and compliance, and predictable AI cost tracking.”

To learn more about the Elastic Observability integration in AWS AgentCore and how to get started, read the blog.

Availability

The Elastic Observability AWS Agentcore integration is available now. Start your free 7-day trial on AWS marketplace.

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.

Media Contact

Elastic PR

PR-team@elastic.co

Source: Elastic N.V.

Elastic N.V.

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