Elastic

Today we announced our Q3 FY26 earnings. We delivered an outstanding quarter with contributions from search, observability, and security. Swipe through to learn more and see our third quarter fiscal 2026 financial results. For our full results and information about forward looking statements and non-GAAP financial measures see our press release here: https://go.es.io/4aRgNPd

AI is moving fast, but one thing doesn’t change: context matters. Ken Exner says context engineering is what turns AI potential into real impact. You need to ground LLMs and agents in the right data. How are you thinking about context in your AI initiatives?

Attention Elasticsearch Community! Elastic AutoOps is now free for every self-managed cluster — no license upgrade, no credit card, no strings attached. AutoOps analyzes your clusters, identifies what is wrong, and tells you how to fix it: ✅ Automatic detection of issues and remediation steps ✅ Real-time detection of slow queries, shard imbalances, and resource pressure ✅ Resource utilization insights to right-size infrastructure based on actual usage ✅ Centralized view of all your clusters with no extra monitoring setup Enabled through Cloud Connect integration to Elastic Cloud. Only operational metadata is shared and analyzed, and your business data never leaves your environment. Learn more → https://go.es.io/4qWOipg

Behavioral detection spots unusual activity, but not everything suspicious is a threat. Until now, figuring out what really matters meant lots of rules, exceptions, and manual review. With ES|QL COMPLETION, you can add LLM reasoning directly into your detection queries. This helps teams better assess alert context, prioritize what needs attention, and reduce noise. Learn more and explore prebuilt rules from Mika Ayenson, Ph.D. and Samir B.: https://go.es.io/4rT63aB

Take advantage of improved compute efficiency, faster data processing, and more cost-effective scaling across search, observability, and security workloads — all without changing how you build or operate on Elastic Cloud Hosted. Elastic Cloud now supports Amazon Web Services (AWS) Graviton4-powered ARM hardware profiles, bringing the next generation of AWS compute to Elastic Cloud Hosted: • CPU Optimized ARM delivers up to 15% improved price-performance • Storage Optimized ARM delivers up to 40% improved price-performance Learn more: https://go.es.io/4tR99Nn

We’re excited to announce jina-embeddings-v5-text, two best-in-class multilingual embeddings models for high performance semantic search! These models offer: •Top performance for models of their size •Multilingual support for a wide range of languages and long texts •Efficient, cost-effective performance for search and AI retrieval •Available via Elastic Inference Service or self-hosted Learn more:https://go.es.io/3OnUiKn

Many teams collect logs, metrics, and traces, yet still spend most of their time firefighting incidents. That’s often a sign of low observability maturity. Elastic’s Observability Maturity Guide helps SRE and platform teams assess their current capabilities, identify gaps that keep them reactive, and learn how mature organizations improve incident response, reduce noise, and connect observability to business impact. Check out the guide: https://go.es.io/4tJyMQ8

What does it actually take to turn scattered data into real business outcomes? In this walkthrough, Anish Mathur shares how teams are putting Agent Builder to work across the business. Those capabilities show up in concrete ways across teams: • Helping support teams resolve issues faster • Analyzing marketing performance across multiple data sources • Powering more relevant product recommendations • Strengthening compliance and security investigations • Turning complex log data into clear root causes It’s about connecting distributed data, adding the right context, and taking solutions from proof of concept to production with confidence. See how organizations are moving from experimentation to real-world impact with Agent Builder.

Ever wonder how a software engineer gets into the flow to build? In our latest Top Down profile, we step inside the workspace of Matt Nowzari — a Search engineer at Elastic who’s drawn to performance, whether that’s in code or on the autocross track. Based in North Carolina, Matt works on tools like Open Crawler, Elastic connectors, and Agent Builder, helping transform complex external data into something people can actually explore and use. His days start with family time and early-morning collaboration across time zones, then shift into protected deep-work hours built for focus. From a carefully tuned desk setup and long-trusted mechanical keyboard to drum & bass playlists and a thoughtful approach to using AI as a critical sounding board, Matt shares how he stays sharp, curious, and always learning. Discover what Matt’s building, how he thinks about open source and community, and the project he’d tackle next if time weren’t a constraint → https://go.es.io/4qC9cd9

Building AI agents is easy. Building ones that actually understand your enterprise data and act safely on it is the hard part. Elastic Agent Builder lets you: • Ground agents in your indexed data across logs, metrics, security signals, and business systems • Use natural language to query and reason across structured and unstructured sources • Deploy agents that can take action through controlled, rules-based automation • Iterate quickly without stitching together multiple tools. With Elastic Agent Builder, your agents are context-aware, grounded in real data, and able to move from insight to action — in minutes. Watch the demo below.