Elastic{ON} on demand

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

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.