Elastic and AWS collaborate to bring GenAI to DevOps, security, and search

Over the past decade, Elasticsearch has become one of the most popular open source projects, allowing you to run full-text search, semantic search, natural language processing, and multi-model search. As more and more applications are built in the cloud, we have partnered with AWS to meet your requirements around scale, performance, and innovation. 

This new agreement builds on a history of joint collaboration to help you build generative AI-based applications faster while reducing complexity. Elastic and AWS will continue to invest in technical integrations designed to help you drive your AI innovation. A perfect example where our partnership is delivering real business value is Adobe Commerce, supporting Adobe to deliver an AI-powered experience on its platform.

We also recognize that certain industry verticals deal with a variety of government regulations, compliance standards, data handling protocols, etc. As a result, Elastic and AWS will invest in industry-specific go-to-market approaches (including within the public sector) to build solutions that protect data across all layers of your organization.

What does all this mean to you?

You are already using Elasticsearch as your vector database. Well, our inference API allows you to quickly create an inference endpoint to Amazon Bedrock, which gives you  access to cutting-edge foundation models, such as Anthropic Claude, Llama, Cohere Commend, and DeepSeek R1, with no extra pipelines needed. Based on your use case, you can easily compare model performance and size. For instance, you can use Amazon's AI model family, Amazon Nova, alongside Elasticsearch to offer high performance and cost-efficiency.

Now that you have built your app, how do you monitor and manage your model usage and performance? Who is monitoring your AI? We invested in our integration with Amazon Bedrock not just to make it easier to build your RAG application, but also to manage and run it. Out of the box, Elastic collects Amazon Bedrock metrics and logs, making it easier to understand your model behaviors and to optimize and troubleshoot your large language model (LLM) applications. Learn more: Elastic AI Assistant for Observability and Amazon Bedrock.

As your AI workflow becomes more sophisticated, you discover your LLM application needs to chat with other applications. Elastic has published our MCP server, so you can connect your agents to your Elasticsearch data and interact through natural language conversations. Keep in mind we are still quite early here. But we have already published a tutorial for you to try it out: Model Context Protocol server to chat with your data in Elasticsearch.

If you have been using Elastic for a while, you probably have noticed that we release new features, capabilities, and security updates frequently. That’s what we love about being an open source company — the pace of innovation. To help you accelerate your organization’s innovation, we launched Elastic Cloud Serverless at AWS re:Invent 2024.

Not only does Elastic Cloud Serverless free you from the administrative tasks of managing infrastructure, capacity planning, upgrades, and scaling, it is also extremely cost-effective to run. With Serverless, you pay for what you use. Not only does Elastic Cloud Serverless automatically scale down when it is not in use, its stateless architecture also relies on affordable object storage, passing the savings back to you.

In addition, through the new SCA, Elastic and AWS are providing support for you in every part of your exploration and adoption journey. We are investing in enabling developers by bringing more hands-on-keyboard experiences across the globe, especially related to our joint innovation in generative AI. Furthermore, AWS is providing funding to support customers like you to pilot Elastic in their AWS environment. For those who are unable to experience the latest and greatest Elastic capabilities on AWS, we are providing funding to help you migrate to Elastic Cloud.

Last, we understand many of you enjoy the benefits and the experience from buying Elastic on the AWS Marketplace. Adding to the cost savings and predicability received when purchasing through your Elastic and AWS commitment plan, we are partnering together to offer incentives to new customers and monthly customers on AWS Marketplace. For more information, please contact [email protected].

If you are dealing with hundreds of alerts per day, you need help. Elastic was among the first in the industry to introduce an AI assistant for security use cases. Using Amazon Bedrock and LLMs, Elastic AI Assistant quickly helps you figure out where attacks are coming from. 

As an AWS Security Competency Partner, Elastic is committed to providing our joint customers with advanced security capabilities. One important integration we have invested in is AWS PrivateLink, connecting Elastic Cloud directly to your AWS VPC and restricting inbound traffic to only the sources that you trust. You can rest assured that your data won’t be compromised during transfer. For those of you operating in highly regulated industries, Elastic Cloud is FedRAMP authorized at the Moderate Impact level and available on AWS GovCloud. Elastic is also available as a self-managed solution. We believe in meeting you wherever you are.

Interested in how you can accelerate results that matter? For those of you who aren’t yet customers, start your own 7-day free trial by signing up via AWS Marketplace and quickly spin up a deployment in minutes on any of the Elastic Cloud regions on AWS around the world. Your AWS Marketplace purchase of Elastic will be included in your monthly consolidated billing statement and will draw against your committed spend with AWS. Buy with confidence in AWS Marketplace and uncover real-time insights with Search AI.

The release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all.

In this blog post, we may have used or referred to third-party generative AI tools, which are owned and operated by their respective owners. Elastic does not have any control over the third-party tools and we have no responsibility or liability for their content, operation or use, nor for any loss or damage that may arise from your use of such tools. Please exercise caution when using AI tools with personal, sensitive or confidential information. Any data you submit may be used for AI training or other purposes. There is no guarantee that information you provide will be kept secure or confidential. You should familiarize yourself with the privacy practices and terms of use of any generative AI tools prior to use. 

Elastic, Elasticsearch, and associated marks are trademarks, logos or registered trademarks of Elasticsearch N.V. in the United States and other countries. All other company and product names are trademarks, logos or registered trademarks of their respective owners.