Elastic

We’re incredibly proud of our team for taking first place in our recent Elastic hackathon with their “Augmented Infrastructure” project, built entirely with Elastic Agent Builder. But the real story is what happened next: The team donated their prize winnings, and Elastic matched the contribution, bringing $30,000 in support to local charities chosen by the team. 💙 Innovation is powerful. Innovation that gives back is even better. Huge congratulations to Alexander Wert, Bill Easton, Gil Raphaelli, Graham Hudgins, and Norrie Taylor. Take a look at their winning demo below, volume up!

Got a minute? See what Elastic Workflows + Agent Builder can do. Here's how Elastic handles alert investigations when automation and AI live directly inside Elasticsearch. Workflows acts as the platform’s native automation engine, coordinating and executing the steps. Agent Builder delivers context-driven AI agents grounded in your Elastic data, without the need to assemble and maintain a separate stack. For builders, it means less time stitching systems together and more time delivering reliable, explainable automation that fits directly into existing workflows. #AWSreInvent

Ever wonder how a senior solution architect keeps creativity flowing? In our latest Top Down profile, we step inside the dynamic workspace of Alena Fereday — a lifelong learner whose curiosity started with her mother’s BASIC and Turbo Pascal books. From Siberia to Sydney, from competitive sailing to solution architecture, Alena’s journey has always been powered by one thing: the joy of learning. Now at Elastic, she splits her time between customer workshops, hands-on experimentation, and raising three kids — all while keeping a desk setup built for focus and flexibility. Discover Alena’s favorite productivity tools, her take on juggling life’s chaos, and why she can’t wait to dive into Elastic Agent Builder → https://go.es.io/3Ym9Akd

The Elastic + Microsoft holiday calendar is officially live! 🎉 We’re bringing you 25 days of fresh insights for growth in 2026 — starting right now. From full-stack observability to intelligent search, every week brings something new to explore. Dive into our first week of insights and discover how Elastic on Azure can help you see, secure, and search everything. Start exploring today and get a head start on making 2026 your most insightful year yet. https://go.es.io/3YgE0EB

What a week at AWS re:Invent. From packed demos to busy speaker sessions, Elastic showed up with real momentum across agentic AI, automation, and high-performance search. And we capped the week with several major announcements: ✨ Amazon Web Services (AWS) AgentCore integration — accelerating how developers build context-driven agents with Elasticsearch. ✨ AWS Agentic AI Specialization — recognizing Elastic as an early leader in production-grade agentic systems. ✨ Elastic × Accenture collaboration — bringing together Elastic’s Search AI Platform and Accenture’s industry expertise to help enterprises scale GenAI. ✨ Elastic × NVIDIA — showcasing GPU-accelerated vector search with cuVS to dramatically speed indexing and retrieval for GenAI workloads. Pair all that with the excitement around Workflows, Agent Builder, Streams, and our builder-focused sessions. Thank you to everyone who stopped by, asked questions, and built with us. Onward. #AWSreInvent #SearchAI #AgenticAI

As AI and search workloads scale, speed and cost quickly become limiting factors, especially when your vector data grows into the millions (and beyond). That’s why our work with NVIDIA is such a big deal. By integrating NVIDIA cuVS directly into Elasticsearch, teams can now: • Index vector data up to 12× faster • Run heavy optimization tasks 7× faster • Reduce CPU load, freeing up infrastructure for real-time use cases • Achieve 5–6× better performance even when factoring in cost And critically: This all runs inside the same Elasticsearch deployment, with no separate systems, no complex integrations, and no extra operational overhead. For builders and IT leaders, this means: • Faster time to insight • Lower infrastructure strain • Better economics at scale Here’s what’s now possible with GPU-accelerated vector indexing in Elasticsearch: https://go.es.io/4iERMKI

In case you missed it: Elastic now has the Amazon Web Services (AWS) AI Specialization in Agentic AI. Why does this milestone matter right now? Because grounded agents, reliable automation, and context-driven workflows aren’t aspirational, they’re being built and deployed with Elastic today. This recognition validates the work our teams and customers are doing to make agentic AI practical, transparent, and production-ready This specialization isn’t a finish line, it’s fuel for what comes next. #AWSreInvent

Observability has entered a new chapter. Cost control + GenAI + OpenTelemetry = a new operational reality for SREs. 500+ leaders weigh in on the strategies driving performance, compliance & business value. Read the full report on how leaders are managing expectations and budgets to get the best performance from their SRE teams: https://go.es.io/48KVGOJ

From the show floor: This is what's creating buzz for Elastic at #AWSreInvent. Elastic is showcasing how Search and AI, workflow automation, and AI-driven security all run on a unified platform, helping teams cut investigation time, reduce manual triage, and turn raw data into clear signal they can act on with confidence. Our experts are sharing how builders can create reliable, grounded AI agents, streamline repetitive tasks, and transform messy, unstructured data into high-performing agentic solutions. If you’re in Vegas, stop by Booth 1112 to see it in action.

AI’s biggest roadblock isn’t the model, it’s data that isn’t ready for AI. Elastic, Accenture, and Amazon Web Services (AWS) are addressing that challenge with the Data Readiness Engine for GenAI, a new joint solution on AWS Marketplace designed to turn fragmented enterprise data into trusted, AI-ready context. What enterprises gain: 🔹 70+ prebuilt connectors to unify structured + unstructured data 🔹 Elasticsearch delivering semantic + vector search for grounding 🔹 Automated ingestion, cleansing, and enrichment 🔹 Security + compliance inherited from existing controls 🔹 One-click deployment through AWS Marketplace It’s the foundation organizations need to move from GenAI pilots to production — faster, safer, and at scale. As Ashutosh Kulkarni said: Every enterprise is sitting on a wealth of data — the challenge is making it accessible, trusted, and contextually searchable for AI. 📍 Don't forget to check us out at #AWSreInvent booth #1112 at 3:00 PM PT for a special lightning talk with Accenture! Explore the new Data Readiness Engine → https://go.es.io/4pDEn7Q