Elastic{ON} on demand

Kick off Elastic{ON} with visionary keynotes from Elastic leaders and industry experts, showcasing how organizations everywhere are transforming data into action. Discover the future of AI-powered search, observability, and security, and see how Elastic's innovations are redefining performance, scalability, and intelligence across industries. From product announcements to customer success stories, the keynote sets the stage for a day of learning, inspiration, and real-world impact.

At Elastic{ON}, dive deep into the evolving world of Search — where relevance, scale, and performance must coexist. From designing hybrid search architectures to advancing relevance engineering across massive datasets, you'll discover how to deliver search experiences that are fast, precise, and contextually intelligent. Whether your use case is product search, enterprise knowledge retrieval, or AI-powered insight, this track shows you how to build search solutions that scale without compromise.

In the Observability track, learn how to turn raw signals and metrics into actionable insights in real time. Explore strategies around logging, metrics, tracing, and event streams — and how to correlate them to root causes or emerging issues. We'll also cover performance at scale, storage efficiency, and how to balance cost versus fidelity in massive environments. This track is ideal for engineers and platform teams who want to maintain visibility, reliability, and operational excellence in complex distributed systems.

Security at Elastic{ON} focuses on building resilient, auditable systems that protect against threats — without introducing friction. Topics include threat detection, anomaly detection, SIEM and XDR workflows, and compliance-driven logging and alerting. You'll see how to unify search and security workflows to detect, investigate, and respond faster. This track is designed for security engineers, SOC teams, and architects who want to embed observability and search into a robust security posture.

Discover the latest innovations in the EON Paris 2025 Keynote, hosted by our Founder and CTO Shay Banon and Baha Azarmi, VP of customer engineering.

Discover how Elastic empowers enterprises with search, machine learning, and AI for real-time insights from vast datasets.

Bahubali Shetti, senior director of observability at Elastic, reviews the state of observability and Elastic's AI-powered solution. Krissi Yan, staff software engineer at Synopsys, demonstrates insights from an AI assistant linked to a local LLM. Kirti Parida, DevOps architect at Informatica, shares how they reduced MTTR by 40% using Elastic Observability.

James Spiteri, director of product management at Elastic, provides insights on using AI-driven security analytics to simplify alert triaging, data integration, and investigations. Rob McQueen, cybersecurity manager at Bay Area Rapid Transit (BART), discusses how Elastic Security has bolstered BART's cybersecurity measures and secured AI. Additionally, a demo of generative AI features on the Elastic Search AI Platform showcases how security analysts can detect and remediate threats faster.

Steve Kearns, GVP of product management at Elastic, uncovers how the latest platform innovations simplify building and scaling Elastic solutions. Varsha Chandan, software development engineer, and Jordan Moore, software engineer, at Adobe dive into how they leverage AI and Elasticsearch to reduce the time and costs associated with developer tools and diagnosing issues.

Manny Daniele, senior account technology strategist at Microsoft, and Hiral Shah, director of product management at Docusign, explore how the partnership between Elastic and Microsoft delivers value to Docusign.

Hear about current observability challenges in FinServ and how Elastic has helped Citigroup overcome these hurdles.

See how our latest platform innovations make it easier than ever to build and scale Elastic solutions.

Proactively fight attacks smarter with AI-driven security analytics, making triaging alerts, integrating custom data and investigations much simpler.

Discover the future of observability where identifying problems before customers do is the norm.

Discover how Elastic empowers enterprises with search, machine learning, and AI for real-time insights from vast data.

Learn how to configure Elastic Observability to manage applications and services on AWS and multicloud environments. You'll learn how you can surface issues and reduce MTTR by analyzing metrics and application logs utilizing Elasticsearch's AI/ML capabilities.

Learn how to configure Elastic Observability to manage applications and services on AWS and multicloud environments. You'll learn how you can surface issues and reduce MTTR by analyzing metrics and application logs utilizing Elasticsearch's AI/ML capabilities.

Generative AI applications have quickly gained popularity and companies are turning to them to improve their customers' and employees' experiences. Learn how to make a generative AI-powered search application by embedding proprietary or third-party ML models. Discover how you can use Elasticsearch as a vector database for creating, storing, and searching vector embeddings.

Learn how the Elastic AI Assistant and AIOps enhance an SRE's ability to provide deeper contextual insights into APM errors and log messages, analyze alerts, optimize code, and detect anomalies with log spike and pattern analysis. The result: streamlined operations

Discover how customers are transforming their operational approach to harness the power of Elastic. Bridge the gap from the lowest levels of your organization to the highest using the Elasticsearch Platform. You'll gain insights into how to align your technology strategy to measurable business outcomes.

Join us as we dig into Elasticsearch Query Language (ES|QL), Elastic's new piped language designed to simplify and transform data investigations. We'll demonstrate how ES|QL, powered by Elasticsearch's advanced query engine, delivers new search capabilities with real-time query processing, improving efficiency and driving value across observability and security. Learn how ES|QL accelerates resolution times, allowing for streamlined workflows while responding to alerts and threat investigations.

Join us as we delve into the innovative features of Elasticsearch, unveiling how these three customers are breaking new ground at the intersection of technology and creativity.

Join a conversation with Prashanth Chandrasekar from Stack Overflow to learn how to gradually leverage Elasticsearch.

The future doesn't build itself. It takes code. Curiosity. And a global community of developers, SREs, and SOC analysts pushing what's possible every day. See what's new — and what's next — across Elastic. From breakthroughs in the Search AI Platform and generative AI-powered applications to powerful new tools for Observability and Security, you'll leave with fresh ideas, practical takeaways, and a clear view of how you can start building smarter, observing faster, and securing better — today.

This session reveals the power of combining AWS's cloud innovation with Elastic's deep Search AI expertise to create extraordinary customer outcomes. Join us to learn how our generative AI-focused collaboration has impact in the areas of search, observability, and security. Walk away with a strategy and execution plan to leverage Elastic on AWS, and reap maximum benefits out of your cloud and AI investments.

Explore how Indian enterprises are turning GenAI hype into practical value. Learn how organizations are deploying retrieval augmented generation (RAG), vector search, and secure AI to power real-world use cases in support, analytics, and operations. Hear how developers, SREs, and security teams are evolving their tools and workflows to keep up with GenAI's rapid adoption, ensuring output quality, performance, and compliance in production environments.

Building technology resilience at scale for mission-critical systems

Discover how Elasticsearch's stateless architecture, currently used in Elastic Cloud Serverless, is being used as a new foundation for performance and scale. See how users are operating quicker with this architecture, and learn about upcoming performance capabilities like cross-project search and future applications to lower storage costs, increase indexing throughput, and separate of data and compute for other deployments like self-managed.

Welcome and opening remarks

In this session, Google Cloud ISV GTM Leader Anirudh Baskaran shares how Google Cloud and Elastic are building a next-generation architecture for data and AI for organizations across India.

The evolution of monitoring for modern systems

Follow an incident from alerts to handover. Elastic's AI capabilities help with incident triage (spikes, similar incidents), accelerate diagnosis (change vs. baseline, cited hypotheses across logs/metrics/traces), and clean up SLO and on-call (burn-rate config, flapping alerts, auto summaries). We’ll be clear on what works (spikes, change points, RAG) and what doesn’t (auto-push fixes, guaranteed RCA).

OpenTelemetry (OTel) is the open source standard for collecting logs, metrics, and traces from modern applications and infrastructure. Learn how to overcome challenges in ingesting and analyzing OTel data with ease in Elastic. You'll discover that you don’t need to change your existing OTel ingest configuration and can further simplify it when sending data into Elastic. We’ll cover Elastic’s managed OTLP endpoint, when you do or don’t need an OTel Collector Gateway, and how native OTel semantics in Elastic help accelerate analysis when resolving issues in your OTel-instrumented applications and Kubernetes clusters.

Advanced observability and real-time analytics at scale: Insights from 3 million writes/sec at PhonePe

Logs provide critical context for troubleshooting. In this talk, we’ll show how Elastic’s AI-driven capabilities simplify log ingestion, parsing, storage, and analysis — across both structured and unstructured data — to help pinpoint issues faster. This allows SREs to spend less time managing logs and more time solving problems with actionable insights in production.

Samsung observability journey with Elastic

AI agents powered by large language models (LLMs), while potent in generative tasks, inherently lack contextual grounding. Elastic anchors these agents in relevant data, making them more reliable, accurate, and trusted. This talk will look at how to compose AI agents using native Elastic tools like semantic search, hybrid search, and ES|QL to create an intelligent query layer exposed through Model Context Protocol (MCP). We'll also explore best practices for developing search agent prompts and discuss approaches for evaluation of search agents in comparison to traditional search-based metrics.

Improving search relevance using multilayer reranking

Vibe coding is changing how developers interact with platforms — prompt by prompt, idea by idea. You’ll see how Elastic teams and our community are using structured prompts, open standards like the Model Context Protocol (MCP), and natural language workflows to accelerate learning, demo faster, and unlock what’s possible on the stack.

Elasticsearch has become one of the most capable vector databases. This talk gives an overview of recent additions in quantization, performance, and scale optimizations, as well as the latest features for semantic and hybrid search. Hear about new features and take a deep dive into how things actually work under the hood.

Empowering India's workforce with APNA

Forging resilient security: From threats to recovery

Join us for a hands-on session in threat hunting and incident response with Elastic XDR. We’ll trace a real malware campaign that starts with a malicious email, compromises an endpoint, and drives toward full data exfiltration. See how Elastic XDR surfaces rich endpoint telemetry, correlates activity, and guides analysts from detection through investigation to rapid response. This session is built for practitioners who want clear, practical insights into using XDR to hunt, investigate, and stop endpoint-driven attacks.

AWS works with cloud-native companies to face challenges from an evolving threat landscape ranging from identity driven risks to sophisticated cloud-native attacks. Security operations must keep pace with scale, speed, and complexity to stay effective. CRED runs 24/7 security operations entirely on Elastic Cloud to address these challenges. In this session, we’ll share how Elastic Cloud powers end-to-end security operations on AWS, from scalable threat detection and proactive hunting to integrated threat intelligence and incident response.

Security teams are under pressure to do more with less. But AI features too often show up as a "black box" or as add-ons practitioners can't trust. In this session, you'll see how Elastic Security takes a different approach: AI that is built-in, transparent, and designed to help with the work you do every day. We'll dive into practical use cases where predefined agents already accelerate tasks like triage, enrichment, and guided response, and we'll preview what’s coming next in Elastic's agentic roadmap.

Data is growing exponentially, and adversaries are lurking longer, hiding in the noise. SOC analysts struggle to detect, investigate, and respond across fragmented tools and data that is often inaccessible for deep analysis. In this session, we’ll show how Elastic Security unifies your data, enriches alerts with context, and streamlines analyst workflows for effective threat detection and response.

Accelerating SOC efficiency: Speed, scale, and insights with Elasticsearch