Elastic

What's Devon Kerr, director of security research at Elastic, seeing at #BHUSA?

Data ➡️ intelligent agents ➡️ human team ➡️ automations

Custom socks, serious SOC. It's day 2 at #BHUSA! Join us at booth #3546 to patch your socks, catch a lightning talk, and check out a demo of our newly released Elastic AI SOC Engine (EASE).

Nothing like teeing up a #BHUSA lightning talk with a little magic 🎩 🔥

From streamlining migration to bringing AI to your existing SOC, see our full schedule of lightning talks and join us at booth 3546: go.es.io/4oqGEn1

You know you’re at #BHUSA when…

We're kicking things off on a busy day 1! Come see us at booth #3546 and learn how Elastic Security helps you detect and respond to threats faster with a unified solution for SIEM, XDR, and cloud security.

Removing a node from an Elasticsearch cluster - Elasticsearch Labs Explaining how to remove a node from an Elasticsearch cluster.

Learn how to remove a node from your Elasticsearch cluster without data loss or performance hits. Find out more in this blog: go.es.io/3IEqc27

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ECK made simple: Deploying Elasticsearch on GCP GKE Autopilot - Elasticsearch Labs Learn how to deploy an Elasticsearch cluster on GCP using GKE Autopilot and ECK.

Check out this quick guide on how to deploy Elasticsearch on Google Cloud Kubernetes (GKE) using Autopilot: go.es.io/40vqQFk

How to use Azure LLM Functions with Elasticsearch - Elasticsearch Labs Try out the example real estate search app that uses Azure Gen AI LLM Functions with Elasticsearch to provide flexible hybrid search results. See step-by-step how to configure and run the example app in GitHub Codespaces.

Dive into this step-by-step guide where we'll be using Azure LLM Functions with Elasticsearch for smarter query experiences: go.es.io/3TRvBW9

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Improving Copilot capabilities using Elasticsearch - Elasticsearch Labs Discover how to use Elasticsearch with Microsoft 365 Copilot Chat and Copilot in Microsoft Teams.

Discover how to improve Copilot capabilities using Elasticsearch by building a custom agent that will retrieve and utilize data in our latest blog: go.es.io/3IABq85

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Elastic and Armis integrate to deliver real-time IoT security insights

Learn how Armis integrates seamlessly to bring real-time visibility and security to unmanaged and IoT devices. Gain instant device intelligence, advanced analytics, and AI-powered investigations—no agents required: go.es.io/3TJDywn

the-next-evolution-of-observability-unifying-data-with-opentelemetry-and-generative-ai

Break down data silos and deliver faster insights, deeper context, and radically simplified troubleshooting with unified @opentelemetry.io-native data. Read how Elastic is rethinking observability: go.es.io/4o9g9CE

Elevating data security: Ingest data from an Azure Event Hub secured by Entra ID Fortify your Azure Event Hub data pipelines. This blog details how to use Logstash and Entra ID with OAuth for enhanced, centralized, and secure authentication, moving beyond traditional, less secure ...

Enhance your data pipeline security and learn how to configure Logstash to collect data from Azure Event Hub using Microsoft Entra ID and OAuth 2.0 for robust, centralized authentication: go.es.io/4f0GIFS

Geospatial distance search with Elasticsearch ES|QL - Elasticsearch Labs Exploring geospatial distance search in Elasticsearch Query Language (ES|QL), one of the most desired and useful features in Elasticsearch's geospatial search and in ES|QL.

Check out this quick guide to geospatial distance search with ES|QL—plus how it compares to the SQL and Query DSL equivalents: go.es.io/3TNhYHt

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AI adoption in security

Discover the top AI use cases in cybersecurity and the common pitfalls to avoid when adopting AI in your SOC: https://go.es.io/4lLJO2C

Get your Elasticsearch ingestion game to the next level by following these three tips: https://go.es.io/44yJtuF

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Unstructured data processing with NVIDIA NeMo Retriever, Unstructured, and Elasticsearch - Elasticsearch Labs Unstructured data processing with NV‑Ingest, Unstructured & Elastic

Ready, set, build! Discover how to create a scalable data pipeline for unstructured documents using @nvidia's NeMo Retriever, Unstructured Platform, and Elasticsearch in this blog: https://go.es.io/3ZMdqVg

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Enhanced monitoring of Amazon EKS with Elastic add-on capabilities Elastic Agent collects logs, metrics, and security data from your Amazon EKS clusters for enhanced monitoring. Learn how to set up Elastic Agent on EKS, some key considerations, and tips for getting t...

Elastic Agent collects logs, metrics, and security data from your Amazon EKS clusters—giving you full visibility. Learn how to set up Elastic Agent and get the most out of your monitoring stack: https://go.es.io/44w1PuW

Meet the Linear Retriever—boost hybrid search with weighted scoring and MinMax normalization for more consistent rankings, and learn how to configure it for optimized pipelines: https://go.es.io/4nsXpxz

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The current state of MCP (Model Context Protocol) - Elasticsearch Labs Learn about MCP, project updates, features, security challenges, emerging use-cases, and how to tinker around with Elastic’s Elasticsearch MCP server.

In his latest blog our Elastic Developer Advocate breaks down:
✅ What #MCP is and why it's gaining traction in the #AI community
✅ Real-world case studies
✅ Security challenges and new attack surfaces
✅ How to get started with Elastic's MCP servers

Learn more: https://go.es.io/3ZVIwtr

Mapping embeddings to Elasticsearch field types: semantic_text, dense_vector, sparse_vector - Elasticsearch Labs Discussing how and when to use semantic_text, dense_vector, or sparse_vector, and how they relate to embedding generation.

Semantic text, dense vector, and sparse vector — how do you know when to use each field type? 🤔

Dive into this blog to learn when to use them, and how they relate to embedding generation and usage strategies: https://go.es.io/44r1kCu

Index templating in Elasticsearch: How to use composable templates - Elasticsearch Labs Exploring composable templates and how to create them.

Master composable templates in Elasticsearch! Discover how to create them in this blog: https://go.es.io/3GfdA0B

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Announcing general availability of Elastic Cloud Serverless on Azure Elastic is excited to announce general availability of Elastic Cloud Serverless on Microsoft Azure. Built on the industry-first Search AI Lake architecture, it combines vast storage, low-latency query...

Elastic Cloud Serverless on @azure.microsoft.com is now GA! Powered by the same Elasticsearch you love, reimagined for the cloud - it's the fastest way to start and scale security, observability, and search hassle-free. Learn more in our latest blog: https://go.es.io/3IeAKVo

Elasticsearch search by two fields - Elasticsearch Labs Exploring techniques for searching by two fields, including multi-match queries, bool queries, and query-time field boosting.

Searching across multiple fields in Elasticsearch is a common requirement in many apps. In this blog, explore various techniques for searching by two fields in order to create more accurate and relevant search results: https://go.es.io/3GgybS6

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Elastic's GenAI capabilities now enabled by default in Elastic Cloud Elastic now includes a default managed LLM, prioritizing privacy and eliminating the need for additional setup or subscriptions. External LLMs continue to be supported, ensuring flexibility to meet user requirements.

AI, out-of-the-box with Elastic!

Users can now get immediate access to #GenAI capabilities with a built-in Elastic Managed LLM, prioritizing privacy and eliminating the need for additional setup or subscriptions. Discover more in this blog: https://go.es.io/3G0rxQ3

retrieval-augmented-generation

RAG without the “AG”?

Take the LLM out of the equation by leveraging semantic search and ELSER to build your applications. Get started here: https://go.es.io/400keyq

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Build a powerful RAG workflow using LangGraph and Elasticsearch - Elasticsearch Labs In this blog, we will show you how to configure and customize the LangGraph Retrieval Agent Template with Elasticsearch to build a powerful RAG workflow for efficient data retrieval and AI-driven responses.

Build a powerful RAG workflow using @langchain.bsky.social's LangGraph and Elasticsearch.

Learn how to efficiently retrieve data and AI-driven responses by configuring & customizing LangGraph with Elasticsearch: https://go.es.io/4n2V5gm

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Better Binary Quantization (BBQ): How & why to implement - Elasticsearch Labs Learn how to implement Better Binary Quantization (BBQ) into your use case and why you should.

Check out Elastic Developer Advocate @jessicagarson.bsky.social 's implementation guide for Better Binary Quantization! Learn how BBQ compresses vectors, making semantic search for text or similarity search faster and more efficient: https://go.es.io/4l4AMNO

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Using LlamaIndex Workflows with Elasticsearch - Elasticsearch Labs Learn how to create an Elasticsearch-based step for your LlamaIndex workflow.

Discover how to use LlamaIndex Workflows with Elasticsearch to quickly build a self-filtering search application using LLM in this blog: https://go.es.io/4j8C09A

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Why assigning custom data view IDs matters in Kibana This blog post highlights the importance of using custom data view IDs in Kibana. ...

Dashboards and visualizations breaking in Kibana? The culprit might be your data view IDs. Check out how a small step—setting custom IDs—makes a huge difference for scale and recovery: https://go.es.io/4eh4XiV

Kibana Alerting & Task Manager: Breaking past scalability limits - Elasticsearch Labs Kibana Alerting now scales 50x better, handling up to 160,000 rules per minute. Learn how key innovations in the task manager, smarter resource allocation, and performance optimizations have helped break past our limits and enabled significant efficiency gains.

Kibana alerting breaks past scalability limits! Spoiler alert: it now scales 50x better, handling up to 160,000 rules per minute. Learn more: https://go.es.io/4di4uw9

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Need to increase your primary shard count in Elasticsearch? This step-by-step guide breaks down the key methods to get it done. Check it out: https://go.es.io/4miNRog

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