Operations | Monitoring | ITSM | DevOps | Cloud

Learn more about product variants and SKUs and how to display a product hierarchy in search results using Elastic Enterprise Search. This technical demo shows how to index products for search, group variants, and add an in-stock filter. Additional Resources.

Learn how to create data views to help you analyze large amounts of logs on Elastic. Data views will help provide better insights on your log data.

Learn how to use search analytics in Elastic Enterprise Search and Kibana. This demo shows how to use search data in Elastic to improve the search experience. Get a quick tutorial on analyzing out-of-the-box search analytics like top search queries, queries with no results, and queries with no clicks. See how to enrich, visualize, and share analytics in Elastic.

Learn the steps for building a store locator with Elastic Enterprise Search. This technical demo shows how to ingest store location and city location data, update your schema for geolocation, search for a city and stores, and add a map with MapBox. Additional Resources.

Get a look at technologies that enable semantic search and its exciting applications. Get inspired on how to improve search experiences that not only meet but exceed customer expectations in eCommerce, customer service, knowledge management, and many more.

In this introductory demo, learn how to use Elastic Enterprise Search for ecommerce use cases to improve user experience across the buyer journey. See autocomplete, scoped search suggestions, filtering & faceting, conditional faceting, product variations, and in-store pickup and store locator capabilities. Additional Resources.

This video provides a step-by-step guide on how to observe Microsoft Azure environments. This will only take about 10 minutes of working time for you to get a fully configured Elastic Cluster that is actively collecting the data of your Azure environment. Chapters: Additional Resources.

Artificial intelligence for IT operations (AIOps) is a way to automate tasks that are typically carried out by site reliability engineers (SREs). It aims to make the lives of SREs easier by helping them reduce the amount of noise coming from systems, surface issues more easily, and perform root cause analysis by correlating data from different systems. AIOps can also automate actions based on identified problems using machine learning. In this video series, we demonstrate how to use Elastic to implement AIOps.

Artificial intelligence for IT operations (AIOps) is a way to automate tasks that are typically carried out by site reliability engineers (SREs). It aims to make the lives of SREs easier by helping them reduce the amount of noise coming from systems, surface issues more easily, and perform root cause analysis by correlating data from different systems.