Overview
Observability demands are growing rapidly — but many on-prem Elasticsearch deployments weren’t built to handle today’s scale, complexity, or cost pressures.
In this session, we’ll take a strategic look at what changes when organizations move Elastic from on-prem to the cloud. Rather than focusing on technical migration steps, we’ll explore how modern, cloud-based observability architectures impact scalability, operational efficiency, and long-term cost control.
This webinar is designed for engineering and technology leaders evaluating how to evolve their observability stack to support growth, reliability, and future workloads.
What You’ll Learn
- How to migrate your on-prem Elastic observability to on-cloud efficiently
- The key differences between on-prem and cloud-based Elastic architectures
- How cloud-native observability impacts cost, performance, and operations
- What leaders often overlook when transitioning to cloud environments
- How to evaluate whether your current observability stack is future-ready
Real World Application
Scaling high-volume logs, metrics, and traces; supporting distributed and cloud-native systems; reducing operational overhead; improving uptime in mission-critical environments; and enabling AI-driven observability use cases without added infrastructure complexity.
Practical Insights
- Scaling observability for high-ingestion environments (logs, metrics, traces)
- Supporting distributed systems and modern cloud-native applications
- Reducing operational overhead for platform and infrastructure teams
- Improving system reliability and uptime in mission-critical environments
- Preparing observability platforms for AI-driven and data-intensive workloads
Overview
Running Elastic at scale requires more than cluster expansion. It demands architectural discipline, workload awareness, and intentional optimization.
In this live session, Senior Solutions Architect from Elastic, Mark Vovchuk shares real-world insights from working across observability, security, and large-scale Elastic deployments.
This is your opportunity to engage directly with Mark—ask questions, validate architectural decisions, and gain practical guidance grounded in hands-on Elastic experience.
What You’ll Learn
- How production Elastic clusters evolve at scale
- Avoiding premature optimization and architectural lock-in
- Cost-aware scaling strategies across hot, warm, cold tiers
- Performance tuning grounded in real ingestion patterns
- Designing Elastic for observability and security workloads
Real World Application
Many teams attempt to optimize before understanding their actual data behavior.
The result: rigid architectures, wasted budget, and unnecessary complexity.
Mark will share a practical approach shaped by hands-on experience at Elastic—
Start with clarity. Measure reality. Optimize with purpose.
Practical Insights
- Aligning infrastructure with ingestion rates and retention needs
- Scaling observability and SIEM workloads efficiently
- Identifying bottlenecks before they impact performance
- Designing flexible architectures that grow with your data
Overview
Marketing teams generate massive volumes of data — campaign metrics, website analytics, CRM records, ad performance, and customer engagement signals.
In this session, see how Kibana unifies that data into real-time dashboards to track ROI, optimize funnels, and improve customer journeys within a single Elastic environment.
What You’ll Learn
- Connect marketing data sources to Kibana using Elasticsearch and SQL connectors
- Build real-time dashboards for campaign performance, traffic, and conversions
- Track multi-channel attribution across paid, organic, and social campaigns
- Monitor customer journey funnels with interactive visualizations
- Design scalable reporting frameworks for growing marketing teams
Real-World Applications:
Marketing leaders use Kibana to eliminate reporting delays and gain instant performance clarity.
Track ad spend, channel performance, lead quality, and conversions in real time — unifying analytics, CRM, email, and paid media data into one decision-ready view.
Practical Insights:
- Structure marketing data for high-performance indexing and fast queries
- Build executive dashboards that highlight KPIs without overwhelming stakeholders
- Optimize data ingestion strategies for large-scale campaign environments
- Apply Elastic best practices to scale analytics as marketing grows
Overview
As LLMs move into production, visibility becomes essential. This webinar takes a practical, hands-on look at LLM observability using Elastic and OpenTelemetry.
We’ll show how targeted instrumentation reveals LLM behavior and performance, and how that data can be analyzed in Elastic alongside the rest of your system—clearly separating what requires manual instrumentation from what comes out of the box.
What You’ll Learn
- Manually instrument LLM calls with OpenTelemetry to capture spans, attributes, and relevant request metadata.
- Prompts and responses can be captured intentionally through code, with options for redaction, sampling, and data control.
- LLM requests surface naturally within distributed traces, showing their relationship to APIs, databases, and downstream services.
- Kibana dashboards and trace views make it easy to explore LLM latency, errors, and usage patterns alongside the rest of your system.
Real World Application
We’ll walk through a realistic LLM-enabled application with intentional OpenTelemetry instrumentation at key points, showing how LLM requests flow through the system and into Elastic for analysis and troubleshooting.
This reflects how teams are adopting LLM observability in production today—incrementally, with clear control over what data is captured.
Practical Insights
- Elastic and OpenTelemetry provide strong defaults, but capturing prompts, responses, and domain-specific data requires explicit instrumentation.
- Token usage and request metadata can be analyzed without hard-coding assumptions about cost or pricing models.
- LLM telemetry integrates naturally with logs, metrics, and traces, enabling AI behavior to be analyzed in the context of the entire system.
Overview
This episode explores how supply chain, inventory, and manufacturing teams use Kibana to gain real-time operational visibility. See how the Kibana SQL Connector brings data from ERP systems, production databases, and inventory platforms into a single, actionable view for faster and more informed decisions.
What You’ll Learn
- Connect relational databases to Kibana using the SQL Connector to eliminate manual exports and data silos.
- Build real-time dashboards for inventory levels, production status, and fulfillment KPIs.
- Query operational data with SQL and instantly convert results into interactive Kibana visualizations.
- Design scalable monitoring that stays responsive across multiple plants, warehouses, and regions.
Real-World Applications:
Teams use Kibana to track inventory movement across warehouses, monitor production bottlenecks, analyze supplier performance and lead times, and detect anomalies in supply chain operations before they disrupt delivery. These capabilities help reduce delays, improve planning accuracy, and increase operational resilience.
Practical Insights:
- Design Kibana dashboards that prioritize clarity for supply chain planners, operations managers, and plant teams.
- Structure inventory and production data to support accurate analysis and fast queries in Kibana.
- Optimize performance when querying large SQL datasets using indexing and query best practices.
- Apply lessons from real-world Elastic supply chain implementations to avoid common pitfalls.
Overview
Join us for an exciting look at how the next generation of AI is transforming healthcare. We are moving beyond basic data storage to show you how a "Search AI" approach can make your medical data work harder for you. Whether you are looking to speed up research or improve patient experiences, this session reveals how to use Elastic as a powerful engine to organize, find, and protect your most important information.
What You’ll Learn
- Simple Data Discovery: How to create a "search layer" that sits on top of your current systems to find what you need instantly.
- Private and Secure AI: How to run advanced AI models inside your own secure walls so sensitive patient data never has to leave your control.
- From Text to Action: Ways to automatically pull key details out of doctor-patient conversations to save time and reduce paperwork.
- Real-Time Dashboards: How to use simple, visual tools like Kibana to see what is happening in your organization right now.
Real World Application
See how healthcare teams are using Elastic to turn massive amounts of data into clear, life-saving actions. By using smart search tools and private AI, hospitals can now automatically summarize doctor-patient notes, spot health trends in real-time, and keep patient records completely secure within their own systems. These tools help staff spend less time on paperwork and more time on what matters most: patient care.
Practical Insights
- Total Privacy: Learn how to use "air-gapped" setups where your data stays local and completely private.
- Cost-Smart Scaling: Discover how to grow your AI projects without breaking the budget by using smart cloud and local hosting tricks.
- Real-Time Dashboards: How to use simple, visual tools like Kibana to see what is happening in your organization right now.
Overview
Modern e-commerce platforms are inherently data-intensive, driven by millions of user searches, clicks, and transactions across web and mobile channels. Customer experience, revenue conversion, and operational efficiency are increasingly determined by how effectively teams can search, analyze, and visualize behavioral data in real time.
In this webinar, we’ll explore how Elasticsearch and Kibana empower e-commerce teams to transform raw search and interaction data into actionable insights. Using real-world analytics such as query volume trends, click-through rates (CTR), top search terms, and geographic user distribution, we will demonstrate how Kibana enables business, product, and engineering teams to understand customer intent, optimize search relevance, and improve conversion outcomes.
What You’ll Learn
- Designing scalable e-commerce analytics dashboards using Kibana Lens and Maps
- Visualizing search performance metrics such as query volume, clicks, and CTR
- Identifying low-performing and zero-result searches through interactive filtering
- Analyzing customer search behavior across time, geography, and segments
- Using Kibana to correlate search engagement with business outcomes
- Proactively monitoring search relevance
Why Attend?
This session is designed for e-commerce product owners, search engineers, data engineers, and business analysts who want to:
- Transform raw search and click logs into structured, searchable datasets
- Build dynamic, real-time e-commerce analytics dashboards in Kibana
- Measure and improve search relevance using CTR and engagement metrics
- Gain deep visibility into customer intent and behavior
- Leverage Elastic as a unified platform for search analytics, visualization, and operational intelligence
Overview
The modern game is more data-driven than ever, and football clubs increasingly rely on analytics to drive tactical decisions, player scouting, and performance optimization.
In this webinar, we’ll explore how Elastic and Kibana can be used to analyze Champions League player performance using real match data. From expected goals (xG) visualizations to ML-powered finishing efficiency insights, discover how Elasticsearch transforms raw football events into meaningful analysis and automated intelligence.
What You’ll Learn
Data Ingestion & Match Events
- Learn how to ingest Champions League shot data including xG, shot locations, players, and match events into Elasticsearch using flexible pipelines.
Performance Dashboards & Visualizations
Build interactive Kibana dashboards to analyze:
- Player finishing efficiency (Goals vs xG)
- Shot maps and chance creation zones
- High-value scoring opportunities
Machine Learning: Player Form & Anomalies
Use ML jobs to detect:
- Hot streaks (players outperforming their xG)
- Underperformance (players failing to convert big chances)
- Sudden changes in attacking effectiveness
Tactical Insights Using Visual Analytics
Use Lens, Maps, and filters to break down:
- Team chance creation profiles
- Player shot selection tendencies
- Match-to-match performance evolution
Alerting & Real-Time Signals
- Set up alerts to identify unexpected performance drops or spikes in xG, enabling real-time insights a club analyst would monitor.
Why Attend?
Football analysts, data enthusiasts, and technical users will learn how to:
- Transform raw match events into structured, searchable datasets
- Build dynamic shot maps and xG dashboards inside Kibana
- Use anomaly detection to measure player form and finishing quality
- Extract tactical insights similar to professional football analytics teams
- Leverage Elastic as a real analytics engine for sports intelligence
Overview
Join our webinar to discover how Elastic enables retail and e-commerce brands to build AI-powered, scalable systems that drive personalization, improve search relevance, and unlock business growth. Designed for engineers, architects, and retail tech leaders, this session bridges deep technical insights with real-world retail innovation.
What You’ll Learn
- Core challenges in building intelligent retail systems with GenAI
- How Retrieval-Augmented Generation (RAG) enhances product discovery, personalization, and customer engagement
- Ways to optimize search, recommendations, and analytics using Elastic’s AI capabilities
- Proven frameworks to design and deploy Elastic-based GenAI architectures at retail scale
Real World Application
See how global retailers and marketplaces are transforming their customer experiences with Elastic + GenAI, from personalized shopping journeys and inventory optimization to AI-driven insights that improve conversions and retention.
Practical Insights
Walk away with actionable, engineer-to-engineer strategies for building high-performance GenAI systems powered by Elastic. Gain clarity on architecture design, deployment best practices, and real-world optimization tactics that make retail experiences faster, smarter, and more profitable
Overview
The retail landscape is evolving fast, and data is at the heart of every strategic decision. In this webinar, we’ll explore how Elastic can help retailers unify omnichannel data, gain actionable insights, and make data-driven decisions that improve operations, sales, and customer experiences. From dashboards tracking Black Friday trends to geospatial analytics for store performance, discover how Elastic transforms retail data into results.
What You’ll Learn
- Data Ingestion & Centralization: Learn best practices for bringing diverse retail datasets into Elasticsearch efficiently.
- Visualization & Dashboards: Build interactive dashboards to track sales trends, monitor customer journeys, and plan for peak seasons like Black Friday.
- Alerts & Anomaly Detection: Set up alerts for operational issues, unusual sales patterns, or changes in customer behavior.
- Geospatial Analytics & Store Performance: Use Kibana Maps to analyze sales density, identify high-potential regions, and optimize store locations.
- Single Customer View: Understand your customers’ journey across online and offline channels and visualize engagement patterns.
Why Attend?
Retail professionals, data analysts, and operations leaders will learn how to:
- Break down data silos to create a 360° view of customers and operations.
- Optimize store and regional performance using geospatial insights.
- Respond quickly to sales trends, operational issues, and customer behavior changes.
- Deliver personalized customer experiences through better understanding of engagement patterns.
Overview
The travel industry runs on data - bookings, flight schedules, loyalty programs, customer reviews, and operational performance metrics. But without the right tools, that data is just noise.
In this first episode of our “Kibana in Action” monthly series, we’ll show how travel companies are using Kibana dashboards to transform raw data into insights that improve customer experience, streamline operations, and drive smarter business decisions.
What You'll Learn
This is an interactive, technical session designed for professionals who want to learn the basics of Elasticsearch and Kibana through real-world airline scenarios.
You’ll leave with:
- Foundations of Elasticsearch & Kibana – how airlines use Elastic to store and analyze massive volumes of operational data.
- Getting started with Discover – navigate, search, and filter airline logs (flight searches, errors, response times).
- Building Data Views – connect Kibana to airline datasets (airline-logs-*) and explore fields like origin, destination and status.
- Running Queries in KQL – find failed searches, slow routes, and popular destinations in seconds.
- Saving Searches for Dashboards – create reusable insights to power dashboards in future sessions.
Why Attend?
- A solid foundation in Elasticsearch and Kibana – understanding how data is stored, searched, and explored.
- Hands-on experience with Kibana Discover and Data Views – learn how to search, filter, and analyze data in Kibana, interactively querying airline logs, filtering results, and saving searches.
- Actionable insights you can apply immediately – build a strong foundation in Elasticsearch & Kibana that you’ll extend into dashboards, alerts, and advanced analytics in future sessions.
Overview
Join our webinar to explore how Elastic powers intelligent, scalable GenAI solutions for the finance sector, combining deep technical insight with real-world experience. Tailored for engineers, architects, and tech leaders, this session dives into proven use cases, resilient system architectures, and actionable rollout strategies. Walk away with a clear game plan to build secure, high-impact GenAI systems with Elastic at the core.
What You'll Learn
- The core challenges in building effective GenAI applications
- How Retrieval-Augmented Generation (RAG) enhances AI performance
- Real-world banking and insurance use cases powered by Elastic
- Technical deep dive: How to build and deploy Elastic-based GenAI architecture
Real-World Applications
- Hear how Elastic is powering advanced GenAI use cases in leading financial institutions from intelligent document processing and fraud detection to customer support and regulatory compliance.
Practical Insights
- Get clear, engineer-to-engineer guidance on building high-performance Elastic + GenAI systems with enterprise-grade observability, scalability, and trust. This session moves beyond the buzzwords to give you real strategies that work
Overview
This webinar explores the implementation of Retrieval-Augmented Generation (RAG) using Elastic Search Relevance Engine (ESRE), addressing common challenges in GenAI applications. It covers the evolution of search—from keyword and full-text to vector and hybrid approaches—highlighting trade-offs and strategies for effective retrieval. Attendees will gain practical insights into building scalable, intelligent search systems that power next-gen AI solutions.
What You'll Learn
- The core challenges in building effective GenAI applications
- How Retrieval-Augmented Generation (RAG) enhances AI performance
- Key differences and trade-offs between keyword, full-text, vector, and hybrid search
- How to implement and optimize RAG using Elastic Search Relevance Engine (ESRE)
Real-World Applications
- Explore how Retrieval-Augmented Generation (RAG) and Elasticsearch Relevance Engine (ESRE) are used to extract meaningful insights from unstructured data across various domains.
- This session will highlight how organizations are applying advanced search techniques—like hybrid and semantic search—to enhance decision-making, automate information retrieval, and build smarter GenAI applications.
Overview
Join our webinar to Explore how Natural Language Processing (NLP) and Named Entity Recognition (NER) can be used to transform unstructured data into actionable insights. We’ll share real-world implementation and highlight how Elastic enables broader application across industries.
What You'll Learn
- How NLP/NER can turn messy data into structured intelligence
- A breakdown of a real-world implementation
- How Elastic supports scalability and cross-industry adoption
Real-World Applications
- Explore how NLP and Elasticsearch are used to extract critical information—such as ingredients and hazards—from unstructured data in the food safety sector.
- This session will also highlight how similar approaches are being applied across other industries.
Overview
Join our webinar to discover how Elastic Agent and Fleet streamline data collection, observability, and security by replacing multiple tools with a single, lightweight agent managed through a centralized interface, covering agent enrollment, policy application, health monitoring, and real-world use cases like system monitoring and endpoint protection, all demonstrated through live demos.
What You'll Learn
Simplified Data Collection and Security
- Elastic Agents offer a unified solution for collecting logs, metrics, and security data, reducing complexity.
Efficient Management with Fleet
- Fleet provides a centralized way to configure, deploy, and monitor agents at scale.
Improved Security and Monitoring
- Elastic Agents integrate security features like endpoint protection and fine-grained access controls.
Scalable and Future-Ready
- Fleet Server ensures high availability and scalability, with ongoing updates to support new use cases.
Real-World Applications
- Discover examples of how Elastic Agents can be used for monitoring, security, and more.
- Learn best practices for scaling and maintaining agents in various environments.
Overview
Join our webinar to learn how to leverage Elastic solutions for enterprise security in today’s AI-driven era. Whether you’re new to the Elastic platform or already using it for security, this session will cover the importance of security in an AI landscape, how to secure your enterprise with zero-trust architecture, and how Elastic’s advanced security capabilities can help bolster your defenses.
What You'll Learn
- The evolving cybersecurity risk landscape in today’s AI-driven world
- Fundamentals of zero trust network architecture and its application
- Comprehensive overview of Elastic security capabilities
- Practical use cases demonstrating Elastic's solutions in action
Highlights from Industry Experts
Real-World Use Cases
- Discover real-world applications and case studies that illustrate how organizations have successfully addressed security challenges.
Practical Insights
- Receive actionable advice from seasoned professionals who bring a wealth of experience in network security and observability.
Overview
Join our hands-on webinar to learn how to leverage Elasticsearch for implementing efficient app search capabilities. Whether you're new to Elasticsearch or looking to optimize your existing search functionalities, this session is designed to provide practical insights and real-world applications.
What You'll Learn
Introduction to Elasticsearch
- Explore Elasticsearch’s distributed, RESTful search capabilities, covering core concepts such as indexing, querying, and data retrieval.
Examples and Use Cases
- Discover how Elasticsearch enhances search experiences across various applications, from ecommerce to SaaS platforms.
Hands-On Session
- Learn how to set up an Elasticsearch cluster, integrate it with a front-end application, and perform CRUD (Create, Read, Update, Delete) operations.
Boosting Techniques
- Master search relevancy adjustments to ensure an optimized user experience and deliver accurate search results tailored to your application's needs.
Overview
Join us for an engaging webinar on Kibana, the powerful visualization and analytics interface for the Elastic Stack. Whether you’re a beginner or looking to refine your skills, this session will guide you through exploring data, creating visualizations, and building interactive dashboards—all within Kibana. Learn how to transform raw data into actionable insights and take your observability, search, and security analytics to the next level.
What You'll Learn
Introduction to Kibana and the ELK Stack
- Get familiar with Kibana and how it helps visualize and analyze data in real time.
Exploring Data with Discover
- Learn how to use Discover to filter, query, and analyze logs easily using the Discover tool.
Creating Interactive Dashboards
- Watch a live demo on building dashboards with multiple visualizations, drilldowns, and filters to uncover key insights.
Highlights from Industry Experts
Actionable Takeaways
- Discover how Kibana can be leveraged for performance monitoring, security analytics and operational intelligence.
Practical Insights
- Gain hands-on strategies from experienced professionals on how to leverage Kibana for powerful data visualization, troubleshooting, and security analytics.
