Elastic at Microsoft Build 2025 — Developers, developers, developers!

If you’re attending the event, we have a number of ways for you to connect with experts, learn more about the capabilities of AI, and dive deeper into Elastic.

• Attend sessions on AI use cases delivered by our Elastic technical experts:

  • Boost your app’s search: Using Azure LLM functions with Elasticsearch for smarter query experiences

  • From prompt to production: Observing Azure OpenAI with Elasticsearch

  • Mission: Scalable — Elastic Cloud Serverless meets Azure OpenAI

• View live demos of Elastic’s Search AI Platform and solutions for observability, security, and search.

• Network at our Refresh & Reboot session near Theater B on Tuesday, May 20, at 1:50 p.m.–2:05 p.m.

Stop by our Elastic booth #200 or check out our Microsoft Build event page for details.

Whether or not you’re attending the event, don’t miss our latest announcements! We’ve been innovating at a rapid pace to help your organization uncover real-time insights with Search AI.

Hybrid search support in Microsoft Semantic Kernel for Elasticsearch
In collaboration with the Microsoft Semantic Kernel team, we are announcing the availability of hybrid search capabilities in the .NET Elasticsearch Semantic Kernel connector. Read the blog.

Unifying security monitoring with Elastic Security and Microsoft Sentinel
Elastic has complementary strengths that can bring a lot of value to security teams that use Microsoft Sentinel. Take a dive into a few of the main ones by reading the blog.

LLM observability with Elastic: Optimizing spend and content moderation with Azure OpenAI
In a previous blog, we showed you how to set up observability for your models hosted on Azure OpenAI using Elastic’s integration. We’ve expanded the integration to also include Azure OpenAI content filtering and cost analysis for Azure OpenAI. Read the blog.

Transforming industries and the critical role of LLM observability: How to use Elastic's LLM integrations in real-world scenarios
Explore four industry-specific use cases that use large language models (LLMs) and learn how Elastic's LLM observability integrations provide insights into the cost, performance, and reliability of the LLM. Read the blog.

Better Binary Quantization (BBQ)
Interested in using one of the best vector databases in the world? Better Binary Quantization is a performant and efficient optimization for vector databases that is now part of Elasticsearch. Now generally available, it can help you transform data into answers, actions, and outcomes with Search AI. Read the release blog or optimized scalar quantization in Elasticsearch blog.

Elastic Security: Attack Discovery and Automatic Import
Struggling to keep up with a flood of security alerts? Elastic Security’s groundbreaking AI features are now generally available. You can use these features to reduce the time, resources, and expertise needed to convert security detection rules, allowing your security teams to modernize your security operations strategy while cutting costs. Read the blog.

Employ AI to accelerate your switch from your current SIEM to Elastic SecurityAutomatic Migration is now available in technical preview. It enables users to automate switching from an incumbent SIEM to Elastic Security without the need to manually rebuild existing detection rules. This reduces the cost, complexity, and risk that often comes with SIEM migration. Read the blog or press release.

Parse PDF text and table data with Azure AI Document Intelligence
Azure AI Document Intelligence is a powerful tool for extracting structured data from PDFs. Once the data is extracted, it can be indexed into Elastic Cloud Serverless to power retrieval augmented generation (RAG). Read the blog.

Elastic Cloud Serverless on Microsoft Azure
Based on our successful tech preview of Elastic Cloud Serverless on Microsoft Azure, we’ll soon be moving to general availability. Elastic Cloud Serverless provides the fastest way to start and scale observability, security, and search solutions without managing infrastructure. Built on the industry-first Search AI Lake architecture — which employs Azure Blob Storage — it combines vast storage, separate storage and compute, low-latency querying, and advanced AI capabilities to deliver uncompromising speed and scale. Read the blog.

Elastic AI Ecosystem
In case you missed it, we recently announced our AI Ecosystem to accelerate GenAI application development. Microsoft was one of the initial technologies in this ecosystem and plays a key ongoing role in AI innovation. The Elastic AI Ecosystem provides developers with a curated, comprehensive set of AI technologies and tools integrated with the Elasticsearch vector database, designed to speed time-to-market, ROI delivery, and innovation. Read the blog or press release.

Microsoft Partner of the Year award
For those who may have forgotten, Microsoft recognized Elastic as the 2024 US Partner of the Year and a finalist in the ISV Innovation category. This was spectacular since Elastic was among over 4,700 nominations submitted globally! This notable recognition highlights the strength of our partnership with Microsoft, particularly in the realm of AI. We're not just integrating; we're fundamentally reshaping how organizations build and deploy production-ready GenAI applications. Read the blog or press release.

Microsoft Build 2025 will have plenty in store for those seeking greater insights into how AI can shape the future of their organization. 

Stop by our Elastic booth #200 to start the conversation. We hope to see you there!

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. 

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