Personalizing Elastic App Search with results based on search history

With Elastic App Search, you can add scalable, relevant search experiences to all your apps and websites. It offers a host of search result personalization options out of the box, such as weights and boosts and curations. You could also add a these documents might interest you feature, which would surface additional content for users, similar to documents they’ve previously searched for. This post walks you through the process of creating this capability using the robust App Search APIs.


Solr Performance: Troubleshooting Solr Slow Queries Using Logs and Metrics

Let’s say you get an alert that one or more queries is slow. Or that your users complain, whichever comes first 🙂 We’ve all been there… How do you find the root cause for this slowness and then fix it? In this article, I’ll go through my usual thought process: first, I’d try to find which queries are slow. Then, I’d dig deeper: Let’s take a specific example and run through each step.


Doubling down on open, Part II

We are moving our Apache 2.0-licensed source code in Elasticsearch and Kibana to be dual licensed under Server Side Public License (SSPL) and the Elastic License, giving users the choice of which license to apply. This license change ensures our community and customers have free and open access to use, modify, redistribute, and collaborate on the code.

How to Tune Search Relevance in Elastic App Search - Version 7.10

When users run queries against your search engine, they’re interested in the most relevant documents. Elastic App Search makes it easy to further tune the search experience to optimize for your own needs. In this short video, we’ll show how documents are ranked and how you can change this ranking using intuitive, real-time relevance tuning.

Building a scalable, easy-to-use web crawler for Elastic Enterprise Search

Indexing the web is hard. There’s a nearly infinite supply of misbehaving sites, misapplied (or ignored) standards, duplicate content, and corner cases to contend with. It’s a big task to create an easy-to-use web crawler that’s thorough and flexible enough to account for all the different content it encounters.


Audi Business Innovation drives software development with Elasticsearch Service

Today’s cars are computers on wheels, and they’re powered by software as much as they are by batteries or gasoline. When it comes to building software for Audi, Volskwagen, Porsche, Traton, and other brands, that’s a task assigned to Audi Business Innovation (ABI). “Developers need the right tools in their hands that are easy to use,” says Stefan Teubner, an ABI team leader and DevOps engineer.

How to Build a Search Interface for Your Apps and Websites - Version 7.10

Great user interfaces are critical for search engines, but designing them can take a lot of effort. The Elastic App Search Reference UI makes it easy. In this video, you will learn how Reference UI gives you the keys to quickly set up a new custom search interface, whether you need to build a quick demo or lay the foundation of a production environment.

How We Improved Epsagon's Trace Search Using Epsagon

Dogfooding, aka “eating your own dog food”, is a common practice of organizations using their own products for real-world scenarios. Organizations that do it right enjoy the advantages of early-stage use-case validation, bug hunting, and feedback. Developers who actively use their own product gain confidence and a deeper understanding of their clients. Dogfooding is something we at the Epsagon team pride ourselves on.


How to migrate from self-managed Elasticsearch to Elastic Cloud on AWS

Increasingly, we are seeing on-prem workloads being moved onto the cloud. Elasticsearch has been around for many years with our users and customers typically managing it themselves on-prem. Elasticsearch Service on Elastic Cloud — our managed Elasticsearch service that runs on Amazon Web Services (AWS), Google Cloud, and Microsoft Azure across many different regions, is the best way to consume the Elastic Stack and our solutions for enterprise search, observability, and security.

How to Perform Search in Elastic Workplace Search - Version 7.10

Elastic Workplace Search provides a fast, scalable, unified, and relevant search experience across all your teams’ productivity and collaboration tools, such as Google Drive, Salesforce, and GitHub (and all your custom sources, too). In this video, you’ll learn various ways of searching for content using Workplace Search.