Elastic

If you’ve got 15 minutes at RSAC, walk away with practical ways to strengthen your security practice. Stop by the Elastic booth at #RSAC for Lightning Talks on AI agents, XDR investigations, threat hunting, automation Workflows, and more. 📍 Booth N-5678 🗓 Mar 23–26 go.es.io/4sYVX88

Faster indexing. Scalable RAG. Built for Kubernetes. Elastic GPU-accelerated vector search with NVIDIA cuVS is now available on Red Hat AI. Run search, RAG, and AI agents on-prem, in the cloud, or across hybrid K8s. See how it works: go.es.io/4bTyOxW At #GTC2026? Visit Booth 3200 or join one of our sessions.

Eager to streamline your ability to build, deploy, and scale enterprise AI? Dell AI Data Platform, now with Elastic and @nvidia, accelerates AI Workflows, strengthening the seamless deployment capability of your enterprise AI innovations. We break it down here: go.es.io/4rEKCZM

Head-based sampling in OpenTelemetry is cheap and practical, but it used to break throughput charts. The fix: carry sampling probability in tracestate so backends can estimate original trace volume. Learn how we implemented it in Java, JS, and Python ↓ go.es.io/4cSy51c

Elastic GPU-accelerated vector indexing with NVIDIA cuVS sets a new standard for high-performance vector search, eliminating a critical barrier to enterprise-scale AI. Vectorize massive volumes of data. Accelerate time to production. See how Elastic and NVIDIA transform your AI Workflows: go.es.io/4uAkoKB

Security teams need speed and visibility. See how Elastic Security brings SIEM, XDR, and AI-driven workflows together to help analysts detect, investigate, and respond faster. Visit us at #RSAC 2026 → Booth N-5678.

From GPU-accelerated indexing performance to unlocking unstructured data for AI agents, we’re breaking down what it takes to run AI in production. Join Elastic for two sessions on scaling enterprise AI. Add these to your #NVIDIAGTC 2026 agenda.

Elastic donated its OpenTelemetry PHP distro to the OpenTelemetry community! The project makes high-performance, zero-config observability more accessible for PHP devs everywhere. Install the package → restart PHP → start collecting telemetry. Learn more: go.es.io/3NlbVdk

Heading to #NVIDIAGTC ? So are we. Elastic + NVIDIA are eliminating the data bottleneck with GPU-accelerated vector search built for enterprise-scale AI. • Up to 12x faster indexing • 7x faster force merging • Lower CPU strain at scale Let’s talk about scaling AI without scaling infrastructure costs. go.es.io/3PgVTli 📍 Booth 3200 l March 16-19

Attention Elasticsearch Community! Elastic AutoOps is now free for every self-managed cluster with no license upgrade needed. AutoOps analyzes your clusters, identifies what is wrong, and tells you how to fix it: ✅ Automatic issue detection + fix recommendations ✅ Real-time slow query and bottleneck detection ✅ Resource optimization insights ✅ Central view of all clusters, no extra monitoring setup Learn more → go.es.io/40yKlME

Boost performance and cut costs on Elastic Cloud Hosted! Now supporting @AWS Graviton4 ARM hardware: • CPU Optimized ARM → up to 15% better price-performance • Storage Optimized ARM → up to 40% better price-performance All without changing how you build or operate on Elastic Cloud. Learn more: go.es.io/4tWTXP8

New state-of-the-art Jina embeddings models are now live on Elastic Inference Service! These models offer: •Top performance for models of their size •Multilingual and long-text support •Efficient, cost-effective performance for search and AI retrieval Learn more: go.es.io/4aLj9it

Collecting logs, metrics, and traces but still firefighting incidents? That’s often a sign of low observability maturity. Our Observability Maturity Guide helps teams identify gaps, reduce reactive work, and move toward more proactive, informed operations. Check out the guide: go.es.io/4aohkcr

Want to see how far you can push autonomous agents? We’re hosting a hackathon focused on building with the Elastic Agent Builder, and we want to see your most innovative implementations. The Challenge • Use the Agent Builder to create a custom AI assistant or tool that solves a real-world problem. Think beyond simple chat; we're looking for: • Actionable AI: Automation for IT requests or infrastructure management. • Custom Tooling: Integrating unique APIs or data sources via MCP. • Agentic RAG: Advanced retrieval strategies that provide precise, data-driven answers. Why join? • $20,000 in prizes. • Showcase your work: Get your project in front of the Elastic engineering community. • Build with the best: Access our latest features, including the Elasticsearch Open Inference API. • Get Featured: Top projects may be highlighted on Elasticsearch Labs All the details below. Deadline 27th February, 2026.

The Elastic Public Roadmap is here — now live on GitHub. See planned launches, explore what’s coming in the next 6–9 months, filter by solution, and search by version/release. Learn more 👉 go.es.io/3MHMfHD

GPU-accelerated vector indexing is now in technical preview. Elastic integrates NVIDIA cuVS into Elasticsearch so self-managed customers can speed up data indexing using NVIDIA GPUs. Customers can expect: •12x faster indexing •7x faster merging •Frees up CPU for other tasks Learn more: go.es.io/3MhBgnY

Elastic Workflows changes automation. 👉Developers build reliable workflows—no more patchwork code. 👉Security teams automate investigations, with AI agents stepping in when judgment’s needed. 👉Ops teams keep systems running smoothly, with AI agents ready for the unexpected. All natively in Elasticsearch. go.es.io/3NV3Qfy

Agents shouldn't just chat, they should act. Introducing Elastic Workflows — native automation built directly into Elasticsearch. Use Workflows to run defined tasks reliably and bring in AI agents when situations need judgment. Everything runs where your data is, no integrations required. Learn more: go.es.io/4kpGT07